Publication date
August 2006
DOI Publisher
Elsevier BV ISSN
0377-2217 Citation count (estimate)
10Abstract
10.1016/j.ejor.2004.11.006European Journal of Operational Research1723761-782EJOR
10.1016/j.ejor.2004.11.006European Journal of Operational Research1723761-782EJOR
SIGLETIB: AC 9718 / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische Informationsbiblioth...
The course covers a variety of topics in stochastic optimization. To begin with, some ap-proaches to...
This text gives a comprehensive coverage of how optimization problems involving decisions and uncert...
A new heuristic approach for Stochastic Programming Problems (SPP) is presented. Here the heuristic ...
Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer ...
Stochastic optimization refers to a collection of methods for minimizing or maximizing an objective ...
Multistage stochastic optimization aims at finding optimal decision strategies in situations where t...
Applying method of stochastic algorithms to solution of discrete optimization problem
Abstract: Lecture Notes in Economics and Mathematical Systems. V.458. 1998. Springer
The focus of the present volume is stochastic optimization of dynamical systems in discrete time whe...
Slides of a talk given at Dortmund University, Dept. of Statistics, on March 2015 the 11th. Invitati...
Discrete optimization is an important area of applied mathematics that is at the intersection of sev...
Optimization problems arising in practice involve random model parameters. This book features many i...
Stochastic methods are present in our daily lives, especially when we need to make a decision based ...
The original publication is available at www.springerlink.comThis paper provides new insights into t...
SIGLETIB: AC 9718 / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische Informationsbiblioth...
The course covers a variety of topics in stochastic optimization. To begin with, some ap-proaches to...
This text gives a comprehensive coverage of how optimization problems involving decisions and uncert...
A new heuristic approach for Stochastic Programming Problems (SPP) is presented. Here the heuristic ...
Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer ...
Stochastic optimization refers to a collection of methods for minimizing or maximizing an objective ...
Multistage stochastic optimization aims at finding optimal decision strategies in situations where t...
Applying method of stochastic algorithms to solution of discrete optimization problem
Abstract: Lecture Notes in Economics and Mathematical Systems. V.458. 1998. Springer
The focus of the present volume is stochastic optimization of dynamical systems in discrete time whe...
Slides of a talk given at Dortmund University, Dept. of Statistics, on March 2015 the 11th. Invitati...
Discrete optimization is an important area of applied mathematics that is at the intersection of sev...
Optimization problems arising in practice involve random model parameters. This book features many i...
Stochastic methods are present in our daily lives, especially when we need to make a decision based ...
The original publication is available at www.springerlink.comThis paper provides new insights into t...
SIGLETIB: AC 9718 / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische Informationsbiblioth...
The course covers a variety of topics in stochastic optimization. To begin with, some ap-proaches to...
This text gives a comprehensive coverage of how optimization problems involving decisions and uncert...
Add to ORKG