The aim of this workshop was fostering the growth of new mathematical ideas arising from mixed-integer nonlinear optimization. In this regard, the workshop has been a resounding success. It has covered a very diverse scientific landscape, including automated proof in computational geometry, the analysis of computational complexity of MINO in fixed and variable dimension, the solution of infinite MINO such as those appearing in mixed integer optimal control, the theoretical and computational deployment of traditional integer and continuous approaches to achieve new solution algorithms for large-scale MINO, a classification of the most interesting engineering and technology applications of MINO, and more. It has synthesized twenty open questi...
International audienceThis paper is motivated by the fact that mixed integer nonlinear programming i...
AbstractThis paper is motivated by the fact that mixed integer nonlinear programming is an important...
Abstract. This paper has as a major objective to present a unified overview and derivation of mixed-...
This paper provides a survey of recent progress and software for solving mixed integer nonlinear pr...
Technical Report #1664, Computer Sciences Department, University of Wisconsin-Madison, 2009.This pap...
Mathematical models for optimal decisions often require both nonlinear and discrete components. Thes...
Abstract. Many optimization problems involve integer and continuous variables that can be modeled as...
The mathematical modeling of systems often requires the use of both nonlinear and discrete component...
A wide range of problems arising in practical applications can be formulated as Mixed-Integer Nonlin...
With widespread use of mixed-integer modeling for continuous and discontinuous nonlinear chemical pr...
This work contributes to modeling, theoretical, and practical aspects of structured Mathematical Pro...
Tight reformulations of combinatorial optimization problems like Convex Mixed-Integer Nonlinear Prog...
We present an algorithm for Mixed-Integer Nonlinear Programming (MINLP) problems in which the non-co...
We present an algorithm for Mixed-Integer Nonlinear Programming (MINLP) problems in which the non-co...
International audienceThis paper is motivated by the fact that mixed integer nonlinear programming i...
International audienceThis paper is motivated by the fact that mixed integer nonlinear programming i...
AbstractThis paper is motivated by the fact that mixed integer nonlinear programming is an important...
Abstract. This paper has as a major objective to present a unified overview and derivation of mixed-...
This paper provides a survey of recent progress and software for solving mixed integer nonlinear pr...
Technical Report #1664, Computer Sciences Department, University of Wisconsin-Madison, 2009.This pap...
Mathematical models for optimal decisions often require both nonlinear and discrete components. Thes...
Abstract. Many optimization problems involve integer and continuous variables that can be modeled as...
The mathematical modeling of systems often requires the use of both nonlinear and discrete component...
A wide range of problems arising in practical applications can be formulated as Mixed-Integer Nonlin...
With widespread use of mixed-integer modeling for continuous and discontinuous nonlinear chemical pr...
This work contributes to modeling, theoretical, and practical aspects of structured Mathematical Pro...
Tight reformulations of combinatorial optimization problems like Convex Mixed-Integer Nonlinear Prog...
We present an algorithm for Mixed-Integer Nonlinear Programming (MINLP) problems in which the non-co...
We present an algorithm for Mixed-Integer Nonlinear Programming (MINLP) problems in which the non-co...
International audienceThis paper is motivated by the fact that mixed integer nonlinear programming i...
International audienceThis paper is motivated by the fact that mixed integer nonlinear programming i...
AbstractThis paper is motivated by the fact that mixed integer nonlinear programming is an important...
Abstract. This paper has as a major objective to present a unified overview and derivation of mixed-...