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1. Matlab® programming for engineers [2020]
 Chapman, Stephen J., author.
 Sixth edition.  Boston, MA : Cengage, [2020]
 Description
 Book — xxviii, 828 pages, 8 pages of color plates : illustrations (some color) ; 24 cm
 Online
Engineering Library (Terman)
Engineering Library (Terman)  Status 

Stacks  
QA297 .C418 2020  Unavailable On order Request 
2. Algorithms for optimization [2019]
 Kochenderfer, Mykel J., 1980 author.
 Cambridge, MA : The MIT Press, [2019]
 Description
 Book — xx, 500 pages : illustrations (some color) ; 24 cm
 Summary

A comprehensive introduction to optimization with a focus on practical algorithms for the design of engineering systems. This book offers a comprehensive introduction to optimization with a focus on practical algorithms. The book approaches optimization from an engineering perspective, where the objective is to design a system that optimizes a set of metrics subject to constraints. Readers will learn about computational approaches for a range of challenges, including searching highdimensional spaces, handling problems where there are multiple competing objectives, and accommodating uncertainty in the metrics. Figures, examples, and exercises convey the intuition behind the mathematical approaches. The text provides concrete implementations in the Julia programming language. Topics covered include derivatives and their generalization to multiple dimensions; local descent and first and secondorder methods that inform local descent; stochastic methods, which introduce randomness into the optimization process; linear constrained optimization, when both the objective function and the constraints are linear; surrogate models, probabilistic surrogate models, and using probabilistic surrogate models to guide optimization; optimization under uncertainty; uncertainty propagation; expression optimization; and multidisciplinary design optimization. Appendixes offer an introduction to the Julia language, test functions for evaluating algorithm performance, and mathematical concepts used in the derivation and analysis of the optimization methods discussed in the text. The book can be used by advanced undergraduates and graduate students in mathematics, statistics, computer science, any engineering field, (including electrical engineering and aerospace engineering), and operations research, and as a reference for professionals.
(source: Nielsen Book Data) 9780262039420 20190318
 Online
Engineering Library (Terman)
Engineering Library (Terman)  Status 

On reserve: Ask at circulation desk  
QA9.58 .K65425 2019  Unknown 2hour loan 
QA9.58 .K65425 2019  Unknown 2hour loan 
QA9.58 .K65425 2019  Unknown 2hour loan 
AA22201, CS36101
 Course
 AA22201  Engineering Design Optimization
 Instructor(s)
 Kochenderfer, Mykel John
 Course
 CS36101  Engineering Design Optimization
 Instructor(s)
 Kochenderfer, Mykel John
 Johnson, Richard A. (Richard Arnold), 1937 author.
 Sixth edition.  [New York, NY] : Pearson Education, Inc., [2019]
 Description
 Book — xviii, 773 pages ; 24 cm.
 Summary

For courses in Multivariate Statistics, Marketing Research, Intermediate Business Statistics, Statistics in Education, and graduatelevel courses in Experimental Design and Statistics. Appropriate for experimental scientists in a variety of disciplines, this marketleading text offers a readable introduction to the statistical analysis of multivariate observations. Its primary goal is to impart the knowledge necessary to make proper interpretations and select appropriate techniques for analyzing multivariate data. Ideal for a junior/senior or graduate level course that explores the statistical methods for describing and analyzing multivariate data, the text assumes two or more statistics courses as a prerequisite.
(source: Nielsen Book Data) 9780134995397 20180813
 Online
Science Library (Li and Ma)
Science Library (Li and Ma)  Status 

Stacks  
QA278 .J63 2019  Unknown 
4. British journal for the history of mathematics [2019  ]
 Abingdon, Oxfordshire : Taylor & Francis Group Ltd, 2019
 Description
 Journal/Periodical
 Hanlon, Bill, 1950 author.
 Lanham, Maryland : Rowman & Littlefield, [2019]
 Description
 Book — xiii, 149 pages : illustrations ; 23 cm
 Summary

 Preface Introduction Ch.
 1 Math Unlike Other Subjects Ch.
 2 Belief Systems & Student Achievement Ch.3 Protocols & Expectations Ch.
 4 Preparation Affects Everything Ch.
 5 Instruction Really Matters Ch.
 6 Writing it Down Ch.
 7 Making Homework Worthwhile Ch.
 8 Test Prep, Light at the End of the Tunnel Ch.
 9 The Test, Where the Rubber Hits the Road Ch.
 10 Cultivating Parent & Community Support Ch.
 11 Teacher Evaluations Ch.
 12 Summing it Up.
 (source: Nielsen Book Data)
(source: Nielsen Book Data) 9781475846058 20190114
 Online
Education Library (Cubberley)
Education Library (Cubberley)  Status 

Stacks  
QA11.2 .H375 2019  Unknown 
6. Calculus : concepts and contexts [2019]
 Stewart, James, 1941 author.
 4e. Enhanced edition.  Boston, MA, USA : Cengage, [2019]
 Description
 Book — 1 volume (various pagings) ; 27 cm
 Summary

 Preface. To the Student. Diagnostic Tests. A Preview of Calculus.
 1. FUNCTIONS AND MODELS. Four Ways to Represent a Function. Mathematical Models: A Catalog of Essential Functions. New Functions from Old Functions. Graphing Calculators and Computers. Exponential Functions. Inverse Functions and Logarithms. Parametric Curves. Laboratory Project: Running Circles around Circles. Review. Principles of Problem Solving.
 2. LIMITS AND DERIVATIVES. The Tangent and Velocity Problems. The Limit of a Function. Calculating Limits Using the Limit Laws. Continuity. Limits Involving Infinity. Derivatives and Rates of Change. Writing Project: Early Methods for Finding Tangents. The Derivative as a Function. What Does f? ? Say about f ? Review. Focus on Problem Solving.
 3. DIFFERENTIATION RULES. Derivatives of Polynomials and Exponential Functions. Applied Project: Building a Better Roller Coaster. The Product and Quotient Rules. Derivatives of Trigonometric Functions. The Chain Rule. Laboratory Project: Bezier Curves. Applied Project: Where Should a Pilot Start Descent? Implicit Differentiation. Inverse Trigonometric Functions and their Derivatives. Derivatives of Logarithmic Functions. Discovery Project: Hyperbolic Functions. Rates of Change in the Natural and Social Sciences. Linear Approximations and Differentials. Laboratory Project: Taylor Polynomials. Review. Focus on Problem Solving.
 4. APPLICATIONS OF DIFFERENTIATION. Related Rates. Maximum and Minimum Values. Applied Project: The Calculus of Rainbows. Derivatives and the Shapes of Curves. Graphing with Calculus and Calculators. Indeterminate Forms and l''Hospital''s Rule. Writing Project: The Origins of l''Hospital''s Rule. Optimization Problems. Applied Project: The Shape of a Can. Newton''s Method. Antiderivatives. Review. Focus on Problem Solving.
 5. INTEGRALS. Areas and Distances. The Definite Integral. Evaluating Definite Integrals. Discovery Project: Area Functions. The Fundamental Theorem of Calculus. Writing Project: Newton, Leibniz, and the Invention of Calculus. The Substitution Rule. Integration by Parts. Additional Techniques of Integration. Integration Using Tables and Computer Algebra Systems. Discovery Project: Patterns in Integrals. Approximate Integration. Improper Integrals. Review. Focus on Problem Solving.
 6. APPLICATIONS OF INTEGRATION. More about Areas. Volumes. Discovery Project: Rotating on a Slant. Volumes by Cylindrical Shells. Arc Length. Discovery Project: Arc Length Contest. Average Value of a Function. Applied Project: Where to Sit at the Movies. Applications to Physics and Engineering. Discovery Project: Complementary Coffee Cups. Applications to Economics and Biology. Probability. Review. Focus on Problem Solving.
 7. DIFFERENTIAL EQUATIONS. Modeling with Differential Equations. Direction Fields and Euler''s Method. Separable Equations. Applied Project: How Fast Does a Tank Drain? Applied Project: Which Is Faster, Going Up or Coming Down? Exponential Growth and Decay. Applied Project: Calculus and Baseball. The Logistic Equation. PredatorPrey Systems. Review. Focus on Problem Solving.
 8. INFINTE SEQUENCES AND SERIES. Sequences. Laboratory Project: Logistic Sequences. Series. The Integral and Comparison Tests Estimating Sums. Other Convergence Tests. Power Series. Representations of Functions as Power Series. Taylor and Maclaurin Series. Laboratory Project: An Elusive Limit. Writing Project: How Newton Discovered the Binomial Series. Applications of Taylor Polynomials. Applied Project: Radiation from the Stars. Review. Focus on Problem Solving.
 9. VECTORS AND THE GEOMETRY OF SPACE. ThreeDimensional Coordinate Systems. Vectors. The Dot Product. The Cross Product. Discovery Project: The Geometry of a Tetrahedron. Equations of Lines and Planes. Laboratory Project: Putting 3D in Perspective. Functions and Surfaces. Cylindrical and Spherical Coordinates. Laboratory Project: Families of Surfaces. Review. Focus on Problem Solving.
 10. VECTOR FUNCTIONS. Vector Functions and Space Curves. Derivatives and Integrals of Vector Functions. Arc Length and Curvature. Motion in Space: Velocity and Acceleration. Applied Project: Kepler''s Laws. Parametric Surfaces. Review. Focus on Problem Solving.
 11. PARTIAL DERIVATIVES. Functions of Several Variables. Limits and Continuity. Partial Derivatives. Tangent Planes and Linear Approximations. The Chain Rule. Directional Derivatives and the Gradient Vector. Maximum and Minimum Values. Applied Project: Designing a Dumpster. Discovery Project: Quadratic Approximations and Critical Points. Lagrange Multipliers. Applied Project: Rocket Science. Applied Project: HydroTurbine Optimization. Review. Focus on Problem Solving.
 12. MULTIPLE INTEGRALS. Double Integrals over Rectangles. Iterated Integrals. Double Integrals over General Regions. Double Integrals in Polar Coordinates. Applications of Double Integrals. Surface Area. Triple Integrals. Discovery Project: Volumes of Hyperspheres. Triple Integrals in Cylindrical and Spherical Coordinates. Applied Project: Roller Derby. Discovery Project: The Intersection of Three Cylinders. Change of Variables in Multiple Integrals. Review. Focus on Problem Solving.
 13. VECTOR CALCULUS. Vector Fields. Line Integrals. The Fundamental Theorem for Line Integrals. Green''s Theorem. Curl and Divergence. Surface Integrals. Stokes'' Theorem. Writing Project: Three Men and Two Theorems. The Divergence Theorem. Summary. Review. Focus on Problem Solving. APPENDIXES. A. Intervals, Inequalities, and Absolute Values. B. Coordinate Geometry. C. Trigonometry. D. Precise Definitions of Limits. E. A Few Proofs. F. Sigma Notation. G. Integration of Rational Functions by Partial Fractions. H. Polar Coordinates. I. Complex Numbers. J. Answers to OddNumbered Exercises.
 (source: Nielsen Book Data)
(source: Nielsen Book Data) 9781337687669 20180416
 Online
Science Library (Li and Ma)
Science Library (Li and Ma)  Status 

Stacks  
QA303.2 .S88253 2019  Unknown 
 Larson, Ron, 1941 author.
 7e / Ron Larson, Bruce Edwards.  Boston, MA : Cengage Learning, [2019]
 Description
 Book — xiii, 1128, A155 pages ; 29 cm
 Summary

Designed for the threesemester engineering calculus course, CALCULUS: EARLY TRANSCENDENTAL FUNCTIONS, 7th Edition, continues to offer instructors and students innovative teaching and learning resources. The Larson team always has two main objectives for text revisions: to develop precise, readable materials for students that clearly define and demonstrate concepts and rules of calculus; and to design comprehensive teaching resources for instructors that employ proven pedagogical techniques and save time. The Larson/Edwards Calculus program offers a solution to address the needs of any calculus course and any level of calculus student. Every edition from the first to the seventh of CALCULUS: EARLY TRANSCENDENTAL FUNCTIONS has made the mastery of traditional calculus skills a priority, while embracing the best features of new technology and, when appropriate, calculus reform ideas.
(source: Nielsen Book Data) 9781337552516 20180416
 Online
Science Library (Li and Ma)
Science Library (Li and Ma)  Status 

Stacks  
QA303.2 .L368 2019  Unknown 
 Cambridge, MA : Academic Press, an imprint of Elsevier, [2019]
 Description
 Book — xxii, 355 pages : illustrations ; 23 cm.
 Summary

 1. Introduction: Cognitive Foundations of Mathematics Interventions and Early Numeracy Influences David C. Geary, Daniel B. Berch, and Kathleen Mann Koepke
 2. The Effects of SES, GradeRepeating, and IQ in a GameBased Approximate Math Intervention Josh Langfus, Alejandro Maiche, Dinorah De Leon, Dahiana Fitipalde, Alvaro Mailhos, and Justin Halberda
 3. Role of Play and Games in Building Children's Foundational Numerical Knowledge Geetha B. Ramani, Emily N. Daubert, and Nicole R. Scalise
 4. Understanding the Link between the Approximate Number System and Math Abilities Melissa E. Libertus
 5. Mathematical Development in Early Home Environment Susan C. Levine, Dominic J. Gibson, and Talia Berkowitz
 6. From Cognition to Curriculum to Scale Julie Sarama and Douglas H. Clement
 7. Development of Mathematical Language in Preschool and its Role in Learning Numeracy Skills David J. purpura, Amy R. Napoli, and Yemimah King
 8. Early Numeracy Skills Learning and Learning DifficultiesEvidencebased Assessment and Interventions Pirjo Aunio
 9. Improving the Mathematical Knowledge of AtRisk Preschool Children: Two Approaches to Intensifying Early Math Intervention Alice Klein, Prentice Starkey, and Lydia DeFlorio
 10. The Use of Analogies in Mathematics Instruction: Affordances and Challenges Xenia Vamvakoussi
 11. The Role of Visual Representations in Mathematical Word Problems Asha K. Jitendra and John Woodward
 12. The Role of Cognitive Processes in Treating Mathematics Learning Difficulties Lynn S. Fuchs, Douglas Fuchs, Amelia S. Malone, Pamela M. Seethaler, and Caitlin Craddock
 13. Explanations and Implications of Diminishing Intervention Impacts Across Time Drew Bailey.
 (source: Nielsen Book Data)
(source: Nielsen Book Data) 9780128159521 20190304
 Online
Education Library (Cubberley)
Education Library (Cubberley)  Status 

Stacks  
QA135.6 .C638 2019  Unknown 
 Hennessy, John L., author.
 Sixth edition.  Cambridge, MA : Morgan Kaufmann Publishers, an imprint of Elsevier, [2019]
 Description
 Book — 1 volume (various pagings) : illustrations ; 24 cm
 Summary

 Printed Text
 1. Fundamentals of Quantitative Design and Analysis
 2. Memory Hierarchy Design
 3. InstructionLevel Parallelism and Its Exploitation
 4. DataLevel Parallelism in Vector, SIMD, and GPU Architectures
 5. Multiprocessors and ThreadLevel Parallelism
 6. The WarehouseScale Computer
 7. Domain Specific Architectures A. Instruction Set Principles B. Review of Memory Hierarchy C. Pipelining: Basic and Intermediate Concepts Online D. Storage Systems E. Embedded Systems F. Interconnection Networks G. Vector Processors H. Hardware and Software for VLIW and EPIC I. LargeScale Multiprocessors and Scientific Applications J. Computer Arithmetic K. Survey of Instruction Set Architectures L. Advanced Concepts on Address Translation M. Historical Perspectives and References.
 (source: Nielsen Book Data)
(source: Nielsen Book Data) 9780128119051 20180312
 Online
Engineering Library (Terman)
Engineering Library (Terman)  Status 

Stacks  
QA76.9 .A73 P377 2019  Unknown 
10. Coupled phaselocked loops : stability, synchronization, chaos and communication with chaos [2019]
 Matrosov, Valery V., 1960 author.
 Singapore ; Hackensack, NJ : World Scientific Publishing Co. Pte. Ltd., [2019]
 Description
 Book — x, 244 pages ; 24 cm.
 Summary

 Introduction: dynamical chaos and information communication
 Nonlinear dynamics of the phase system
 Cascade coupling of two phase systems
 Three cascadecoupled phase system dynamics
 Phase systems parallel coupling
 Synchronization of chaotic oscillations
 Communication with chaos.
(source: Nielsen Book Data) 9789813271944 20181029
Science Library (Li and Ma)
Science Library (Li and Ma)  Status 

Stacks  
QA612.76 .M38 2019  Unknown 
11. CR embedded submanifolds of CR manifolds [2019]
 Curry, Sean N., 1990 author.
 Providence, RI : American Mathematical Society, [2019]
 Description
 Book — v, 81 pages ; 25 cm.
 Online
Science Library (Li and Ma)
Science Library (Li and Ma)  Status 

Serials  
Shelved by Series title NO.1241  Unavailable In process Request 
12. Crossed products of operator algebras [2019]
 Katsoulis, Elias G., 1963 author.
 Providence, RI : American Mathematical Society, [2019]
 Description
 Book — vii, 85 pages ; 25 cm.
 Online
Science Library (Li and Ma)
Science Library (Li and Ma)  Status 

Serials  
Shelved by Series title NO.1240  Unavailable In process Request 
 Newton, Nicki, author.
 New York : Routledge, Taylor & Francis Group, 2019.
 Description
 Book — x, 227 pages : illustrations ; 27 cm
 Summary

 Contents
 Meet the Author
 Acknowledgements
 Introduction
 Chapter 1: An Introduction to Daily Math Routines in Action
 Chapter 2: A Deeper Dive into Daily Math Thinking Routines
 Chapter 3: Creating the Community of Public Thinking Mathematicians
 Chapter 4: The Art and Science of Questioning During Daily Mathematical Thinking Routines
 Chapter 5: Rotating Rigorous Thinking Routines
 Chapter 6: Number Flexes: Daily Routines
 Chapter 7: Math Vocabulary
 Chapter 8: Problem Solving as a Daily Routine
 Chapter 9: Action Planning.
 (source: Nielsen Book Data)
(source: Nielsen Book Data) 9780815349631 20181119
 Online
Education Library (Cubberley)
Education Library (Cubberley)  Status 

Stacks  
QA135.6 .N4845 2019  Unknown 
 SanGiovanni, John, author.
 Thousand Oaks, California : Corwin, a SAGE Company, [2019]
 Description
 Book — 145 pages : illustrations (some color) ; 28 cm
 Summary

 Part I: Why JumpStart Routines? The First Few Minutes of Mathematics Class Why the Traditional Warmup Doesn't Work The Problem with Going Over Homework Jumpstart Routines: New Warmups for a New Era Routines for Reasoning in Mathematics Routines for Improving Number Sense and Fluency Building Number Sense and Fluency Over Time with Routines 10,000 Hours of Practice Routines that Satisfy the Need for Quality Practice Routines for Achieving Improved Performance Routines for Rehabilitating Number Pluckers, Pluggers, and Crunchers Routines for Growth Mindset Routines to Honor and Leverage Errors Routines to Actively Develop Confidence Implementing JumpStart Routines Routines that are Ready for Use Flexible Use Timing of Routines: How Long? When? Which Routines to Use? Plan for the Routine Select the Routine Routines Set the Stage for Meaningful Discourse Practical Advice for Routines Modify, Modify, Modify Identifying or Creating the Content or Topics Using Routines Formatively Be Committed and Creative Part II: The Routines Picture It Where's the Point? Is This the End? That's a Fact Math Yapper Broken Numbers It's About The Best Tool Relating Three Two Columns Numbered Star Switcharoo Express It Relating Without Calculating More or Less Somewhere in Between Patterns and Generalizations If I know This What It Takes to Make Two Truths and a Lie Part III: Where to Go Next Make a Plan Identify Content for Routines Identify Routines Determine the Rotation Give It Time Set Goals Adjust to Their Adjustments Further Modifying Routines Design Your Own Routines Work Collaboratively and Share the Load Jumpstart Mathematics Engagement, Number Sense, and Reasoning.
 (source: Nielsen Book Data)
(source: Nielsen Book Data) 9781544316888 20181105
 Online
Education Library (Cubberley)
Education Library (Cubberley)  Status 

Stacks  
QA135.6 .S2575 2019  Unknown 
 Milou, Eric, author.
 Thousand Oaks, California : Corwin, a SAGE Company, [2019]
 Description
 Book — 98 pages : illustrations ; 28 cm
 Summary

 Part 1: Why JumpStart Routines? The First Few Minutes of Mathematics Class Why the Traditional Warmup Doesn't Work The Problem with Going Over Homework Jumpstart Routines: New Warmups for a New Era Routines for Reasoning in Mathematics Routines for Improving Number Sense and Reasoning 10,000 Hours of Practice Routines that Satisfy the Need for Quality Practice Routines for Achieving Improved Performance Routines for Rehabilitating Number Pluckers, Pluggers, and Crunchers Routines for Growth Mindset Routines to Honor and Leverage Errors Routines to Actively Develop Confidence Implementing JumpStart Routines Routines that are Ready for Use Flexible Use Timing of Routines: How Long? When? Which Routines to Use? Plan for the Routine Select the Routine Use Routines to Set the Stage for Meaningful Discourse Practical Advice for Routines Modify, Modify, Modify Identify or Create the Content or Topics Use Routines Formatively Be Committed and Creative
 Part 2: JumpStart Routines Routine #1: Missing Numbers Algebra Number and Quantity Geometry Routine #2: Order Me On the Number Line Algebra Functions Geometry Data Analysis Routine #3: More or Less Algebra Geometry Data Analysis Routine #4: Two Wrongs and a Right Algebra Geometry Routine #5: A or B Algebra Geometry
 Part 3: Where to Go Next Make a Plan Identify Content for Routines Identify Routines Determine the Rotation Give It Time Set Goals Adjust to Their Adjustments Further Modifying Routines Design Your Own Routines Work Collaboratively and Share the Load Jumpstart Mathematics Engagement, Number Sense, and Reasoning.
 (source: Nielsen Book Data)
(source: Nielsen Book Data) 9781544316932 20180917
 Online
Education Library (Cubberley)
Education Library (Cubberley)  Status 

Stacks  
QA11.2 .M556 2019  Unknown 
 Healy, Kieran Joseph, 1973 author.
 Princeton ; Oxford : Princeton University Press, [2019]
 Description
 Book — xviii, 272 pages : illustrations (some color) ; 26 cm
 Summary

 Preface
 Look at data
 Get started
 Make a plot
 Show the right numbers
 Graph tables, add labels, make notes
 Work with models
 Draw maps
 Refine your plots.
(source: Nielsen Book Data) 9780691181615 20190218
 Online
 Helton, J. William, 1944 author.
 Providence, RI : AMS, American Mathematical Society, [2019]
 Description
 Book — v, 106 pages ; 26 cm.
 Summary

 Introduction Dilations and Free Spectrahedral Inclusions Lifting and Averaging A Simplified Form for $\vartheta $ $\vartheta$ is the Optimal Bound The Optimality Condition $\alpha =\beta $ in Terms of Beta Functions Rank versus Size for the Matrix Cube Free Spectrahedral Inclusion Generalities Reformulation of the Optimization Problem Simmons' Theorem for Half Integers Bounds on the Median and the Equipoint of the Beta Distribution Proof of Theorem 2.1 Estimating $\vartheta (d)$ for Odd $d$. Dilations and Inclusions of Balls Probabilistic Theorems and Interpretations continued Bibliography Index.
 (source: Nielsen Book Data)
(source: Nielsen Book Data) 9781470434557 20190318
 Online
Science Library (Li and Ma)
Science Library (Li and Ma)  Status 

Serials  
Shelved by Series title NO.1232  Unavailable In process Request 
 Osterlind, Steven J., author.
 First edition.  Oxford, United Kingdom : Oxford University Press, 2019.
 Description
 Book — 339 pages : illustrations (some color) ; 25 cm
 Summary

Quantitative thinking is our inclination to view natural and everyday phenomena through a lens of measurable events, with forecasts, odds, predictions, and likelihood playing a dominant part. The Error of Truth recounts the astonishing and unexpected tale of how quantitative thinking came to be, and its rise to primacy in the nineteenth and early twentieth centuries. Additionally, it considers how seeing the world through a quantitative lens has shaped our perception of the world we live in, and explores the lives of the individuals behind its early establishment. This worldview was unlike anything humankind had before, and it came about because of a momentous human achievement: we had learned how to measure uncertainty. Probability as a science was conceptualised. As a result of probability theory, we now had correlations, reliable predictions, regressions, the bellshaped curve for studying social phenomena, and the psychometrics of educational testing. Significantly, these developments happened during a relatively short period in world history roughly, the 130year period from 1790 to 1920, from about the close of the Napoleonic era, through the Enlightenment and the Industrial Revolutions, to the end of World War I. At which time, transportation had advanced rapidly, due to the invention of the steam engine, and literacy rates had increased exponentially. This brief period in time was ready for fresh intellectual activity, and it gave a kind of impetus for the probability inventions. Quantification is now everywhere in our daily lives, such as in the ubiquitous microchip in smartphones, cars, and appliances; in the Bayesian logic of artificial intelligence, as well as applications in business, engineering, medicine, economics, and elsewhere. Probability is the foundation of quantitative thinking. The Error of Truth tells its story when, why, and how it happened.
(source: Nielsen Book Data) 9780198831600 20190408
 Online
Green Library
Green Library  Status 

Find it Lane Reading Room: New books  
QA273 .A4 O78 2019  Unknown 
 Lewis, Harry R., author.
 Princeton, New Jersey : Princeton University Press, [2019]
 Description
 Book — xii, 388 pages ; 27 cm
 Summary

A more intuitive approach to the mathematical foundation of computer science Discrete mathematics is the basis of much of computer science, from algorithms and automata theory to combinatorics and graph theory. This textbook covers the discrete mathematics that every computer science student needs to learn. Guiding students quickly through thirtyone short chapters that discuss one major topic each, this flexible book can be tailored to fit the syllabi for a variety of courses. Proven in the classroom, Essential Discrete Mathematics for Computer Science aims to teach mathematical reasoning as well as concepts and skills by stressing the art of proof. It is fully illustrated in color, and each chapter includes a concise summary as well as a set of exercises. The text requires only precalculus, and where calculus is needed, a quick summary of the basic facts is provided. Essential Discrete Mathematics for Computer Science is the ideal introductory textbook for standard undergraduate courses, and is also suitable for high school courses, distance education for adult learners, and selfstudy. The essential introduction to discrete mathematics Features thirtyone short chapters, each suitable for a single class lesson Includes more than 300 exercises Almost every formula and theorem proved in full Breadth of content makes the book adaptable to a variety of courses Each chapter includes a concise summary Solutions manual available to instructors.
(source: Nielsen Book Data) 9780691179292 20190415
 Online
Science Library (Li and Ma)
Science Library (Li and Ma)  Status 

Stacks  
QA76.9 .M35 L49 2019  Unavailable In process Request 
20. Essentials of college algebra [2019]
 Lial, Margaret L., author.
 Twelfth edition.  Boston : Pearson, [2019]
 Description
 Book — 1 volume (various pagings) : illustrations (some color) ; 29 cm
 Online
Science Library (Li and Ma)
Science Library (Li and Ma)  Status 

Stacks  
QA154.3 .L546 2019  Unknown 