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 ...

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 ...

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 ...

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 ...

general linearly constrained or nonlinearly constrained problems A slightly modified version of Powell's (1992) COBYLA (Constrained Optimization BY Linear Approximations) implementation is used.

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

Examples of such an optimization problem include finding capacity in information theory, finding least favorable distributions in statistics and finding best and worst case arrival times in queuing ...