-
prima
PRIMA is a package for solving general nonlinear optimization problems without using derivatives. It provides the reference implementation for Powell's derivative-free optimization methods, i.e., COBYLA, UOBYQA, NEWUOA, BOBYQA, and LINCOA. PRIMA means Reference Implementation for Powell's methods with Modernization and Amelioration, P for Powell.
-
InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
The developer of PRIMA here.
If you use method "cobyla" from scipy.optimize.minimize, then PRIMA already performs far better (in terms of the number of function evaluations). See the comparison at https://github.com/libprima/prima#improvements .
The bugs are indeed only a secondary reason: they can only be triggered under special situations. They may not affect your usage at all (when it does affect you, the consequence is catastrophophic).
Related posts
-
Nagfor supports half-precision floating-point numbers
-
PRIMA: Solving general nonlinear optimization problems without derivatives
-
Optimization Without Using Derivatives: the PRIMA Package, its Fortran Implementation, and Its Inclusion in SciPy - Announcements
-
Optimization Without Derivatives: Prima Fortran Version and Inclusion in SciPy
-
PennyLane: Python library for differentiable programming of quantum computers