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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.
From Wikipedia, the free encyclopedia. Redirect page. Redirect to: Multi-stage programming
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.
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.
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.
1 de nov. de 1999 · Multi-Stage Programming: Its Theory and ApplicationsNovember 1999. 1999 Technical Report. Author: Taha Walid. Publisher: Oregon Graduate Institute School of Science & Engineering. Published: 01 November 1999. Save to Binder Export Citation. Bibliometrics.
