Keywords
Computer scienceProgramming language
Affiliated Institutions
Related Publications
Adaptive filtering prediction and control
Preface1. Introduction to Adaptive TechniquesPart 1. Deterministic Systems2. Models for Deterministic Dynamical Systems3. Parameter Estimation for Deterministic Systems4. Determ...
APPLYING EVOLUTIONARY PROGRAMMING TO SELECTED TRAVELING SALESMAN PROBLEMS
Natural evolution provides a paradigm for the design of stochastic-search optimization algorithms. Various forms of simulated evolution, such as genetic algorithms and evolution...
Contraction Mappings in the Theory Underlying Dynamic Programming
Next article Contraction Mappings in the Theory Underlying Dynamic ProgrammingEric V. DenardoEric V. Denardohttps://doi.org/10.1137/1009030PDFBibTexSections ToolsAdd to favorite...
Genetic Algorithms in Search, Optimization and Machine Learning
David Goldberg's Genetic Algorithms in Search, Optimization and Machine Learning is by far the bestselling introduction to genetic algorithms. Goldberg is one of the preeminent ...
Publication Info
- Year
- 2011
- Type
- book
- Citations
- 6312
- Access
- Closed
External Links
Social Impact
Altmetric
PlumX Metrics
Social media, news, blog, policy document mentions
Citation Metrics
6312
OpenAlex
Cite This
John R. Birge,
François Louveaux
(2011).
Introduction to Stochastic Programming.
Springer series in operations research/Springer series in operations research and financial engineering
.
https://doi.org/10.1007/978-1-4614-0237-4
Identifiers
- DOI
- 10.1007/978-1-4614-0237-4