The global optimization solver gives users a better way to tackle complex nonlinear problems in energy, pricing optimization and many other fields, and can offer guarantees about the performance of ...

Xiaoning Xu, Feng He, Rong Chen, Qingzhi Zhang, Solving non-linear portfolio optimization problems with interval analysis, The Journal of the Operational Research Society, Vol. 66, No. 6 (JUNE 2015), ...

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

On the other hand, the introduction of nonlinear activation functions enables HOLO's optimization method to better address non-convex optimization problems.

No algorithm for optimizing general nonlinear functions exists that always finds the global optimum for a general nonlinear minimization problem in a reasonable amount of time. Since no single ...

The authors' optimization procedures stem from Lagrangian methods for approaching nonlinear problems, and demonstrate an efficient, exact means of calculating the shape derivative of the cost ...

A line of engineering research seeks to develop computers that can tackle a class of challenges called combinatorial ...

The global optimization solver gives users a better way to tackle complex nonlinear problems in energy, pricing optimization and many other fields, and can offer guarantees about the performance ...