Julia implementation of the Euler's explicit and implicit methods for solving first order differential equations.
-
Updated
Mar 20, 2014 - Julia
Julia is a high-level dynamic programming language designed to address the needs of high-performance numerical analysis and computational science. It provides a sophisticated compiler, distributed parallel execution, numerical accuracy, and an extensive mathematical function library.
Julia implementation of the Euler's explicit and implicit methods for solving first order differential equations.
Supplementary code and Jupyter notebooks for publication: Bounded rationality, abstraction and hierarchical decision-making: an information-theoretic optimality principle
Calculate Friedman formulas for large random numbers; attempt to prove that a large random number is a Friedman number
A collection of numerical algorithms for Julia.
Simple, yet playful, artificial neural network implementation for Julia language
tiny games or game simulations
A command line interface to Julia's package manager functions
Notebooks de Julia, Python o R
Mendlbrot/Julia
UNMAINTAINED! Use https://github.com/bicycle1885/CodecZstd.jl instead
Julia doodles for generating images compliant with the rules of allRGB.com
A futuristic crypto library. In Julia. [OLD]
Fract'ol @ 42 - multi-threaded fractal renderer
Created by Jeff Bezanson, Stefan Karpinski, Viral B. Shah, Alan Edelman
Released February 14, 2012