hiroyuki-kasai/SGDLibrary
MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20
This library provides a collection of stochastic optimization algorithms to help researchers and practitioners solve complex unconstrained minimization problems. It takes mathematical problem definitions and applies various optimization techniques to find the best possible solution. This is ideal for scientists, engineers, and data analysts working on machine learning, signal processing, or other fields requiring efficient numerical optimization in MATLAB or Octave.
225 stars. No commits in the last 6 months.
Use this if you need to quickly implement and test different stochastic optimization algorithms in MATLAB or Octave to find solutions for complex problems with large datasets.
Not ideal if you are not working with MATLAB or Octave, or if your optimization problem is constrained rather than unconstrained.
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225
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85
Language
MATLAB
License
MIT
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Last pushed
May 11, 2023
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