Linear Algebra: Concepts and Applications is designed to be used in a first linear algebra course taken by mathematics and science majors. It provides a complete coverage of core linear algebra topics, including vectors and matrices, systems of linear equations, general vector spaces, linear transformations, eigenvalues, and eigenvectors. All results are carefully, clearly, and rigorously proven. The exposition is very accessible. The applications of linear algebra are extensive and substantial—several of those recur throughout the text in different contexts, including many that elucidate concepts from multivariable calculus. Unusual features of the text include a pervasive emphasis on the geometric interpretation and viewpoint as well as a very complete treatment of the singular value decomposition. The book includes over 800 exercises and numerous references to the author's custom software Linear Algebra Toolkit.
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Known for its real-world applications and its blend of algebraic and geometric approaches, this book discusses mathematical modeling of real-world phenomena, with a fresh new computational and qualitative flavor evident throughout in ...
For courses in Advanced Linear Algebra. This top-selling, theorem-proof text presents a careful treatment of the principle topics of linear algebra, and illustrates the power of the subject through a variety of applications.
For combined differential equations and linear algebra courses teaching students who have successfully completed three semesters of calculus.
This Third Edition retains the features that have made it successful over the years, while addressing recent developments of how linear algebra is taught and learned. Key concepts are presented early on, with an emphasis on geometry.
Linear Algebra
Lineær algebra: en fremstilling av den elementære teorien beregnet på anvendelsene
Lineær algebra: Med en innføring i lineær programmering
Geometry Seminar "Luigi Bianchi" II, 1984: Lectures Given at the Scuola Normale Superiore
[39] J. DEMMEL, S. EISENSTAT, J. GILBERT, X. LI, AND J. W. H. LIU, A supernodal approach to sparse partial pivoting, Technical Report UCB//CSD-95-883, UC Berkeley Computer Science Division, September 1995. to appear in SIAM J. Mat.