Python code for generating and running nonconservative variational integrators
-
Updated
Feb 7, 2017 - Jupyter Notebook
Python code for generating and running nonconservative variational integrators
Provides stream classes inspired by Scheme and abstracts the concept to other abstract data types.
Basic tools to run groups of jobs in an easy way.
Stop Writing Bad Science Code
Dissipative Grover's algorithm continuous simulation
Perform trivially parallelizable tasks over an argument space and take care of IO
Ansible role to install numpy for Python
A Java package for scientific computing
Utilities for fast stencil computations
A series of problems solved using finite difference methods, implemented in Python.
Affine arithmetic using sparse vector storage of coefficients
Projekat za kurs: Naučno izračunavanje
Algorithms for Doubly stochastic scaling of non-negative matrices
➗ Powerful math library for Deno (WIP)
My notes and implementation of different numerical optimization algorithms.
Знакомство с вычислительной математикой - 2019
A suit of utilites for processing geo-dataset.
An analysis of the human body's limitations against velociraptor pursuers, and how to mitigate these limitations.
A Julia package that can calculate the isentropic geotherm from thermodynamic properties
A library and a set of example codes for combining inter-node load balancing capability in Charm++ with my intra-node loop scheduling strategies.
Add a description, image, and links to the scientific-computing topic page so that developers can more easily learn about it.
To associate your repository with the scientific-computing topic, visit your repo's landing page and select "manage topics."