Beilina Linear Algebra

Numerical Linear Algebra: Theory and Applications  eBooks & eLearning

Posted by hill0 at Feb. 24, 2018
Numerical Linear Algebra: Theory and Applications

Numerical Linear Algebra: Theory and Applications by Larisa Beilina
English | 22 Jan. 2018 | ISBN: 3319573020 | 450 Pages | PDF (True) | 6.91 MB

Numerical Linear Algebra: Theory and Applications  eBooks & eLearning

Posted by AvaxGenius at Sept. 19, 2017
Numerical Linear Algebra: Theory and Applications

Numerical Linear Algebra: Theory and Applications By Larisa Beilina, Evgenii Karchevskii, Mikhail Karchevskii
English | PDF,EPUB | 2017 | 457 Pages | ISBN : 3319573020 | 16.28 MB

This book combines a solid theoretical background in linear algebra with practical algorithms for numerical solution of linear algebra problems. Developed from a num-ber 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 normscombined with main direct and iterative numerical methods, least squares problems, and eigenproblems.

Numerical Linear Algebra: Theory and Applications  eBooks & eLearning

Posted by Jeembo at Jan. 22, 2018
Numerical Linear Algebra: Theory and Applications

Numerical Linear Algebra: Theory and Applications by Larisa Beilina, Evgenii Karchevskii, Mikhail Karchevskii
English | 2017 | ISBN: 3319573020 | 450 Pages | PDF | 13.8 MB

This book combines a solid theoretical background in linear algebra with practical algorithms for numerical solution of linear algebra problems.

Numerical Linear Algebra: Theory and Applications  eBooks & eLearning

Posted by AvaxGenius at Feb. 4, 2018
Numerical Linear Algebra: Theory and Applications

Numerical Linear Algebra: Theory and Applications By Larisa Beilina
English | EPUB | 2017 | 457 Pages | ISBN : 3319573020 | 9.38 MB

This book combines a solid theoretical background in linear algebra with practical algorithms for numerical solution of linear algebra problems. Developed 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.