Elementary Linear Algebra A Matrix Approach Spence, Lawrence E.

By: Spence, Lawrence E Contributor(s): Insel, Arnold J | Firedberg, Stephen H Language: Eng Publication details: Uttar Pradesh Pearson India Education Service Pvt. Ltd. 2019 Edition: 2nd EditionDescription: xviii, 626p. Soft/Paper BoundISBN: 9789353432997Subject(s): Mathematics -- Linear AlgebraDDC classification: 512.5

Contents:

Matrics,vectors and systems of linear equations matrics and linear transformations Determinants Subspaces and their properties Eigenvalues, eigenvectors and diagonalization Orthogonality vector spaces

Summary: ased on the recommendations of the linear algebra curriculum study Group, this introduction to linear algebra offers a matrix-oriented approach with more emphasis on problem solving and applications. Throughout the text, use of technology is encouraged. The focus is on matrix Arithmetic, systems of linear Equations, properties of Euclidean n-space, eigenvalues and eigenvectors, and orthogonality. Although matrix-oriented, the text provides a solid coverage of vector spaces.

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Item type	Home library	Collection	Call number	Materials specified	Vol info	Copy number	Status	Notes	Date due	Barcode
Books	HPSMs Ganpat Parsekar College of Education, Harmal Mathematics	2 Shelf	512.5 SPE/ELE (Browse shelf(Opens below))		-	1	Available	2 Shelf		HPS-3492

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	512.5 LAY/LIN Linear Algebra and its Applications	512.5 SPE/ELE Elementary Linear Algebra A Matrix Approach

Matrics,vectors and systems of linear equations
matrics and linear transformations
Determinants
Subspaces and their properties
Eigenvalues, eigenvectors and diagonalization
Orthogonality
vector spaces

ased on the recommendations of the linear algebra curriculum study Group, this introduction to linear algebra offers a matrix-oriented approach with more emphasis on problem solving and applications. Throughout the text, use of technology is encouraged. The focus is on matrix Arithmetic, systems of linear Equations, properties of Euclidean n-space, eigenvalues and eigenvectors, and orthogonality. Although matrix-oriented, the text provides a solid coverage of vector spaces.

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