AbstractWe study the representation of (possibly) nonlinear functions which may appear in the constraints, as well as in the objective function, of a mixed-integer optimization problem.The set of functions which have representations for constraints is a strict subset of those functions which have representation for objectives. The focus of our work here is to delineate the additional requirements for constraint representation, which go beyond objective function representation.In the case that a representation can be achieved using only linear constraints with bounded integer variables, we achieve characterization results (Theorem 3.1 and 3.2). This paper is a continuation of [17]
Abstract. We consider the following classes of nonlinear programming problems: the minimization of s...
Various kinds of optimization problems involve nonlinear functions of binary variables that exhibit ...
We introduce the concept of partially strictly monotone functions and apply it to construct a class ...
AbstractWe study the representation of (possibly) nonlinear functions which may appear in the constr...
AbstractWe define the concept of a representation of a set of either linear constraints in bounded i...
We consider the question of which nonconvex sets can be represented exactly as the feasible sets of ...
AbstractIn an earlier report the concept of a mixed integer minimization model (MIMM) was defined an...
We view mixed integer/linear problem formulation as a process of identifying disjunctive and knapsac...
The non-linear programming problem seeks to maximize a function f(x) where the n component vector x ...
We develop explicit, piecewise-linear formulations of functions f(x):ℝn{mapping}ℝ, n ≤ 3, that are d...
AbstractIn this paper we are concerned with characterizing minimal representation of feasible region...
A mixed-integer program is an optimization problem where one is required to minimize a linear functi...
AbstractThis paper is concerned with the generation of tight equivalent representations for mixed-in...
Quite often modelers with constraint programming (CP) use the same modelling patterns for different...
AbstractIt is shown that any bounded integer linear programming problem can be trans- formed to an e...
Abstract. We consider the following classes of nonlinear programming problems: the minimization of s...
Various kinds of optimization problems involve nonlinear functions of binary variables that exhibit ...
We introduce the concept of partially strictly monotone functions and apply it to construct a class ...
AbstractWe study the representation of (possibly) nonlinear functions which may appear in the constr...
AbstractWe define the concept of a representation of a set of either linear constraints in bounded i...
We consider the question of which nonconvex sets can be represented exactly as the feasible sets of ...
AbstractIn an earlier report the concept of a mixed integer minimization model (MIMM) was defined an...
We view mixed integer/linear problem formulation as a process of identifying disjunctive and knapsac...
The non-linear programming problem seeks to maximize a function f(x) where the n component vector x ...
We develop explicit, piecewise-linear formulations of functions f(x):ℝn{mapping}ℝ, n ≤ 3, that are d...
AbstractIn this paper we are concerned with characterizing minimal representation of feasible region...
A mixed-integer program is an optimization problem where one is required to minimize a linear functi...
AbstractThis paper is concerned with the generation of tight equivalent representations for mixed-in...
Quite often modelers with constraint programming (CP) use the same modelling patterns for different...
AbstractIt is shown that any bounded integer linear programming problem can be trans- formed to an e...
Abstract. We consider the following classes of nonlinear programming problems: the minimization of s...
Various kinds of optimization problems involve nonlinear functions of binary variables that exhibit ...
We introduce the concept of partially strictly monotone functions and apply it to construct a class ...