Linear Algebra, Matrix Theory and Applications
Seiten
2019
Arcler Press (Verlag)
978-1-77407-353-7 (ISBN)
Arcler Press (Verlag)
978-1-77407-353-7 (ISBN)
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Offers insights into the various aspects related to matrices, including the concepts of vector spaces, least square regression, determinants, eigen values, eigen vectors, positive definite matrices, singular value decomposition, and computation in matrices.
Linear Algebra, Matrix Theory and Applications gives insights into the various aspects related to the matrices including the concepts on vector spaces, least square regression, determinants, eigen values, eigen vectors, positive definite matrices, singular value decomposition and teaches the readers the methods of computation in matrices.
This book also discusses about Reduced triangular form of polynomial, Gaussian Elimination-based correlation analysis, Shift-invert diagonalization of spin chains, Fast matrix multiplication, Finding the pth root of principal matrix and Quasi-rational canonical form of a matrix.
Linear Algebra, Matrix Theory and Applications gives insights into the various aspects related to the matrices including the concepts on vector spaces, least square regression, determinants, eigen values, eigen vectors, positive definite matrices, singular value decomposition and teaches the readers the methods of computation in matrices.
This book also discusses about Reduced triangular form of polynomial, Gaussian Elimination-based correlation analysis, Shift-invert diagonalization of spin chains, Fast matrix multiplication, Finding the pth root of principal matrix and Quasi-rational canonical form of a matrix.
Stefano Spezia is Ph.D. holder in Applied Physics at the University of Palermo since April 2012. His major research experience is in noise-induced effects in nonlinear systems, especially in the fields of modeling of complex biological systems and simulation of semiconductor spintronic devices. Associate member of the Italian Physical Society and European Physical Society.
| Erscheinungsdatum | 02.12.2019 |
|---|---|
| Sprache | englisch |
| Maße | 152 x 229 mm |
| Gewicht | 755 g |
| Themenwelt | Mathematik / Informatik ► Mathematik ► Allgemeines / Lexika |
| Mathematik / Informatik ► Mathematik ► Angewandte Mathematik | |
| Naturwissenschaften | |
| ISBN-10 | 1-77407-353-6 / 1774073536 |
| ISBN-13 | 978-1-77407-353-7 / 9781774073537 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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