Elementary Linear Algebra, Students Solutions Manual (e-only) PDF Download
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Author: Stephen Andrilli
Publisher: Elsevier
ISBN: 0123814553
Category :
Languages : en
Pages : 301
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Book Description
Author: Stephen Andrilli
Publisher: Elsevier
ISBN: 0123814553
Category :
Languages : en
Pages : 301
Get Book Here
Book Description
Author: Stephen Andrilli
Publisher: Academic Press
ISBN: 0123814561
Category : Mathematics
Languages : en
Pages : 300
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Book Description
Elementary Linear Algebra, Students Solutions Manual
Author: Stephen Andrilli
Publisher: Academic Press
ISBN: 0080886256
Category : Mathematics
Languages : en
Pages : 773
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Book Description
Elementary Linear Algebra develops and explains in careful detail the computational techniques and fundamental theoretical results central to a first course in linear algebra. This highly acclaimed text focuses on developing the abstract thinking essential for further mathematical study The authors give early, intensive attention to the skills necessary to make students comfortable with mathematical proofs. The text builds a gradual and smooth transition from computational results to general theory of abstract vector spaces. It also provides flexbile coverage of practical applications, exploring a comprehensive range of topics. Ancillary list:* Maple Algorithmic testing- Maple TA- www.maplesoft.com - Includes a wide variety of applications, technology tips and exercises, organized in chart format for easy reference - More than 310 numbered examples in the text at least one for each new concept or application - Exercise sets ordered by increasing difficulty, many with multiple parts for a total of more than 2135 questions - Provides an early introduction to eigenvalues/eigenvectors - A Student solutions manual, containing fully worked out solutions and instructors manual available
Author: Howard Anton
Publisher: John Wiley & Sons
ISBN: 0470458216
Category : Mathematics
Languages : en
Pages : 582
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Book Description
When it comes to learning linear algebra, engineers trust Anton. The tenth edition presents the key concepts and topics along with engaging and contemporary applications. The chapters have been reorganized to bring up some of the more abstract topics and make the material more accessible. More theoretical exercises at all levels of difficulty are integrated throughout the pages, including true/false questions that address conceptual ideas. New marginal notes provide a fuller explanation when new methods and complex logical steps are included in proofs. Small-scale applications also show how concepts are applied to help engineers develop their mathematical reasoning.
Author: Ron Larson
Publisher:
ISBN: 9781337556217
Category :
Languages : en
Pages : 592
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Book Description
Author: Stephen Boyd
Publisher: Cambridge University Press
ISBN: 1316518965
Category : Business & Economics
Languages : en
Pages : 477
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Book Description
A groundbreaking introduction to vectors, matrices, and least squares for engineering applications, offering a wealth of practical examples.
Author: Peter J. Olver
Publisher: Springer
ISBN: 3319910418
Category : Mathematics
Languages : en
Pages : 702
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Book Description
This textbook develops the essential tools of linear algebra, with the goal of imparting technique alongside contextual understanding. Applications go hand-in-hand with theory, each reinforcing and explaining the other. This approach encourages students to develop not only the technical proficiency needed to go on to further study, but an appreciation for when, why, and how the tools of linear algebra can be used across modern applied mathematics. Providing an extensive treatment of essential topics such as Gaussian elimination, inner products and norms, and eigenvalues and singular values, this text can be used for an in-depth first course, or an application-driven second course in linear algebra. In this second edition, applications have been updated and expanded to include numerical methods, dynamical systems, data analysis, and signal processing, while the pedagogical flow of the core material has been improved. Throughout, the text emphasizes the conceptual connections between each application and the underlying linear algebraic techniques, thereby enabling students not only to learn how to apply the mathematical tools in routine contexts, but also to understand what is required to adapt to unusual or emerging problems. No previous knowledge of linear algebra is needed to approach this text, with single-variable calculus as the only formal prerequisite. However, the reader will need to draw upon some mathematical maturity to engage in the increasing abstraction inherent to the subject. Once equipped with the main tools and concepts from this book, students will be prepared for further study in differential equations, numerical analysis, data science and statistics, and a broad range of applications. The first author’s text, Introduction to Partial Differential Equations, is an ideal companion volume, forming a natural extension of the linear mathematical methods developed here.
Author: Bernard Kolman
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 604
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Book Description
For first courses in Linear Algebra or Matrix Theory. This introductory text offers a fine balance between abstraction/theory and computational skills. While vector spaces come early, this is not a heavy duty theory text. This edition is more applied than ever before.
Author: Stephen Andrilli
Publisher: Academic Press
ISBN: 0323984266
Category : Mathematics
Languages : en
Pages : 546
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Book Description
Elementary Linear Algebra, Sixth Edition provides a solid introduction to both the computational and theoretical aspects of linear algebra, covering many important real-world applications, 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. In addition, 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. - Prepares students with a thorough coverage of the fundamentals of introductory linear algebra - Presents each chapter as a coherent, organized theme, with clear explanations for each new concept - Builds a foundation for math majors in the reading and writing of elementary mathematical proofs
Author: Howard Anton
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 562
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Book Description
As the most widely used text on elementary linear algebra, this book, in its 18th year of publication, has been substantially revised and updated. The most significant changes are in the reorganization to allow for earlier coverage of eigenvalues and eigenvectors. Additionally, there are major improvements in exposition, some new text material, changes and additions to the exercises, plus new supplementary software and computer-oriented course materials. As with previous editions, the aim is to present the fundamentals of linear algebra clearly, with basic ideas studied by means of computational examples and geometrical interpretation wherever possible. The proofs are presented so that they will be understood by beginning students with more difficult proofs placed in optional sections. Answers to all problems are given at the end of the text.
