Linear algebra and optimization with applications to machine learning. Volume 1, Linear algebra for computer vision, robotics, and machine learning / Jean Gallier, Jocelyn Qqaintance.

Format:

Book

Author/Creator:

Gallier, Jean H., author.

Quaintance, Jocelyn, author.

Language:

English

Subjects (All):

Algebras, Linear--Data processing.

Algebras, Linear.

Computer science--Mathematics.

Computer science.

Computer-aided design.

Robotics.

Computer-Aided Design.

computer-aided designs (visual works).

Medical Subjects:

Computer-Aided Design.

Robotics.

Physical Description:

xv, 806 pages : illustrations (some colour) ; 24 cm

Other Title:

Linear algebra for computer vision, robotics, and machine learning

Place of Publication:

Singapore : World Scientific Publishing Co. Pte. Ltd., [2020]

Summary:

"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." -- Provided by publisher.

Notes:

Includes bibliographical references and index.

ISBN:

9789811206399

9811206392

9789811207716

9811207712

OCLC:

1100783034

Publisher Number:

90104329935