Computation in Stochastic Programming

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One of the major impediments to the widespread use and acceptance of Stochastic Programming models is its reputation for being too computationally intensive. While this may have been true several years ago, recent advances in solution techniques and computer speeds and architectures enable absolutely hige problems to be solved. For more discussion, please go to the Introduction to Stochastic Programming Page.. To find out more about the types of problems available and recent computational state-of-the-art times, please select one of the following pages:
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