We present an implementable algorithm for solving constrained optmization problems defined by functions that are not everywhere differentiable. The method is based on combining, modifying and ...

Via the neighborhoods and elements, we define the scalarization functions for locally convex cones and discuss their properties. We consider the scalar optimization problems and obtain some results ...

Analytics software leader FICO today announced the release of a true global mathematical optimization solver as part of FICO® Xpress 9.2 Optimization.

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 ...

Optimization Test Problems The functions listed below are some of the common functions and datasets used for testing optimization algorithms. They are grouped according to similarities in their ...

Quantum computers of the future hold promise for solving complex problems more quickly than ordinary computers. For example, they can factor large numbers exponentially faster than classical ...

To solve an optimization problem you need to do the following: Find a function of one variable that models the situation described in the given problem. Use the Calculus tools to find the critical ...