Logo

Linear Algebra C-2: Geometrical Vectors, Vector Spaces and Linear Maps

Small book cover: Linear Algebra C-2: Geometrical Vectors, Vector Spaces and Linear Maps

Linear Algebra C-2: Geometrical Vectors, Vector Spaces and Linear Maps
by

Publisher: BookBoon
ISBN-13: 9788776815073
Number of pages: 126

Description:
The book is a collection of solved problems in linear algebra, the second volume covers geometrical vectors, vector spaces and linear maps. All examples are solved, and the solutions usually consist of step-by-step instructions, and are designed to assist students in methodically solving problems.

Home page url

Download or read it online for free here:
Download link
(3.2MB, PDF)

Similar books

Book cover: n-Linear Algebra of Type I and Its Applicationsn-Linear Algebra of Type I and Its Applications
by - InfoLearnQuest
n-Linear Algebra of type I introduced in this book finds applications in Markov chains and Leontief economic models. Scientists and engineers can adopt this concept in fuzzy finite element analysis of mechanical structures with uncertain parameters.
(7198 views)
Book cover: n-Linear Algebra of Type IIn-Linear Algebra of Type II
by - InfoLearnQuest
This book is a continuation of the book n-linear algebra of type I. Most of the properties that could not be derived or defined for n-linear algebra of type I is made possible in this new structure which is introduced in this book.
(7087 views)
Book cover: Applied and Computational Linear Algebra: A First CourseApplied and Computational Linear Algebra: A First Course
by - University of Massachusetts Lowell
This book is a text for a graduate course that focuses on applications of linear algebra and on the algorithms used to solve the problems that arise in those applications. Tthe particular nature of the applications will prompt us to seek algorithms.
(5899 views)
Book cover: Notes on Numerical Linear AlgebraNotes on Numerical Linear Algebra
by
Tutorial describing many of the standard numerical methods used in Linear Algebra. Topics include Gaussian Elimination, LU and QR Factorizations, The Singular Value Decomposition, Eigenvalues and Eigenvectors via the QR Method, etc.
(8936 views)