%0 Book %1 citeulike:14218431 %A Bodewig, E. %B Matrix Calculus %D 1959 %I Elsevier %K 65f15-numerical-eigenvalues-eigenvectors 65f10-iterative-methods-for-linear-systems 65f05-direct-methods-for-linear-systems-and-matrix-inversion 15a18-eigenvalues-singular-values-and-eigenvectors 15-01-linear-and-multilinear-algebra-matrix-theory-instructional-exposition %R 10.1016/c2013-0-12461-0 %T Matrix Calculus %U http://dx.doi.org/10.1016/c2013-0-12461-0 %X Matrix Calculus, Second Revised and Enlarged Edition focuses on systematic calculation with the building blocks of a matrix and rows and columns, shunning the use of individual elements. The publication first offers information on vectors, matrices, further applications, measures of the magnitude of a matrix, and forms. The text then examines eigenvalues and exact solutions, including the characteristic equation, eigenrows, extremum properties of the eigenvalues, bounds for the eigenvalues, elementary divisors, and bounds for the determinant. The text ponders on approximate solutions, as well as the decomposition of the matrix into two triangular matrices, choice of another pivotal element, Gauss-Doolittle process, Aitken's triple product, neighbor systems, errors and exactness of the solution, and complex systems. The publication also elaborates on the characteristic equation of the iteration processes, type of convergence of the iteration methods, speeding-up convergence by changing matrix, and methods for electronic computers. The determination of eigenvectors, pure methods, progressive algorithms, and deflation are also discussed. The manuscript is a helpful reference for researchers interested in matrix calculus. %7 Second %@ 9781483232140

@book{citeulike:14218431, abstract = {{Matrix Calculus, Second Revised and Enlarged Edition focuses on systematic calculation with the building blocks of a matrix and rows and columns, shunning the use of individual elements. The publication first offers information on vectors, matrices, further applications, measures of the magnitude of a matrix, and forms. The text then examines eigenvalues and exact solutions, including the characteristic equation, eigenrows, extremum properties of the eigenvalues, bounds for the eigenvalues, elementary divisors, and bounds for the determinant. The text ponders on approximate solutions, as well as the decomposition of the matrix into two triangular matrices, choice of another pivotal element, Gauss-Doolittle process, Aitken's triple product, neighbor systems, errors and exactness of the solution, and complex systems. The publication also elaborates on the characteristic equation of the iteration processes, type of convergence of the iteration methods, speeding-up convergence by changing matrix, and methods for electronic computers. The determination of eigenvectors, pure methods, progressive algorithms, and deflation are also discussed. The manuscript is a helpful reference for researchers interested in matrix calculus.}}, added-at = {2017-06-29T07:13:07.000+0200}, author = {Bodewig, E.}, biburl = {https://www.bibsonomy.org/bibtex/28f0dc2a030cc0b6d8629219b26fa0c6d/gdmcbain}, booktitle = {Matrix Calculus}, citeulike-article-id = {14218431}, citeulike-linkout-0 = {http://dx.doi.org/10.1016/c2013-0-12461-0}, doi = {10.1016/c2013-0-12461-0}, edition = {Second}, interhash = {8fcd4aade7c6cc73dfdc15916db3ff64}, intrahash = {8f0dc2a030cc0b6d8629219b26fa0c6d}, isbn = {9781483232140}, keywords = {65f15-numerical-eigenvalues-eigenvectors 65f10-iterative-methods-for-linear-systems 65f05-direct-methods-for-linear-systems-and-matrix-inversion 15a18-eigenvalues-singular-values-and-eigenvectors 15-01-linear-and-multilinear-algebra-matrix-theory-instructional-exposition}, posted-at = {2016-12-01 22:56:20}, priority = {2}, publisher = {Elsevier}, timestamp = {2021-07-08T08:03:46.000+0200}, title = {{Matrix Calculus}}, url = {http://dx.doi.org/10.1016/c2013-0-12461-0}, year = 1959 }