Grammar-oriented Programming
Grammar-oriented programming (GOP) and Grammar-oriented Object Design (GOOD) are good for designing and creating a domain-specific programming language (DSL) for a specific business domain. GOOD can be used to drive the execution of the application or it can be used to embed the declarative processing logic of a context-aware component (CAC) or context-aware service (CAS). GOOD is a method for creating and maintaining dynamically reconfigurable software architectures driven by business-process architectures. The business compiler was used to capture business processes within real-time workshops for various lines of business and create an executable simulation of the processes used. Instead of using one DSL for the entire programming activity, GOOD suggests the combination of defining domain-specific behavioral semantics in conjunction with the use of more traditional, general purpose programming languages. See also * Adaptive grammar * Definite clause grammar * Extensible pr ...
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Mathematical Programming
Mathematical optimization (alternatively spelled ''optimisation'') or mathematical programming is the selection of a best element, with regard to some criteria, from some set of available alternatives. It is generally divided into two subfields: discrete optimization and continuous optimization. Optimization problems arise in all quantitative disciplines from computer science and engineering to operations research and economics, and the development of solution methods has been of interest in mathematics for centuries. In the more general approach, an optimization problem consists of maximizing or minimizing a real function by systematically choosing input values from within an allowed set and computing the value of the function. The generalization of optimization theory and techniques to other formulations constitutes a large area of applied mathematics. Optimization problems Optimization problems can be divided into two categories, depending on whether the variables ...
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