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: Templates for the Solution of Linear SystemsTemplates for the Solution of Linear Systems
by - Society for Industrial Mathematics
The book focuses on the use of iterative methods for solving large sparse systems of linear equations. General and reusable templates are introduced to meet the needs of both the traditional user and the high-performance specialist.
(10652 views)
Book cover: Linear Algebra, Infinite Dimensions, and MapleLinear Algebra, Infinite Dimensions, and Maple
by - Georgia Tech
These notes are about linear operators on Hilbert Spaces. The text is an attempt to provide a way to understand the ideas without the students already having the mathematical maturity that a good undergraduate analysis course could provide.
(8387 views)
Book cover: Linear Algebra Review and ReferenceLinear Algebra Review and Reference
by - Stanford University
From the tabble of contents: Basic Concepts and Notation; Matrix Multiplication; Operations and Properties; Matrix Calculus (Gradients and Hessians of Quadratic and Linear Functions, Least Squares, Eigenvalues as Optimization, etc.).
(13629 views)
Book cover: Set Linear Algebra and Set Fuzzy Linear AlgebraSet Linear Algebra and Set Fuzzy Linear Algebra
by - InfoLearnQuest
Set linear algebras, introduced by the authors in this book, are the most generalized form of linear algebras. These structures make use of very few algebraic operations and are easily accessible to non-mathematicians as well.
(8154 views)