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About this book :-
Linear Algebra & Applications (4E) written by
Gilbert Strang.
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.
Book Detail :-
Title: Linear Algebra & Applications
Edition: 4th
Author(s): Gilbert Strang
Publisher: Brooks Cole
Series:
Year: 2006
Pages: 468
Type: PDF
Language: English
ISBN: 9780030105678,9788131501726,0030105676,8131501728
Country:
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About Author :-
The author William Gilbert Strang was born in 1934, usually known as simply Gilbert Strang or Gil Strang, is an American mathematician, with contributions to finite element theory, the calculus of variations, wavelet analysis and linear algebra. He has made many contributions to mathematics education, including publishing seven mathematics textbooks and one monograph. Strang is the MathWorks Professor of Mathematics at the Massachusetts Institute of Technology.[2] He teaches Introduction to Linear Algebra and Computational Science and Engineering and his lectures are freely available through MIT OpenCourseWare.
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Book Contents :-
Linear Algebra & Applications (4E) written by
Gilbert Strang
cover the following topics.
1. Matrices and Gaussian Elimination
2. Vector Spaces
3. Orthogonality
4. Determinants
5. Eigenvalues and Eigenvectors
6. Positive Definite Matrices
7. Computations with Matrices
8. Linear Programming and Game Theory
A Intersection, Sum, and Product of Spaces
B The Jordan Form
C Matrix Factorizations
D Glossary A dictionary of Linear Algebra
E MATLAB Teaching Codes
F Linear Algebra in a Nutshell
Index
?1
?2
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