AbstractIn an earlier report the concept of a mixed integer minimization model (MIMM) was defined and the utility of MIMM's as well as the relationship of MIMM's to classes of piecewise-linear functions of n variables was described. This report establishes necessary and sufficient conditions for bounded-integer MIMM representability for piecewise-linear functions of a single real variabl
Abstract. Many optimization problems involve integer and continuous variables that can be modeled as...
This paper provides a survey of recent progress and software for solving mixed integer nonlinear pr...
Abstract: As a new margin-based classier, -learning shows great potential for high accuracy. However...
AbstractIn an earlier report the concept of a mixed integer minimization model (MIMM) was defined an...
We study the modeling of non-convex piecewise linear functions as Mixed Integer Programming (MIP) pr...
In recent years, the increased efficiency of mixed integer linear programming (MILP) software tools ...
We develop explicit, piecewise-linear formulations of functions f(x):ℝn{mapping}ℝ, n ≤ 3, that are d...
In this paper, we consider mixed integer linear programming (MIP) formulations for piecewise linear ...
In this paper, we consider mixed integer linear programming (MIP) formulations for piecewise linear ...
We study a generic minimization problem with separable non-convex piecewise linear costs, showing th...
w9259490 For mathematical programming (MP) to have greater impact upon the decision making proc...
This work focuses on the approximation of bivariate functions into piecewise linear ones with a mini...
AbstractWe study the representation of (possibly) nonlinear functions which may appear in the constr...
This report shows how it is possible to solve the problem of the minimization of an objective functi...
A recent development in the field of discrete optimization is the combined use of (binary) decision ...
Abstract. Many optimization problems involve integer and continuous variables that can be modeled as...
This paper provides a survey of recent progress and software for solving mixed integer nonlinear pr...
Abstract: As a new margin-based classier, -learning shows great potential for high accuracy. However...
AbstractIn an earlier report the concept of a mixed integer minimization model (MIMM) was defined an...
We study the modeling of non-convex piecewise linear functions as Mixed Integer Programming (MIP) pr...
In recent years, the increased efficiency of mixed integer linear programming (MILP) software tools ...
We develop explicit, piecewise-linear formulations of functions f(x):ℝn{mapping}ℝ, n ≤ 3, that are d...
In this paper, we consider mixed integer linear programming (MIP) formulations for piecewise linear ...
In this paper, we consider mixed integer linear programming (MIP) formulations for piecewise linear ...
We study a generic minimization problem with separable non-convex piecewise linear costs, showing th...
w9259490 For mathematical programming (MP) to have greater impact upon the decision making proc...
This work focuses on the approximation of bivariate functions into piecewise linear ones with a mini...
AbstractWe study the representation of (possibly) nonlinear functions which may appear in the constr...
This report shows how it is possible to solve the problem of the minimization of an objective functi...
A recent development in the field of discrete optimization is the combined use of (binary) decision ...
Abstract. Many optimization problems involve integer and continuous variables that can be modeled as...
This paper provides a survey of recent progress and software for solving mixed integer nonlinear pr...
Abstract: As a new margin-based classier, -learning shows great potential for high accuracy. However...
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