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Books on the topic 'Formulation optimization'

Author: Grafiati
Published: 18 April 2022
Last updated: 25 April 2022

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1

Diaby, Moustapha. Advances in combinatorial optimization: Linear programming formulation of the traveling salesman and other hard combinatorial optimization problems. New Jersey: World Scientific, 2015.

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2

Wriggers, P., and Paulo de Mattos Pimenta. New trends in thin structures: Formulation, optimization and coupled problems. Wien: Springer, 2010.

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3

De Mattos Pimenta, Paulo, and Peter Wriggers, eds. New Trends in Thin Structures: Formulation, Optimization and Coupled Problems. Vienna: Springer Vienna, 2010. http://dx.doi.org/10.1007/978-3-7091-0231-2.

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4

Anderson, W. Kyle. Aerodynamic design optimization on unstructured grids with a continuous adjoint formulation. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1997.

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5

Fonseca, Carlos M. Multiobjective optimization and multiple constraint handling with evolutionary algorithms I: A unified formulation. Sheffield: University of Sheffield, Dept. of Automatic Control and Systems Engineering, 1995.

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6

Tabarrok, B. Variational Methods and Complementary Formulations in Dynamics. Dordrecht: Springer Netherlands, 1994.

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7

Plevris, Vagelis. Structural seismic design optimization and earthquake engineering: Formulations and applications. Hershey, PA: Engineering Science Reference, 2012.

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8

Parallel CFD '99 Conference, Williamsburg, 1999. Parallel computational fluid dynamics: Towards teraplops, optimization and novel formulations: proceedings of the Parallel CFD '99 Conference. Amsterdam: Elsevier, 2000.

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9

E, Keyes David, ed. Parallel computational fluid dynamics: Towards teraflops, optimization, and novel formulations : proceedings of the Parallel CFD '99 Conference. Amsterdam: Elsevier, 2000.

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10

Elkamel, Ali, Navid Omidbakhsh, Keyvan Nowruzi, and Thomas Duever. Chemical Product Formulation Design and Optimization. Wiley & Sons, Incorporated, John, 2021.

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11

Elkamel, Ali, Navid Omidbakhsh, Keyvan Nowruzi, and Thomas Duever. Chemical Product Formulation Design and Optimization. Wiley & Sons, Incorporated, John, 2021.

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12

Wriggers, Peter, and Paolo de Mattos Pimenta. New Trends in Thin Structures : Formulation, Optimization and Coupled Problems: Formulation, Optimization and Coupled Problems. Paolo De Mattos Pimenta, 2012.

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13

Applied Optimization: Formulation and Algorithms for Engineering Systems. Cambridge University Press, 2006.

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14

Wriggers, Peter, and Paolo de Mattos Pimenta. New Trends in Thin Structures: Formulation, Optimization and Coupled Problems. Springer, 2010.

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15

1934-, Jameson Antony, and Research Institute for Advanced Computer Science (U.S.), eds. Supersonic wing and wing-body shape optimization using an adjoint formulation. [Moffett Field, Calif.]: Research Institute for Advanced Computer Science, NASA Ames Research Center, 1995.

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16

1934-, Jameson Antony, and Research Institute for Advanced Computer Science (U.S.), eds. Supersonic wing and wing-body shape optimization using an adjoint formulation. [Moffett Field, Calif.]: Research Institute for Advanced Computer Science, NASA Ames Research Center, 1995.

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17

1934-, Jameson Antony, and Research Institute for Advanced Computer Science (U.S.), eds. Supersonic wing and wing-body shape optimization using an adjoint formulation. [Moffett Field, Calif.]: Research Institute for Advanced Computer Science, NASA Ames Research Center, 1995.

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18

V, Venkatakrishnan, and Langley Research Center, eds. Aerodynamic design optimization on unstructured grids with a continuous adjoint formulation. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1997.

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19

James, Reuther, and Research Institute for Advanced Computer Science (U.S.), eds. Aerodynamic shape optimization of complex aircraft configurations via an adjoint formulation. [Moffett Field, Calif.]: Research Institute for Advanced Computer Science, NASA Ames Research Center, 1996.

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20

Admitting the inadmissible: Adjoint formulation for incomplete cost functionals in aerodynamic optimization. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1997.

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21

James, Reuther, and United States. National Aeronautics and Space Administration., eds. Constrained multipoint aerodynamic shape optimization using an adjoint formulation and parallel computers. [Washington, DC: National Aeronautics and Space Administration, 1997.

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22

D, Salas M., and Langley Research Center, eds. Admitting the inadmissible: Adjoint formulation for incomplete cost functionals in aerodynamic optimization. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1997.

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23

James, Reuther, and Ames Research Center, eds. Aerodynamic shape optimization of supersonic aircraft configurations via an adjoint formulation on parallel computers. [Moffett Field, CA]: Research Institute for Advanced Computer Science, 1996.

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24

Efficient Nonlinear Transient Dynamic Analysis of Structural Optimization Using an Exact Integral Equation Formulation. Storming Media, 1999.

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25

Michel, Bierlaire. Optimization: Principles and Algorithms. EPFL Press, 2015. http://dx.doi.org/10.55430/6116v1mb.

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Every engineer and decision scientist must have a good mastery of optimization, an essential element in their toolkit. Thus, this articulate introductory textbook will certainly be welcomed by students and practicing professionals alike. Drawing from his vast teaching experience, the author skillfully leads the reader through a rich choice of topics in a coherent, fluid and tasteful blend of models and methods anchored on the underlying mathematical notions (only prerequisites: first year calculus and linear algebra). Topics range from the classics to some of the most recent developments in smooth unconstrained and constrained optimization, like descent methods, conjugate gradients, Newton and quasi-Newton methods, linear programming and the simplex method, trust region and interior point methods. Furthermore elements of discrete and combinatorial optimization like network optimization, integer programming and heuristic local search methods are also presented. This book presents optimization as a modeling tool that beyond supporting problem formulation plus design and implementation of efficient algorithms, also is a language suited for interdisciplinary human interaction. Readers further become aware that while the roots of mathematical optimization go back to the work of giants like Newton, Lagrange, Cauchy, Euler or Gauss, it did not become a discipline on its own until World War Two. Also that its present momentum really resulted from its symbiosis with modern computers, which made it possible to routinely solve problems with millions of variables and constraints. With his witty, entertaining, yet precise style, Michel Bierlaire captivates his readers and awakens their desire to try out the presented material in a creative mode. One of the outstanding assets of this book is the unified, clear and concise rendering of the various algorithms, which makes them easily readable and translatable into any high level programming language. ''This is an addictive book that I am very pleased to recommend.'' Prof. Thomas M. Liebling
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26

S, Pagaldipti Narayanan, and United States. National Aeronautics and Space Administration., eds. Multidisciplinary design optimization using multiobjective formulation techniques: Final report on NASA Ames grant no. NCA2-778. [Washington, D.C: National Aeronautics and Space Administration, 1995.

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27

Multidisciplinary design optimization using multiobjective formulation techniques: Final report on NASA Ames grant no. NCA2-778. [Washington, D.C: National Aeronautics and Space Administration, 1995.

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28

United States. National Aeronautics and Space Administration., ed. AERODYNAMIC SHAPE OPTIMIZATION OF SUPERSONIC AIRCRAFT CONFIGURATIONS VIA AN ADJOINT FORMULATION ON... NASA-CR-203273... APR. 11, 1997. [S.l: s.n., 1998.

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29

Stadtfeld, Hermann J. A Closed and Fast Solution Formulation for Practice Oriented Optimization of Real Spiral Bevel and Hypoid Gear Flank Geometry. American Gear Manufacturers Association, 1990.

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30

Okasha, Samir. Wright’s Adaptive Landscape, Fisher’s Fundamental Theorem. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198815082.003.0004.

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Fitness maximization, or optimization, is a controversial idea in evolutionary biology. One classical formulation of this idea is that natural selection will tend to push a population up a peak in an adaptive landscape, as Sewall Wright first proposed. However, the hill-climbing property only obtains under particular conditions, and even then the ascent is not usually by the steepest route; this shows why it is misleading to assimilate the process of natural selection to a process of goal-directed choice. A different formulation of the idea of fitness-maximization is R. A. Fisher’s ‘fundamental theorem of natural selection’. However, the theorem points only to a weak sense in which selection is an optimizing process, for it requires that ‘environmental constancy’ be understood in a highly specific way. It does not vindicate the claim that natural selection has an intrinsic tendency to produce adaptation.
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31

Institute for Computer Applications in Science and Engineering., ed. Practical aspects of variable reduction formulations and reduced basis algorithms in multidisciplinary design optimization. Hampton, VA: Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1995.

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32

Sharif, Shamshuritawati. Quantitative methods & their application in multidisciplinary area. UUM Press, 2016. http://dx.doi.org/10.32890/9789670876504.

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This book is a guide for researchers who are involved in statistical and decision science analyses.Both analyses are explained in detail with samples of real applications in daily life to assist readers to appreciate theoretical and mathematical formulations. It covers a wide variety of applications, including economic issues, i.e., stock markets, quality control in the garment industry, customer satisfaction in the banking industry, experimental design in electronic firms, performance of university web portals, daily fat intake, the optimization of shrimp catching activities, meal planning for nurseries and as well as fairness model in economic games.Understanding these analyses can assist researchers to prepare research reports and manuscripts more efficiently.
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