| 000 | 08798nam a2200697 i 4500 | ||
|---|---|---|---|
| 001 | 7809447 | ||
| 003 | IEEE | ||
| 005 | 20200413152923.0 | ||
| 006 | m eo d | ||
| 007 | cr cn |||m|||a | ||
| 008 | 170125s2017 caua foab 001 0 eng d | ||
| 020 |
_a9781627059367 _qebook |
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| 020 |
_z9781627059800 _qprint |
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| 024 | 7 |
_a10.2200/S00747ED3V01Y201616ENG027 _2doi |
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| 035 | _a(CaBNVSL)swl00407069 | ||
| 035 | _a(OCoLC)970006994 | ||
| 040 |
_aCaBNVSL _beng _erda _cCaBNVSL _dCaBNVSL |
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| 050 | 4 |
_aT57.825 _b.C744 2017 |
|
| 082 | 0 | 4 |
_a516 _223 |
| 100 | 1 |
_aCreese, Robert C., _d1941-, _eauthor. |
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| 245 | 1 | 0 |
_aGeometric programming for design equation development and cost/profit optimization : _b(with illustrative case study problems and solutions) / _cRobert C. Creese. |
| 250 | _aThird edition. | ||
| 264 | 1 |
_a[San Rafael, California] : _bMorgan & Claypool, _c2017. |
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| 300 |
_a1 PDF (xvi, 194 pages) : _billustrations. |
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| 336 |
_atext _2rdacontent |
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| 337 |
_aelectronic _2isbdmedia |
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| 338 |
_aonline resource _2rdacarrier |
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| 490 | 1 |
_aSynthesis lectures on engineering, _x1939-523X ; _v# 27 |
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| 538 | _aMode of access: World Wide Web. | ||
| 538 | _aSystem requirements: Adobe Acrobat Reader. | ||
| 500 | _aPart of: Synthesis digital library of engineering and computer science. | ||
| 504 | _aIncludes bibliographical references and index. | ||
| 505 | 0 | _aPart I. Introduction, history, and theoretical fundamentals of geometric programming -- 1. Introduction -- 1.1 Optimization and geometric programming -- 1.1.1 Optimization -- 1.1.2 Geometric programming -- 1.2 Evaluative questions -- 1.3 References -- 2.Brief history of geometric programming -- 2.1 Pioneers of geometric programming -- 2.2 Evaluative questions -- 2.3 References -- 3. Theoretical fundamentals -- 3.1 Primal and dual formulations -- 3.2 Evaluative questions -- 3.3 References -- | |
| 505 | 8 | _aPart II. Geometric programming cost minimization applications with zero degrees of difficulty -- 4. The optimal box design case study -- 4.1 Introduction -- 4.2 The optimal box design problem -- 4.3 Evaluative questions -- 5. Trash can case study -- 5.1 Introduction -- 5.2 The optimal trash can design problem -- 5.3 Evaluative questions -- 5.4 References -- 6. The building area design case study -- 6.1 Introduction -- 6.2 The building area design problem -- 6.3 Problem solution -- 6.4 Modified building area design problem -- 6.5 Fixed room height area design problem -- 6.6 Evaluative questions -- 6.7 References -- 7. The open cargo shipping box case study -- 7.1 Problem statement and general solution -- 7.2 Evaluative questions -- 7.3 References -- 8. Metal casting cylindrical side riser case study -- 8.1 Introduction -- 8.2 Problem formulation and general solution -- 8.3 Cylindrical side riser example -- 8.4 Evaluative questions -- 8.5 References -- 9. Inventory model case study -- 9.1 Problem statement and general solution -- 9.2 Inventory example problem -- 9.3 Evaluative questions -- 9.4 References -- 10. Process furnace design case study -- 10.1 Problem statement and solution -- 10.2 Conclusions -- 10.3 Evaluative questions -- 10.4 References -- 11. The gas transmission pipeline case study -- 11.1 Problem statement and solution -- 11.2 Evaluative questions -- 11.3 References -- 12. Material removal/metal cutting economics case study -- 12.1 Introduction -- 12.2 Problem formulation -- 12.3 Evaluative questions -- 12.4 References -- 13. Construction building sector cost minimization case study -- 13.1 Introduction -- 13.2 Model development -- 13.3 Model results and validation -- 13.4 Conclusions -- 13.5 Evaluative questions -- 13.6 References -- | |
| 505 | 8 | _aPart III. Geometric programming profit maximization applications with zero degrees of difficulty -- 14. Production function profit maximization case study -- 14.1 Profit maximization with geometric programming -- 14.2 Profit maximization of the production function case study -- 14.3 Evaluative questions -- 14.4 References -- 15. Product mix profit maximization case study -- 15.1 Profit maximization using the Cobb-Douglas production function -- 15.2 Evaluative questions -- 15.3 References -- 16. Chemical plant product profitability case study -- 16.1 Model formulation -- 16.2 Primal and dual solutions -- 16.3 Evaluative questions -- 16.4 References -- | |
| 505 | 8 | _aPart IV. Geometric programming applications with positive degrees of difficulty -- 17. Journal bearing design case study -- 17.1 Issues with positive degrees of difficulty problems -- 17.2 Journal bearing case study -- 17.3 Primal and dual formulation of journal bearing design -- 17.4 Dimensional analysis technique for additional equation -- 17.5 Evaluative questions -- 17.6 References -- 18. Multistory building design with a variable number of floors case study -- 18.1 Introduction -- 18.2 Problem formulation -- 18.3 Evaluative questions -- 18.4 References -- 19. Metal casting cylindrical side riser with hemispherical top design case study -- 19.1 Introduction -- 19.2 Problem formulation -- 19.3 Dimensional analysis technique for additional two equations -- 19.4 Evaluative questions -- 19.5 References -- 20. Liquefied petroleum gas (LPG) cylinders case study -- 20.1 Introduction -- 20.2 Problem formulation -- 20.3 Dimensional analysis technique for additional equation -- 20.4 Evaluative questions -- 20.5 References -- 21. Material removal/metal cutting economics with two constraints case study -- 21.1 Introduction -- 21.2 Problem formulation -- 21.3 Problem solution -- 21.4 Example problem -- 21.5 Evaluative questions -- 21.6 References -- 22. The open cargo shipping box with skids case study -- 22.1 Introduction -- 22.2 Primal and dual problem formulation -- 22.3 Constrained derivative approach -- 22.4 Dimensional analysis approach for additional equation -- 22.5 Condensation of terms approach -- 22.6 Evaluative questions -- 22.7 References -- 23. Profit maximization considering decreasing cost functions of inventory policy case study -- 23.1 Introduction -- 23.2 Model formulation -- 23.3 Inventory example problem with scaling constants for price and cost -- 23.4 Transformed dual approach -- 23.5 Evaluative questions -- 23.6 References -- | |
| 505 | 8 | _aPart V. Summary, future directions, theses and dissertations on geometric programming -- 24. Summary and future directions -- 24.1 Summary -- 24.2 Future directions -- 24.3 Development of new design relationships -- 25. Theses and dissertations on geometric programming -- 25.1 Introduction -- 25.2 Lists of M.S. theses and Ph.D. dissertations -- Author's biography -- Index. | |
| 506 | 1 | _aAbstract freely available; full-text restricted to subscribers or individual document purchasers. | |
| 510 | 0 | _aCompendex | |
| 510 | 0 | _aINSPEC | |
| 510 | 0 | _aGoogle scholar | |
| 510 | 0 | _aGoogle book search | |
| 520 | 3 | _aGeometric 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. | |
| 530 | _aAlso available in print. | ||
| 588 | _aTitle from PDF title page (viewed on January 24, 2017). | ||
| 650 | 0 |
_aGeometric programming _vCase studies. |
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| 653 | _adesign optimization | ||
| 653 | _ageneralized design relationships | ||
| 653 | _acost optimization | ||
| 653 | _aprofit maximization | ||
| 653 | _acost ratios | ||
| 653 | _aconstrained derivative | ||
| 653 | _adimensional analysis | ||
| 653 | _acondensation of terms | ||
| 653 | _atransformed dual | ||
| 653 | _aposynominials | ||
| 776 | 0 | 8 |
_iPrint version: _z9781627059800 |
| 830 | 0 | _aSynthesis digital library of engineering and computer science. | |
| 830 | 0 |
_aSynthesis lectures on engineering ; _v# 27. _x1939-523X |
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| 856 | 4 | 2 |
_3Abstract with links to resource _uhttp://ieeexplore.ieee.org/servlet/opac?bknumber=7809447 |
| 999 |
_c562243 _d562243 |
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