BFO, a trainable derivative-free Brute Force Optimizer for nonlinear bound-constrained optimization and equilibrium computations with continuous and discrete variables

Margherita Porcelli, Philippe Toint

Research output: Contribution to journal › Article › peer-review

20 Downloads (Pure)

Fingerprint

Dive into the research topics of 'BFO, a trainable derivative-free Brute Force Optimizer for nonlinear bound-constrained optimization and equilibrium computations with continuous and discrete variables'. Together they form a unique fingerprint.

Mathematics

Engineering & Materials Science