Linear Algebra and Optimization With Applications to Machine Learning : Volume I Linear Algebra for Computer Vision Robotics and Machine Learning / by Jean Gallier And Jocelyn Quaintance, World Scientific India

By:

Gallier, Jean H

Contributor(s):

Quaintance, Jocelyn

Material type: Text

TextLanguage: English Publication details: Singapore : World Scientific Publishing Co. Pte. Ltd., 2020.Description: xv, 806 pages : illustrations (some colour) ; 24 cmISBN:

9781944660345

Subject(s):

DDC classification:

23 512.58285 GAL

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Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode
General Books	CUTN Central Library Sciences	Non-fiction	512.58285 GAL (Browse shelf(Opens below))	Available		46874

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.

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