Python for Random Matrix Theory: cleaning schemes for noisy correlation matrices.
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Updated
Feb 5, 2018 - Python
Python for Random Matrix Theory: cleaning schemes for noisy correlation matrices.
pyHarmonySearch is a pure Python implementation of the harmony search (HS) global optimization algorithm.
A pyTorch Extension for Applied Mathematics
Exact Matrix Completion via Convex Optimization
AI4Science: Efficient data-driven Online Model Learning (OML) / system identification and control
Rare events simulation on a football championship in Python
A review of HAVOK and Reservoir computing for chaotic dynamics forecast
Implementation of multiple metaheuristics.
This repo contains code for Applied numerical methods that are taught in engineering undergrad degrees.
A repo of ITMO University's Applied Maths laboratory works
Gives an animated approximation of pi with pseudo random numbers
Gauss-Newton solver implemented from scratch.
Frequentist Sequential A/B Testing using Random Walks
Applied Mathematics(Numerical Methods or Numerical Analysis) TW324.
Dynlab is a python package to make dynamical systems analysis faster and easier, by providing practitioners prebuilt modules for calculating common diagnostics.
Creation of figures for papers pertaining to the MUD (Maximal Updated Density) method for Parameter Estimation.
Modeling Heat Conduction with Two-Dissipative Variables: A Mechanism-Data Fusion Method
This is a warehouse storing my codes that can implement algorithms in mathematics, applied mathematics and statistics.
Write a program that receives an input with a permutation μ of [n] in the list format from natural numbers separated by the space character (eg 7 10 9 11 2 1 3 5 6 8 4) and prints some properties of the permutation μ.
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