LINR ALGEBRA & OPTIM APPL (V1): Linear Algebra for Computer Vision, Robotics, and Machine Learning - Softcover

Gallier Jean

 
9789811207716: LINR ALGEBRA & OPTIM APPL (V1): Linear Algebra for Computer Vision, Robotics, and Machine Learning
Softcover
ISBN 10: 9811207712 ISBN 13: 9789811207716
Verlag: World Scientific, 2020

Inhaltsangabe

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.

Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.

Verlag
World Scientific
Erscheinungsdatum
2020
Sprache
Englisch
ISBN 10 
9811207712
ISBN 13 
9789811207716
Einband
Taschenbuch
Anzahl der Seiten
824
Kontakt zum Hersteller
Nicht verfügbar
Verantwortliche Person
preigu
mail@preigu.de

Lengericher Landstr. 19
Osnabrück
49078
Deutschland

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9789811206399: LINR ALGEBRA & OPTIM APPL (V1): Linear Algebra for Computer Vision, Robotics, and Machine Learning

Vorgestellte Ausgabe

ISBN 10:  9811206392 ISBN 13:  9789811206399
Verlag: World Scientific, 2020
Hardcover