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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.
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Applied Linear Algebra
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Applied Linear Algebra_Int (Edition1)
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ISBN 10: 9349964554
ISBN 13: 9789349964556
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Applied Linear Algebra (Hardback or Cased Book)
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Applied Linear Algebra
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Applied Linear Algebra_Int (Edition1)
Published by
Astral International Pvt. Ltd., 2026
ISBN 10: 9349964554
ISBN 13: 9789349964556
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Applied Linear Algebra
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Applied Linear Algebra
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Applied Linear Algebra_Int (Edition1) (Hardcover)
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Hardcover. Condition: new. Hardcover. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9789349964556
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Applied Linear Algebra
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ISBN 10: 9349964554
ISBN 13: 9789349964556
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Buch. Condition: Neu. 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
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