This report presents an approach to stochastic programming. It treats mainly the difficulties arising in formulating the problem and the possibilities to derive a deterministic problem by which it can be replaced. In a sense the approach of this report unifies different viewpoints on stochastic programming problems as they have been published in the literature
In practice we often have to solve optimization problems with several criteria. These problems are c...
From the Preface… The preparation of this book started in 2004, when George B. Dantzig and I, follow...
This thesis concentrates on different approaches of solving decision making problems with an aspect ...
This report presents an approach to stochastic programming. It treats mainly the difficulties arisin...
The purpose of the paper is to introduce various stochastic programs and related deterministi
Stochastic methods are present in our daily lives, especially when we need to make a decision based ...
ABSTRACT: The aim of this study is to analyse the resolution of Stochastic Programming Problems in w...
Stochastic programming is an optimization approach taking into account uncertainties in the system m...
Solutions techniques for stochastic programs are reviewed. Particular emphasis is placed on those me...
http://deepblue.lib.umich.edu/bitstream/2027.42/5586/5/bap4034.0001.001.pdfhttp://deepblue.lib.umich...
A new heuristic approach for Stochastic Programming Problems (SPP) is presented. Here the heuristic ...
This thesis' topic is stochastic programming, in particular with regard to portfolio optimization an...
Stochastic programming is the subfield of mathematical programming that considers optimization in th...
Abstract Stochastic Programming (SP) was first introduced by George Dantzig in the 1950’s. Since tha...
This text gives a comprehensive coverage of how optimization problems involving decisions and uncert...
In practice we often have to solve optimization problems with several criteria. These problems are c...
From the Preface… The preparation of this book started in 2004, when George B. Dantzig and I, follow...
This thesis concentrates on different approaches of solving decision making problems with an aspect ...
This report presents an approach to stochastic programming. It treats mainly the difficulties arisin...
The purpose of the paper is to introduce various stochastic programs and related deterministi
Stochastic methods are present in our daily lives, especially when we need to make a decision based ...
ABSTRACT: The aim of this study is to analyse the resolution of Stochastic Programming Problems in w...
Stochastic programming is an optimization approach taking into account uncertainties in the system m...
Solutions techniques for stochastic programs are reviewed. Particular emphasis is placed on those me...
http://deepblue.lib.umich.edu/bitstream/2027.42/5586/5/bap4034.0001.001.pdfhttp://deepblue.lib.umich...
A new heuristic approach for Stochastic Programming Problems (SPP) is presented. Here the heuristic ...
This thesis' topic is stochastic programming, in particular with regard to portfolio optimization an...
Stochastic programming is the subfield of mathematical programming that considers optimization in th...
Abstract Stochastic Programming (SP) was first introduced by George Dantzig in the 1950’s. Since tha...
This text gives a comprehensive coverage of how optimization problems involving decisions and uncert...
In practice we often have to solve optimization problems with several criteria. These problems are c...
From the Preface… The preparation of this book started in 2004, when George B. Dantzig and I, follow...
This thesis concentrates on different approaches of solving decision making problems with an aspect ...
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