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Introduction to Linear Algebra 5th Edition by Gilbert Strang ISBN 1733146679 9781733146678

Name: Introduction to Linear Algebra 5th Edition by Gilbert Strang ISBN 1733146679 9781733146678
SKU: EB-53978722
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Introduction to Linear Algebra 5th Edition Gilbert Strang Digital Instant Download

Author(s): Gilbert Strang

Edition: 5th

File Details: PDF, 56.75 MB

Year: 2016

Language: english

SKU: EB-53978722 Category: Mathematics - Computational Mathematics Tag: Gilbert Strang

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Introduction to Linear Algebra 5th Edition by Gilbert Strang – Ebook PDF Instant Download/Delivery: 1733146679 ,9781733146678
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ISBN 10: 1733146679
ISBN 13: 9781733146678
Author: Gilbert Strang

Linear algebra now rivals or surpasses calculus in importance for people working in quantitative fields of all kinds: engineers, scientists, economists and business people. Gilbert Strang has taught linear algebra at MIT for more than 50 years and the course he developed has become a model for teaching around the world. His video lectures on MIT OpenCourseWare have been viewed over ten million times and his twelve textbooks are popular with readers worldwide. This sixth edition of Professor Strang’s most popular book, Introduction to Linear Algebra, introduces the ideas of independent columns and the rank and column space of a matrix early on for a more active start. Then the book moves directly to the classical topics of linear equations, fundamental subspaces, least squares, eigenvalues and singular values – in each case expressing the key idea as a matrix factorization. The final chapters of this edition treat optimization and learning from data: the most active application of linear algebra today. Everything is explained thoroughly in Professor Strang’s characteristic clear style. It is sure to delight and inspire the delight and inspire the next generation of learners.

Introduction to Linear Algebra 5th Edition Table of contents:

Introduction: The Power of Linear Algebra
Chapter 1: Vectors and Spaces
Chapter 2: Solving Linear Equations
Chapter 3: Matrix Algebra
Chapter 4: Determinants
Chapter 5: Vector Spaces
Chapter 6: Eigenvalues and Eigenvectors
Chapter 7: Orthogonality
Chapter 8: Symmetric Matrices and Diagonalization
Chapter 9: Linear Transformations
Chapter 10: Applications of Linear Algebra
Chapter 11: The Geometry of Linear Algebra
Chapter 12: The Singular Value Decomposition
Appendix A: Basic Set Theory
Appendix B: Review of Complex Numbers
Index

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