%{search_type} search results

88,479 catalog results

RSS feed for this result
Book
1 online resource.
  • ""Front Cover""; ""ACADEMIC CROWDSOURCING IN THE HUMANITIES""; ""Series Page""; ""ACADEMIC CROWDSOURCING IN THE HUMANITIES: Crowds, Communities and Co-production""; ""Copyright""; ""CONTENTS""; ""ABOUT THE AUTHORS""; ""PREFACE""; ""ACKNOWLEDGEMENTS""; ""1
  • Introduction: academic crowdsourcing from the periphery to the centre""; ""INTRODUCTION""; ""CROWDSOURCING, CITIZEN SCIENCE AND ENGAGEMENT""; ""CROWD CONNECTIVITY: THE RISE OF SOCIAL MEDIA""; ""METHODOLOGY""; ""2
  • From citizen science to community co-production""; ""THE BUSINESS OF CROWDSOURCING""; ""CROWDSOURCING IN THE ACADEMY""
  • ""CROWDSOURCING AND SOCIAL ENGAGEMENT""""COMMUNITIES OF CROWDSOURCING: SELF-ORGANIZATION AND CO-PRODUCTION""; ""TERMINOLOGIES AND TYPOLOGIES FOR HUMANITIES CROWDSOURCING""; ""3
  • Processes and products: a typology of crowdsourcing""; ""HUMANITIES CROWDSOURCING: A TYPOLOGY""; ""PROCESS TYPES""; ""Transcribing""; ""Beyond transcription: correcting and modifying content""; ""Crowdsourcing as knowledge organization""; ""Crowdsourcing as creation and commentary""; ""Spatial processes: mapping and georeferencing""; ""Translating""; ""ASSET TYPES""; ""Geospatial""; ""Text""; ""Image""
  • ""Media assets: sound and video""""Ephemera and intangible cultural heritage""; ""Numerical or statistical information""; ""TASK TYPES""; ""OUTPUT TYPES""; ""CONCLUSION""; ""4
  • Crowdsourcing applied: case studies""; ""GEOSPATIAL INFORMATION""; ""Community archaeology""; ""Georeferencing""; ""TEXT""; ""Lexicography""; ""Text interpretation""; ""IMAGE""; ""Classification of images""; ""Tagging images""; ""Investigating images""; ""Researching (old) images""; ""CONCLUSION""; ""5
  • Roles and communities""; ""INTRODUCTION AND KEY QUESTIONS""; ""SOLITARY ROLES VERSUS COLLABORATIVE ROLES""
  • ""NETWORKS OF ROLES""""COLLABORATIVE ROLES""; ""ROLES AND EMPOWERMENT""; ""ROLES AND CONFLICT""; ""CONCLUSION""; ""6
  • Motivations and benefits""; ""MOTIVATIONS, INTRINSIC AND EXTRINSIC""; ""FROM COMMERCIAL TO ACADEMIC CROWDSOURCING""; ""THE ROLE OF COMPETITION""; ""LEARNING AND â#x80; #x98; UPSKILLINGâ#x80; #x99; ""; ""GAMIFICATION""; ""COMMUNITY AND SOCIAL MOTIVATIONS""; ""EVOLVING MOTIVATIONS""; ""MOTIVATIONS OF ACADEMICS AND OTHER PROJECT ORGANIZERS""; ""CONCLUSION""; ""7
  • Ethical issues in humanities crowdsourcing""; ""WHAT DO WE MEAN BY ETHICS IN HUMANITIES CROWDSOURCING?""
  • ""ETHICS AND THE CROWDSOURCING INDUSTRY""""LABOUR AND EXPLOITATION IN HUMANITIES CROWDSOURCING""; ""WHOSE DATA IS IT ANYWAY?""; ""PASTORAL CONCERNS AND PARTICIPANT WELL-BEING""; ""CROWDSOURCING AS PARTICIPATORY RESEARCH""; ""COMMUNITY-BASED PARTICIPATORY RESEARCH""; ""CONCLUSION""; ""8
  • Crowdsourcing and memory""; ""INTRODUCTION""; ""INTERNET MEMORY""; ""COLLECTIVE MEMORY""; ""INDIVIDUAL MEMORY""; ""MEMORY AND STRUCTURE""; ""GENERIC CROWD MEMORY: SHARED METHODOLOGICAL NARRATIVES""; ""Transcribing""; ""Collaborative tagging""; ""Recording and creating content""
Academic Crowdsourcing in the Humanities lays the foundations for a theoretical framework to understand the value of crowdsourcing, an avenue that is increasingly becoming important to academia as the web transforms collaboration and communication and blurs institutional and professional boundaries. Crowdsourcing projects in the humanities have, for the most part, focused on the generation or enhancement of content in a variety of ways, leveraging the rich resources of knowledge, creativity, effort and interest among the public to contribute to academic discourse. This book explores methodologies, tactics and the "citizen science" involved.
Book
xviii, 254 pages ; 24 cm
Science Library (Li and Ma)
Book
1 online resource (1 volume) : illustrations
Each new print copy of Android App Development includes Navigate 2 Advantage Access that unlocks a complete eBook, Study Center, homework and Assessment Center, and a dashboard that reports actionable data. Using innovative, engaging methods, Android App Development cultivates student knowledge of app development through a progressive, building block approach. Each chapter includes a classroom-friendly, meaningful app that illustrates the concepts covered at the chapter level. Model View Controller architecture is used throughout the book to promote good software engineering practice. Students will be engaged by essential as well as specialized topics such as XML resources, event-driven programming, animation, sounds, making a game, voice recognition, and more. Each new print copy of Android App Development includes Navigate 2 Advantage Access that unlocks a complete eBook, Study Center, homework and Assessment Center, and Key Features: * Android Studio, the official development environment by Google, is used to develop all applications * The Model View Controller architecture is used throughout the book, allowing the instructor to download the Model and concentrate on the View and Controller elements of the app * Students learn how to make device-independent apps using a progressive approach, incorporating fun topics such as animation, sounds, photo editing, using the GPS, displaying a map, and advertising * Software Engineering and Common Error boxes highlight software engineering tips and common errors throughout each chapter * Chapters are written independently of others so that instructors can select topics and customize the book to their course * Each chapter concludes with exercises for student practice, including Multiple Choice, Fill In the Code, and Write an App exercises.
(source: Nielsen Book Data)9781284092127 20170502
Book
1 PDF (xv, 157 pages).
  • 1. Introduction
  • 1.1 Applications of anomaly detection
  • 1.2 Cohen's impossibility results
  • 1.3 Zero-day exploits and APT
  • 1.4 Challenges of democratizing anomaly detection technologies
  • 1.5 Major developments on program anomaly detection
  • 1.6 New opportunities
  • 2. Threat models
  • 2.1 Faults vs. attacks and safety vs. security
  • 2.2 Data-oriented attacks
  • 2.3 Insider threats and inadvertent data leaks
  • 2.4 Attacks on control flows
  • 2.5 Mimicry attacks
  • 2.6 Segment length and mimicry attack difficulty
  • 3. Local vs. global program anomaly detection
  • 3.1 One big model vs. multiple small models
  • 3.1.1 Modeling byte distributions
  • 3.1.2 Multiple clusters for multiple behaviors
  • 3.1.3 Suitability test
  • 3.2 Local anomaly detection
  • 3.2.1 n-gram
  • 3.2.2 Hidden Markov model (HMM)
  • 3.2.3 Finite-state automaton (FSA)
  • 3.3 Global anomaly detection
  • 3.3.1 Examples of global anomalies and detection attempts
  • 3.3.2 Segmentation and representing infinite traces
  • 3.3.3 Inter-cluster and intra-cluster anomalies
  • 4. Program analysis in data-driven anomaly detection
  • 4.1 Security impact of incomplete training data
  • 4.2 Program analysis for guiding classifiers
  • 4.2.1 Quantifying control-flow graph
  • 4.2.2 Interfacing with Markov model
  • 4.2.3 Improving context sensitivity
  • 4.3 Program analysis for Android malware detection
  • 4.3.1 Android threat model and national security
  • 4.3.2 Data-dependence graph and Android malware examples
  • 4.3.3 User-trigger dependence-based detection
  • 4.4 Formal language model for anomaly detection
  • 5. Anomaly detection in cyber-physical systems
  • 5.1 CPS security challenges
  • 5.1.1 Background on CPS
  • 5.1.2 Security and the physical world
  • 5.2 Overview of cps anomaly detection
  • 5.3 Event-aware anomaly detection (EAD) framework
  • 5.3.1 Data-oriented attacks on CPS
  • 5.3.2 Reasoning cyber-physical execution semantics
  • 5.4 Event-aware finite-state automaton for CPS
  • 5.4.1 Definition of eFSA
  • 5.4.2 Event-aware detection in eFSA
  • 5.5 Evaluation of control-branch and control-intensity detection
  • 5.6 Deployment of CPS anomaly detection
  • 6. Anomaly detection on network traffic
  • 6.1 Threats of clandestine network activities
  • 6.2 Sensemaking of network traffic for anomaly detection
  • 6.2.1 Extrusion detection in BINDER and its generalization
  • 6.2.2 Multi-host causality and reasoning
  • 6.2.3 Collaborative sensemaking
  • 6.3 Definition of triggering-relation discovery
  • 6.4 Discovery of triggering-relation graphs for host security
  • 6.5 Sparsity of triggering relations and cost matrix
  • 7. Automation and evaluation for anomaly detection deployment
  • 7.1 Model drift and adapting anomaly detection to changes
  • 7.2 Sanitizing training data
  • 7.2.1 Overview of sanitization approaches
  • 7.2.2 Impact of basic sanitization
  • 7.2.3 Impact of collaborative sanitization
  • 7.3 Self-calibration and gradual retraining
  • 7.3.1 Automatic training optimization
  • 7.3.2 Automatic threshold selection
  • 7.3.3 Performance under self-calibration
  • 7.3.4 Gradual retraining
  • 7.4 Tracing overhead and Intel PT
  • 7.5 Experimental evaluation for data-driven anomaly detection
  • 8. Anomaly detection from the industry's perspective
  • 8.1 Anomaly detection in payment card industry
  • 8.2 Security operation centers (SOC)
  • 8.3 Anomaly detection in the pyramid
  • 8.4 Building your own anomaly detection toolkit
  • 8.5 Leveraging external knowledge in cyber security pyramid
  • 9. Exciting new problems and opportunities
  • 9.1 Deep learning and instruction-level anomaly detection
  • 9.2 Post-detection forensic, repair, and recovery
  • 9.3 Anomaly detection of concurrency attacks
  • 9.4 Mimicry generation, insider threat detection, automation, and knowledge base
  • Bibliography
  • Authors' biographies
  • Index.
Anomaly detection has been a long-standing security approach with versatile applications, ranging from securing server programs in critical environments, to detecting insider threats in enterprises, to anti-abuse detection for online social networks. Despite the seemingly diverse application domains, anomaly detection solutions share similar technical challenges, such as how to accurately recognize various normal patterns, how to reduce false alarms, how to adapt to concept drifts, and how to minimize performance impact. They also share similar detection approaches and evaluation methods, such as feature extraction, dimension reduction, and experimental evaluation. The main purpose of this book is to help advance the real-world adoption and deployment anomaly detection technologies, by systematizing the body of existing knowledge on anomaly detection. This book is focused on data-driven anomaly detection for software, systems, and networks against advanced exploits and attacks, but also touches on a number of applications, including fraud detection and insider threats.We explain the key technical components in anomaly detection workflows, give in-depth description of the state-of-the-art data-driven anomaly-based security solutions, and more importantly, point out promising new research directions. This book emphasizes on the need and challenges for deploying service-oriented anomaly detection in practice, where clients can outsource the detection to dedicated security providers and enjoy the protection without tending to the intricate details.
Book
1 online resource.
  • First-Order Equations. Applications of First Order ODE. Mathematical Modeling and Numerical Methods. Second-order Equations. Laplace Transforms. Series of Solutions. Applications of Higher Order Differential Equations. Linear Boundary Value Problems, Introduction to Green's Functions-- Nonhomogeneous Boundary Value Problems-- Singular Sturm--Liouville Problems, Bessel Series Expansion, Orthogonal Polynomial Expansions-- Appendix: Software Packages. Answers to Problems. Bibliography. Index.
  • (source: Nielsen Book Data)9781498733687 20171204
Applied Differential Equations with Boundary Value Problems presents a contemporary treatment of ordinary differential equations (ODEs) and an introduction to partial differential equations (PDEs), including their applications in engineering and the sciences. This new edition of the author's popular textbook adds coverage of boundary value problems. The text covers traditional material, along with novel approaches to mathematical modeling that harness the capabilities of numerical algorithms and popular computer software packages. It contains practical techniques for solving the equations as well as corresponding codes for numerical solvers. Many examples and exercises help students master effective solution techniques, including reliable numerical approximations. This book describes differential equations in the context of applications and presents the main techniques needed for modeling and systems analysis. It teaches students how to formulate a mathematical model, solve differential equations analytically and numerically, analyze them qualitatively, and interpret the results.
(source: Nielsen Book Data)9781498733687 20171204
EBSCOhost Access limited to 3 simultaneous users
Book
1 PDF (xvii, 157 pages).
  • PrefaceAcknowledgmentsIntroductionThe Virtual Memory AbstractionImplementing Virtual Memory: An OverviewModern VM Hardware StackModern VM Software StackVirtual Memory, Coherence, and ConsistencyHeterogeneity and VirtualizationAdvanced VM HardwareAdvanced VM Hardware-software Co-designConclusionBibliographyAuthors' Biographies.
  • (source: Nielsen Book Data)9781627056021 20171127
This book provides computer engineers, academic researchers, new graduate students, and seasoned practitioners an end-to-end overview of virtual memory. We begin with a recap of foundational concepts and discuss not only state-of-the-art virtual memory hardware and software support available today, but also emerging research trends in this space. The span of topics covers processor microarchitecture, memory systems, operating system design, and memory allocation. We show how efficient virtual memory implementations hinge on careful hardware and software cooperation, and we discuss new research directions aimed at addressing emerging problems in this space.Virtual memory is a classic computer science abstraction and one of the pillars of the computing revolution. It has long enabled hardware flexibility, software portability, and overall better security, to name just a few of its powerful benefits. Nearly all user-level programs today take for granted that they will have been freed from the burden of physical memory management by the hardware, the operating system, device drivers, and system libraries.However, despite its ubiquity in systems ranging from warehouse-scale datacenters to embedded Internet of Things (IoT) devices, the overheads of virtual memory are becoming a critical performance bottleneck today. Virtual memory architectures designed for individual CPUs or even individual cores are in many cases struggling to scale up and scale out to today's systems which now increasingly include exotic hardware accelerators (such as GPUs, FPGAs, or DSPs) and emerging memory technologies (such as non-volatile memory), and which run increasingly intensive workloads (such as virtualized and/or ""big data"" applications). As such, many of the fundamental abstractions and implementation approaches for virtual memory are being augmented, extended, or entirely rebuilt in order to ensure that virtual memory remains viable and performant in the years to come.
(source: Nielsen Book Data)9781627056021 20171127
Book
1 volume (various pagings) : illustrations (some color) ; 29 cm
  • 1 Basic Algebraic Operations 1.1 Numbers 1.2 Fundamental Operations of Algebra 1.3 Calculators and Approximate Numbers 1.4 Exponents and Unit Conversions 1.5 Scientific Notation 1.6 Roots and Radicals 1.7 Addition and Subtraction of Algebraic Expressions 1.8 Multiplication of Algebraic Expressions 1.9 Division of Algebraic Expressions 1.10 Solving Equations 1.11 Formulas and Literal Equations 1.12 Applied Word Problems 2 Geometry 2.1 Lines and Angles 2.2 Triangles 2.3 Quadrilaterals 2.4 Circles 2.5 Measurement of Irregular Areas 2.6 Solid Geometric Figures 3 Functions and Graphs 3.1 Introduction to Functions 3.2 More about Functions 3.3 Rectangular Coordinates 3.4 The Graph of a Function 3.5 Graphs on the Graphing Calculator 3.6 Graphs of Functions Defined by Tables of Data 4 The Trigonometric Functions 4.1 Angles 4.2 Defining the Trigonometric Functions 4.3 Values of the Trigonometric Functions 4.4 The Right Triangle 4.5 Applications of Right Triangles 5 Systems of Linear Equations Determinants 5.1 Linear Equations and Graphs of Linear Functions 5.2 Systems of Equations and Graphical Solutions 5.3 Solving Systems of Two Linear Equations in Two Unknowns Algebraically 5.4 Solving Systems of Two Linear Equations in Two Unknowns by Determinants 5.5 Solving Systems of Three Linear Equations in Three Unknowns Algebraically 5.6 Solving Systems of Three Linear Equations in Three Unknowns by Determinants 6 Factoring and Fractions 6.1 Factoring: Greatest Common Factor and Difference of Squares 6.2 Factoring Trinomials 6.3 The Sum and Difference of Cubes 6.4 Equivalent Fractions 6.5 Multiplication and Division of Fractions 6.6 Addition and Subtraction of Fractions 6.7 Equations Involving Fractions 7 Quadratic Equations 7.1 Quadratic Equations-- Solution by Factoring 7.2 Completing the Square 7.3 The Quadratic Formula 7.4 The Graph of the Quadratic Function 8 Trigonometric Functions of Any Angle 8.1 Signs of the Trigonometric Functions 8.2 Trigonometric Functions of Any Angle 8.3 Radians 8.4 Applications of Radian Measure 9 Vectors and Oblique Triangles 9.1 Introduction to Vectors 9.2 Components of Vectors 9.3 Vector Addition by Components 9.4 Applications of Vectors 9.5 Oblique Triangles, the Law of Sines 9.6 The Law of Cosines 10 Graphs of the Trigonometric Functions 10.1 Graphs of y = a sin x and y = a cos x 10.2 Graphs of y = a sin bx and y = a cos bx 10.3 Graphs of y = a sin (bx + c) and y = a cos (bx + c) 10.4 Graphs of y = tan x, y = cot x, y = sec x, y = csc x 10.5 Applications of the Trigonometric Graphs 10.6 Composite Trigonometric Curves 11 Exponents and Radicals 11.1 Simplifying Expressions with Integer Exponents 11.2 Fractional Exponents 11.3 Simplest Radical Form 11.4 Addition and Subtraction of Radicals 11.5 Multiplication and Division of Radicals 12 Complex Numbers 12.1 Basic Definitions 12.2 Basic Operations with Complex Numbers 12.3 Graphical Representation of Complex Numbers 12.4 Polar Form of a Complex Number 12.5 Exponential Form of a Complex Number 12.6 Products, Quotients, Powers, and Roots of Complex Numbers 12.7 An Application to Alternating-current (ac) Circuits 13 Exponential and Logarithmic Functions 13.1 Exponential Functions 13.2 Logarithmic Functions 13.3 Properties of Logarithms 13.4 Logarithms to the Base 10 13.5 Natural Logarithms 13.6 Exponential and Logarithmic Equations 13.7 Graphs on Logarithmic and Semilogarithmic Paper 14 Additional Types of Equations and Systems of Equations 14.1 Graphical Solution of Systems of Equations 14.2 Algebraic Solution of Systems of Equations 14.3 Equations in Quadratic Form 14.4 Equations with Radicals 15 Equations of Higher Degree 15.1 The Remainder and Factor Theorems-- Synthetic Division 15.2 The Roots of an Equation 15.3 Rational and Irrational Roots 16 Matrices-- Systems of Linear Equations 16.1 Matrices: Definitions and Basic Operations 16.2 Multiplication of Matrices 16.3 Finding the Inverse of a Matrix 16.4 Matrices and Linear Equations 16.5 Gaussian Elimination 16.6 Higher-order Determinants 17 Inequalities 17.1 Properties of Inequalities 17.2 Solving Linear Inequalities 17.3 Solving Nonlinear Inequalities 17.4 Inequalities Involving Absolute Values 17.5 Graphical Solution of Inequalities with Two Variables 17.6 Linear Programming 18 Variation 18.1 Ratio and Proportion 18.2 Variation 19 Sequences and the Binomial Theorem 19.1 Arithmetic Sequences 19.2 Geometric Sequences 19.3 Infinite Geometric Series 19.4 The Binomial Theorem 20 Additional Topics in Trigonometry 20.1 Fundamental Trigonometric Identities 20.2 The Sum and Difference Formulas 20.3 Double-Angle Formulas 20.4 Half-Angle Formulas 20.5 Solving Trigonometric Equations 20.6 The Inverse Trigonometric Functions 21 Plane Analytic Geometry 21.1 Basic Definitions 21.2 The Straight Line 21.3 The Circle 21.4 The Parabola 21.5 The Ellipse 21.6 The Hyperbola 21.7 Translation of Axes 21.8 The Second-degree Equation 21.9 Rotation of Axes 21.10 Polar Coordinates 21.11 Curves in Polar Coordinates 22 Introduction to Statistics 22.1 Graphical Displays of Data 22.2 Measures of Central Tendency 22.3 Standard Deviation 22.4 Normal Distributions 22.5 Statistical Process Control 22.6 Linear Regression 22.7 Nonlinear Regression Appendix A Solving Word Problems Appendix B Units of Measurement.
  • (source: Nielsen Book Data)9780134437705 20170515
For courses in technical and pre-engineering technical programs or other programs for which coverage of basic mathematics is required. The best-seller in technical mathematics gets an "Oh, wow!" update The 11th Edition of Basic Technical Mathematics is a bold revision of this classic best-seller. The text now sports an engaging full-color design, and new co-author Rich Evans has introduced a wealth of relevant applications and improvements, many based on user feedback. The text is supported by an all-new online graphing calculator manual, accessible at point-of-use via short URLs. The MyLab(TM) Math course features hundreds of new algorithmic exercises, tutorial videos, and PowerPoint slides. The text continues to feature a vast number of applications from technical and pre-engineering fields-including computer design, electronics, solar energy, lasers fiber optics, and the environment-and aims to develop students' understanding of mathematical methods without simply providing a collection of formulas. The authors start the text by establishing a solid background in algebra and trigonometry, recognizing the importance of these topics for success in solving applied problems. Also available with MyLab Math MyLab(TM) Math is an online homework, tutorial, and assessment program designed to work with this text to engage students and improve results. Within its structured environment, students practice what they learn, test their understanding, and pursue a personalized study plan that helps them absorb course material and understand difficult concepts. The MyLab Math course features hundreds of new algorithmic exercises, tutorial videos, and PowerPoint slides. Note: You are purchasing a standalone product; MyLab Math does not come packaged with this content. If you would like to purchase both the physical text and MyLab Math, search for: 0134465407 / 9780134465401 Basic Technical Mathematics plus MyLab Math with Pearson eText -- Access Card Package Package consists of: *0134437705 / 9780134437705 Basic Technical Mathematics *0321431308 / 9780321431301 MyLab Math -- Glue-in Access Card *0321654064 / 9780321654069 MyLab Math Inside Star StickerMyLab Math should only be purchased when required by an instructor.
(source: Nielsen Book Data)9780134437705 20170515
Science Library (Li and Ma)
Book
1 volume (various pagings) : color illustrations ; 29 cm
  • 1 Basic Algebraic Operations 1.1 Numbers 1.2 Fundamental Operations of Algebra 1.3 Calculators and Approximate Numbers 1.4 Exponents and Unit Conversions 1.5 Scientific Notation 1.6 Roots and Radicals 1.7 Addition and Subtraction of Algebraic Expressions 1.8 Multiplication of Algebraic Expressions 1.9 Division of Algebraic Expressions 1.10 Solving Equations 1.11 Formulas and Literal Equations 1.12 Applied Word Problems 2 Geometry 2.1 Lines and Angles 2.2 Triangles 2.3 Quadrilaterals 2.4 Circles 2.5 Measurement of Irregular Areas 2.6 Solid Geometric Figures 3 Functions and Graphs 3.1 Introduction to Functions 3.2 More about Functions 3.3 Rectangular Coordinates 3.4 The Graph of a Function 3.5 Graphs on the Graphing Calculator 3.6 Graphs of Functions Defined by Tables of Data 4 The Trigonometric Functions 4.1 Angles 4.2 Defining the Trigonometric Functions 4.3 Values of the Trigonometric Functions 4.4 The Right Triangle 4.5 Applications of Right Triangles 5 Systems of Linear Equations Determinants 5.1 Linear Equations and Graphs of Linear Functions 5.2 Systems of Equations and Graphical Solutions 5.3 Solving Systems of Two Linear Equations in Two Unknowns Algebraically 5.4 Solving Systems of Two Linear Equations in Two Unknowns by Determinants 5.5 Solving Systems of Three Linear Equations in Three Unknowns Algebraically 5.6 Solving Systems of Three Linear Equations in Three Unknowns by Determinants 6 Factoring and Fractions 6.1 Factoring: Greatest Common Factor and Difference of Squares 6.2 Factoring Trinomials 6.3 The Sum and Difference of Cubes 6.4 Equivalent Fractions 6.5 Multiplication and Division of Fractions 6.6 Addition and Subtraction of Fractions 6.7 Equations Involving Fractions 7 Quadratic Equations 7.1 Quadratic Equations-- Solution by Factoring 7.2 Completing the Square 7.3 The Quadratic Formula 7.4 The Graph of the Quadratic Function 8 Trigonometric Functions of Any Angle 8.1 Signs of the Trigonometric Functions 8.2 Trigonometric Functions of Any Angle 8.3 Radians 8.4 Applications of Radian Measure 9 Vectors and Oblique Triangles 9.1 Introduction to Vectors 9.2 Components of Vectors 9.3 Vector Addition by Components 9.4 Applications of Vectors 9.5 Oblique Triangles, the Law of Sines 9.6 The Law of Cosines 10 Graphs of the Trigonometric Functions 10.1 Graphs of y = a sin x and y = a cos x 10.2 Graphs of y = a sin bx and y = a cos bx 10.3 Graphs of y = a sin (bx + c) and y = a cos (bx + c) 10.4 Graphs of y = tan x, y = cot x, y = sec x, y = csc x 10.5 Applications of the Trigonometric Graphs 10.6 Composite Trigonometric Curves 11 Exponents and Radicals 11.1 Simplifying Expressions with Integer Exponents 11.2 Fractional Exponents 11.3 Simplest Radical Form 11.4 Addition and Subtraction of Radicals 11.5 Multiplication and Division of Radicals 12 Complex Numbers 12.1 Basic Definitions 12.2 Basic Operations with Complex Numbers 12.3 Graphical Representation of Complex Numbers 12.4 Polar Form of a Complex Number 12.5 Exponential Form of a Complex Number 12.6 Products, Quotients, Powers, and Roots of Complex Numbers 12.7 An Application to Alternating-current (ac) Circuits 13 Exponential and Logarithmic Functions 13.1 Exponential Functions 13.2 Logarithmic Functions 13.3 Properties of Logarithms 13.4 Logarithms to the Base 10 13.5 Natural Logarithms 13.6 Exponential and Logarithmic Equations 13.7 Graphs on Logarithmic and Semilogarithmic Paper 14 Additional Types of Equations and Systems of Equations 14.1 Graphical Solution of Systems of Equations 14.2 Algebraic Solution of Systems of Equations 14.3 Equations in Quadratic Form 14.4 Equations with Radicals 15 Equations of Higher Degree 15.1 The Remainder and Factor Theorems-- Synthetic Division 15.2 The Roots of an Equation 15.3 Rational and Irrational Roots 16 Matrices-- Systems of Linear Equations 16.1 Matrices: Definitions and Basic Operations 16.2 Multiplication of Matrices 16.3 Finding the Inverse of a Matrix 16.4 Matrices and Linear Equations 16.5 Gaussian Elimination 16.6 Higher-order Determinants 17 Inequalities 17.1 Properties of Inequalities 17.2 Solving Linear Inequalities 17.3 Solving Nonlinear Inequalities 17.4 Inequalities Involving Absolute Values 17.5 Graphical Solution of Inequalities with Two Variables 17.6 Linear Programming 18 Variation 18.1 Ratio and Proportion 18.2 Variation 19 Sequences and the Binomial Theorem 19.1 Arithmetic Sequences 19.2 Geometric Sequences 19.3 Infinite Geometric Series 19.4 The Binomial Theorem 20 Additional Topics in Trigonometry 20.1 Fundamental Trigonometric Identities 20.2 The Sum and Difference Formulas 20.3 Double-Angle Formulas 20.4 Half-Angle Formulas 20.5 Solving Trigonometric Equations 20.6 The Inverse Trigonometric Functions 21 Plane Analytic Geometry 21.1 Basic Definitions 21.2 The Straight Line 21.3 The Circle 21.4 The Parabola 21.5 The Ellipse 21.6 The Hyperbola 21.7 Translation of Axes 21.8 The Second-degree Equation 21.9 Rotation of Axes 21.10 Polar Coordinates 21.11 Curves in Polar Coordinates 22 Introduction to Statistics 22.1 Graphical Displays of Data 22.2 Measures of Central Tendency 22.3 Standard Deviation 22.4 Normal Distributions 22.5 Statistical Process Control 22.6 Linear Regression 22.7 Nonlinear Regression 23 The Derivative 23.1 Limits 23.2 The Slope of a Tangent to a Curve 23.3 The Derivative 23.4 The Derivative as an Instantaneous Rate of Change 23.5 Derivatives of Polynomials 23.6 Derivatives of Products and Quotients of Functions 23.7 The Derivative of a Power of a Function 23.8 Differentiation of Implicit Functions 23.9 Higher Derivatives 24 Applications of the Derivative 24.1 Tangents and Normals 24.2 Newton's Method for Solving Equations 24.3 Curvilinear Motion 24.4 Related Rates 24.5 Using Derivatives in Curve Sketching 24.6 More on Curve Sketching 24.7 Applied Maximum and Minimum Problems 24.8 Differentials and Linear Approximations 25 Integration 25.1 Antiderivatives 25.2 The Indefinite Integral 25.3 The Area Under a Curve 25.4 The Definite Integral 25.5 Numerical Integration: The Trapezoidal Rule 25.6 Simpson's Rule 26 Applications of Integration 26.1 Applications of the Indefinite Integral 26.2 Areas by Integration 26.3 Volumes by Integration 26.4 Centroids 26.5 Moments of Inertia 26.6 Other Applications 27 Differentiation of Transcendental Functions 27.1 Derivatives of the Sine and Cosine Functions 27.2 Derivatives of the Other Trigonometric Functions 27.3 Derivatives of the Inverse Trigonometric Functions 27.4 Applications 27.5 Derivative of the Logarithmic Function 27.6 Derivative of the Exponential Function 27.7 L'Hospital's Rule 27.8 Applications 28 Methods of Integration 28.1 The Power Rule for Integration 28.2 The Basic Logarithmic Form 28.3 The Exponential Form 28.4 Basic Trigonometric Forms 28.5 Other Trigonometric Forms 28.6 Inverse Trigonometric Forms 28.7 Integration by Parts 28.8 Integration by Trigonometric Substitution 28.9 Integration by Partial Fractions: Non-repeated Linear Factors 28.10 Integration by Partial Fractions: Other Cases 28.11 Integration by Use of Tables 29 Partial Derivatives and Double Integrals 29.1 Functions of Two Variables 29.2 Curves and Surfaces in Three Dimensions 29.3 Partial Derivatives 29.4 Double Integrals 30 Expansion of Functions in Series 30.1 Infinite Series 30.2 Maclaurin Series 30.3 Operations with Series 30.4 Computations by Use of Series Expansions 30.5 Taylor Series 30.6 Introduction to Fourier Series 30.7 More About Fourier Series 31 Differential Equations 31.1 Solutions of Differential Equations 31.2 Separation of Variables 31.3 Integrating Combinations 31.4 The Linear Differential Equation of the First Order 31.5 Numerical Solutions of First-order Equations 31.6 Elementary Applications 31.7 Higher-order Homogeneous Equations 31.8 Auxiliary Equation with Repeated or Complex Roots 31.9 Solutions of Nonhomogeneous Equations 31.10 Applications of Higher-order Equations 31.11 Laplace Transforms 31.12 Solving Differential Equations by Laplace Transforms Appendix A Solving Word Problems Appendix B Units of Measurement Appendix C Newton's Method Appendix D A Table of Integrals.
  • (source: Nielsen Book Data)9780134437736 20170515
For courses in technical and pre-engineering technical programs or other programs for which coverage of basic mathematics is required. The best-seller in technical mathematics gets an "Oh, wow!" update The 11th Edition of Basic Technical Mathematics with Calculus is a bold revision of this classic bestseller. The text now sports an engaging full-color design, and new co-author Rich Evans has introduced a wealth of relevant applications and improvements, many based on user feedback. The text is supported by an all-new online graphing calculator manual, accessible at point-of-use via short URLs. The new edition continues to feature a vast number of applications from technical and pre-engineering fields-including computer design, electronics, solar energy, lasers fiber optics, and the environment-and aims to develop your understanding of mathematical methods without simply providing a collection of formulas. The authors start the text by establishing a solid background in algebra and trigonometry, recognizing the importance of these topics for success in solving applied problems. Also available with MyLab Math. MyLab(TM) Math is an online homework, tutorial, and assessment program designed to work with this text to engage students and improve results. Within its structured environment, students practice what they learn, test their understanding, and pursue a personalized study plan that helps them absorb course material and understand difficult concepts. The MyLab Math course features hundreds of new algorithmic exercises, tutorial videos, and PowerPoint slides. NOTE: You are purchasing a standalone product; MyLab(TM) Math does not come packaged with this content. If you would like to purchase both the physical text and MyLab Math, search for: 0134469658 / 9780134469652 Basic Technical Mathematics with Calculus plus MyLab Math with Pearson eText -- Access Card Package Package consists of: * 013443773X/9780134437736 Basic Technical Mathematics with Calculus * 0321431308 / 9780321431301 MyLab Math -- Glue-in Access Card * 0321654064 / 9780321654069 MyLab Math Inside Star Sticker MyLab Math should only be purchased when required by an instructor.
(source: Nielsen Book Data)9780134437736 20170515
Science Library (Li and Ma)
Book
1 online resource.
ProQuest Ebook Central Access limited to 1 user
Book
li, 503 pages : illustrations ; [ca. 23-29] cm
  • Introduction to Big Data and Agile Business Big Data Framework for Agile Business (BDFAB) Data Science - Analytics, Context and Strategies Business Process Modeling (BPM)-- Agile Practices-- Big Data Adoption Process Enterprise Architecture (EA) and the Big Data Technical Eco-System Social Mobile (SoMo), Presentation and User Experience in Big Data Cloud-Based Big Data Strategies-- Sustainability-- Analytics-as-a-Service (AaaS) Big Data, Semantic Web and Collaborative Business Process Engineering (CBPE) NoSQL Databases and Big Data Strategies Quality& Service Assurance, Testing and Governance-Risk-Compliance (GRC) Within Big Data Big Data People and Communities Functioning Agile Organization with Big Data Adoption Big Data and Banking: A-Bank Case Study Big Data and Health Big Data and Education Appendices.
  • (source: Nielsen Book Data)9781498724388 20171218
Agile is a set of values, principles, techniques, and frameworks for the adaptable, incremental, and efficient delivery of work. Big Data is a rapidly growing field that encompasses crucial aspects of data such as its volume, velocity, variety, and veracity. This book outlines a strategic approach to Big Data that will render a business Agile. It discusses the important competencies required to streamline and focus on the analytics and presents a roadmap for implementing such analytics in business.
(source: Nielsen Book Data)9781498724388 20171218
Book
xiv, 360 pages ; 25 cm.
  • Perspectives and mathematics methods courses. Setting the stage: explorations of mathematics teacher educator practices / Signe E. Kastberg, Andrew M. Tyminski, Alyson E. Lischka, and Wendy B. Sanches ; Political conocimiento for teaching mathematics: why teachers need it and how to develop it / Rochelle Gutiérrez ; Challenges in mathematics teacher education from a (mostly) constructivist perspective / Martin A. Simon ; Teaching a mathematics methods courses: understanding learning from a situative perspective / Elham Kazemi
  • Using perspectives to inform scholarly inquiry and practice. Using the knowledge quartet to support prospective teacher development during methods coursework / Tracy L. Weston ; Three learning perspectives for translating curriculum into instruction / Darrell Earnest and Julie M. Amador ; Diverse perspectives on sociopolitical framings for mathematics methods / Frances K. Harper, Beth Herbel-Eisenmann, and Andrea McCloskey
  • Learning goals and activities in mathematics methods courses. Experiences using clinical interviews in mathematics methods courses to empower prospective teachers: a conversation among three critical mathematics educators / Theodore Chao, Jessica Hale, and Stephanie Behm Cross ; Situating learning for secondary mathematics prospective teachers within the context of rehearsals: challenges and resulting adaptations / Fran Arbaugh, Anne E. Adams, Dawn Teuscher, Laura R. Van Zoest, and Robert Wieman ; Rehearsing for the politics of teaching mathematics / Rochelle Gutiérrez, Juan Manuael Gerardo, Gabriela E. Vargas, and Sonya E. Irving ; Activities and a cognitive pedagogy for fostering prospective teachers' concept-development practices in mathematics methods courses / Barbara Kinach, Stephen Bismarck, and Wesam Salem
  • Activity development. An illustration of scholarly inquiry from the cognitive perspective: the development of an integer activity for prospective elementary or middle school teachers / Nicole M. Wessman-Enzinger and Wesam Salem ; Enhancing activities in mathematics methods courses to achieve sociopolitical goals / Brian R. Lawler, Raymond LaRochelle, and Angela Thompson ; Shifting focus: exploring the evolution of the learner analysis / Jennifer Ward
  • Activities and implementations. Bringing mathematics methods into classrooms / Rajeeve Virmani, Megan W. Taylor, and Chepina Rumsey, co-authoring with: Tabatha Box, Elham Kazemi, Melinda Knapp, Savarose Lynch, Catherine Schwartz, Barbara Swartz, Tracy Weston, Dawn Woods ; Prospective teachers analyzing transcripts of teaching / Laura M. Singletary, Zandra de Araujo, and AnnaMarie Connor ; Doing mathematics across languages: exploring possibilities for supporting emergent bilinguals' mathematical communication and engagement / Frances K. Harper, Wendy B. Sanchez, and Beth Herbel-Eisenmann ; Using mathematics autobiography stories to support emerging elementary mathematics teachers' sociopolitical consciousness and identity / Anne Marie Marshall and Theodore Chao
  • Looking inward. Interpretations and uses of classroom video in teacher eduction: comparison across three perspectives / Stephanie Casey, Ryan Fox, and Alyson E. Lischka ; Theoretical perspectives, goals, and activities for secondary mathematics education methods courses / Ryan C. Smith, Cynthia E. Taylor, and Dongjo Shin ; The "Mirror Test": a tool for reflection on our sociopolitical identities as mathematics teacher educators / Andrea McCloskey, Brian R. Lawler, and Theodore Chao
  • Commentary. A commentary with urgency: looking across theoretical perspectives to put relationship building with underserved students at the forefront of our work / Richard Kitchen.
Building Support for Scholarly Practices in Mathematics Methods is the product of collaborations among over 40 mathematics teacher educators (MTEs) who teach mathematics methods courses for prospective PreK?12 teachers in many different institutional contexts and structures. Each chapter unpacks ways in which MTEs use theoretical perspectives to inform their construction of goals, activities designed to address those goals, facilitation of activities, and ways in which MTEs make sense of experiences prospective teachers have as a result. The book is organized in seven sections that highlight how the theoretical perspective of the instructor impacts scholarly inquiry and practice. The final section provides insight as we look backward to reflect, and forward with excitement, moving with the strength of the variation we found in our stories and the feeling of solidarity that results in our understandings of purposes for and insight into teaching mathematics methods. This book can serve as a resource for MTEs as they discuss and construct scholarly practices and as they undertake scholarly inquiry as a means to systematically examine their practice.
(source: Nielsen Book Data)9781641130264 20180115
Science Library (Li and Ma)
Book
1 online resource (1 volume) : illustrations.
Book
1 online resource (1 volume) : illustrations
C++ Plus Data Structures, Sixth Edition explores the specifications, applications, and implementations of abstract data types with unmatched accessibility. Topics such as modularization, data encapsulation, information hiding, object-oriented decomposition, algorithm analysis, life-cycle software verification models, and data abstraction are carefully presented to foster solid software engineering techniques. NEW & KEY FEATURES OF THE SIXTH EDITION: * UPDATED - Updated with new C++11 features including range-based for loops and threads * NEW - Includes a new Chapter 10, Trees Plus, that emphasizes balancing of search trees by covering AVL Trees, Red-Black Trees, and B-Trees * NEW - Includes a new chapter on Sets, Maps, and Hashing * NEW - Chapter 12, Sorting, now includes practical performance issues and parallel merge sort * NEW - Chapters in the second half of the text are now easier to assign in alternate orders, supporting a wider range of course goals and organizations * NEW - Modern new design enhances the look and feel of the text * STUDENT FAVORITE - Pedagogical features include: chapter openers with goals, marginal definition boxes, algorithm boxes, C++ boxes, function boxes, case studies, chapter summary, and end of chapter exercises.
(source: Nielsen Book Data)9781284089189 20170502
Book
1 online resource (1 volume)
Book
1 volume (various pagings) : illustrations (some color) ; 29 cm
  • 0. Functions 0.1 Functions and Their Graphs 0.2 Some Important Functions 0.3 The Algebra of Functions 0.4 Zeros of Functions - The Quadratic Formula and Factoring 0.5 Exponents and Power Functions 0.6 Functions and Graphs in Applications 1. The Derivative 1.1 The Slope of a Straight Line 1.2 The Slope of a Curve at a Point 1.3 The Derivative and Limits 1.4 Limits and the Derivative 1.5 Differentiability and Continuity 1.6 Some Rules for Differentiation 1.7 More About Derivatives 1.8 The Derivative as a Rate of Change 2. Applications of the Derivative 2.1 Describing Graphs of Functions 2.2 The First and Second Derivative Rules 2.3 The First and Section Derivative Tests and Curve Sketching 2.4 Curve Sketching (Conclusion) 2.5 Optimization Problems 2.6 Further Optimization Problems 2.7 Applications of Derivatives to Business and Economics 3. Techniques of Differentiation 3.1 The Product and Quotient Rules 3.2 The Chain Rule 3.3 Implicit Differentiation and Related Rates 4. The Exponential and Natural Logarithm Functions 4.1 Exponential Functions 4.2 The Exponential Function ex 4.3 Differentiation of Exponential Functions 4.4 The Natural Logarithm Function 4.5 The Derivative of ln x 4.6 Properties of the Natural Logarithm Function 5. Applications of the Exponential and Natural Logarithm Functions 5.1 Exponential Growth and Decay 5.2 Compound Interest 5.3. Applications of the Natural Logarithm Function to Economics 5.4. Further Exponential Models 6. The Definite Integral 6.1 Antidifferentiation 6.2 The Definite Integral and Net Change of a Function 6.3 The Definite Integral and Area Under a Graph 6.4 Areas in the xy-Plane 6.5 Applications of the Definite Integral 7. Functions of Several Variables 7.1 Examples of Functions of Several Variables 7.2 Partial Derivatives 7.3 Maxima and Minima of Functions of Several Variables 7.4 Lagrange Multipliers and Constrained Optimization 7.5 The Method of Least Squares 7.6 Double Integrals 8. The Trigonometric Functions 8.1 Radian Measure of Angles 8.2 The Sine and the Cosine 8.3 Differentiation and Integration of sin t and cos t 8.4 The Tangent and Other Trigonometric Functions 9. Techniques of Integration 9.1 Integration by Substitution 9.2 Integration by Parts 9.3 Evaluation of Definite Integrals 9.4 Approximation of Definite Integrals 9.5 Some Applications of the Integral 9.6 Improper Integrals 10. Differential Equations 10.1 Solutions of Differential Equations 10.2 Separation of Variables 10.3 First-Order Linear Differential Equations 10.4 Applications of First-Order Linear Differential Equations 10.5 Graphing Solutions of Differential Equations 10.6 Applications of Differential Equations 10.7 Numerical Solution of Differential Equations 11. Taylor Polynomials and Infinite Series 11.1 Taylor Polynomials 11.2 The Newton-Raphson Algorithm 11.3 Infinite Series 11.4 Series with Positive Terms 11.5 Taylor Series 12. Probability and Calculus 12.1 Discrete Random Variables 12.2 Continuous Random Variables 12.3 Expected Value and Variance 12.4 Exponential and Normal Random Variables 12.5 Poisson and Geometric Random Variables.
  • (source: Nielsen Book Data)9780134437774 20170717
For one- or two-semester courses in Calculus for students majoring in business, social sciences, and life sciences. Intuition before Formality Calculus & Its Applications builds intuition with key concepts of calculus before the analytical material. For example, the authors explain the derivative geometrically before they present limits, and they introduce the definite integral intuitively via the notion of net change before they discuss Riemann sums. The strategic organization of topics makes it easy to adjust the level of theoretical material covered. The significant applications introduced early in the course serve to motivate students and make the mathematics more accessible. Another unique aspect of the text is its intuitive use of differential equations to model a variety of phenomena in Chapter 5, which addresses applications of exponential and logarithmic functions. Time-tested, comprehensive exercise sets are flexible enough to align with each instructor's needs, and new exercises and resources in MyLab(TM) Math help develop not only skills, but also conceptual understanding, visualization, and applications. The 14th Edition features updated exercises, applications, and technology coverage, presenting calculus in an intuitive yet intellectually satisfying way. Also available with MyLab Math MyLab(TM) Math is an online homework, tutorial, and assessment program designed to work with this text to engage students and improve results. Within its structured environment, students practice what they learn, test their understanding, and pursue a personalized study plan that helps them absorb course material and understand difficult concepts. In the new edition, MyLab Math has expanded to include a suite of new videos, Interactive Figures, exercises that require step-by-step solutions, conceptual questions, calculator support, and more. Note: You are purchasing a standalone product; MyLab does not come packaged with this content. Students, if interested in purchasing this title with MyLab, ask your instructor for the correct package ISBN and Course ID. Instructors, contact your Pearson representative for more information. If you would like to purchase both the physical text and MyLab, search for: 0134467078 / 9780134467078 Calculus & Its Applications plus MyLab Math with Pearson eText -- Access Card Package, 14/e Package consists of: *0134437772 / 9780134437774 Calculus & Its Applications*0321431308 / 9780321431301 MyLab Math -- Glue-in Access Card*0321654064 / 9780321654069 MyLab Math Inside Star Sticker.
(source: Nielsen Book Data)9780134437774 20170717
Science Library (Li and Ma)
Book
1 volume (various pagings) : color illustrations ; 29 cm
  • P. PREPARATION FOR CALCULUS. Graphs and Models. Linear Models and Rates of Change. Functions and Their Graphs. Review of Trigonometric Functions. Review Exercises. P.S. Problem Solving. 1. LIMITS AND THEIR PROPERTIES. A Preview of Calculus. Finding Limits Graphically and Numerically. Evaluating Limits Analytically. Continuity and One-Sided Limits. Infinite Limits. Section Project: Graphs and Limits of Trigonometric Functions. Review Exercises. P.S. Problem Solving. 2. DIFFERENTIATION. The Derivative and the Tangent Line Problem. Basic Differentiation Rules and Rates of Change. Product and Quotient Rules and Higher-Order Derivatives. The Chain Rule. Implicit Differentiation. Section Project: Optical Illusions. Related Rates. Review Exercises. P.S. Problem Solving. 3. APPLICATIONS OF DIFFERENTIATION. Extrema on an Interval. Rolle"s Theorem and the Mean Value Theorem. Increasing and Decreasing Functions and the First Derivative Test. Section Project: Even Fourth-Degree Polynomials. Concavity and the Second Derivative Test. Limits at Infinity. A Summary of Curve Sketching. Optimization Problems. Section Project: Minimum Time. Newton"s Method. Differentials. Review Exercises. P.S. Problem Solving. 4. INTEGRATION. Antiderivatives and Indefinite Integration. Area. Riemann Sums and Definite Integrals. The Fundamental Theorem of Calculus. Section Project: Demonstrating the Fundamental Theorem. Integration by Substitution. Review Exercises. P.S. Problem Solving. 5. LOGARITHMIC, EXPONENTIAL, AND OTHER TRANSCENDENTAL FUNCTIONS. The Natural Logarithmic Function: Differentiation. The Natural Logarithmic Function: Integration. Inverse Functions. Exponential Functions: Differentiation and Integration. Bases Other than e and Applications. Section Project: Using Graphing Utilities to Estimate Slope. Indeterminate Forms and L'Hopital's Rule. Inverse Trigonometric Functions: Differentiation. Inverse Trigonometric Functions: Integration. Hyperbolic Functions. Section Project: Mercator Map. Review Exercises. P.S. Problem Solving. 6. DIFFERENTIAL EQUATIONS. Slope Fields and Euler"s Method. Growth and Decay. Separation of Variables and the Logistic Equation. First-Order Linear Differential Equations. Section Project: Weight Loss. Review Exercises. P.S. Problem Solving. 7. APPLICATIONS OF INTEGRATION. Area of a Region Between Two Curves. Volume: The Disk Method. Volume: The Shell Method. Section Project: Saturn. Arc Length and Surfaces of Revolution. Work. Section Project: Pyramid of Khufu. Moments, Centers of Mass, and Centroids. Fluid Pressure and Fluid Force. Review Exercises. P.S. Problem Solving. 8. INTEGRATION TECHNIQUES AND IMPROPER INTEGRALS. Basic Integration Rules. Integration by Parts. Trigonometric Integrals. Section Project: The Wallis Product. Trigonometric Substitution. Partial Fractions. Numerical Integration. Integration by Tables and Other Integration Techniques. Improper Integrals. Review Exercises. P.S. Problem Solving. 9. INFINITE SERIES. Sequences. Series and Convergence. Section Project: Cantor"s Disappearing Table. The Integral Test and p-Series. Section Project: The Harmonic Series. Comparisons of Series. Alternating Series. The Ratio and Root Tests. Taylor Polynomials and Approximations. Power Series. Representation of Functions by Power Series. Taylor and Maclaurin Series. Review Exercises. P.S. Problem Solving. 10. CONICS, PARAMETRIC EQUATIONS, AND POLAR COORDINATES. Conics and Calculus. Plane Curves and Parametric Equations. Section Project: Cycloids. Parametric Equations and Calculus. Polar Coordinates and Polar Graphs. Section Project: Cassini Oval. Area and Arc Length in Polar Coordinates. Polar Equations of Conics and Kepler"s Laws. Review Exercises. P.S. Problem Solving. 11. VECTORS AND THE GEOMETRY OF SPACE. Vectors in the Plane. Space Coordinates and Vectors in Space. The Dot Product of Two Vectors. The Cross Product of Two Vectors in Space. Lines and Planes in Space. Section Project: Distances in Space. Surfaces in Space. Cylindrical and Spherical Coordinates. Review Exercises. P.S. Problem Solving. 12. VECTOR-VALUED FUNCTIONS. Vector-Valued Functions. Section Project: Witch of Agnesi. Differentiation and Integration of Vector-Valued Functions. Velocity and Acceleration. Tangent Vectors and Normal Vectors. Arc Length and Curvature. Review Exercises. P.S. Problem Solving. 13. FUNCTIONS OF SEVERAL VARIABLES. Introduction to Functions of Several Variables. Limits and Continuity. Partial Derivatives. Differentials. Chain Rules for Functions of Several Variables. Directional Derivatives and Gradients. Tangent Planes and Normal Lines. Section Project: Wildflowers. Extrema of Functions of Two Variables. Applications of Extrema of Functions of Two Variables. Section Project: Building a Pipeline. Lagrange Multipliers. Review Exercises. P.S. Problem Solving. 14. MULTIPLE INTEGRATION. Iterated Integrals and Area in the Plane. Double Integrals and Volume. Change of Variables: Polar Coordinates. Center of Mass and Moments of Inertia. Section Project: Center of Pressure on a Sail. Surface Area. Section Project: Surface Area in Polar Coordinates. Triple Integrals and Applications. Triple Integrals in Cylindrical and Spherical Coordinates. Section Project: Wrinkled and Bumpy Spheres. Change of Variables: Jacobians. Review Exercises. P.S. Problem Solving. 15. VECTOR ANALYSIS. Vector Fields. Line Integrals. Conservative Vector Fields and Independence of Path. Green"s Theorem. Section Project: Hyperbolic and Trigonometric Functions. Parametric Surfaces. Surface Integrals. Section Project: Hyperboloid of One Sheet. Divergence Theorem. Stokes" Theorem. Review Exercises. Section Project: The Planimeter. P.S. Problem Solving. 16. SECOND ORDER DIFFERENTIAL EQUATIONS* ONLINE. Exact First-Order Equations. Second-Order Homogeneous Linear Equations. Second-Order Nonhomogeneous Linear Equations. Section Project: Parachute Jump. Series Solutions of Differential Equations. Review Exercises. P.S. Problem Solving. APPENDIX. A. Proofs of Selected Theorems. B. Integration Tables. C. Precalculus Review (Web). C.1. Real Numbers and the Real Number Line. C.2. The Cartesian Plane. D. Rotation and the General Second-Degree Equation (Web). E. Complex Numbers (Web). F. Business and Economic Applications (Web). G. Fitting Models to Data (Web).
  • (source: Nielsen Book Data)9781337275347 20170403
With a long history of innovation in the market, Larson/Edwards' CALCULUS has been widely praised by a generation of students and professors for solid and effective pedagogy that addresses the needs of a broad range of teaching and learning styles and environments. Each title in the series is one component in a comprehensive calculus course program that carefully integrates and coordinates print, media, and technology products for successful teaching and learning. This new edition is now supported by WebAssign, the powerful online homework and course management system that engages students in learning math.
(source: Nielsen Book Data)9781337275347 20170403
Science Library (Li and Ma)
Book
1 online resource (pages ; cm.) :.
  • I Introductory Part Basic concepts of capture-recapture - Dankmar Bohning, John Bunge, and Peter G.M. van der Heijden II Ratio Regression Models Ratio regression and capture-recapture - Marco Alfo, Dankmar Bohning and Irene Rocchetti The Conway-Maxwell-Poisson distribution and capture-recapture count data - Antonello Maruotti and Orasa Anan The geometric distribution, the ratio plot under the null and the burden of Dengue Fever in Chiang Mai province - Dankmar Bohning and Veerasak Punyapornwithaya A ratio regression approach to estimate the size of the Salmonella infected flock population using validation information - Carla Azevedo, Dankmar Bohning and Mark Arnold III Meta-Analysis in Capture-Recapture On meta-analysis in capture-recapture - John Bunge A case study on maritime accidents using meta-analysis in capture-recapture - Dankmar Bohning and John Bunge A meta-analytic generalization of the Lincoln-Petersen-estimator for mark-and-resight studies - Dankmar Bohning, Mehmet Orman, Timur Kose, and John Bunge IV Extensions of Single Source Models Estimating the population size via the empirical probability generating function - John Bunge and Sarah Sernaker Convex estimation - Cecile Durot, Jade Giguelay, Sylvie Huet, Francois Koladjo, and Stephane Robin Non-parametric estimation of the population size using the empirical probability generating function - Pedro Puig Extending the truncated Poisson regression model to a time-at-risk model - Maarten J.L.F. Cruyff, Thomas F. Husken, and Peter G.M. van der Heijden Extensions of the Chao-estimator for covariate information: Poisson case - Alberto Vidal-Diez and Dankmar Bohning Population size estimation for one-inflated count data based upon the geometric distribution - Panicha Kaskasamkul and Dankmar Bohning V Multiple Sources Dual and multiple system estimation: fully observed and incomplete covariates - Peter G.M. van der Heijden, Maarten Cruyff, Joe Whittaker, Bart F.M. Bakker and Paul A. Smith Population size estimation in CRC Models with continuous covariates - Eugene Zwane Trimmed dual system estimation - Li-Chun Zhang and John Dunne Estimation of non-registered usual residents in the Netherlands - Bart F. M. Bakker, Peter G. M. van der Heijden, and Susanna C. Gerritse VI Latent Variable Models Population size estimation using a categorical latent variable - Elena Stanghellini and Maria Giovanna Ranalli Latent class - Rasch models and marginal extensions - Francesco Bartolucci and Antonio Forcina Performance of hierarchical log-linear models for a heterogeneous population with three lists - Zhiyuan Ma, Chang Xuan Mao, and Yitong Yang A multidimensional Rasch model for multiple system estimation where the number of lists changes over time - Elvira Pelle, David J. Hessen, and Peter G. M. van der Heijden Extending the Lincoln-Petersen estimator when both sources are counts - Rattana Lerdsuwansri and Dankmar Bohning VII Bayesian Approaches Objective Bayes estimation of the population size using Kemp distributions - Kathryn Barger and John Bunge Bayesian population size estimation with censored counts - Danilo Alunni Fegatelli, Alessio Farcomeni, and Luca Tardella VIII Miscellaneous Topics Uncertainty assessment in capture-recapture studies and the choice of sampling effort - Dankmar Bohning, John Bunge, and Peter G.M. van der Heijden.
  • (source: Nielsen Book Data)9781498745345 20170911
Capture-recapture methods have been used in biology and ecology for more than 100 years. However, it is only recently that these methods have become popular in the social and medical sciences to estimate the size of elusive populations such as illegal immigrants, illicit drug users, or people with a drinking problem. Capture-Recapture Methods for the Social and Medical Sciences brings together important developments which allow the application of these methods. It has contributions from more than 40 researchers, and is divided into eight parts, including topics such as ratio regression models, capture-recapture meta-analysis, extensions of single and multiple source models, latent variable models and Bayesian approaches. The book is suitable for everyone who is interested in applying capture-recapture methods in the social and medical sciences. Furthermore, it is also of interest to those working with capture-recapture methods in biology and ecology, as there are some important developments covered in the book that also apply to these classical application areas.
(source: Nielsen Book Data)9781498745345 20170911
ProQuest Ebook Central Access limited to 3 simultaneous users
Book
1 online resource (1 volume) : illustrations.

20. College algebra [2018]

Book
1 volume (various pagings) : illustrations (some color) ; 29 cm
Science Library (Li and Ma)