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Quant Notes ⭐ 101

Quantitative Interview Preparation Guide, updated version here ==>

Pybobyqa ⭐ 64

Python-based Derivative-Free Optimization with Bound Constraints

Gcmma Mma Python ⭐ 63

Python implementation of the Method of Moving Asymptotes (MMA)

Rcppnumerical ⭐ 53

Rcpp Integration for Numerical Computing Libraries

Nagpythonexamples ⭐ 52

Examples and demos showing how to call functions from the NAG Library for Python

Modern Fortran Numerical Differentiation Library

Numerical Optimization Books ⭐ 43

Collected study materials in Numerical Optimization ANU@MATH3514(HPC)

Numerics Notes ⭐ 40

Slides/notes and Jupyter notebook demos for an introductory course of numerical analysis/scientific computing

NOSNOC is an open source software package for NOnSmooth Numerical Optimal Control.

Quantumcontrol.jl ⭐ 39

Julia Framework for Quantum Dynamics and Control

Optimization ⭐ 39

Some numerical optimization methods implemented in Haskell

Python-based Derivative-Free Optimizer for Least-Squares

Framework and implementation for mathematical optimization and solving non-linear systems of equations.

Functions, examples and data from the first and the second edition of "Numerical Methods and Optimization in Finance" by M. Gilli, D. Maringer and E. Schumann (2019, ISBN:978-0128150658). This repository mirrors https://gitlab.com/NMOF/NMOF .

First-order optimization tools

Why Train When You Can Optimize ⭐ 24

Learn multi-variable optimization by creating a drawing assistant. No deep learning required!

DFO-GN: Derivative-Free Optimization using Gauss-Newton

Fenics Topopt ⭐ 13

Topology optimization with finite element analysis in FEniCS. Final project for CSCI-GA.2420: Numerical Methods II at New York University.

Gurobilink ⭐ 12

Wolfram Language interface to the Gurobi numerical optimization library

A Python environment for large-scale optimization.

A simple implementation of SPSA with automatic learning rate tuning

Dt Qp Project ⭐ 10

This project solves linear-quadratic dynamic optimization (LQDO) problems using direct transcription (DT) and quadratic programming (QP)

Simulated Annealing Optimization Algorithm ⭐ 7

Julia code for general simulated annealing optimization algorithm. The code can find the global maximum (or minimum) of a multi-modal function of continuous variables.

Portfolio optimization package in Python.

Intro Sci Computing ⭐ 5

UW AMATH 301. Scientific computing and numerical methods for physical, biological, and engineering problems. Topics include root-finding, optimization, curve fitting, solving linear systems, singular value decomposition (SVD, PCA), numerical differentiation and integration, solving first-order and higher order ODEs, stability and stiffness of ODEs, phase portraits, chaotic systems, and Fourier transform.

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