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There is a close connection between linear programs, eigenequations, John von Neumann's general equilibrium model, and structural equilibrium models (see dual linear program for details). [ 1 ] [ 2 ] [ 3 ] Industries that use linear programming models include transportation, energy, telecommunications, and manufacturing.
Lightweight Presentation Protocol (LPP) is a protocol used to provide ISO presentation services on top of TCP/IP based protocol stacks. It is defined in RFC 1085. The Lightweight Presentation Protocol describes an approach for providing "streamlined" support of OSI model-conforming application services on top of TCP/IP-based network for some constrained environments.
Goal programming is a branch of multiobjective optimization, which in turn is a branch of multi-criteria decision analysis (MCDA). It can be thought of as an extension or generalisation of linear programming to handle multiple, normally conflicting objective measures.
Given a transformation between input and output values, described by a mathematical function, optimization deals with generating and selecting the best solution from some set of available alternatives, by systematically choosing input values from within an allowed set, computing the output of the function and recording the best output values found during the process.
Process simulation is a model-based representation of chemical, physical, biological, and other technical processes and unit operations in software. Basic prerequisites for the model are chemical and physical properties [ 1 ] of pure components and mixtures, of reactions, and of mathematical models which, in combination, allow the calculation ...
The process data diagram. A process-data diagram (PDD), also known as process-deliverable diagram is a diagram that describes processes and data that act as output of these processes. On the left side the meta-process model can be viewed and on the right side the meta-data model can be viewed. [1]
The dual of a given linear program (LP) is another LP that is derived from the original (the primal) LP in the following schematic way: . Each variable in the primal LP becomes a constraint in the dual LP;
The above formulation's quantity constraints are minimum constraints (at least the given amount of each order must be produced, but possibly more). When c i = 1 {\displaystyle c_{i}=1} , the objective minimises the number of utilised master items and, if the constraint for the quantity to be produced is replaced by equality, it is called the ...