## Introduction to Linear Algebra

**Author**: Gilbert Strang

**Publisher:**Wellesley-Cambridge Press

**ISBN:**9780980232776

**Category:**Mathematics

**Page:**600

**View:**1961

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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

**Author**: Lee W. Johnson,R. Dean Riess,Jimmy T. Arnold

**Publisher:**Addison-Wesley Longman

**ISBN:**9780321628213

**Category:**Mathematics

**Page:**555

**View:**7680

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## Introduction to Linear Algebra (Classic Version)

**Author**: Lee Johnson,Dean Riess,Jimmy Arnold

**Publisher:**Math Classics

**ISBN:**9780134689531

**Category:**Mathematics

**Page:**624

**View:**9867

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Originally published in 2002, reissued as part of Pearson's modern classic series.

## Linear Algebra and Its Applications

**Author**: Gilbert Strang

**Publisher:**N.A

**ISBN:**9780534422004

**Category:**Algebras, Linear

**Page:**487

**View:**6950

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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:**2813

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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:**9922

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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.

## Elementary Linear Algebra

**Author**: Stephen Andrilli,David Hecker

**Publisher:**Academic Press

**ISBN:**0128010479

**Category:**Mathematics

**Page:**806

**View:**2217

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Elementary Linear Algebra, 5th edition, by Stephen Andrilli and David Hecker, is a textbook for a beginning course in linear algebra for sophomore or junior mathematics majors. This text provides a solid introduction to both the computational and theoretical aspects of linear algebra. The textbook covers many important real-world applications of linear algebra, including graph theory, circuit theory, Markov chains, elementary coding theory, least-squares polynomials and least-squares solutions for inconsistent systems, differential equations, computer graphics and quadratic forms. Also, many computational techniques in linear algebra are presented, including iterative methods for solving linear systems, LDU Decomposition, the Power Method for finding eigenvalues, QR Decomposition, and Singular Value Decomposition and its usefulness in digital imaging. The most unique feature of the text is that students are nurtured in the art of creating mathematical proofs using linear algebra as the underlying context. The text contains a large number of worked out examples, as well as more than 970 exercises (with over 2600 total questions) to give students practice in both the computational aspects of the course and in developing their proof-writing abilities. Every section of the text ends with a series of true/false questions carefully designed to test the students’ understanding of the material. In addition, each of the first seven chapters concludes with a thorough set of review exercises and additional true/false questions. Supplements to the text include an Instructor’s Manual with answers to all of the exercises in the text, and a Student Solutions Manual with detailed answers to the starred exercises in the text. Finally, there are seven additional web sections available on the book’s website to instructors who adopt the text. Builds a foundation for math majors in reading and writing elementary mathematical proofs as part of their intellectual/professional development to assist in later math courses Presents each chapter as a self-contained and thoroughly explained modular unit. Provides clearly written and concisely explained ancillary materials, including four appendices expanding on the core concepts of elementary linear algebra Prepares students for future math courses by focusing on the conceptual and practical basics of proofs

## Linear Algebra with Applications, Alternate Edition

**Author**: N.A

**Publisher:**Jones & Bartlett Publishers

**ISBN:**1449656463

**Category:**

**Page:**N.A

**View:**1276

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## Linear Algebra and Learning from Data

**Author**: Gilbert Strang

**Publisher:**Wellesley-Cambridge Press

**ISBN:**9780692196380

**Category:**Mathematics

**Page:**448

**View:**3688

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From Gilbert Strang, the first textbook that teaches linear algebra together with deep learning and neural nets.

## Elementary Algebra

**Author**: Ron Larson

**Publisher:**Cengage Learning

**ISBN:**0547102275

**Category:**Mathematics

**Page:**720

**View:**3956

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Larson IS student success. ELEMENTARY ALGEBRA owes its success to the hallmark features for which the Larson team is known: learning by example, a straightforward and accessible writing style, emphasis on visualization through the use of graphs to reinforce algebraic and numeric solutions and to interpret data, and comprehensive exercise sets. These pedagogical features are carefully coordinated to ensure that students are better able to make connections between mathematical concepts and understand the content. With a bright, appealing design, the new Fifth Edition builds on the Larson tradition of guided learning by incorporating a comprehensive range of student success materials to help develop students’ proficiency and conceptual understanding of algebra. The text also continues coverage and integration of geometry in examples and exercises. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.