Introduction to Linear Algebra


Author: Gilbert Strang
Publisher: Wellesley-Cambridge Press
ISBN: 9780980232776
Category: Mathematics
Page: 600
View: 7189
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Linear algebra is something all mathematics undergraduates and many other students, in subjects ranging from engineering to economics, have to learn. The fifth edition of this hugely successful textbook retains all the qualities of earlier editions while at the same time seeing numerous minor improvements and major additions. The latter include: • A new chapter on singular values and singular vectors, including ways to analyze a matrix of data • A revised chapter on computing in linear algebra, with professional-level algorithms and code that can be downloaded for a variety of languages • A new section on linear algebra and cryptography • A new chapter on linear algebra in probability and statistics. A dedicated and active website also offers solutions to exercises as well as new exercises from many different sources (e.g. practice problems, exams, development of textbook examples), plus codes in MATLAB, Julia, and Python.

Introduction to Linear Algebra (Classic Version)


Author: Lee Johnson,Dean Riess,Jimmy Arnold
Publisher: Math Classics
ISBN: 9780134689531
Category: Mathematics
Page: 624
View: 6199
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Originally published in 2002, reissued as part of Pearson's modern classic series.

Introduction to Linear Algebra


Author: Lee W. Johnson,R. Dean Riess,Jimmy T. Arnold
Publisher: Addison-Wesley Longman
ISBN: 9780321628213
Category: Mathematics
Page: 555
View: 3852
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Exam Prep for: Introduction to Linear Algebra Fifth Edition


Author: David Mason
Publisher: Rico Publications
ISBN: N.A
Category: Education
Page: 800
View: 5117
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5,600 Exam Prep questions and answers. Ebooks, Textbooks, Courses, Books Simplified as questions and answers by Rico Publications. Very effective study tools especially when you only have a limited amount of time. They work with your textbook or without a textbook and can help you to review and learn essential terms, people, places, events, and key concepts.

Linear Algebra with Applications


Author: Gareth Williams
Publisher: Jones & Bartlett Learning
ISBN: 9780763732356
Category: Mathematics
Page: 670
View: 9736
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Mathematics

Linear Algebra and Learning from Data


Author: Gilbert Strang
Publisher: Wellesley-Cambridge Press
ISBN: 9780692196380
Category: Mathematics
Page: 446
View: 8916
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Linear algebra and the foundations of deep learning, together at last! From Professor Gilbert Strang, acclaimed author of Introduction to Linear Algebra, comes Linear Algebra and Learning from Data, the first textbook that teaches linear algebra together with deep learning and neural nets. This readable yet rigorous textbook contains a complete course in the linear algebra and related mathematics that students need to know to get to grips with learning from data. Included are: the four fundamental subspaces, singular value decompositions, special marices, large matrix computation techniques, compressed sensing, probability and statistics, optimization, the architecture of neural nets, stochastic gradient descent and backpropagation.

Linear Algebra and Its Applications


Author: Gilbert Strang
Publisher: N.A
ISBN: 9780534422004
Category: Algebras, Linear
Page: 487
View: 2495
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Renowned professor and author Gilbert Strang demonstrates that linear algebra is a fascinating subject by showing both its beauty and value. While the mathematics is there, the effort is not all concentrated on proofs. Strang's emphasis is on understanding. He explains concepts, rather than deduces. This book is written in an informal and personal style and teaches real mathematics. The gears change in Chapter 2 as students reach the introduction of vector spaces. Throughout the book, the theory is motivated and reinforced by genuine applications, allowing pure mathematicians to teach applied mathematics.

Linear Algebra with Applications, Alternate Edition


Author: Gareth Williams
Publisher: Jones & Bartlett Learning
ISBN: 0763782491
Category: Mathematics
Page: 532
View: 854
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Part of the new Digital Filmmaker Series! Digital Filmmaking: An Introductionis the first book in the newDigital Filmmaker Series. Designed for an introductory level course in digital filmmaking, it is intended for anyone who has an interest in telling stories with pictures and sound and won't assume any familiarity with equipment or concepts on the part of the student. In addition to the basics of shooting and editing, different story forms are introduced from documentary and live events through fictional narratives. Each of the topics is covered in enough depth to allow anyone with a camera and a computer to begin creating visual projects of quality.

Linear Algebra


Author: Klaus Jänich
Publisher: Springer Science & Business Media
ISBN: 9780387941288
Category: Mathematics
Page: 206
View: 7027
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This book covers the material of an introductory course in linear algebra. Topics include sets and maps, vector spaces, bases, linear maps, matrices, determinants, systems of linear equations, Euclidean spaces, eigenvalues and eigenvectors, diagonalization of self-adjoint operators, and classification of matrices. It contains multiple choice tests with commented answers.