Deriving the convex hull of a polynomial partitioning set through lifting and projection∗
نویسندگان
چکیده
Relaxations of the bilinear term, x1x2 = x3, play a central role in constructing relaxations of factorable functions. This is because they can be used directly to relax products of functions with known relaxations. In this paper, we provide a compact, closed-form description of the convex hull of this and other more general bivariate monomial terms (which have similar applications in relaxation constructions) in the space of the original variables assuming that the variables and the monomial are restricted to lie in a hyperrectangle. This description is obtained as an intersection of convex hulls of related packing, x1x b2 2 ≤ x3, and covering, x b1 1 x b2 2 ≥ x3, sets, where b1 and b2 are constants greater than or equal to one. The convex hull of each packing/covering set is first obtained as an intersection of semi-infinite families of linear inequalities, each derived using lifting techniques. Then, each family is projected into a few linear/nonlinear inequalities which are fully characterized in the space of the original problem variables.
منابع مشابه
Modelling Decision Problems Via Birkhoff Polyhedra
A compact formulation of the set of tours neither in a graph nor its complement is presented and illustrates a general methodology proposed for constructing polyhedral models of decision problems based upon permutations, projection and lifting techniques. Directed Hamilton tours on n vertex graphs are interpreted as (n-1)- permutations. Sets of extrema of Birkhoff polyhedra are mapped to tours ...
متن کاملSweep Line Algorithm for Convex Hull Revisited
Convex hull of some given points is the intersection of all convex sets containing them. It is used as primary structure in many other problems in computational geometry and other areas like image processing, model identification, geographical data systems, and triangular computation of a set of points and so on. Computing the convex hull of a set of point is one of the most fundamental and imp...
متن کاملA polyhedral study of multilinear programs with box constraints
We study the polyhedral convex hull of a mixed-integer set S defined by a collection of multilinear equations of the form yI = ∏ i∈I xi over the 0−1-cube. Such sets appear frequently in the factorable reformulation of mixed-integer nonlinear optimization problems. In particular, the set S represents the feasible region of a linearized unconstrained zeroone polynomial optimization problem. We de...
متن کاملSome Results on facets for linear inequality in 0-1 variables
The facet of Knapsack ploytope, i.e. convex hull of 0-1 points satisfying a given linear inequality has been presented in this current paper. Such type of facets plays an important role in set covering set partitioning, matroidal-intersection vertex- packing, generalized assignment and other combinatorial problems. Strong covers for facets of Knapsack ploytope has been developed in the first pa...
متن کاملA Polyhedral Study of Binary Polynomial Programs
We study the polyhedral convex hull of a mixed-integer set S defined by a collection of multilinear equations of the form yI = ∏ i∈I xi over the 0−1-cube. Such sets appear frequently in the factorable reformulation of mixed-integer nonlinear optimization problems. In particular, the set S represents the feasible region of a linearized unconstrained binary polynomial optimization problem. We def...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2014