Applied Linear Algebra_Int (Edition1) - Couverture rigide

Pramod Gopinath

Couverture rigide

ISBN 10 : 9349964554 ISBN 13 : 9789349964556

Editeur : Knowledge Bakers, 2026

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.

Détails de l'édition

• Éditeur: Knowledge Bakers
• Date d'édition: 2026
• Langue: anglais
• ISBN 10: 9349964554
• ISBN 13: 9789349964556
• Reliure: Relié
• Nombre de pages: 158
• Coordonnées du fabricant: non disponible
• Personne responsable: non disponible