One of the main reasons is that many loss functions are too sensitive to sample points far from their classes. In this paper, ...

optimagic is a Python package for numerical optimization. It is a unified interface to optimizers from SciPy, NlOpt and other packages. optimagic's minimize function works just like SciPy's, so you ...

CasADi is a symbolic framework for numeric optimization implementing automatic differentiation ... It can be used from C++, Python or Matlab/Octave.

Abstract: We propose two new algorithms for solving quadratically constrained quadratic programming (QCQP) problems arising from real-time optimization based control such as model predictive control ...

The program help participating laboratories to synchronize their procedures and enable them to see how their local performance of a given assay compares relative to other participants' using the same ...

PhD students and postdoctoral researchers: Students and postdoctoral researchers who are interested to join my research group at the Chinese University of Hong Kong, Shenzhen in China and at the ...

Motivated by the smoothing approaches, we modify the classical bi-level gradient sequential averaging method to solve the bi-level optimization problem. Under some mild conditions, we obtain the ...