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1

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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2

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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3

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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4

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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5

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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6

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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7

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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8

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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9

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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10

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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11

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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12

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

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13

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

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14

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

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15

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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16

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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17

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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18

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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19

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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20

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

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21

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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22

Murav'ev, Dmitriy, Aleksandr Rahmangulov, Nikita Osincev, Sergey Kornilov, and Aleksandr Cyganov. The system "seaport - "dry" port". INFRA-M Academic Publishing LLC., 2022. http://dx.doi.org/10.12737/1816639.

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The monograph presents an approach to solving the problem of increasing the throughput and processing capacity of seaports in conditions of limiting their territorial dislocation and increasing the unevenness of external and internal cargo flows. The basis of the approach is the proposed system of the main parameters of the dry port and the methodology of simulation modeling of the functioning of the system "seaport - dry port". The material is illustrated with examples of the implementation of the developed approach, including model scenarios of multi-agent optimization of the parameters of t
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23

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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24

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

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25

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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26

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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27

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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28

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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29

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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30

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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31

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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32

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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33

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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34

Machining Dynamics and Parameters Process Optimization. MDPI, 2021. http://dx.doi.org/10.3390/books978-3-0365-0295-3.

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35

Urbicain, Gorka Urbicain, and Daniel Olvera Trejo. Machining Dynamics and Parameters Process Optimization. Mdpi AG, 2021.

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36

Lyashko, S. I. Generalized Optimal Control of Linear Systems with Distributed Parameters. Springer, 2013.

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37

Lyashko, S. I. Generalized Optimal Control of Linear Systems with Distributed Parameters. Springer London, Limited, 2006.

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38

Optimization of Parameters for a Nuclear Gas Turbine Plant. Creative Media Partners, LLC, 2021.

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39

Jr, Valder Steffen, and Fran Sérgio Lobato. Multi-Objective Optimization Problems: Concepts and Self-Adaptive Parameters with Mathematical and Engineering Applications. Springer, 2017.

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40

Tsoy, L. G. Optimization of Parameters for Ships Navigating in Ice: Collected Works. Cambridge Scholars Publishing, 2022.

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41

Lyashko, S. I. Generalized Optimal Control of Linear Systems with Distributed Parameters (Applied Optimization). Springer, 2002.

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42

Moayyedian, Mehdi. Intelligent Optimization of Mold Design and Process Parameters in Injection Molding. Springer, 2018.

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43

Njiri, Jackson G., Bernard W. Ikua, and George N. Nyakoe. Optimization of machining parameters for ball-end milling: Case study of sculptured surfaces. LAP Lambert Academic Publishing, 2011.

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44

Adelgren, Nathan. Advancing Parametric Optimization: On Multiparametric Linear Complementarity Problems with Parameters in General Locations. Springer International Publishing AG, 2021.

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45

Singh, Kanwal. Optimization of Process Parameters of Powder Mixed Electric Discharge Machining for D2 Steel. GRIN Verlag GmbH, 2018.

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46

SURI, Gurvir. Optimization of Process Parameters of Friction Stir Welding of Aa6061-T6 and Aa6082-t6. Independently Published, 2018.

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47

Optimization of the Velocity Azimuth Display (VAD) Algorithm's Adaptable Parameters in the WSR-88D System. Storming Media, 1997.

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48

National Aeronautics and Space Administration (NASA) Staff. User's Manual for an Aerodynamic Optimization Scheeme That Updates Flow Variables and Design Parameters Simultaneously. Independently Published, 2018.

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49

Aerodynamic optimization by simultaneously updating flow variables and design parameters with application to advanced propeller designs. National Aeronautics and Space Administration, 1988.

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50

Electrical Discharge Machining. Optimization of Chromium Powder Mixed Edm Parameters During Machining of H13 Tool Steel. Anchor Academic Publishing. ein Imprint der Diplomica Verlag GmbH, 2018.

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