mjzhu-p

Mengjia Zhu's repositories

PWAS

Global and Preference-based Optimization with Mixed Variables using Piecewise Affine Surrogates (PWAS/PWASp)

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CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python or Matlab/Octave.

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edbo

Experimental Design via Bayesian Optimization_test

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mjzhu-p.github.io

Personal webpage

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nlopt

library for nonlinear optimization, wrapping many algorithms for global and local, constrained or unconstrained, optimization

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olympus