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. It integrates techniques of dynamic programming (DP) and linear programming (LP) and can be realized in an immediate, practical and usable way. Simultaneously DLP connotes a broad and very general modeling/ algorithmic concept that has numerous areas of application and possibilities for extension. Two motivating examples provide a linking thread through the main chapters, and an appendix provides a demonstration program, executable on a PC, for hands-on experience with the DLP approach. I: The DLP Nucleus Model.- 1: Motivating Examples.- 2: DLP Nucleus Model.- 3: The DLPFI Language.- 4: DLP Output Format.- II: Usage.- 5: Philosophy.- 6: Modeling Issues and Applications.- III: Techniques.- 7: DLP Nucleus Mathematical Model.- 8: The DLP Algorithm.- 9: Implementation of the DLP Nucleus.- IV: Extensions.- 10: Stochastic and Other Extensions.
From the reviews of the first edition:
"DLP is a synergetic dynamic-linear optimization technique ... . In conclusion, the book is a good read and highly recommended to researchers. ... The book provides the expertise and savvy remarks of a professor emeritus with a lot of experience in Operational Research in general, and large-scale optimization, in particular. ... the book is appropriate for a collection of a (research) library or a researcher in the field of large-scale optimization." (A L Medaglia and N. Santamaria, Journal of the Operational Research Society, Vol. 56, 2005)
