C++ library [machine learning & numerical optimization] - superseeded by libnano
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Updated
Feb 13, 2019 - C++
C++ library [machine learning & numerical optimization] - superseeded by libnano
oomph-lib is an object-oriented, open-source finite-element library for the simulation of multi-physics problems. It is developed and maintained by Matthias Heil and Andrew Hazel of the School of Mathematics at The University of Manchester, along with many other contributors.
I decided to upload all the code I've been writing for my bachelor thesis to have it accessible from anywhere and stored somewere safe.
Nonlinear unconstrained optimization solver created for ISE 520
Naive implementation of popular stochastic optimizers
Open source C++ simulated annealing utility
A New Gradient Decent Algorithm with Secant Method Scaling and Finite Difference Derivatives. Faster, Smarter and Versatile
Linearized multi-dimensional vectors with a simple syntax
A small gradient descent optimizer lib with different line search algorithms
Square root function implementation in various languages.
Numerical optimization library in C++.
Implementations of numerical methods
A proximal bundle method for minimizing a sum of functions. Proximal steps for subfunctions are computed with a multi plane block coordinate Frank-Wolfe method.
Different type of solvers to solve systems of nonlinear equations
Research library for compile time optimization
A C++ Framework for Evolutionary Single-Objective Optimization Benchmarking
High performance optimization algorithm for nonconvex systems based on random tree search
A fast implementation of probabilities, using log-probabilities
C++ numerical optimization and machine learning utilities using Eigen3
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