Linear Algebra And Optimization With Applications To...

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Jean H Gallier (Univ Of Pennsylvania, Usa) Jocelyn Quaintance (Univ Of Pennsylvania, Usa)

Linear Algebra And Optimization With Applications To Machine Learning - Volume I

Linear Algebra For Computer Vision, Robotics, And Machine Learning

Jean H Gallier (Univ Of Pennsylvania, Usa), Jocelyn Quaintance (Univ Of Pennsylvania, Usa)

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Hardback

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English

World Scientific Publishing Co Pte Ltd
22 January 2020

Algebra; Maths for computer scientists; Machine learning; Computer vision

Summary
Details

This book provides the mathematical fundamentals of linear algebra to practicers in computer vision, machine learning, robotics, applied mathematics, and electrical engineering. By only assuming a knowledge of calculus, the authors develop, in a rigorous yet down to earth manner, the mathematical theory behind concepts such as: vectors spaces, bases, linear maps, duality, Hermitian spaces, the spectral theorems, SVD, and the primary decomposition theorem. At all times, pertinent real-world applications are provided. This book includes the mathematical explanations for the tools used which we believe that is adequate for computer scientists, engineers and mathematicians who really want to do serious research and make significant contributions in their respective fields.

By: Jean H Gallier (Univ Of Pennsylvania Usa), Jocelyn Quaintance (Univ Of Pennsylvania, Usa)
Imprint: World Scientific Publishing Co Pte Ltd
Country of Publication: Singapore
ISBN: 9789811206399
ISBN 10: 9811206392
Pages: 824
Publication Date: 22 January 2020
Audience: College/higher education , Professional and scholarly , Primary , Undergraduate
Format: Hardback
Publisher's Status: Active