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{ "item_title" : "Applied Linear Algebra", "item_author" : [" Pramod Gopinath "], "item_description" : "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.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/9/34/996/455/9349964554_b.jpg", "price_data" : { "retail_price" : "60.00", "online_price" : "60.00", "our_price" : "60.00", "club_price" : "60.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Applied Linear Algebra|Pramod Gopinath

Applied Linear Algebra

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Overview

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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Details

  • ISBN-13: 9789349964556
  • ISBN-10: 9349964554
  • Publisher: Knowledge Bakers
  • Publish Date: January 2026
  • Dimensions: 10 x 7 x 0.44 inches
  • Shipping Weight: 1.09 pounds
  • Page Count: 158

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