Local cover image
Local cover image
Amazon cover image
Image from Amazon.com

Linear algebra and optimization with applications to machine learning, Vol I: linear algebra for computer vision, robotics, and machine learning

By: Contributor(s): Material type: TextTextPublication details: World Scientific Publishing 2023 New JerseyDescription: xv, 806 p. : ill. Includes bibliographical references and indexISBN:
  • 9781944660345
Subject(s): DDC classification:
  • 512.5 G2L4
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. https://www.worldscientific.com/worldscibooks/10.1142/11446#t=aboutBook
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Item location Collection Shelving location Call number Status Date due Barcode
Books Vikram Sarabhai Library Rack 28-A / Slot 1362 (0 Floor, East Wing) Non-fiction General Stacks 512.5 G2L4 (Browse shelf(Opens below)) Available 206960

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.


https://www.worldscientific.com/worldscibooks/10.1142/11446#t=aboutBook

There are no comments on this title.

to post a comment.

Click on an image to view it in the image viewer

Local cover image