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1. Algorithms for optimization [2019]
 Kochenderfer, Mykel J., 1980 author.
 Cambridge, MA : The MIT Press, [2019]
 Description
 Book — xvi, 500 pages ; 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
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Engineering Library (Terman)
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On reserve: Ask at circulation desk  
QA9.58 .K65425 2019  Unknown 3day loan 
QA9.58 .K65425 2019  Unknown 3day loan 
QA9.58 .K65425 2019  Unknown 3day loan 
AA22201, CS36101
 Course
 AA22201  Engineering Design Optimization
 Instructor(s)
 Kochenderfer, Mykel John
 Course
 CS36101  Engineering Design Optimization
 Instructor(s)
 Kochenderfer, Mykel John
 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
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QA76.9 .A73 P377 2019  Unavailable On hold for a borrower Request 
 Roughgarden, Tim, author.
 First edition.  San Francisco, CA : Soundlikeyourself Publishing LLC, [2018]
 Description
 Book — xi, 209 pages : illustrations ; 23 cm
 Online
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QA76.9 .A43 R682 2017 PT.2  Unknown 
 De Filippi, Primavera, author.
 Cambridge, Massachusetts : Harvard University Press, 2018.
 Description
 Book — 300 pages ; 25 cm
 Summary

 Part I. The technology: Blockchains, bitcoin, and decentralized computing platforms
 Characteristics of blockchains
 Part II. Blockchains, finance, and contracts: Digital currencies and decentralized payment systems
 Smart contracts as legal contracts
 Smart securities and derivatives
 Part III. Blockchains and information systems: Tamperresistant, certified, and authenticated data
 Resilient and tamperresistant information systems
 Part IV. Organizations and automation: The future of organizations
 Decentralized autonomous organizations
 Blockchain of things
 Part V. Regulating decentralized, blockchainbased systems: Modes of regulation
 Code as law.
(source: Nielsen Book Data) 9780674976429 20180430
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QA76.9 .D32 D44 2018  Unknown 
5. Control engineering and finance [2018]
 Hacisalihzade, Selim S., author.
 Cham, Switzerland : Springer, [2018]
 Description
 Book — xiii, 303 pages : illustrations (some color) ; 25 cm.
 Summary

 Introduction. Modeling and Identification. Probability and Stochastic Processes. Optimal Control. Stochastic Analysis. Financial Markets and Instruments. Bonds. Portfolio Management. Derivatives and Structured Financial Instruments.
 (source: Nielsen Book Data)
(source: Nielsen Book Data) 9783319644912 20180514
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QA274 .H33 2018  Unknown 
6. Deep learning with R [2018]
 Chollet, François, author.
 Shelter Island, NY : Manning Publications Co., [2018]
 Description
 Book — xxi, 335 pages : illustrations, charts ; 24 cm
 Summary

Description Artificial intelligence has made some incredible leaps. Deep learning systems now deliver nearhuman speech and image recognition, not to mention machines capable of beating world champion Go masters. Deep learning applies to a widening range of problems, such as question answering, machine translation, and optical character recognition. It's behind photo tagging, selfdriving cars, virtual assistants and other previously impossible applications. Deep Learning with R is for developers and data scientists with some R experience who want to use deep learning to solve realworld problems. The book is structured around a series of practical examples that introduce each new concept and demonstrate best practices. You'll begin by learning what deep learning is, how it connects with AI and Machine Learning, and why it's rapidly gaining in importance right now. You'll then dive into practical applications of computer vision, natural language processing, and more. Key features * Understand key machine learning concepts * Set up a computer environment for deep learning * Visualize neural networks * Use recurrent neural networks for text and sequence Classification Audience You'll need intermediate R programming skills. No previous experience with machine learning or deep learning is required. About the technology Although deep learning can be a challenging subject, new technologies make it much easier to get started than ever before. The Keras deep learning library featured in this book puts ease of use and accessibility front and center, making it a great fit for new practitioners.
(source: Nielsen Book Data) 9781617295546 20180514
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QA76.9 .D343 C46 2018  Unknown 
 Berger, Paul D., 1943 author.
 Second edition.  Cham, Switzerland : Springer, [2018]
 Description
 Book — xviii, 639 pages : illustrations (some color) ; 24 cm
 Summary

 PREFACE
 Chapter 1  Introduction to experimental designPART I  Statistical principles on design of experiments
 Chapter 2  Onefactor designs and the analysis of variance
 Chapter 3  Some further considerations on onefactor design and ANOVA
 Chapter 4  Multiplecomparison testing
 Chapter 5  Orthogonality, orthogonal decomposition, and their role in modern experimental designPART II  Identifying active factors
 Chapter 6  Twofactor crossclassification designs
 Chapter 7  Nested, or hierarchical, designs
 Chapter 8  Designs with three or more factors: Latinsquare and related designsPART III  Studying factors' effects (suggestion)
 Chapter 9  Twolevel factorial designs
 Chapter 10  Confounding/blocking in 2k designs
 Chapter 11  Twolevel fractionalfactorial designs
 Chapter 12  Designs with factors at three levels
 Chapter 13  Introduction to Taguchi methodsPART IV  Regression analysis, surface designs, and other topics
 Chapter 14  Simple regression
 Chapter 15  Multiple and stepwise regression
 Chapter 16  Introduction to ResponseSurface Methodology
 Chapter 17  Introduction to mixture design and triangular surfaces
 Chapter 18  Literature on experimental design and discussion of some topics not covered in the text.
 (source: Nielsen Book Data)
(source: Nielsen Book Data) 9783319645827 20180416
Engineering Library (Terman)
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QA279 .B467 2018  Unknown 
8. A first course in probability [2019]
 Ross, Sheldon M., author.
 Tenth edition.  Boston : Pearson, 2018.
 Description
 Book — xii, 505 pages : illiustrations ; 26 cm
 Summary

 Combinatorial analysis
 Axioms of probability
 Conditional probability and independence
 Random variables
 Continuous random variables
 Jointly distributed random variables
 Properties of expectation
 Limit theorems
 Additional topics in probability
 Simulation
 Common discrete distributions
 Common continuous distributions.
(source: Nielsen Book Data) 9780134753119 20180924
 Online
Engineering Library (Terman), Science Library (Li and Ma)
Engineering Library (Terman)  Status 

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QA273 .R83 2018  Unknown 
Science Library (Li and Ma)  Status 

Stacks  
QA273 .R83 2018  Unknown On reserve at Li and Ma Science Library 2hour loan 
QA273 .R83 2018  Unknown On reserve at Li and Ma Science Library 2hour loan 
QA273 .R83 2018  Unknown On reserve at Li and Ma Science Library 2hour loan 
MATH15101
 Course
 MATH15101  Introduction to Probability Theory
 Instructor(s)
 Kwan, Matthew
 Boyd, Stephen P., author.
 Cambridge, UK ; New York, NY : Cambridge University Press, 2018.
 Description
 Book — xii, 463 pages : illustrations ; 26 cm.
 Summary

 Part I. Vectors:
 1. Vectors
 2. Linear functions
 3. Norm and distance
 4. Clustering
 5. Linear independence Part II. Matrices:
 6. Matrices
 7. Matrix examples
 8. Linear equations
 9. Linear dynamical systems
 10. Matrix multiplication
 11. Matrix inverses Part III. Least Squares:
 12. Least squares
 13. Least squares data fitting
 14. Least squares classification
 15. Multiobjective least squares
 16. Constrained least squares
 17. Constrained least squares applications
 18. Nonlinear least squares
 19. Constrained nonlinear least squares Appendix A Appendix B Appendix C Appendix D Index.
 (source: Nielsen Book Data)
(source: Nielsen Book Data) 9781316518960 20181008
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QA184.2 .B69 2018  Unknown 
QA184.2 .B69 2018  Unknown 
10. Algorithms illuminated : Part 1, the basics [2017]
 Roughgarden, Tim, author.
 San Francisco, CA : Soundlikeyourself Publishing LLC, [2017]
 Description
 Book — xii, 204 pages : illustrations ; 23 cm
 Summary

"Algorithms are the heart and soul of computer science. Their applications range from network routing and computational genomics to publickey cryptography and database system implementation. Studying algorithms can make you a better programmer, a clearer thinker, and a master of technical interviews. Algorithms Illuminated is an accessible introduction to the subjecta transcript of what an expert algorithms tutor would say over a series of oneonone lessons. Part 1 covers asymptotic analysis and bigO notation, divideandconquer algorithms and the master method, randomized algorithms, and several famous algorithms for sorting and selection."Back cover.
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QA76.9 .A43 R68 2017  Unknown 
 Statistikk for økonomifag. English
 Ubøe, Jan, author.
 Cham, Switzerland : Springer, [2017]
 Description
 Book — xiv, 466 pages : illustrations (some color) ; 24 cm.
 Summary

 Descriptive statistics
 Probability
 Combinatorics
 Conditional probability
 Random variables, mean, and variance
 Joint distributions
 Basic probability distributions
 Estimation
 Hypothesis testing
 Commonly used tests
 Linear regression
 Solutions.
(source: Nielsen Book Data) 9783319709352 20180625
 Online
Engineering Library (Terman)
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QA276 .U26 2017  Unknown 
12. A practical guide to sentiment analysis [2017]
 Cham, Switzerland : Springer, [2017]
 Description
 Book — vii, 196 pages ; 24 cm.
 Summary

 PrefaceAffective Computing and Sentiment AnalysisMany Facets of Sentiment AnalysisReflections on Sentiment/Opinion AnalysisChallenges in Sentiment AnalysisSentiment Resources: Lexicons and DatasetsGenerative Models for Sentiment Analysis and Opinion MiningSocial Media Summarization. Deception Detection and Opinion SpamConceptLevel Sentiment Analysis with SenticNetIndex.
 (source: Nielsen Book Data)
(source: Nielsen Book Data) 9783319553924 20180129
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QA76.9 .N38 P73 2017  Unknown 
 Mitzenmacher, Michael, 1969 author.
 Second edition.  Cambridge, United Kingdom ; New York, NY : Cambridge University Press, 2017.
 Description
 Book — xx, 467 pages : illustrations ; 27 cm
 Summary

 1. Events and probability
 2. Discrete random variables and expectations
 3. Moments and deviations
 4. Chernoff and Hoeffding bounds
 5. Balls, bins, and random graphs
 6. The probabilistic method
 7. Markov chains and random walks
 8. Continuous distributions and the Polsson process
 9. The normal distribution
 10. Entropy, randomness, and information
 11. The Monte Carlo method
 12. Coupling of Markov chains
 13. Martingales
 14. Sample complexity, VC dimension, and Rademacher complexity
 15. Pairwise independence and universal hash functions
 16. Power laws and related distributions
 17. Balanced allocations and cuckoo hashing.
 (source: Nielsen Book Data)
(source: Nielsen Book Data) 9781107154889 20171204
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QA274 .M574 2017  Unknown 
14. Classical dynamics : a modern perspective [1974]
 Sudarshan, E. C. G. author.
 [New Delhi] : Hindustan Book Agency Singapore ; Hackensack, NJ : World Scientific, [2016]
 Description
 Book — xiv, 597 pages ; 25 cm
 Summary

 Introduction: Newtonian Mechanics Generalized Coordinates and Lagrange's Equations The Hamilton and Weiss Variational Principles and the Hamilton Equations of Motion The Relation Between the Lagrangian and the Hamilton Descriptions Invariance Properties of the Lagrangian & Hamiltonian Descriptions, Poisson and Lagrange Brackets, and Canonical Transformations Group Properties and Methods of Constructing Canonical Transformations Invariant Measures in Phase Space and Various Forms of Development in Time Theory of Systems with Constraints The Generalized Poisson Bracket and Its Applications Dynamical Systems with Infinitely Many Degrees of Freedom and Theory of Fields Linear and Angular Momentum Dynamical Variables and Their Significance Sets, Topological Spaces, Groups Lie Groups and Lie Algebras Realizations of Lie Groups and Lie Algebras Some Important Lie Groups and Their Lie Algebras Relativistic Symmetry in the Hamiltonian Formalism The ThreeDimensional Rotation Group The ThreeDimensional Euclidean Group The Galilei Group The Poincare Group Manifest Covariance in Hamiltonian Mechanics Relativistic ActionataDistance Theories Conclusion Index.
 (source: Nielsen Book Data)
(source: Nielsen Book Data) 9789814730013 20171030
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QA845 .S83 2016  Unknown 
 Bryant, Randal E. author.
 Third edition.  Boston : Pearson, [2016]
 Description
 Book — xxxvi, 1084 pages : illustrations (some color) ; 24 cm
 Summary

 Part I: Program Structure and Execution
 Chapter 1: A Tour of Computer Systems
 Chapter 2: Representing and Manipulating Information
 Chapter 3: MachineLevel Representation of Programs
 Chapter 4: Processor Architecture
 Chapter 5: Optimizing Program Performance
 Chapter 6: The Memory Hierarchy Part II: Running Programs on a System
 Chapter 7: Linking
 Chapter 8: Exceptional Control Flow
 Chapter 9: Virtual Memory Part III: Interaction and Communication Between Programs
 Chapter 10: SystemLevel I/O
 Chapter 11: Network Programming
 Chapter 12: Concurrent Programming Appendix Error Handling.
 (source: Nielsen Book Data)
(source: Nielsen Book Data) 9780134092669 20160619
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Engineering Library (Terman)
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On reserve: Ask at circulation desk  
QA76.5 .B795 2016  Unknown 4hour loan 
QA76.5 .B795 2016  Unknown 4hour loan 
CS10701
 Course
 CS10701  Computer Organization and Systems
 Instructor(s)
 Troccoli, Nicholas Paul
16. Fluid mechanics [2016]
 Kundu, Pijush K., author.
 Sixth edition.  London : Academic Press : Elsevier, [2016]
 Description
 Book — xxiv, 921 pages : illustrations ; 25 cm
 Summary

The classic textbook on fluid mechanics is revised and updated by Dr. David Dowling to better illustrate this important subject for modern students. With topics and concepts presented in a clear and accessible way, Fluid Mechanics guides students from the fundamentals to the analysis and application of fluid mechanics, including compressible flow and such diverse applications as aerodynamics and geophysical fluid mechanics. Its broad and deep coverage is ideal for both a first or second course in fluid dynamics at the graduate or advanced undergraduate level, and is wellsuited to the needs of modern scientists, engineers, mathematicians, and others seeking fluid mechanics knowledge. NEW TO THE SIXTH EDITION * Over 100 new examples designed to illustrate the application of the various concepts and equations featured in the text.* A completely new chapter on computational fluid dynamics (CFD) authored by Prof. Gretar Tryggvason of the University of Notre Dame. This new CFD chapter includes sample MatlabTM codes and 20 exercises. * New material on elementary kinetic theory, nonNewtonian constitutive relationships, internal and external roughwall turbulent flows, Reynoldsstress closure models, acoustic source terms, and unsteady onedimensional gas dynamics.* Plus 110 new exercises and nearly 100 new figures.
(source: Nielsen Book Data) 9780124059351 20160618
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QA901 .K86 2016  Unknown 
 McDowell, Gayle Laakmann, 1982 author.
 6th edition.  Palo Alto, CA : CareerCup, LLC, [2015]
 Description
 Book — x, 696 pages : illustrations ; 23 cm
 Online
Engineering Library (Terman)
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Permanent reserve: Ask at circulation desk  
QA76.6 .M342 2015  Unknown 
Stacks  
QA76.6 .M342 2015  Unknown 
QA76.6 .M342 2015  Unknown 
QA76.6 .M342 2015  Inlibrary use 
18. The end of error : unum computing [2015]
 Gustafson, John L., author.
 Boca Raton : CRC Press, Taylor & Francis Group, [2015]
 Description
 Book — xx, 416 pages : color illustrations ; 26 cm.
 Summary

 A New Number Format: The Unum Overview Fewer bits. Better answers Why better arithmetic can save energy and power
 Building up to the unum format A graphical view of bit strings: Value and closure plots Negative numbers Fixed point format Floating point format, almost What about infinity and NaN? Improving on IEEE rules
 The "original sin" of computer arithmetic The acceptance of incorrect answers "Almost infinite" and "beyond infinity" No overflow, no underflow, and no rounding Visualizing ubitenabled numbers
 The complete unum format Overcoming the tyranny of fixed storage size The IEEE Standard float formats Unum format: Flexible range and precision How can appending extra bits save storage? Ludicrous precision? The vast range of unums Changing environment settings within a computing task The reference prototype Special values in a flexible precision environment Converting exact unums to real numbers A complete exact unum set for a small utag Inexact unums A visualizer for unum strings
 Hidden scratchpads and the three layers The hidden scratchpad The unum layer The math layer The human layer Moving between layers Summary of conversions between layers in the prototype Are floats "good enough for government work"?
 Information per bit Information as the reciprocal of uncertainty "Unifying" a bound to a single ULP Unification in the prototype Can ubounds save storage compared with traditional floats?
 Fixedsize unum storage The Warlpiri unums The Warlpiri ubounds Hardware for unums: Faster than float hardware?
 Comparison operations Less than, greater than Equal, nowhere equal, and "not nowhere equal" Intersection
 Add/subtract, and the unbiased rounding myth Relearning the addition table ... for all real numbers "Creeping crud" and the myth of unbiased rounding Automatic error control and a simple test of unum math
 Multiplication and division Multiplication requires examining each quadrant Hardware for unum multiplication Division introduces asymmetry in the arguments
 Powers Square Square root Nested square roots and "ULP straddling" Taxing the scratchpad: Integers to integer powers A practice calculation of xy at low precision Practical considerations and the actual working routine Exp(x) and "The TableMaker's Dilemma"
 Other important unary operations Scope of the prototype Absolute value Natural logarithm, and a mention of log base
 2 Trig functions: Ending the madness by degrees
 Fused operations (singleuse expressions) Standardizing a set of fused operations Fused multiplyadd and fused multiplysubtract Solving the paradox of slow arithmetic for complex numbers Unum hardware for the complete accumulator Other fused operations
 Trial runs: Unums face challenge calculations Floating point II: The wrath of Kahan Rump's royal pain The quadratic formula Bailey's numerical nightmare Fast Fourier Transforms using unums
 A New Way to Solve: The Ubox The other kind of error Sampling error The deeply unsatisfying nature of classical error bounds The ubox approach Walking the line A ubox connectedregion example: Computing the unit circle area A definition of answer quality and computing "speed" Another Kahan booby trap: The "smooth surprise"
 Avoiding interval arithmetic pitfalls Useless error bounds The wrapping problem The dependency problem Intelligent standard library routines Polynomial evaluation without the dependency problem Other fused multipleuse expressions
 What does it mean to "solve" an equation? Another break from traditional numerical methods A linear equation in one unknown, solved by inversion "Try everything!" Exhaustive search of the number line The universal equation solver Solvers in more than one dimension Summary of the ubox solver approach
 Permission to guess Algorithms that work for floats also work for unums A fixedpoint problem Large systems of linear equations The last resort
 Pendulums done correctly The introductory physics approach The usual numerical approach Space stepping: A new source of massive parallelism It's not just for pendulums
 The twobody problem (and beyond) A differential equation with multiple dimensions Ubox approach: The initial space step The next starting point, and some state law enforcement The general space step The threebody problem The nbody problem and the galaxy colliders
 Calculus considered evil: Discrete physics Continuum versus discrete physics The discrete version of a vibrating string The singleatom gas Structural analysis
 The end of error
 Glossary For further reading
 Appendix A: Glossary of unum functions Appendix B: Glossary of ubox functions Appendix C: Algorithm listings for
 Part 1 Appendix D: Algorithm listings for
 Part 2
 Index.
 (source: Nielsen Book Data)
(source: Nielsen Book Data) 9781482239867 20160618
Engineering Library (Terman)
Engineering Library (Terman)  Status 

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QA275 .G92 2015  Unknown 
19. Fundamentals of continuum mechanics [2015]
 Rudnicki, John W., author.
 Chichester, West Sussex, United Kingdom : John Wiley & Sons, Ltd, 2015.
 Description
 Book — xvii, 199 pages : illustrations ; 25 cm
 Summary

 Preface xiii Nomenclature xv Introduction
 1 PART ONE MATHEMATICAL PRELIMINARIES
 3
 1 Vectors
 5 1.1 Examples
 9 1.1.1
 9 1.1.2
 9 Exercises
 9 Reference
 11
 2 Tensors
 13 2.1 Inverse
 15 2.2 Orthogonal Tensor
 16 2.3 Principal Values
 16 2.4 NthOrder Tensors
 18 2.5 Examples
 18 2.5.1
 18 2.5.2
 18 Exercises
 19
 3 Cartesian Coordinates
 21 3.1 Base Vectors
 21 3.2 Summation Convention
 23 3.3 Tensor Components
 24 3.4 Dyads
 25 3.5 Tensor and Scalar Products
 27 3.6 Examples
 29 3.6.1
 29 3.6.2
 29 3.6.3
 29 Exercises
 30 Reference
 30
 4 Vector (Cross) Product
 31 4.1 Properties of the Cross Product
 32 4.2 Triple Scalar Product
 33 4.3 Triple Vector Product
 33 4.4 Applications of the Cross Product
 34 4.4.1 Velocity due to Rigid Body Rotation
 34 4.4.2 Moment of a Force P about O
 35 4.5 Nonorthonormal Basis
 36 4.6 Example
 37 Exercises
 37
 5 Determinants
 41 5.1 Cofactor
 42 5.2 Inverse
 43 5.3 Example
 44 Exercises
 44
 6 Change of Orthonormal Basis
 47 6.1 Change of Vector Components
 48 6.2 Definition of a Vector
 50 6.3 Change of Tensor Components
 50 6.4 Isotropic Tensors
 51 6.5 Example
 52 Exercises
 53 Reference
 56
 7 Principal Values and Principal Directions
 57 7.1 Example
 59 Exercises
 60
 8 Gradient
 63 8.1 Example: Cylindrical Coordinates
 66 Exercises
 67 PART TWO STRESS
 69
 9 Traction and Stress Tensor
 71 9.1 Types of Forces
 71 9.2 Traction on Different Surfaces
 73 9.3 Traction on an Arbitrary Plane (Cauchy Tetrahedron)
 75 9.4 Symmetry of the Stress Tensor
 76 Exercise
 77 Reference
 77
 10 Principal Values of Stress
 79 10.1 Deviatoric Stress
 80 10.2 Example
 81 Exercises
 82
 11 Stationary Values of Shear Traction
 83 11.1 Example: Mohr Coulomb Failure Condition
 86 Exercises
 88
 12 Mohr s Circle
 89 Exercises
 93 Reference
 93 PART THREE MOTION AND DEFORMATION
 95
 13 Current and Reference Configurations
 97 13.1 Example
 102 Exercises
 103
 14 Rate of Deformation
 105 14.1 Velocity Gradients
 105 14.2 Meaning of D
 106 14.3 Meaning of W
 108 Exercises
 109
 15 Geometric Measures of Deformation
 111 15.1 Deformation Gradient
 111 15.2 Change in Length of Lines
 112 15.3 Change in Angles
 113 15.4 Change in Area
 114 15.5 Change in Volume
 115 15.6 Polar Decomposition
 116 15.7 Example
 118 Exercises
 118 References
 120
 16 Strain Tensors
 121 16.1 Material Strain Tensors
 121 16.2 Spatial Strain Measures
 123 16.3 Relations Between D and Rates of EG and U
 124 16.3.1 Relation Between E and D
 124 16.3.2 Relation Between D and U
 125 Exercises
 126 References
 128
 17 Linearized Displacement Gradients
 129 17.1 Linearized Geometric Measures
 130 17.1.1 Stretch in Direction N
 130 17.1.2 Angle Change
 131 17.1.3 Volume Change
 131 17.2 Linearized Polar Decomposition
 132 17.3 SmallStrain Compatibility
 133 Exercises
 135 Reference
 135 PART FOUR BALANCE OF MASS, MOMENTUM, AND ENERGY
 137
 18 Transformation of Integrals
 139 Exercises
 142 References
 143
 19 Conservation of Mass
 145 19.1 Reynolds Transport Theorem
 148 19.2 Derivative of an Integral over a TimeDependent Region
 149 19.3 Example: Mass Conservation for a Mixture
 150 Exercises
 151
 20 Conservation of Momentum
 153 20.1 Momentum Balance in the Current State
 153 20.1.1 Linear Momentum
 153 20.1.2 Angular Momentum
 154 20.2 Momentum Balance in the Reference State
 155 20.2.1 Linear Momentum
 156 20.2.2 Angular Momentum
 157 20.3 Momentum Balance for a Mixture
 158 Exercises
 159
 21 Conservation of Energy
 161 21.1 WorkConjugate Stresses
 163 Exercises
 165 PART FIVE IDEAL CONSTITUTIVE RELATIONS
 167
 22 Fluids
 169 22.1 Ideal Frictionless Fluid
 169 22.2 Linearly Viscous Fluid
 171 22.2.1 Nonsteady Flow
 173 Exercises
 175 Reference
 176
 23 Elasticity
 177 23.1 Nonlinear Elasticity
 177 23.1.1 Cauchy Elasticity
 177 23.1.2 Green Elasticity
 178 23.1.3 Elasticity of Prestressed Bodies
 179 23.2 Linearized Elasticity
 182 23.2.1 Material Symmetry
 183 23.2.2 Linear Isotropic Elastic Constitutive Relation
 185 23.2.3 Restrictions on Elastic Constants
 186 23.3 More Linearized Elasticity
 187 23.3.1 Uniqueness of the Static Problem
 188 23.3.2 Pressurized Hollow Sphere
 189 Exercises
 191 Reference
 194 Index 195.
 (source: Nielsen Book Data)
(source: Nielsen Book Data) 9781118479919 20160619
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QA808.2 .R83 2015  Unknown 
20. Mastering CMake : version 3.1 [2015]
 Martin, Ken, 1968 author.
 [Clifton Park, N.Y.] : Kitware Inc., [2015]
 Description
 Book — iv, 700 pages : illustrations ; 24 cm
 Online
Engineering Library (Terman)
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QA76.76 .O62 M37 2015  Unknown 