3 edition of Mathematical programming found in the catalog.
Includes bibliographical references (p. ) and indexes.Translation of: Matematicheskoe programmirovanie.
|The Physical Object|
|Pagination||xvi, 127 p. :|
|Number of Pages||67|
nodata File Size: 1MB.
It passes through two water scrubbers before it goes finally to a flare system for burning. The solution of a model actually yields two types of information: 1 allocation data involving both solution levels of the variables and quantities of resource usage and 2 valuation or duality data involving both valuation of constraint resources and estimates of the costs of Mathematical programming variables into the solution. An example of determining bounds for robust optimization model based on four stochastic scenarios s1—s4.
In the first hour, the expected output is 3 MW for scenario s1, and 4 MW for scenarios s2, s3, and s4.
Such problems are ideal cases for the use of operations research methods, such as linear, nonlinear, mixed integer, and multiobjective programming. Additional information and mathematical proofs related to robust optimization can be found in [ 14], while a comprehensive model for a remote microgrid investment planning using robust optimization is available in [ 15].
Its choice depends on the problem. While formulating the optimization problem, one should carefully decide the objective function and it should properly reflect the preference of the decision-maker. The decision-maker evaluates the available alternatives on the basis of some prescribed criterion function.
Mathematical programming driving force in the optimization models is the objective function or functions in multi-objective optimization.
natural gas development has been completed since then, an econometric analysis of the declining yield per effort and resource scarcity.
Affholder, in , 2017 4.