Linear Algebra with Applications
Author: Otto Bretscher
Publisher:
Published: 2001
Total Pages: 176
ISBN-13: 9780130328564
DOWNLOAD EBOOK →Author: Otto Bretscher
Publisher:
Published: 2001
Total Pages: 176
ISBN-13: 9780130328564
DOWNLOAD EBOOK →Author: Strang Strang
Publisher: Cengage Learning
Published: 2006
Total Pages: 0
ISBN-13: 9780495013259
DOWNLOAD EBOOK →Includes detailed step-by-step solutions to selected odd-numbered problems.
Author: Kyle Burke
Publisher: Pearson
Published: 2013
Total Pages: 0
ISBN-13: 9780321796967
DOWNLOAD EBOOK →This manual contains completely worked-out solutions for all the odd-numbered exercises in the text.
Author: Otto Bretscher
Publisher: Pearson
Published: 2018-03-15
Total Pages: 508
ISBN-13: 9780135162972
DOWNLOAD EBOOK →This title is part of the Pearson Modern Classics series. Pearson Modern Classics are acclaimed titles at a value price. Please visit www.pearsonhighered.com/math-classics-series for a complete list of titles. Offering the most geometric presentation available, Linear Algebra with Applications, Fifth Edition emphasizes linear transformations as a unifying theme. This elegant textbook combines a user-friendly presentation with straightforward, lucid language to clarify and organize the techniques and applications of linear algebra. Exercises and examples make up the heart of the text, with abstract exposition kept to a minimum. Exercise sets are broad and varied and reflect the author's creativity and passion for this course. This revision reflects careful review and appropriate edits throughout, while preserving the order of topics of the previous edition.
Author: Bretscher
Publisher: Prentice Hall
Published: 2004-11-01
Total Pages: 240
ISBN-13: 9780131453364
DOWNLOAD EBOOK →Author: Gareth Williams
Publisher: Jones & Bartlett Learning
Published: 2011-08-24
Total Pages: 554
ISBN-13: 9780763782481
DOWNLOAD EBOOK →Revised and edited, Linear Algebra with Applications, Seventh Edition is designed for the introductory course in linear algebra and is organized into 3 natural parts. Part 1 introduces the basics, presenting systems of linear equations, vectors and subspaces of Rn, matrices, linear transformations, determinants, and eigenvectors. Part 2 builds on this material, introducing the concept of general vector spaces, discussing properties of bases, developing the rank/nullity theorem and introducing spaces of matrices and functions. Part 3 completes the course with many of the important ideas and methods of numerical linear algebra, such as ill-conditioning, pivoting, and LU decomposition. Offering 28 core sections, the Seventh Edition successfully blends theory, important numerical techniques, and interesting applications making it ideal for engineers, scientists, and a variety of other majors.
Author: Jeffrey Holt
Publisher: Macmillan Higher Education
Published: 2016-12-15
Total Pages: 817
ISBN-13: 1319057691
DOWNLOAD EBOOK →Holt's Linear Algebra with Applications, Second Edition, blends computational and conceptual topics throughout to prepare students for the rigors of conceptual thinking in an abstract setting. The early treatment of conceptual topics in the context of Euclidean space gives students more time, and a familiar setting, in which to absorb them. This organization also makes it possible to treat eigenvalues and eigenvectors earlier than in most texts. Abstract vector spaces are introduced later, once students have developed a solid conceptual foundation. Concepts and topics are frequently accompanied by applications to provide context and motivation. Because many students learn by example, Linear Algebra with Applications provides a large number of representative examples, over and above those used to introduce topics. The text also has over 2500 exercises, covering computational and conceptual topics over a range of difficulty levels.
Author: Howard Anton
Publisher: Wiley
Published: 2010-07-26
Total Pages: 0
ISBN-13: 9780470458228
DOWNLOAD EBOOK →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.