Applied Linear Algebra

By Pramod Gopinath

Applied Linear Algebra bridges the gap between theory and practice, providing a comprehensive understanding of linear algebra concepts with a focus on their real-world applications. Ideal for students, engineers, data scientists, and researchers, this book offers a hands-on approach to solving complex problems using linear algebra techniques. Key Features: Clear and Practical Approach: Focuses on applying linear algebra to solve real-world problems in engineering, computer science, economics, and more. Core Concepts Explained: Covers matrix operations, eigenvalues, vector spaces, and systems of linear equations with intuitive explanations. Applications Across Fields: Demonstrates how linear algebra is used in areas such as machine learning, data analysis, computer graphics, and optimization. Step-by-Step Solutions: Provides detailed worked examples and practice problems to reinforce concepts. Visual Aids and Diagrams: Rich illustrations help clarify complex topics and provide visual understanding of abstract concepts. Computational Tools: Introduces the use of software tools like MATLAB and Python for solving linear algebra problems. Exercises and Review Questions: Includes a wide range of problems, from basic to advanced, to test knowledge and application.

• Format: Hardcover
• Language: English
• ISBN: 9349964554
• ISBN13: 9789349964556
• Release Date: January 2026
• Publisher: Knowledge Bakers
• Length: 158 Pages
• Weight: 1.09 lbs.
• Dimensions: 0.4" x 7.0" x 10.0"