Applied Linear Algebra

Language: English

Published by Astral International Pvt. Ltd. Jan 2026, 2026

9349964554 / 9789349964556

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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Hardcover

Condition: New

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Item description from seller

Neuware - 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.…

Seller Inventory # 9789349964556

Title
Applied Linear Algebra
Author
Pramod Gopinath
Publisher
Astral International Pvt. Ltd. Jan 2026
Publication year
2026
Condition
Neu
Binding
Buch
Language
English
ISBN 10
9349964554
ISBN 13
9789349964556
Item weight
494 grams
Dimensions
254x178x11 mm

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

Shipping rates from Germany to U.S.A.

Item7 to 10 business days5 to 7 business days
First item£ 29.17£ 37.51
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AHA-BUCH GmbH

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Einbeck, Germany 37574