This comprehensive book is presented in two parts; the first part introduces the basics of matrix analysis necessary for matrix computations, and the second part presents representative methods and the corresponding theories in matrix computations. Among the key features of the book are the extensive exercises at the end of each chapter. Matrix Analysis and Computations provides readers with the matrix theory necessary for matrix computations, especially for direct and iterative methods for solving systems of linear equations. It includes systematic methods and rigorous theory on matrix splitting iteration methods and Krylov subspace iteration methods, as well as current results on preconditioning and iterative methods for solving standard and generalized saddle-point linear systems. This book can be used as a textbook for graduate students as well as a self-study tool and reference for researchers and engineers interested in matrix analysis and matrix computations. It is appropriate for courses in numerical analysis, numerical optimization, data science, and approximation theory, among other topics
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 ...
... Algebraic Eigenvalue Problem Demmel: Applied Numerical Linear Algebra Higham: Accuracy and Stability of Numerical ... Squares Problems Kressner: Numerical Methods for General and Structured Eigenvalue Problems Trefethen and Embree: ...
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 algebra is one of the most important areas of mathematics for data analysis and for statistical theory. This much-needed work presents the relevant aspects of the theory of matrix algebra for applications in statistics.
This text provides an introduction to numerical linear algebra together with its application to solving problems arising in state-space control and systems theory.
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.
Presents a novel form of a compendium that classifies an infinite number of problems by using a rule-based approach.
[] If A, B e Mn are normal (either complex or real) and satisfy an intertwining relation, the Fuglede—Putnam theorem says that A* and Bo satisfy the same intertwining relation. The key to our proof of this result is the fact that, ...
[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, ...