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: Introduction to Vectors and Tensors Volume 1: Linear and Multilinear AlgebraIntroduction to Vectors and Tensors Volume 1: Linear and Multilinear Algebra
by - Springer
This book presents the basics of vector and tensor analysis for science and engineering students. Volume 1 covers algebraic structures and a modern introduction to the algebra of vectors and tensors. Clear presentation of mathematical concepts.
(22446 views)
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.
(18520 views)
Book cover: Notes on Linear AlgebraNotes on Linear Algebra
by - Queen Mary, University of London
On the theoretical side, we deal with vector spaces, linear maps, and bilinear forms. On the practical side, the subject is really about one thing: matrices. This module is a mixture of abstract theory and concrete calculations with matrices.
(14659 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.).
(21660 views)