Algorithms with JULIA : optimization, machine learning, and differential Equations using the JULIA language

Algorithms with JULIA : optimization, machine learning, and differential Equations using the JULIA language / Clemens Heitzinger.

This book provides an introduction to modern topics in scientific computing and machine learning, using JULIA to illustrate the efficient implementation of algorithms. In addition to covering fundamental topics, such as optimization and solving systems of equations, it adds to the usual canon of com...

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Bibliographic Details
Main Author: Heitzinger, Clemens
Format: eBook
Language:English
Published: Cham : Springer, 2022.
Subjects:
Computer algorithms.
Julia (Computer program language)
algorithms.
Algoritmos computacionales
JULIA (Lenguaje de programación)
Mathematical analysis
Numerical analysis
Online Access:Click for online access
Table of Contents:
  • An Introduction to the Julia Language
  • Functions
  • Variables, Constants, Scopes, and Modules
  • Built-in Data Structures
  • User Defined Data Structures and the Type System
  • Control Flow
  • Macros
  • Arrays and Linear Algebra
  • Ordinary Differential Equations
  • Partial-Differential Equations
  • Global Optimization
  • Local Optimization
  • Neural Networks
  • Bayesian Estimation.

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