01567nam a22002297a 4500
231010b2023 |||||||| |||| 00| 0 eng d
9781944660345
512.50285 GAL-J
Gallier, Jean
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
India
World Scientific
2023
806p.
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
Robotics
Algebras, Linear--Data processing
Computer science--Mathematics
Computer-aided design
Machine learning
Algebras, Linear
Computer vision
Quaintance, Jocelyn
0
0
ddc
0
512_502850000000000_GALJ
0
MATH
107236
BITH
BITH
GEN
2023-10-10
0
512.50285 GAL-J
47345
2023-10-10
2023-10-10
BKK
90977
90977