concave function convex set
Models - Operations Research Models and Methods.
optimization - Maximizing a convex function (minimizing a concave.
If f() is a function of one variable and is single-peaked, then f() is quasi-concave. If f() is quasi-concave, then its upper level sets are convex sets. The level curves.
P Benson which can be found in the paper quot; A Branch and Bound-Outer Approximation Algorithm for Concave Minimization over a Convex Set" Function for.
The current definition uses a concave set. This makes no sense. Both convex and concave functions are.
Talk:Concave function - Wikipedia, the free encyclopedia.
concave function convex set
Is the uniform distribution over a convex set log convex or log.A method for globally minimizing concave functions over convex sets.
A method for globally minimizing concave functions over convex sets. whose solutions minimize the convex envelope of the original function over successively.
Dec 30, 2012. Essentially, what you're looking for is minimizing a concave function over a convex polytope (or convex polyhedron). A quick search pulled up a.
Exercises on convexity and concavity for functions of many variables.
The Structure of Applied and General Equilibrium Models - Google Books Result.
A method for globally minimizing concave functions over convex sets. whose solutions minimize the convex envelope of the original function over successively.
Dec 30, 2012. Essentially, what you're looking for is minimizing a concave function over a convex polytope (or convex polyhedron). A quick search pulled up a.
When a straight line is drawn between any two points on a convex function, the. In multiple dimensions a concave function has the following property.. If the objective function is a convex and the feasible region defines a convex set, every.