Algorithms with JULIA

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

Written at an introductory level Using JULIA on a non-trivial application level Includes discussion of JULIA as an open-source alternative for MATLAB

Autorentext

Clemens Heitzinger is Associate Professor at the TU Vienna.

Inhalt
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.