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Mixed integer programming approaches for nonlinear and stochastic programming.
2009In this thesis we study how to solve some nonconvex optimization problems by using methods that capitalize on the success of Linear Programming (LP) based solvers for Mixed Integer Linear Programming (MILP). A common aspect of our solution approaches is the use, development and analysis of small but strong extended LP/MILP formulations and ...
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MINLPLib—A Collection of Test Models for Mixed-Integer Nonlinear Programming
INFORMS Journal on Computing, 2003Michael R Bussieck
exaly
Mixed integer nonlinear programming tools: an updated practical overview
Annals of Operations Research, 2013Claudia D’Ambrosio +2 more
exaly
Review of Mixed‐Integer Nonlinear and Generalized Disjunctive Programming Methods
Chemie-Ingenieur-Technik, 2014FRANCISCO Trespalacios +1 more
exaly
Mixed-integer nonlinear programming techniques for process systems engineering
Computers and Chemical Engineering, 1995Ignacio E Grossmann, Zdravko Kravanja
exaly

