OpenCourser brand icon
Sign in
We may earn an affiliate commission when you visit our partners.

Inverse Matrices

Save
May 1, 2024 4 minute read
Jump to courses and books

Inverse matrices are a fundamental concept in linear algebra that have numerous applications in science, engineering, and other fields. An inverse matrix is a matrix that, when multiplied by the original matrix, results in the identity matrix. This property makes inverse matrices useful for solving systems of linear equations, finding eigenvalues and eigenvectors, and performing other matrix operations.

Why Learn About Inverse Matrices?

There are many reasons why someone might want to learn about inverse matrices. Some of the most common reasons include:

Path to Inverse Matrices

Take the first step.
We've curated three courses to help you on your path to Inverse Matrices. Use these to develop your skills, build background knowledge, and put what you learn to practice.
Sorted from most relevant to least relevant:

Share

Help others find this page about Inverse Matrices: by sharing it with your friends and followers:
Facebook
LinkedIn
Reddit
X
Link
Email

Reading list

We've selected five books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Inverse Matrices.
Cover image
Matrix Polynomials
Save
Provides a comprehensive overview of the theory of inverse matrices, including applications to linear equations, matrix equations, and matrix functions.
Matrix Polynomials (Classics in Applied Mathematics)
Paperback
$$$$
Cover image
Combinatorial Matrix Theory
Save
Provides a comprehensive overview of the theory of matrix inverses, including applications to linear equations, matrix equations, and matrix functions.
Combinatorial Matrix Theory (Advanced Courses in...
Paperback
$$
Combinatorial Matrix Theory (Advanced Courses in...
Kindle Edition
$$
Cover image
Matrix Analysis and Applications
Save
Covers the theory of matrix inverses, including their computation, properties, and applications to linear equations, matrix equations, and matrix functions.
Matrix Analysis and Applications
Hardcover
$$
(中文) Matrix Analysis and Applications(Chinese Edition)
Hardcover
$$
Matrix Analysis and Applications
Kindle Edition
$$$
Cover image
Matrix Computations
Save
Covers the theory of matrix inverses, including their computation, properties, and applications.
Matrix Computations
Paperback
Check
Matrix Computations
Kindle Edition
Check
Cover image
Linear Transformation
Save
Provides a concise introduction to the theory of matrix inversion, with applications to linear equations and matrix equations.
Linear Transformation: Examples and Solutions (ISSN)
Kindle Edition
$$$
Relevant careers
Systems Engineer
Control Engineer
Data Scientist
Operations Research Analyst
Financial Analyst
Computer Graphics Programmer
Robotics Engineer
Mathematician
Related topics
Linear Algebra
Abstract Algebra
Differential Equations
Numerical Analysis
Statistics
Calculus
Computer Science
Physics
Engineering
Share this
Share to help others explore Inverse Matrices:
Facebook LinkedIn X Reddit Link Email
Table of Contents
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2025 OpenCourser