We propose a new trust region algorithm for nonlinear constrained optimization problems. In each iteration of our algorithm, the trial step is computed by minimizing a quadratic approximation to the ...

Implicit Hitting Set Algorithms for Constraint Optimization Computationally hard optimization problems are commonplace not only in theory but also in practice in many real-world domains. Even ...

Xiaoying Zhang, Yumei Huang, ON BLOCK PRECONDITIONERS FOR PDE-CONSTRAINED OPTIMIZATION PROBLEMS, Journal of Computational Mathematics, Vol. 32, No. 3 (May 2014), pp. 272-283 ...

The researchers also considered an extension of the STSP that includes time windows for simultaneous pickups and deliveries, creating a more realistic and challenging problem. The core method involves ...

Nonetheless, designing a drug product formulation that achieves the desired properties of the target profile both in magnitude and robustness is a multi-dimensional, and generally, constrained ...

Did you consider yourself a mathematician the last time you sat down to solve a Sudoku puzzle? It’s certainly a mentally ...