
Overview and History
... if we wanted to write a program to solve Sudoku puzzles, must/should it use the same strategies? ...
... if we wanted to write a program to solve Sudoku puzzles, must/should it use the same strategies? ...
Proximity Inversion Functions on the Non
... We would like to generalize the results of this approach, so it can be used to solve different constraint problems. In particular, can all metric space BSPs be solved this way? If not, what are the necessary and sufficient conditions on the distance constraints for such a solution to exist? ...
... We would like to generalize the results of this approach, so it can be used to solve different constraint problems. In particular, can all metric space BSPs be solved this way? If not, what are the necessary and sufficient conditions on the distance constraints for such a solution to exist? ...
Reliable Space Pursuing for Reliability-based Design Optimization with Black-box Performance Functions
... MPP, however, is not easy to find by directly using Eq. (3). An iterative numerical process is required, either be it ...
... MPP, however, is not easy to find by directly using Eq. (3). An iterative numerical process is required, either be it ...
Mathematical optimization

In mathematics, computer science and operations research, mathematical optimization (alternatively, optimization or mathematical programming) is the selection of a best element (with regard to some criteria) from some set of available alternatives.In the simplest case, an optimization problem consists of maximizing or minimizing a real function by systematically choosing input values from within an allowed set and computing the value of the function. The generalization of optimization theory and techniques to other formulations comprises a large area of applied mathematics. More generally, optimization includes finding ""best available"" values of some objective function given a defined domain (or a set of constraints), including a variety of different types of objective functions and different types of domains.