Handbook of Linear Algebra, Second Edition
Edited by Leslie Hogben
To Be Published November 7th 2013 by Chapman and Hall/CRC – 1,752 pages
Updated and expanded, the second edition of this bestseller provides comprehensive coverage of linear algebra concepts, applications, and computational software packages in an easy-to-use handbook format. It guides readers from the very elementary aspects of the subject to the frontiers of current research. The book encompasses the fundamentals of linear algebra, combinatorial and numerical linear algebra, and applications of linear algebra to various disciplines. It also describes software packages for linear algebra computations, including MATLAB®, Maple™, and Mathematica®.
Praise for the First Edition:
… a valuable compendium of information on virtually all aspects of linear algebra and its applications. …This is a Herculean labor of love on the editor’s part, a successful effort that should be appreciated and applauded by anyone working and/or teaching in this important area of mathematics. … Every library that supports mathematics and science departments should have this encyclopedic work on its shelves.
—Henry Ricardo, MAA Reviews, June 2007
Without doubts, it will be of great help for everybody who needs linear algebra in his profession, or for instructors or students looking for concepts, results, or examples.
—H. Mitsch, Monatshefte fur Math, 2007
This handbook covers all the major topics of linear algebra at both graduate and undergraduate level, as well as their applications and related software packages. The handbook will be without a doubt a valuable resource for anyone using linear algebra, i.e. basically for any mathematician.
Basic Linear Algebra. Matrices with Special Properties. Advanced Linear Algebra. Topics in Advanced Linear Algebra. Matrices and Graphs. Topics in Combinatorial Matrix Theory. Numerical Methods for Linear Systems. Numerical Methods for Eigenvalues. Computational Linear Algebra. Applications to Optimization. Applications to Probability and Statistics. Applications to Analysis. Applications to Physical and Biological Sciences. Applications to Computer Science. Applications to Geometry. Applications to Algebra. Interactive Software for Linear Algebra. Packages of Subroutines for Linear Algebra.