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Geometric programming for design equation development and cost/profit optimization : (with illustrative case study problems and solutions) /

Geometric Programming is used for cost minimization, profit maximization, obtaining cost ratios, and the development of generalized design equations for the primal variables. The early pioneers of geometric programming--Zener, Duffin, Peterson, Beightler, Wilde, and Phillips-- played important roles...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Creese, Robert C., 1941- (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham, Switzerland : Springer, [2017]
Edición:Third edition.
Colección:Synthesis lectures on engineering ; #27.
Temas:
Acceso en línea:Texto completo
Descripción
Sumario:Geometric Programming is used for cost minimization, profit maximization, obtaining cost ratios, and the development of generalized design equations for the primal variables. The early pioneers of geometric programming--Zener, Duffin, Peterson, Beightler, Wilde, and Phillips-- played important roles in its development. Five new case studies have been added to the third edition. There are five major sections: (1) Introduction, History and Theoretical Fundamentals; (2) Cost Minimization Applications with Zero Degrees of Difficulty; (3) Profit Maximization Applications with Zero Degrees of Difficulty; (4) Applications with Positive Degrees of Difficulty; and (5) Summary, Future Directions, and Geometric Programming Theses & Dissertations Titles. The various solution techniques presented are the constrained derivative approach, condensation of terms approach, dimensional analysis approach, and transformed dual approach. A primary goal of this work is to have readers develop more case studies and new solution techniques to further the application of geometric programming.
Descripción Física:1 online resource (xvi, 194 pages) : illustrations
Bibliografía:Includes bibliographical references and index.
ISBN:9781627059367
1627059369
1627059806
9781627059800
9783031793769
3031793765
ISSN:1939-523X ;