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Book synopsis

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.

Book details

• Full title: Applied Linear Algebra
• Author: Pramod Gopinath
• Language: English
• Binding: Hardback
• Number of pages: 158
• EAN: 9789349964556
• ISBN: 9349964554
• ID: 51390936
• Publisher: Astral International Pvt. Ltd.
• Weight: 497 g
• Dimensions: 254 × 178 × 11 mm
• Date of publishing: 01. January 2026

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