000 01473nam a22001937a 4500
005 20241114205431.0
008 241114b |||||||| |||| 00| 0 eng d
020 _a9781944660345
082 _a512.5
_bJEA
100 _aJean Gallier
_918299
245 _aLinear algebra and optimization with applications to machine learning:
_blinear algebra for computer vision, robotics, and machine learning
260 _bWorld Scientific Publishing
_aSingapore
_c2023
300 _axv, 806 p.
365 _aINR
_b2995.00
520 _aThis 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. (https://www.worldscientific.com/worldscibooks/10.1142/11446#t=aboutBook)
650 _aAlgebras, Linear
700 _aQuaintance, Jocelyn
_918663
942 _cBK
_2ddc
999 _c7764
_d7764