Modern Fortran Refactoring of L-BFGS-B Nonlinear Optimization Code

• UpdatedMar 19, 2025
• Fortran

Implementation of nonlinear Optimization Algorithms in Python

• UpdatedFeb 15, 2022
• Python

Implementation of the BFGS algorithm in C++.

• UpdatedMar 27, 2025
• C++

This is an implementation of different optimization algorithms such as: - Gradient Descent (stochastic - mini-batch - batch) - Momentum - NAG - Adagrad - RMS-prop - BFGS - Adam Also, most of them are implemented in vectorized form for multi-variate problems

• UpdatedApr 3, 2023
• Jupyter Notebook

Jupyter notebooks, scripts, and results associated with the paper Visualization of Optimization Algorithms by Marco Morais (Morais, 2020).

• UpdatedNov 6, 2022
• Jupyter Notebook

Contains a mathematical optimization project implemented in Python

• UpdatedFeb 20, 2024
• Python

Convex, Nonsmooth, Nonlinear Optimization Solver and Problems

• UpdatedMay 6, 2024
• Julia

Logistic regression on COVID-19 data using BFGS algorithm

• UpdatedJun 11, 2021
• Python

Linear-Parabolic-Expotential-Logarithmic

• UpdatedNov 30, 2023
• Jupyter Notebook

Implemented optimization algorithms, including Momentum, AdaGrad, RMSProp, and Adam, from scratch using only NumPy in Python. Implemented the Broyden-Fletcher-Goldfarb-Shanno (BFGS) optimizer and conducted a comparative analysis of its results with those obtained using Adam.

• UpdatedMay 18, 2023
• Jupyter Notebook

• UpdatedAug 6, 2022
• Jupyter Notebook

Binary Logistic Regression Analysis using the Broyden-Fletcher-Goldfarb-Shanno Algorithm on the Quasi-Newton Method

• UpdatedNov 6, 2025
• R

R code implementing BFGS Quasi-Newton Minimization Method

• UpdatedJan 19, 2023
• R

• UpdatedAug 1, 2022
• HTML

R function bfgs( ) implementing the BFGS quasi-Newton minimization method

• UpdatedJan 18, 2025
• R

A library for spectral line-shape analysis.

• UpdatedAug 31, 2024
• Zig

Pomodoro: Progressive Decomposition Methods with Acceleration

• UpdatedDec 12, 2021
• C++

Capstone project for CH5150 exploring determinisitic and evolutionary algorithms to optimise problems in chemical engineering.

• UpdatedNov 9, 2024
• Jupyter Notebook

This project summarizes the learning process of optimization methods, attempting to start from the original mathematical formulas and write Python code to understand the principles of the methods.

• UpdatedMay 26, 2024
• Jupyter Notebook