![]() |
|
Numerical Linear Algebra and Applications [Nath Datta] - Printable Version +- MKLab (https://mklab.gr) +-- Forum: [INDEX] (https://mklab.gr/forumdisplay.php?fid=1) +--- Forum: SCIENTIFIC COMPUTING (https://mklab.gr/forumdisplay.php?fid=4) +---- Forum: COMPUTATIONAL MATHS (https://mklab.gr/forumdisplay.php?fid=68) +----- Forum: BOOKS (https://mklab.gr/forumdisplay.php?fid=69) +----- Thread: Numerical Linear Algebra and Applications [Nath Datta] (/showthread.php?tid=2099) |
Numerical Linear Algebra and Applications [Nath Datta] - mklabgr - 09-23-2026 Numerical Linear Algebra and Applications, 2nd Edition by Biswa Nath Datta is a comprehensive textbook on the computational side of linear algebra, focusing on how matrices and linear systems are actually solved on computers. It begins with the mathematical foundations—vectors, matrices, norms, floating-point arithmetic, errors, conditioning, and algorithmic stability—before developing practical methods such as Gaussian elimination and LU factorization for solving Ax=bAx=b. The book emphasizes that numerical computation is not simply about obtaining an answer: algorithms must also be efficient, stable, and accurate in the presence of finite-precision arithmetic. The later chapters develop QR factorization, singular value decomposition (SVD), projections, least-squares problems, and numerical eigenvalue methods, followed by symmetric, generalized, and quadratic eigenvalue problems and Krylov-subspace methods. These techniques are connected to applications in engineering, physics, statistics, signal processing, image reconstruction, and other scientific fields. A particularly practical feature is the accompanying MATLAB/MATCOM material, allowing readers to implement algorithms and compare their efficiency, stability, and accuracy. Overall, the book serves both as a theoretical introduction to numerical linear algebra and as a practical guide to the algorithms used in scientific computing.[/url] [url=https://epubs.siam.org/doi/book/10.1137/1.9780898717655]BOOK |