DLP and Extensions
DLP and Extensions

Author: John L. Nazareth

Publisher: Springer Science & Business Media

Published: 2011-06-28

Total Pages: 213

ISBN-13: 3642567614

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DLP denotes a dynamic-linear modeling and optimization approach to computational decision support for resource planning problems that arise, typically, within the natural resource sciences and the disciplines of operations research and operational engineering. The text examines the techniques of dynamic programming (DP) and linear programming (LP). DLP also connotes a broad modeling/algorithmic concept that has numerous areas of application. Two motivating examples provide a linking thread through the main chapters. The appendix provides a demonstration program, executable on a PC, for hands-on experience with the DLP approach.

DLP and Extensions
DLP and Extensions

Author: John Nazareth

Publisher: Springer

Published: 2011-09-02

Total Pages: 207

ISBN-13: 9783642567629

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DLP denotes a dynamic-linear modeling and optimization approach to computational decision support for resource planning problems that arise, typically, within the natural resource sciences and the disciplines of operations research and operational engineering. The text examines the techniques of dynamic programming (DP) and linear programming (LP). DLP also connotes a broad modeling/algorithmic concept that has numerous areas of application. Two motivating examples provide a linking thread through the main chapters. The appendix provides a demonstration program, executable on a PC, for hands-on experience with the DLP approach.

Analysis of a Methodology for Linear Programming Optimality Analysis
Analysis of a Methodology for Linear Programming Optimality Analysis

Author: Chanseok Jeong

Publisher:

Published: 1997-03-01

Total Pages: 143

ISBN-13: 9781423568131

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The methodology of Johnson, Baner, Moore, and Grant can be applied to large scale linear programming models. A methodology for optimality analysis of linear programs was developed to create metamodels using response surface methodology techniques such as experimental design and least squares regression. A metamodel consists of a simple equation which is able to predict the optimal objective function value of a linear program. What is needed is some large scale application of the techniques to verify how accurate they are. In the research, I plan to use the large scale LP model, STORM. I use the "Hot Start" idea for the efficiency of STORM program calculation. The developed metamodels of the large scale LP can provide some useful information about the relationships between the objective function value and the right-hand-side vector and coefficients of the objective function (unit cost vector) by varying the right- hand-side vector and unit cost vector.