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Books on the topic 'Parameter optimization'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Morelli, Eugene A. Practical input optimization for aircraft parameter estimation experiments. National Aeronautics and Space Administration, Langley Research Center, 1993.

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2

Tiba, Dan. Optimal control of nonsmooth distributed parameter systems. Springer-Verlag, 1990.

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3

S, Holmes Michael, Ray Asok 1946-, and Lewis Research Center, eds. Design of life extending controls using nonlinear parameter optimization. National Aeronautics and Space Administration, Lewis Research Center, 1998.

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4

S, Holmes Michael, Ray Asok 1946-, and Lewis Research Center, eds. Design of life extending controls using nonlinear parameter optimization. National Aeronautics and Space Administration, Lewis Research Center, 1998.

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5

Kazimierz, Malanowski, Nahorski Zbigniew 1945-, Peszyńska Małgorzata, IFIP-WG 7. 2, International Federation for Information Processing., and International Conference on Modelling and Optimization of Distributed Parameter Systems with Applications to Engineering (1995 : Warsaw, Poland), eds. Modelling and optimization of distributed parameter systems: Applications to engineering : selected proceedings of the IFIP WG7.2 on Modelling and Optimization of Distributed Parameter Systems with Applications to Engineering, June 1995. Chapman & Hall, 1996.

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6

Chen, Youyi. Extended quasi-likelihoods and optimal estimating functions. University of Toronto, Dept. of Statistics, 1991.

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7

Malanowski, Kazimierz, Zbigniew Nahorski, and Małgorzata Peszyńska, eds. Modelling and Optimization of Distributed Parameter Systems Applications to engineering. Springer US, 1996. http://dx.doi.org/10.1007/978-0-387-34922-0.

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8

Uciński, Dariusz. Optimal measurement methods for distributed parameter system identification. CRC Press, 2005.

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9

Schmidt, Phillip. A parameter optimization approach to controller partitioning for integrated flight/propulsion control application. National Aeronautics and Space Administration, 1992.

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10

Böttcher, K. J. Efficiency comparison and parameter sensitivity of deterministic and stochastic search methods. University of the Federal Armed Forces Munich, Faculty of Aero-Space Engineering, Institute of Mathematics and Computer Sciences, 1996.

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11

T, Voth Christopher, Sanjay Swamy, and Langley Research Center, eds. Robust integrated autopilot/autothrottle design using constrained parameter optimization: Final report. NASA Langley Research Center, 1990.

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12

Bock, Hans Georg. Model Based Parameter Estimation: Theory and Applications. Springer Berlin Heidelberg, 2013.

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13

Olivas, Frumen, Fevrier Valdez, Oscar Castillo, and Patricia Melin. Dynamic Parameter Adaptation for Meta-Heuristic Optimization Algorithms Through Type-2 Fuzzy Logic. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-70851-5.

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14

S, Korkhin Arnold, and SpringerLink (Online service), eds. Regression Analysis Under A Priori Parameter Restrictions. Springer Science+Business Media, LLC, 2012.

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15

Uy-Loi, Ly, and United States. National Aeronautics and Space Administration., eds. Advanced rotorcraft control using parameter optimization: Semi-annual progress report, NASA grant NAG-2-691. National Aeronautics and Space Administration, 1991.

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16

United States. National Aeronautics and Space Administration., ed. Mixed H₂H(sub infinity)--control, with output feedback compensators using parameter optimization: Interim annual technical report. National Aeronautics and Space Administration, 1992.

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17

United States. National Aeronautics and Space Administration., ed. Mixed H₂H(sub infinity)--control, with output feedback compensators using parameter optimization: Interim annual technical report. National Aeronautics and Space Administration, 1992.

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18

United States. National Aeronautics and Space Administration., ed. Mixed H₂H(sub infinity)--control, with output feedback compensators using parameter optimization: Interim annual technical report. National Aeronautics and Space Administration, 1992.

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19

United States. National Aeronautics and Space Administration., ed. Mixed H₂H(sub infinity)--control, with output feedback compensators using parameter optimization: Interim annual technical report. National Aeronautics and Space Administration, 1992.

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20

IFIP WG 7.2 Conference (1989 Laxenburg, Austria). Modelling and inverse problems of control for distributed parameter systems: Proceedings of IFIP (W.G. 7.2), IIASA conference, Laxenburg, Austria, July 1989. Springer-Verlag, 1991.

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21

S, Salzar Robert, and Langley Research Center, eds. Optimization of residual stresses in MMC's through process parameter control and the use of heterogeneous compensating/complaint interfacial layers: OPTCOMP2 user's guide. National Aeronautics and Space Administration, 1996.

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22

S, Salzar Robert, and Langley Research Center, eds. Optimization of residual stresses in MMC's through process parameter control and the use of heterogeneous compensating/complaint interfacial layers: OPTCOMP2 user's guide. National Aeronautics and Space Administration, 1996.

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23

M, Adelman Howard, Sobieski Jaroslaw, and Langley Research Center, eds. Optimization for minimum sensitivity to uncertain parameters. National Aeronautics and Space Administration, Langley Research Center, 1994.

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24

Ewald, Schomig, and United States. National Aeronautics and Space Administration., eds. A new approach to mixed H2/H [infinity]-controller synthesis using gradient-based parameter optimization method: Final technical report ... for the period of March 15, 1900 to March 14, 1993. National Aeronautics and Space Administration, 1993.

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25

Ewald, Schomig, and United States. National Aeronautics and Space Administration., eds. A new approach to mixed H2/H [infinity]-controller synthesis using gradient-based parameter optimization method: Final technical report ... for the period of March 15, 1900 to March 14, 1993. National Aeronautics and Space Administration, 1993.

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26

M, Plencner Robert, Seidel Jonathan A, and United States. National Aeronautics and Space Administration., eds. Concurrent optimization of airframe and engine design parameters. National Aeronautics and Space Administration, 1992.

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27

Belyaev, pavel, Mihail Sokolov, and Viktor Frolov. Recycling of polymer waste to produce composites for road construction. INFRA-M Academic Publishing LLC., 2025. https://doi.org/10.12737/2155924.

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The monograph examines the problem of polymer waste disposal using the example of obtaining polymer-bitumen binders (PBBs) for road construction using large-tonnage packaging waste from high-pressure (low density) polyethylene. The composition of a complex modifier has been developed, in which expensive thermoplastic is partially replaced by cheaper high-pressure polyethylene or its waste. The possibility of obtaining polymer-bitumen binders using such a modifier in cheaper and more reliable standard vertical mixing apparatuses with paddle agitators is substantiated, which reduce energy consum

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28

Gal, Tomas. Advances in Sensitivity Analysis and Parametic Programming. Springer US, 1997.

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29

Moayyedian, Mehdi. Intelligent Optimization of Mold Design and Process Parameters in Injection Molding. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-03356-9.

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30

United States. National Aeronautics and Space Administration., ed. User's manual for an aerodynamic optimization scheme that updates flow variables and design parameters simultaneously. Flow Research, Inc., Applied Mechanics Division, 1989.

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31

Mischenko, Aleksandr, and Anastasiya Ivanova. Optimization models for managing limited resources in logistics. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1082948.

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In the proposed monograph, optimization models for managing limited resources in logical systems are considered. Such systems are primarily used by industrial enterprises, transport companies and trade organizations, including those that carry out wholesale activities. As a rule, the efficiency of these objects largely depends on how rational use of limited resources such as: consumer camera business, labor, vehicles, etc. In this paper, various approaches to managing such resources are considered both for deterministic models and for the situation when a number of model parameters are not spe

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32

S, Salzar Robert, and United States. National Aeronautics and Space Administration., eds. Optimization of residual stresses in MMC's through the variation of interfacial layer architectures and processing parameters. National Aeronautics and Space Administration, 1996.

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33

S, Salzar Robert, and United States. National Aeronautics and Space Administration., eds. Optimization of residual stresses in MMC's through the variation of interfacial layer architectures and processing parameters. National Aeronautics and Space Administration, 1996.

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34

Lerch, F. J. Optimum data weighting and error calibration for estimation of gravitational parameters. National Aeronautics and Space Administration, Goddard Space Flight Center, 1989.

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35

IUTAM Symposium on Field Analyses for Determination of Material Parameters-- Experimental and Numerical Aspects (2000 Kiruna, Sweden). IUTAM Symposium on Field Analyses for Determination of Material Parameters-- Experimental and Numerical Aspects. Kluwer Academic Publishers, 2003.

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36

Leonovich, Sergey, and Vitaliy Gurinovich. Organizational and technological solutions for reconstruction and modernization of industrial housing construction enterprises. INFRA-M Academic Publishing LLC., 2025. https://doi.org/10.12737/2180374.

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The monograph presents organizational and technological solutions for the technical re-equipment of industrial housing construction enterprises, taking into account the totality of operating production conditions, the methodology for assigning reserves of production capacities for the production of a wide range of products and changing demand for products, and production optimization solutions. The organizational and technological solutions for the development of the production base of industrial housing construction based on flexible production technology are considered in detail. For the fir

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37

Bowers, Charles Emery. An assessment of competing facility location optimization parameters: A case study of the United States Navy, Morale Welfare and Recreation Facilities. Available from National Technical Information Service, 2000.

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38

Prussing, John E. Parameter Optimization. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198811084.003.0002.

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Parameter optimization is treated as an introduction. Unconstrained and constrained cases are analysed. Necessary and sufficient conditions are derived and illustrated. Parameter optimization utilizes the theory of ordinary maxima and minima. The problem is to determine the value of the m-vector u of independent parameters (decision variables) to minimize the cost function.

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39

Barnabas, S. Godwin. Parameter Optimization in Friction Surfacing. On Demand Publishing, LLC-Create Space, 2014.

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40

(Editor), K. Malanowski, Z. Nahorski (Editor), and M. Peszynska (Editor), eds. Modelling and Optimization of Distributed Parameter Systems. Springer, 1996.

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41

Nash, John C. Nonlinear Parameter Optimization Using R Tools. Wiley & Sons, Incorporated, John, 2014.

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42

Design Optimization: Taguchi's Robust Parameter Design. McGraw-Hill, 2010.

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43

Nash, John C. Nonlinear Parameter Optimization Using R Tools. Wiley & Sons, Incorporated, John, 2014.

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44

Nonlinear Parameter Optimization Using R Tools. John Wiley & Sons Inc, 2014.

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45

Nash, John C. Nonlinear Parameter Optimization Using R Tools. Wiley & Sons, Incorporated, John, 2014.

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46

Nash, John C. Nonlinear Parameter Optimization Using R Tools. Wiley & Sons, Limited, John, 2014.

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47

Kanatani, Kenichi. 3D Rotations : Parameter Computation and Lie-Algebra Based Optimization: Parameter Computation and Lie-Algebra Based Optimization. Taylor & Francis Group, 2020.

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48

Experiments: Planning, Analysis, and Parameter Design Optimization. Wiley-Interscience, 2000.

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49

Cea, Jean, and E. J. Haug. Optimization of Distributed Parameter Structures - Volume II. Springer, 2012.

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50

Cea, Jean, and E. J. Haug. Optimization of Distributed Parameter Structures ― Volume I. Springer, 2011.

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