funsat
cmaes
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funsat | cmaes | |
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- | 3 | |
35 | 30 | |
- | - | |
0.0 | 0.0 | |
almost 9 years ago | almost 2 years ago | |
Groff | Rust | |
BSD 3-clause "New" or "Revised" License | Apache License 2.0 |
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funsat
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Tracking mentions began in Dec 2020.
cmaes
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[ANN] cmaes v0.2.0: An implementation of the CMA-ES optimization algorithm
cmaes is an implementation of the CMA-ES black box numerical optimization algorithm. It's especially suited to solving high-dimension, non-linear, non-convex, ill-conditioned, and/or noisy problems.
- [ANN] cmaes 0.1: An implementation of the CMA-ES optimization algorithm
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Looking for an efficient algorithm that will test out a huge array set and return the maximum solution
If your function is truly black box then you can use a black box optimization algorithms (note that they likely will not be as good since they make less asumptions on the problem) such as the one provided by argmin or my own simplers_optimization (amongst others). The CMA-ES algorithm has a very good reputation for those use cases but I only found one implementation in Rust and it is not on crates.io.
What are some alternatives?
incremental-sat-solver - Simple, Incremental SAT Solving as a Haskell Library
argmin - Numerical optimization in pure Rust
graph-generators - A Haskell library for creating random Data.Graph instances using several pop
ersatz - A monad for interfacing with external SAT solvers
Ritt-Wu
iproute - IP Routing Table in Haskell
twentyseven - Rubik's cube solver in Haskell
pell - Haskell Package to solve the Generalized Pell Equation
binary-search - Binary and exponential searches
Peroxide - Rust numeric library with R, MATLAB & Python syntax
build - Build Systems à la Carte
keyboard_layout_optimizer - A keyboard layout optimizer supporting multiple layers. Implemented in Rust.