ebooks, audiobooks, and more for reads
Download Math On File full books in PDF, epub, and Kindle. Read online Math On File ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Download or read book File Folder Games written by Karen Finch and published by . This book was released on 1990 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author: Avi Wigderson
Publisher: Princeton University Press
Published: 2019-10-29
Total Pages: 434
ISBN-13: 0691189137
DOWNLOAD EBOOKAn introduction to computational complexity theory, its connections and interactions with mathematics, and its central role in the natural and social sciences, technology, and philosophy Mathematics and Computation provides a broad, conceptual overview of computational complexity theory—the mathematical study of efficient computation. With important practical applications to computer science and industry, computational complexity theory has evolved into a highly interdisciplinary field, with strong links to most mathematical areas and to a growing number of scientific endeavors. Avi Wigderson takes a sweeping survey of complexity theory, emphasizing the field’s insights and challenges. He explains the ideas and motivations leading to key models, notions, and results. In particular, he looks at algorithms and complexity, computations and proofs, randomness and interaction, quantum and arithmetic computation, and cryptography and learning, all as parts of a cohesive whole with numerous cross-influences. Wigderson illustrates the immense breadth of the field, its beauty and richness, and its diverse and growing interactions with other areas of mathematics. He ends with a comprehensive look at the theory of computation, its methodology and aspirations, and the unique and fundamental ways in which it has shaped and will further shape science, technology, and society. For further reading, an extensive bibliography is provided for all topics covered. Mathematics and Computation is useful for undergraduate and graduate students in mathematics, computer science, and related fields, as well as researchers and teachers in these fields. Many parts require little background, and serve as an invitation to newcomers seeking an introduction to the theory of computation. Comprehensive coverage of computational complexity theory, and beyond High-level, intuitive exposition, which brings conceptual clarity to this central and dynamic scientific discipline Historical accounts of the evolution and motivations of central concepts and models A broad view of the theory of computation's influence on science, technology, and society Extensive bibliography
Download or read book Mathematics and Computation written by Avi Wigderson and published by Princeton University Press. This book was released on 2019-10-29 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to computational complexity theory, its connections and interactions with mathematics, and its central role in the natural and social sciences, technology, and philosophy Mathematics and Computation provides a broad, conceptual overview of computational complexity theory—the mathematical study of efficient computation. With important practical applications to computer science and industry, computational complexity theory has evolved into a highly interdisciplinary field, with strong links to most mathematical areas and to a growing number of scientific endeavors. Avi Wigderson takes a sweeping survey of complexity theory, emphasizing the field’s insights and challenges. He explains the ideas and motivations leading to key models, notions, and results. In particular, he looks at algorithms and complexity, computations and proofs, randomness and interaction, quantum and arithmetic computation, and cryptography and learning, all as parts of a cohesive whole with numerous cross-influences. Wigderson illustrates the immense breadth of the field, its beauty and richness, and its diverse and growing interactions with other areas of mathematics. He ends with a comprehensive look at the theory of computation, its methodology and aspirations, and the unique and fundamental ways in which it has shaped and will further shape science, technology, and society. For further reading, an extensive bibliography is provided for all topics covered. Mathematics and Computation is useful for undergraduate and graduate students in mathematics, computer science, and related fields, as well as researchers and teachers in these fields. Many parts require little background, and serve as an invitation to newcomers seeking an introduction to the theory of computation. Comprehensive coverage of computational complexity theory, and beyond High-level, intuitive exposition, which brings conceptual clarity to this central and dynamic scientific discipline Historical accounts of the evolution and motivations of central concepts and models A broad view of the theory of computation's influence on science, technology, and society Extensive bibliography
Author: Facts on File
Publisher: Facts on File
Published: 2003-09-01
Total Pages: 288
ISBN-13: 9780816052837
DOWNLOAD EBOOKMath On File is a three-volume set designed to supplement the classroom instruction of mathematics in accordance with the National Council of Teachers of Mathematics (NCTM) standards. The set includes three valuable resourcesMath On File: Algebra, Math On File: Geometry, and Math On File: Calculus. Each volume covers a wide range of topics in an accessible and attractive format. This comprehensive collection of approximately 150 engaging problem sets ranges from simple to challenging and emphasizes the systematic development of mathematical skills. All exercises are reproducible and easy to distribute for classroom use or take-home practice. Each exercise contains an introduction as well as text and diagrams that fully articulate the ideas and concepts being studied. Coverage spans arithmetic series and balancing equations to the angles and lengths of sides of polygons to derivatives, integrals, and beyond. An essential addition to any high school or college mathematics classroom, Math On File provides fast access to high quality materials that teachers can assign for additional practice, provide as supplements to their lesson plans, or use as a basis for testing. It helps students achieve a better understanding of important principles in mathematics. Partial Table of Contents: þMath On File: Algebra þBasic Number Manipulations þMeasurement Conversion þCoincidences þBasic Algebraic Manipulationsþ Factoring Polynomialsþ Balancing Equations þFunctionsþ Exponential Functions þGraphingþ Plotting and Identifying Functions þPatternsþ Problem Solving þDataþ Statistics in Practice. þþMath On File: Calculus þ þFunctions, Graphs, and Limitsþ Analyzing Graphs of Functionsþ Timing Traffic Lights þDifferentiation and Applicationsþ Divided Differencesþ Hyperbolic Functions þIntegration and Applicationsþ Setting up Geometric Integralsþ Distance on Earthþ Undetermined Coefficients þSeries and Products, Finite and Infiniteþ Newton Polynomialsþ Two Infinite Formulas for Pi þ Advanced Applicationsþ Partial Derivativesþ Linear and Quadratic Approximations þMath On File: Geometry þ Properties of Two-dimensional Figures þ The Pythagorean Theorem þ Perpendicular Lines and Their Slopes þProperties of Three-dimensional Figures þ Scale Models of Earth þ Latitude and Longitude þGeometric Patterns þ Non-Euclidean Distances þ Schlegel Diagrams þApplied Geometry þ Estimating Heights Using Trigonometry þ Rotation Rate of the Earth þ Sunrise and Sunset Through the Year. þ
Download or read book Math on File Set written by Facts on File and published by Facts on File. This book was released on 2003-09-01 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: Math On File is a three-volume set designed to supplement the classroom instruction of mathematics in accordance with the National Council of Teachers of Mathematics (NCTM) standards. The set includes three valuable resourcesMath On File: Algebra, Math On File: Geometry, and Math On File: Calculus. Each volume covers a wide range of topics in an accessible and attractive format. This comprehensive collection of approximately 150 engaging problem sets ranges from simple to challenging and emphasizes the systematic development of mathematical skills. All exercises are reproducible and easy to distribute for classroom use or take-home practice. Each exercise contains an introduction as well as text and diagrams that fully articulate the ideas and concepts being studied. Coverage spans arithmetic series and balancing equations to the angles and lengths of sides of polygons to derivatives, integrals, and beyond. An essential addition to any high school or college mathematics classroom, Math On File provides fast access to high quality materials that teachers can assign for additional practice, provide as supplements to their lesson plans, or use as a basis for testing. It helps students achieve a better understanding of important principles in mathematics. Partial Table of Contents: þMath On File: Algebra þBasic Number Manipulations þMeasurement Conversion þCoincidences þBasic Algebraic Manipulationsþ Factoring Polynomialsþ Balancing Equations þFunctionsþ Exponential Functions þGraphingþ Plotting and Identifying Functions þPatternsþ Problem Solving þDataþ Statistics in Practice. þþMath On File: Calculus þ þFunctions, Graphs, and Limitsþ Analyzing Graphs of Functionsþ Timing Traffic Lights þDifferentiation and Applicationsþ Divided Differencesþ Hyperbolic Functions þIntegration and Applicationsþ Setting up Geometric Integralsþ Distance on Earthþ Undetermined Coefficients þSeries and Products, Finite and Infiniteþ Newton Polynomialsþ Two Infinite Formulas for Pi þ Advanced Applicationsþ Partial Derivativesþ Linear and Quadratic Approximations þMath On File: Geometry þ Properties of Two-dimensional Figures þ The Pythagorean Theorem þ Perpendicular Lines and Their Slopes þProperties of Three-dimensional Figures þ Scale Models of Earth þ Latitude and Longitude þGeometric Patterns þ Non-Euclidean Distances þ Schlegel Diagrams þApplied Geometry þ Estimating Heights Using Trigonometry þ Rotation Rate of the Earth þ Sunrise and Sunset Through the Year. þ
Author: Paul Orland
Publisher: Manning Publications
Published: 2021-01-12
Total Pages: 686
ISBN-13: 1617295353
DOWNLOAD EBOOKIn Math for Programmers you’ll explore important mathematical concepts through hands-on coding. Filled with graphics and more than 300 exercises and mini-projects, this book unlocks the door to interesting–and lucrative!–careers in some of today’s hottest fields. As you tackle the basics of linear algebra, calculus, and machine learning, you’ll master the key Python libraries used to turn them into real-world software applications. Summary To score a job in data science, machine learning, computer graphics, and cryptography, you need to bring strong math skills to the party. Math for Programmers teaches the math you need for these hot careers, concentrating on what you need to know as a developer. Filled with lots of helpful graphics and more than 200 exercises and mini-projects, this book unlocks the door to interesting–and lucrative!–careers in some of today’s hottest programming fields. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Skip the mathematical jargon: This one-of-a-kind book uses Python to teach the math you need to build games, simulations, 3D graphics, and machine learning algorithms. Discover how algebra and calculus come alive when you see them in code! About the book In Math for Programmers you’ll explore important mathematical concepts through hands-on coding. Filled with graphics and more than 300 exercises and mini-projects, this book unlocks the door to interesting–and lucrative!–careers in some of today’s hottest fields. As you tackle the basics of linear algebra, calculus, and machine learning, you’ll master the key Python libraries used to turn them into real-world software applications. What's inside Vector geometry for computer graphics Matrices and linear transformations Core concepts from calculus Simulation and optimization Image and audio processing Machine learning algorithms for regression and classification About the reader For programmers with basic skills in algebra. About the author Paul Orland is a programmer, software entrepreneur, and math enthusiast. He is co-founder of Tachyus, a start-up building predictive analytics software for the energy industry. You can find him online at www.paulor.land. Table of Contents 1 Learning math with code PART I - VECTORS AND GRAPHICS 2 Drawing with 2D vectors 3 Ascending to the 3D world 4 Transforming vectors and graphics 5 Computing transformations with matrices 6 Generalizing to higher dimensions 7 Solving systems of linear equations PART 2 - CALCULUS AND PHYSICAL SIMULATION 8 Understanding rates of change 9 Simulating moving objects 10 Working with symbolic expressions 11 Simulating force fields 12 Optimizing a physical system 13 Analyzing sound waves with a Fourier series PART 3 - MACHINE LEARNING APPLICATIONS 14 Fitting functions to data 15 Classifying data with logistic regression 16 Training neural networks
Download or read book Math for Programmers written by Paul Orland and published by Manning Publications. This book was released on 2021-01-12 with total page 686 pages. Available in PDF, EPUB and Kindle. Book excerpt: In Math for Programmers you’ll explore important mathematical concepts through hands-on coding. Filled with graphics and more than 300 exercises and mini-projects, this book unlocks the door to interesting–and lucrative!–careers in some of today’s hottest fields. As you tackle the basics of linear algebra, calculus, and machine learning, you’ll master the key Python libraries used to turn them into real-world software applications. Summary To score a job in data science, machine learning, computer graphics, and cryptography, you need to bring strong math skills to the party. Math for Programmers teaches the math you need for these hot careers, concentrating on what you need to know as a developer. Filled with lots of helpful graphics and more than 200 exercises and mini-projects, this book unlocks the door to interesting–and lucrative!–careers in some of today’s hottest programming fields. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Skip the mathematical jargon: This one-of-a-kind book uses Python to teach the math you need to build games, simulations, 3D graphics, and machine learning algorithms. Discover how algebra and calculus come alive when you see them in code! About the book In Math for Programmers you’ll explore important mathematical concepts through hands-on coding. Filled with graphics and more than 300 exercises and mini-projects, this book unlocks the door to interesting–and lucrative!–careers in some of today’s hottest fields. As you tackle the basics of linear algebra, calculus, and machine learning, you’ll master the key Python libraries used to turn them into real-world software applications. What's inside Vector geometry for computer graphics Matrices and linear transformations Core concepts from calculus Simulation and optimization Image and audio processing Machine learning algorithms for regression and classification About the reader For programmers with basic skills in algebra. About the author Paul Orland is a programmer, software entrepreneur, and math enthusiast. He is co-founder of Tachyus, a start-up building predictive analytics software for the energy industry. You can find him online at www.paulor.land. Table of Contents 1 Learning math with code PART I - VECTORS AND GRAPHICS 2 Drawing with 2D vectors 3 Ascending to the 3D world 4 Transforming vectors and graphics 5 Computing transformations with matrices 6 Generalizing to higher dimensions 7 Solving systems of linear equations PART 2 - CALCULUS AND PHYSICAL SIMULATION 8 Understanding rates of change 9 Simulating moving objects 10 Working with symbolic expressions 11 Simulating force fields 12 Optimizing a physical system 13 Analyzing sound waves with a Fourier series PART 3 - MACHINE LEARNING APPLICATIONS 14 Fitting functions to data 15 Classifying data with logistic regression 16 Training neural networks
Author: Diagram Group
Publisher: Facts on File
Published: 1995
Total Pages: 288
ISBN-13: 9780816029365
DOWNLOAD EBOOKFifty-four projects cover important concepts in mathematics, including number theory, algebra, geometry, trigonometry, probability and statistics, functions, pre-calculus and calculus.
Download or read book Math on File written by Diagram Group and published by Facts on File. This book was released on 1995 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fifty-four projects cover important concepts in mathematics, including number theory, algebra, geometry, trigonometry, probability and statistics, functions, pre-calculus and calculus.
Author: Marc Peter Deisenroth
Publisher: Cambridge University Press
Published: 2020-04-23
Total Pages: 392
ISBN-13: 1108569323
DOWNLOAD EBOOKThe fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site.
Download or read book Mathematics for Machine Learning written by Marc Peter Deisenroth and published by Cambridge University Press. This book was released on 2020-04-23 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site.
Author: Oscar Levin
Publisher: Createspace Independent Publishing Platform
Published: 2018-07-30
Total Pages: 238
ISBN-13: 9781724572639
DOWNLOAD EBOOKNote: This is a custom edition of Levin's full Discrete Mathematics text, arranged specifically for use in a discrete math course for future elementary and middle school teachers. (It is NOT a new and updated edition of the main text.)This gentle introduction to discrete mathematics is written for first and second year math majors, especially those who intend to teach. The text began as a set of lecture notes for the discrete mathematics course at the University of Northern Colorado. This course serves both as an introduction to topics in discrete math and as the "introduction to proof" course for math majors. The course is usually taught with a large amount of student inquiry, and this text is written to help facilitate this.Four main topics are covered: counting, sequences, logic, and graph theory. Along the way proofs are introduced, including proofs by contradiction, proofs by induction, and combinatorial proofs.While there are many fine discrete math textbooks available, this text has the following advantages: - It is written to be used in an inquiry rich course.- It is written to be used in a course for future math teachers.- It is open source, with low cost print editions and free electronic editions.
Download or read book Discrete Mathematics written by Oscar Levin and published by Createspace Independent Publishing Platform. This book was released on 2018-07-30 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: Note: This is a custom edition of Levin's full Discrete Mathematics text, arranged specifically for use in a discrete math course for future elementary and middle school teachers. (It is NOT a new and updated edition of the main text.)This gentle introduction to discrete mathematics is written for first and second year math majors, especially those who intend to teach. The text began as a set of lecture notes for the discrete mathematics course at the University of Northern Colorado. This course serves both as an introduction to topics in discrete math and as the "introduction to proof" course for math majors. The course is usually taught with a large amount of student inquiry, and this text is written to help facilitate this.Four main topics are covered: counting, sequences, logic, and graph theory. Along the way proofs are introduced, including proofs by contradiction, proofs by induction, and combinatorial proofs.While there are many fine discrete math textbooks available, this text has the following advantages: - It is written to be used in an inquiry rich course.- It is written to be used in a course for future math teachers.- It is open source, with low cost print editions and free electronic editions.
Author: Henry Segerman
Publisher: JHU Press
Published: 2016-10-04
Total Pages: 201
ISBN-13: 1421420368
DOWNLOAD EBOOKThe first book to explain mathematics using 3D printed models. Winner of the Technical Text of the Washington Publishers Wouldn’t it be great to experience three-dimensional ideas in three dimensions? In this book—the first of its kind—mathematician and mathematical artist Henry Segerman takes readers on a fascinating tour of two-, three-, and four-dimensional mathematics, exploring Euclidean and non-Euclidean geometries, symmetry, knots, tilings, and soap films. Visualizing Mathematics with 3D Printing includes more than 100 color photographs of 3D printed models. Readers can take the book’s insights to a new level by visiting its sister website, 3dprintmath.com, which features virtual three-dimensional versions of the models for readers to explore. These models can also be ordered online or downloaded to print on a 3D printer. Combining the strengths of book and website, this volume pulls higher geometry and topology out of the realm of the abstract and puts it into the hands of anyone fascinated by mathematical relationships of shape. With the book in one hand and a 3D printed model in the other, readers can find deeper meaning while holding a hyperbolic honeycomb, touching the twists of a torus knot, or caressing the curves of a Klein quartic.
Download or read book Visualizing Mathematics with 3D Printing written by Henry Segerman and published by JHU Press. This book was released on 2016-10-04 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first book to explain mathematics using 3D printed models. Winner of the Technical Text of the Washington Publishers Wouldn’t it be great to experience three-dimensional ideas in three dimensions? In this book—the first of its kind—mathematician and mathematical artist Henry Segerman takes readers on a fascinating tour of two-, three-, and four-dimensional mathematics, exploring Euclidean and non-Euclidean geometries, symmetry, knots, tilings, and soap films. Visualizing Mathematics with 3D Printing includes more than 100 color photographs of 3D printed models. Readers can take the book’s insights to a new level by visiting its sister website, 3dprintmath.com, which features virtual three-dimensional versions of the models for readers to explore. These models can also be ordered online or downloaded to print on a 3D printer. Combining the strengths of book and website, this volume pulls higher geometry and topology out of the realm of the abstract and puts it into the hands of anyone fascinated by mathematical relationships of shape. With the book in one hand and a 3D printed model in the other, readers can find deeper meaning while holding a hyperbolic honeycomb, touching the twists of a torus knot, or caressing the curves of a Klein quartic.
Author: James Alexander
Publisher:
Published: 2002
Total Pages: 288
ISBN-13: 9780816046324
DOWNLOAD EBOOKProvides approximately fifty problem sets to supplement classroom instruction or for individual out-of-class assignments.
Download or read book Math on File written by James Alexander and published by . This book was released on 2002 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides approximately fifty problem sets to supplement classroom instruction or for individual out-of-class assignments.
Author: George Grätzer
Publisher: Springer Science & Business Media
Published: 2013-12-01
Total Pages: 607
ISBN-13: 146122134X
DOWNLOAD EBOOKA new chapter "A Visual Introduction to MikTeX," an open source implementation of TeX and LaTeX for Windows operating systems Another new chapter describing amsrefs, a simpler method for formatting references that incorporates and replaces BibTeX data Integrates a major revision to the amsart document class, along with updated examples
Download or read book Math into LaTeX written by George Grätzer and published by Springer Science & Business Media. This book was released on 2013-12-01 with total page 607 pages. Available in PDF, EPUB and Kindle. Book excerpt: A new chapter "A Visual Introduction to MikTeX," an open source implementation of TeX and LaTeX for Windows operating systems Another new chapter describing amsrefs, a simpler method for formatting references that incorporates and replaces BibTeX data Integrates a major revision to the amsart document class, along with updated examples
