The second most cited math book of 2012 according to MathSciNet, the book has placed in the top 10 for since 2005.
This new edition includes thoroughly revised chapters on matrix multiplication problems and parallel matrix computations, expanded treatment of CS decomposition, an updated overview of floating point arithmetic, a more accurate rendition of ...
Matrix Computations
Provides the user with a step-by-step introduction to Fortran 77, BLAS, LINPACK, and MATLAB. It is a reference that spans several levels of practical matrix computations with a strong emphasis on examples and "hands on" experience.
The use of numerical methods continues to expand rapidly. At their heart lie matrix computations. Written in a clear, expository style, it allows students and professionals to build confidence in...
[1807] L. SNYDER [1986], Type architecturec, shared memory and the corollary of modest potential. Preprint. [1808] L. SNYDER, L. JAMmsoN, D. CANNON, AND 1!. Sweet, eds. [1985]. Algorithmically Specialized Parallel Computere, ...
The book focused on solving linear algebra practical problems with MATLAB.
Oxford University Press, Oxford (1997) Chan, R.H.-F., Jin, X.-Q.: An Introduction to Iterative Toeplitz Solvers. SIAM, Philadelphia, PA (2007) Chan, R.H., Ng, M.K.: Conjugate gradient methods for Toeplitz systems. SIAM Rev.
This new edition includes: * Numerous examples and exercises on applications including electrical circuits, elasticity (mass-spring systems), and simple partial differential equations * Early introduction of the singular value decomposition ...
However, a person who has fully mastered the material in this book should be well prepared for independent study in other areas of numerical linear algebra.
G.L. Miller, V. Ramachandran, E. Kaltofen, Efficient Parallel Evaluation of Straight-line Code and Arithmetic Circuits, SIAM J. Comput., 17, 4,687–695, 1988. Y. Mansour, B. Scheiber, P. Tiwari, Lower Bounds for Integer Greatest Common ...