Description

Book Synopsis
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.

Linear Algebra And Optimization With Applications

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£162.00

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Order before 4pm today for delivery by Thu 22 Jan 2026.

A Hardback by Jean H Gallier, Jocelyn Quaintance

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    View other formats and editions of Linear Algebra And Optimization With Applications by Jean H Gallier

    Publisher: World Scientific Publishing Co Pte Ltd
    Publication Date: 07/02/2020
    ISBN13: 9789811206399, 978-9811206399
    ISBN10: 9811206392
    Also in:
    Computer vision Machine learning Maths for computer scientists

    Description

    Book Synopsis
    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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