This paper presents three algorithms for solving linear programming problems in which some or all of the objective function coefficients are specified in terms of intervals. Which algorithm is ...

In linear programming, the objective function is the function that it is desired to maximize or minimize. The human interaction equivalent is what matters most. Agreement on that, and on the steps to ...

This is a preview. Log in through your library . Abstract This paper presents an algorithm, based on the simplex routine, that provides a way to solve a problem in which the objective function is not ...

At its WWDC developer event today, Apple surprised all of the developers in the audience by launching a new programming language called Swift. This new language seems to be poised to replace Objective ...

can be solved by solving an equivalent linear complementarity problem when H is positive semidefinite. The approach is outlined in the discussion of the LCP subroutine in Chapter 17, "Language ...

A routine written in IML to solve this problem follows. The approach appends slack, surplus, and artificial variables to the model where needed. It then solves phase 1 to find a primal feasible ...

Industrial organizations are racing to implement AI, yet many struggle to demonstrate concrete value from their investments. The missing element isn't better algorithms or more data; it's clarity ...

Community driven content discussing all aspects of software development from DevOps to design patterns. If you want to master functional programming, the best place to start is with the Java Function ...