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Linear Algebra Through Computer Science Applications

Jese Leos
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Published in Coding The Matrix: Linear Algebra Through Computer Science Applications
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Linear algebra is a fundamental branch of mathematics with far-reaching applications across numerous scientific and engineering disciplines. Its principles underpin computer science, providing the mathematical foundation for solving complex problems in fields such as machine learning, image processing, and computer graphics.

A Comprehensive Guide for Computer Scientists

"Linear Algebra Through Computer Science Applications" is a comprehensive guide that elucidates the intricate concepts of linear algebra through the lens of practical computer science applications. Written in an engaging and accessible style, this text empowers computer scientists with the foundational knowledge and skills necessary to tackle real-world challenges.

Coding the Matrix: Linear Algebra through Computer Science Applications
Coding the Matrix: Linear Algebra through Computer Science Applications

4.4 out of 5

Language : English
File size : 16163 KB
Screen Reader : Supported
Print length : 324 pages
Lending : Enabled

Delving into Key Concepts

The book delves into the core concepts of linear algebra, including:

  • Matrix operations
  • Vector spaces
  • Eigenvalues and eigenvectors
  • Singular value decomposition

Practical Applications in Computer Science

Each chapter meticulously connects theoretical concepts to practical applications in computer science, showcasing how linear algebra plays a pivotal role in solving real-world problems. Case studies and examples from fields such as:

  • Data mining
  • Image analysis
  • Computer graphics
  • Robotics

enrich the learning experience and demonstrate the relevance of linear algebra to modern computing.

Features of the Book

  • Clear and concise explanations: The book presents complex concepts in a clear and easy-to-understand manner, making it accessible to students and professionals alike.
  • Abundant examples and illustrations: Numerous examples and illustrations visually illustrate key concepts and practical applications, enhancing comprehension.
  • Interactive exercises and assignments: Each chapter includes interactive exercises and assignments that allow readers to test their understanding and apply their knowledge.
  • Real-world case studies: Real-world case studies from various industries demonstrate the practical impact of linear algebra in solving complex problems.

Benefits for Readers

By reading "Linear Algebra Through Computer Science Applications," readers will gain a deep understanding of linear algebra and its applications in computer science. This knowledge will enable them to:

  • Tackle complex problems in data analysis, image processing, and machine learning
  • Develop efficient algorithms for computer graphics and robotics
  • Understand the theoretical foundations of computer science
  • Enhance their problem-solving abilities and critical thinking skills

"Linear Algebra Through Computer Science Applications" is an invaluable resource for computer scientists, engineers, and anyone interested in understanding the fundamental concepts of linear algebra and its practical applications in the field of computing. Empowered with this knowledge, readers will unlock new possibilities and advance their careers in the ever-evolving world of technology.

Coding the Matrix: Linear Algebra through Computer Science Applications
Coding the Matrix: Linear Algebra through Computer Science Applications

4.4 out of 5

Language : English
File size : 16163 KB
Screen Reader : Supported
Print length : 324 pages
Lending : Enabled
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The book was found!
Coding the Matrix: Linear Algebra through Computer Science Applications
Coding the Matrix: Linear Algebra through Computer Science Applications

4.4 out of 5

Language : English
File size : 16163 KB
Screen Reader : Supported
Print length : 324 pages
Lending : Enabled
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