Linear Algebra, Matrix Theory and Applications (Hardcover)

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.

General

Imprint:	Arcler Education Inc
Country of origin:	Canada
Release date:	November 2019
First published:	2019
Editors:	Stefano Spezia
Dimensions:	229 x 152mm (L x W)
Format:	Hardcover
Pages:	290
ISBN-13:	978-1-77407-353-7
Categories:	Books > Science & Mathematics > Mathematics > Applied mathematics > General
LSN:	1-77407-353-6
Barcode:	9781774073537

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