Algorithms with Julia: Optimization, Machine Learning, and Differential Equations Using the Julia Language

By Clemens Heitzinger

Includes an in-depth discussion of Julia for the purposes of scientific/technical computing as an open-source alternative for MATLAB
One of the first books about scientific/technical computing using
Julia at a non-trivial application level
Written at an introductory level
Focuses on applications which may be a bit more advanced than what is typically found in books on scientific computing, but which are immediately useful nowadays.
Enables the reader to solve more modern, complicated problems

• Format: Hardcover
• Language: English
• ISBN: 3031165594
• ISBN13: 9783031165597
• Release Date: December 2022
• Publisher: Springer
• Length: 439 Pages
• Weight: 2.00 lbs.
• Dimensions: 0.7" x 6.0" x 9.1"