Explore vector spaces, transformations, and matrix decompositions with practical applications in coding and image processing.

Key Features

In-depth theoretical concepts

Practical applications and exercises

Comprehensive coverage of linear algebra topics

Book Description

This book introduces the fundamental concepts of linear algebra and applies the theorems in computation-oriented applications. It is suitable for a one-semester course and combines definitions and proofs with a focus on computational applications. Examples illustrate the use of software packages such as Mathematica, Maple, and Sage. The journey begins with vector spaces and progresses through linear transformations and operators. It then covers orthogonal bases and matrix decomposition. The material includes a brief introduction to aspects of abstract algebra related to linear algebra, such as groups, rings, modules, fields, and polynomials over fields. Understanding these concepts is crucial for solving complex problems in various fields. This book transitions readers from basic definitions to advanced computational applications, blending theoretical knowledge with practical skills. It is an essential resource for mastering linear algebra and its applications.

What you will learn

Understand vector spaces

Perform linear transformations

Solve linear equations

Decompose matrices

Apply orthogonal bases

Use linear algebra in coding

Who this book is for

Ideal for students, educators, and professionals in mathematics, computer science, and engineering. Readers should have a basic understanding of algebra. No advanced prerequisites are necessary.