- Nelder–Mead method - Wikipedia
Nelder-Mead optimization in Python in the SciPy library nelder-mead - A Python implementation of the Nelder–Mead method NelderMead () - A Go Golang implementation SOVA 1 0 (freeware) Archived 2013-06-06 at the Wayback Machine - Simplex Optimization for Various Applications
- Nonlinear programming - Wikipedia
NLopt (C C++ implementation, with numerous interfaces including Julia, Python, R, MATLAB Octave), includes various nonlinear programming solvers SciPy (de facto standard for scientific Python) has scipy optimize solver, which includes several nonlinear programming algorithms (zero-order, first order and second order ones)
- Limited-memory BFGS - Wikipedia
Limited-memory BFGS (L-BFGS or LM-BFGS) is an optimization algorithm in the collection of quasi-Newton methods that approximates the Broyden–Fletcher–Goldfarb–Shanno algorithm (BFGS) using a limited amount of computer memory [1] It is a popular algorithm for parameter estimation in machine learning [2][3] The algorithm's target problem is to minimize over unconstrained values of the
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