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Linear algebra and optimization with applications to machine learning (Volume 1) : linear algebra for computer vision, robotics, and machine learning / Jearn Gallier and Jocelyn Quaintance

By:

Gallier, Jean

Contributor(s):

Quaintance, Jocelyn

Material type: Text

TextPublication details: India World Scientific 2023Description: 806pISBN:

9781944660345

Subject(s):

DDC classification:

512.50285 GAL-J

Average rating: 0.0 (0 votes)

Holdings
Item type	Current library	Collection	Shelving location	Call number	Copy number	Status	Date due	Barcode	Item holds
Books	BITS Pilani Hyderabad	510	General Stack (For lending)	512.50285 GAL-J (Browse shelf(Opens below))	INR 2,895.00	Available		47345

Total holds: 0

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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