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: Howard Anton
Publisher: Wiley
ISBN: 9781118464427
Category : Mathematics
Languages : en
Pages : 0
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Book Description
An essential guide for understanding the basics of linear algebra The Student Solutions Manual to accompany Elementary Linear Algebra: Applications Version, 11th Edition offers a helpful guide for an understanding of an elementary treatment of linear algebra that is suitable for a first course for undergraduate students. The aim is to present the fundamentals of linear algebra in the clearest possible way; pedagogy is the main consideration. Calculus is not a prerequisite, but there are clearly labeled exercises and examples (which can be omitted without loss of continuity) for students who have studied calculus.
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Author: Howard Anton
Publisher: John Wiley & Sons
ISBN:
Category : Mathematics
Languages : en
Pages : 690
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Book Description
This classic treatment of linear algebra presents the fundamentals in the clearest possible way, examining basic ideas by means of computational examples and geometrical interpretation. It proceeds from familiar concepts to the unfamiliar, from the concrete to the abstract. Readers consistently praise this outstanding text for its expository style and clarity of presentation. The applications version features a wide variety of interesting, contemporary applications. Clear, accessible, step-by-step explanations make the material crystal clear. Established the intricate thread of relationships between systems of equations, matrices, determinants, vectors, linear transformations and eigenvalues.
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: Howard Anton
Publisher: John Wiley & Sons
ISBN: 9780471850397
Category : Algebras, Linear
Languages : en
Pages : 494
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Book Description
Author: Howard Anton
Publisher: Wiley
ISBN: 9780470458228
Category : Mathematics
Languages : en
Pages : 0
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Book Description
This classic treatment of linear algebra presents the fundamentals in the clearest possible way, examining basic ideas by means of computational examples and geometrical interpretation. It proceeds from familiar concepts to the unfamiliar, from the concrete to the abstract.
Author: Ron Larson
Publisher:
ISBN: 9781337556217
Category :
Languages : en
Pages : 592
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Book Description
Author: Peter J. Olver
Publisher: Springer
ISBN: 3319910418
Category : Mathematics
Languages : en
Pages : 679
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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.
