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標(biāo)題: Titlebook: Numerical Linear Algebra: Theory and Applications; Larisa Beilina,Evgenii Karchevskii,Mikhail Karchev Textbook 2017 Springer International [打印本頁]

作者: Cataplexy 時間: 2025-3-21 17:10
書目名稱Numerical Linear Algebra: Theory and Applications影響因子(影響力)

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書目名稱Numerical Linear Algebra: Theory and Applications讀者反饋學(xué)科排名

作者: orthopedist 時間: 2025-3-21 20:41

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作者: 蚊子 時間: 2025-3-22 04:36
Linear Operators,e-dimensional linear spaces. We give a detailed investigation of their spectral properties. Special attention is paid to the study of the structure of the main classes of linear operators in finite-dimensional Euclidean and unitary spaces.

作者: 連鎖 時間: 2025-3-22 11:25

作者: profligate 時間: 2025-3-22 16:27
Algorithms for the Nonsymmetric Eigenvalue Problem,applied to dense matrices, and iterative methods such as the Rayleigh–Ritz method and Lanczos’s algorithm are applied to sparse matrices. Iterative methods usually can compute not all of the eigenvalues and eigenvectors, but only some subset, and their convergence depends on the structure of the mat

作者: 火光在搖曳 時間: 2025-3-22 19:55

作者: indices 時間: 2025-3-23 00:10
Larisa Beilina,Evgenii Karchevskii,Mikhail Karchevskiignaling components would result in severe innate immune deficiency. However, to date, relatively few mutations have been described that underlie deficient TLR4 signaling and increased susceptibility to infectious disease. These include mutations in TLR4, the IRAK-4 enzyme, and in NEMO (IKK.) and I.B

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作者: chalice 時間: 2025-3-23 13:06
gnaling components would result in severe innate immune deficiency. However, to date, relatively few mutations have been described that underlie deficient TLR4 signaling and increased susceptibility to infectious disease. These include mutations in TLR4, the IRAK-4 enzyme, and in NEMO (IKK.) and I.B

作者: 認(rèn)識 時間: 2025-3-23 17:46
Textbook 2017oped from a number of courses taught repeatedly by the authors, the material covers topics like matrix algebra, theory for linear systems of equations, spectral theory, vector and matrix norms combined with main direct and iterative numerical methods, least squares problems, and eigenproblems. Numer

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作者: 責(zé)難 時間: 2025-3-23 23:02
Canonical Forms and Factorizations,ed. A special section is devoted to studying matrix pencils. We obtain their canonical forms and describe applications to investigate the structure of solutions of systems of ordinary linear differential equations.

作者: Immunoglobulin 時間: 2025-3-24 04:29

作者: 使習(xí)慣于 時間: 2025-3-24 07:28
Preliminaries, roots. We introduce the concept of determinants, establish their properties, and present the basic theory of systems of linear algebraic equations with nonsingular matrices. The main types of rectangular matrices are described.

作者: Expiration 時間: 2025-3-24 13:48
Vector Spaces,then a one-to-one correspondence between geometric vectors and ordered triples of real numbers (the coordinates of vectors in the basis) is determined, and algebraic operations with vector coordinates can be substituted for geometric operations with the vectors themselves.

作者: 轉(zhuǎn)向 時間: 2025-3-24 18:06
Linear Operators,e-dimensional linear spaces. We give a detailed investigation of their spectral properties. Special attention is paid to the study of the structure of the main classes of linear operators in finite-dimensional Euclidean and unitary spaces.

作者: 善于 時間: 2025-3-24 21:06
Algorithms for the Nonsymmetric Eigenvalue Problem,applied to dense matrices, and iterative methods such as the Rayleigh–Ritz method and Lanczos’s algorithm are applied to sparse matrices. Iterative methods usually can compute not all of the eigenvalues and eigenvectors, but only some subset, and their convergence depends on the structure of the matrix.

作者: 間接 時間: 2025-3-24 23:22

作者: BET 時間: 2025-3-25 03:28
Elements of Perturbation Theory,In this chapter we study the influence of perturbations of matrices on the solutions of such basic problems of linear algebra as calculating eigenvalues and singular values of operators, constructing the inverse matrix, solving systems of linear algebraic equations, and solving the linear least squares problem.

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作者: sinoatrial-node 時間: 2025-3-25 14:43
Numerical Solution of Linear Least Squares Problems,In this chapter we present methods for numerical solution of linear least squares problems. These problems arise in many real-life applications such that curve fitting, statistical modelling and different inverse problems, when some model function should be fitted to the measured data.

作者: entrance 時間: 2025-3-25 18:59
Algorithms for Solution of Symmetric Eigenvalue Problems,In this chapter we will discuss algorithms that can solve only symmetric eigenvalue problems using direct noniterative methods.

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作者: Osmosis 時間: 2025-3-26 02:50
Larisa Beilina,Evgenii Karchevskii,Mikhail KarchevPresents extended basic theory of linear algebra.Includes programs in MATLAB that provide students with experience in implementation and evaluation of numerical algorithms.Perfect for a one or two sem

作者: archenemy 時間: 2025-3-26 05:36