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Linear Algebra: Theory, Intuition, Code (Greyscale Indian Edition)

Linear Algebra: Theory, Intuition, Code (Greyscale Indian Edition)


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About the Book

Disclaimer Shroff Publishers do not endorse the preview pages of kindle linked to our ISBNs. All Indian Reprints of Sincxpress BV are Printed in Grayscale. Welcome to this comprehensive guide, where traditional theory meets modern computational practices. Linear algebra is the magic behind many computational sciences -- machine learning, AI, data science, statistics, simulations, computer graphics, multivariate analyses, matrix decompositions, signal processing, and more. But here's a secret: the way it's taught in traditional textbooks isn't how professionals use it in the field. For instance, have you ever wondered about the practical importance of a matrix's "determinant"? You might be in for a surprise! This book bridges the gap between theoretical understanding and practical application, showing you not only the 'what' but also the 'how' of implementing linear algebra in real-world scenarios. What makes this book a must-have resource? Multiple angles to explain ideas, a proven technique to help cement your understanding. Vivid graphical visualizations to enhance your geometric intuition of linear algebra. Real-world implementations in MATLAB and Python. After all, in today's world, you seldom solve math problems by hand. Software is the way forward! A range of topics from beginner to intermediate levels, including vectors, matrix multiplications, least-squares projections, eigendecomposition, and singular-value decomposition. Emphasis on the application-oriented aspects of linear algebra and matrix analysis. Ready-to-use codes in MATLAB and Python to bring linear algebra concepts to life on your computer. A unique blend of hand-solved exercises and advanced code challenges. Remember, math is not a spectator sport!


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Product Details
  • ISBN-13: 9789355424228
  • Publisher: Shroff/Sincxpress BV
  • Binding: Paperback
  • Height: 27.94 mm
  • No of Pages: 592
  • Width: 899.999 mm
  • ISBN-10: 9355424221
  • Publisher Date: 11 Jul 2023
  • Edition: First Edition
  • Language: English
  • Weight: 177.8 gr


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Linear Algebra: Theory, Intuition, Code (Greyscale Indian Edition)
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