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Multi-stage programming (MSP) is a variety of metaprogramming in which compilation is divided into a series of intermediate phases, allowing typesafe run-time code generation. Statically defined types are used to verify that dynamically constructed types are valid and do not violate the type system.
In the field of mathematical optimization, stochastic programming is a framework for modeling optimization problems that involve uncertainty. A stochastic program is an optimization problem in which some or all problem parameters are uncertain, but follow known probability distributions.
A multistage rocket or step rocket is a launch vehicle that uses two or more rocket stages, each of which contains its own engines and propellant. A tandem or serial stage is mounted on top of another stage; a parallel stage is attached alongside another stage.
Multi-stage programming (MSP) is a paradigm for developing generic software that does not pay a runtime penalty for this generality. This is achieved through concise, carefully-designed language extensions that support runtime code generation and program execution.
- Walid Taha
- 2004
15 de fev. de 2021 · Foundations of Multistage Stochastic Programming. Paul Dommel, Alois Pichler. Multistage stochastic optimization problems are oftentimes formulated informally in a pathwise way. These are correct in a discrete setting and suitable when addressing computational challenges, for example.
- Paul Dommel, Alois Pichler
- arXiv:2102.07464 [math.OC]
- 2021
- Optimization and Control (math.OC)
Multi-stage programming (MSP) is a form of metaprogramming where parts of source code are annotated and become available as symbolic expressions. Such staged code can be manipulated within the same program before it is translated at either run-time or compile time. History.
19 de jan. de 2021 · Since introduced about 30 years ago for solving large-scale multistage stochastic linear programming problems in energy planning, SDDP has been applied to practical problems from several fields and is enriched by various improvements and enhancements to broader problem classes.
