This book presents a comprehensive description of efficient methods for solving nonconvex mixed integer nonlinear programs, including several numerical and theoretical results, which are presented here for the first time. It contains many illustrations and an up-to-date bibliography. Because on the emphasis on practical methods, as well as the introduction into the basic theory, the book is accessible to a wide audience. It can be used both as a research and as a graduate text
A wide range of problems arising in practical applications can be formulated as Mixed-Integer Nonlin...
A methodology to solve nonconvex constrained mixed-integer nonlinear programming (MINLP) problems i...
A methodology to solve nonconvex constrained mixed-integer nonlinear programming (MINLP) problems is...
Abstract. Many optimization problems involve integer and continuous variables that can be modeled as...
This work addresses the development of an efficient solution strategy for obtaining global optima of...
Die Habilitationsschrift beschäftigt sich mit Theorie, Algorithmen und Software zur Lösung von nic...
Die Habilitationsschrift beschäftigt sich mit Theorie, Algorithmen und Software zur Lösung von nic...
We present a review of available tools for solving mixed integer nonlinear programming problems. Our...
This paper is motivated by the fact that mixed integer nonlinear programming is an important and dif...
We present a review of available tools for solving mixed integer nonlinear programming problems. Our...
The mathematical modeling of systems often requires the use of both nonlinear and discrete component...
AbstractThis paper is motivated by the fact that mixed integer nonlinear programming is an important...
A mixed-integer programming problem is one where some of the variables must have only integer val-ue...
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...
A wide range of problems arising in practical applications can be formulated as Mixed-Integer Nonlin...
A methodology to solve nonconvex constrained mixed-integer nonlinear programming (MINLP) problems i...
A methodology to solve nonconvex constrained mixed-integer nonlinear programming (MINLP) problems is...
Abstract. Many optimization problems involve integer and continuous variables that can be modeled as...
This work addresses the development of an efficient solution strategy for obtaining global optima of...
Die Habilitationsschrift beschäftigt sich mit Theorie, Algorithmen und Software zur Lösung von nic...
Die Habilitationsschrift beschäftigt sich mit Theorie, Algorithmen und Software zur Lösung von nic...
We present a review of available tools for solving mixed integer nonlinear programming problems. Our...
This paper is motivated by the fact that mixed integer nonlinear programming is an important and dif...
We present a review of available tools for solving mixed integer nonlinear programming problems. Our...
The mathematical modeling of systems often requires the use of both nonlinear and discrete component...
AbstractThis paper is motivated by the fact that mixed integer nonlinear programming is an important...
A mixed-integer programming problem is one where some of the variables must have only integer val-ue...
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...
A wide range of problems arising in practical applications can be formulated as Mixed-Integer Nonlin...
A methodology to solve nonconvex constrained mixed-integer nonlinear programming (MINLP) problems i...
A methodology to solve nonconvex constrained mixed-integer nonlinear programming (MINLP) problems is...