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Journal articles on the topic 'Design optimal'

Author: Grafiati

Published: 25 January 2025

Last updated: 19 July 2025

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1

Rabady, Rabi. "Optimal design of optical resonant filter." Optical Engineering 48, no. 5 (2009): 054602. http://dx.doi.org/10.1117/1.3137162.

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2

Friedman, Avner, and Bryce McLeod. "Optimal design of an optical lens." Archive for Rational Mechanics and Analysis 99, no. 2 (1987): 147–64. http://dx.doi.org/10.1007/bf00275875.

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3

Håkansson, Andreas, and José Sánchez-Dehesa. "Optimal design of microscaled scattering optical elements." Applied Physics Letters 87, no. 19 (2005): 193506. http://dx.doi.org/10.1063/1.2126134.

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4

Lee, Sang woo, and Dae young Shin. "P-45 Optimal Design of Selection Valve by Design of Experiment." Abstracts of ATEM : International Conference on Advanced Technology in Experimental Mechanics : Asian Conference on Experimental Mechanics 2007.6 (2007): _P—45–1_—_P—45–6_. http://dx.doi.org/10.1299/jsmeatem.2007.6._p-45-1_.

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5

Lovíšek, Ján. "Optimal design of laminated plate with obstacle." Applications of Mathematics 37, no. 5 (1992): 321–42. http://dx.doi.org/10.21136/am.1992.104514.

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6

Banks, H. T., and K. L. Rehm. "PARAMETER ESTIMATION IN DISTRIBUTED SYSTEMS: OPTIMAL DESIGN." Eurasian Journal of Mathematical and Computer Applications 2, no. 1 (2014): 70–80. http://dx.doi.org/10.32523/2306-3172-2014-2-1-70-80.

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7

Preethi, G., and Prince G. Arulraj. "Optimal Design of Axially Loaded RC Columns." Bonfring International Journal of Industrial Engineering and Management Science 6, no. 3 (2016): 78–81. http://dx.doi.org/10.9756/bijiems.7345.

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8

Georgiadis, George, and Balazs Szentes. "Optimal Monitoring Design." Econometrica 88, no. 5 (2020): 2075–107. http://dx.doi.org/10.3982/ecta16475.

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This paper considers a Principal–Agent model with hidden action in which the Principal can monitor the Agent by acquiring independent signals conditional on effort at a constant marginal cost. The Principal aims to implement a target effort level at minimal cost. The main result of the paper is that the optimal information‐acquisition strategy is a two‐threshold policy and, consequently, the equilibrium contract specifies two possible wages for the Agent. This result provides a rationale for the frequently observed single‐bonus wage contracts.

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9

Smucker, Byran, Martin Krzywinski, and Naomi Altman. "Optimal experimental design." Nature Methods 15, no. 8 (2018): 559–60. http://dx.doi.org/10.1038/s41592-018-0083-2.

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10

Emery, A. F., and Aleksey V. Nenarokomov. "Optimal experiment design." Measurement Science and Technology 9, no. 6 (1998): 864–76. http://dx.doi.org/10.1088/0957-0233/9/6/003.

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11

Ahsan, S. T. "Optimal window design." IEEE Potentials 21, no. 5 (2003): 39–43. http://dx.doi.org/10.1109/mp.2002.1166625.

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12

Wake, Bronwyn. "Optimal city design." Nature Climate Change 9, no. 7 (2019): 499. http://dx.doi.org/10.1038/s41558-019-0523-8.

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13

Allen, Franklin, and Douglas Gale. "Optimal Security Design." Review of Financial Studies 1, no. 3 (1988): 229–63. http://dx.doi.org/10.1093/rfs/1.3.229.

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14

Piskorski, Tomasz, and Alexei Tchistyi. "Optimal Mortgage Design." Review of Financial Studies 23, no. 8 (2010): 3098–140. http://dx.doi.org/10.1093/rfs/hhq031.

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15

Ellman, Matthew, and Sjaak Hurkens. "Optimal crowdfunding design." Journal of Economic Theory 184 (November 2019): 104939. http://dx.doi.org/10.1016/j.jet.2019.104939.

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16

Fedorov, Valerii. "Optimal experimental design." Wiley Interdisciplinary Reviews: Computational Statistics 2, no. 5 (2010): 581–89. http://dx.doi.org/10.1002/wics.100.

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17

Jaffe, Jules. "Underwater Optical Imaging: The Design of Optimal Systems." Oceanography 1, no. 2 (1988): 40–41. http://dx.doi.org/10.5670/oceanog.1988.09.

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18

Zhu, Furong, Philip Jennings, John Cornish, Glenn Hefter, and Kazimierz Luczak. "Optimal optical design of thin-film photovoltaic devices." Solar Energy Materials and Solar Cells 49, no. 1-4 (1997): 163–69. http://dx.doi.org/10.1016/s0927-0248(97)00191-8.

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19

Yabe, Akira. "Optimal selection of aspheric surfaces in optical design." Optics Express 13, no. 18 (2005): 7233. http://dx.doi.org/10.1364/opex.13.007233.

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20

Agarwal, Y. K., and Prahalad Venkateshan. "Near optimal design of wavelength routed optical networks." European Journal of Operational Research 250, no. 3 (2016): 990–1000. http://dx.doi.org/10.1016/j.ejor.2015.10.023.

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21

Lu, Shenglin, Xianmin Zhang, and Yongcong Kuang. "Optimal illuminator design for automatic optical inspection systems." International Journal of Computer Applications in Technology 37, no. 2 (2010): 101. http://dx.doi.org/10.1504/ijcat.2010.032199.

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22

Geiger, Florian, Jan Gade, Malte von Scheven, and Manfred Bischoff. "Optimal Design of Adaptive Structures vs. Optimal Adaption of Structural Design." IFAC-PapersOnLine 53, no. 2 (2020): 8363–69. http://dx.doi.org/10.1016/j.ifacol.2020.12.1604.

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23

Wittmuess, Philipp, Michael Heidingsfeld, and Oliver Sawodny. "Optimal Actuator Design for Optimal Output Controllability." IFAC-PapersOnLine 49, no. 21 (2016): 234–39. http://dx.doi.org/10.1016/j.ifacol.2016.10.556.

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24

Olsson, Ing-Marie, Johan Gottfries, and Svante Wold. "D-optimal onion designs in statistical molecular design." Chemometrics and Intelligent Laboratory Systems 73, no. 1 (2004): 37–46. http://dx.doi.org/10.1016/j.chemolab.2004.04.001.

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25

Liang, Yen Chu, and Yun Ping Sun. "Optimal Design of Microaccelerometer." Key Engineering Materials 381-382 (June 2008): 431–34. http://dx.doi.org/10.4028/www.scientific.net/kem.381-382.431.

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This paper presents a nonlinear optimization design of microaccelerometer. The sensitivity rates with respect to the structural sizes, for example, length, width, and depth, are simulated before we start the optimal design. Four types of microaccelerometers are investigated that the maxima sensitivity and bandwidth are taken into the design specification. The results meet the requirement of large bandwidth successfully.

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26

Zlenko, Nikolay Alekseevich, Andrey Vladimirovich Kedrov, and Anatoliy Nikolaevich Kishalov. "OPTIMAL AEROACOUSTIC PROPELLER DESIGN." TsAGI Science Journal 42, no. 6 (2011): 829–44. http://dx.doi.org/10.1615/tsagiscij.2012004802.

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27

Wright, Donald J. "Optimal Global Patent Design." Journal of Institutional and Theoretical Economics 161, no. 1 (2005): 18. http://dx.doi.org/10.1628/0932456054254425.

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28

Dave, Upendra, and Friedrich Pukelsheim. "Optimal Design of Experiments." Journal of the Operational Research Society 45, no. 8 (1994): 961. http://dx.doi.org/10.2307/2584025.

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29

Draper, Norman R., and Friedrich Pukelsheim. "Optimal Design of Experiments." Journal of the American Statistical Association 89, no. 426 (1994): 713. http://dx.doi.org/10.2307/2290880.

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30

Hartline, Jason D., and Brendan Lucier. "Non-Optimal Mechanism Design." American Economic Review 105, no. 10 (2015): 3102–24. http://dx.doi.org/10.1257/aer.20130712.

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The optimal allocation of resources in complex environments—like allocation of dynamic wireless spectrum, cloud computing services, and Internet advertising—is computationally challenging even given the true preferences of the participants. In the theory and practice of optimization in complex environments, a wide variety of special and general purpose algorithms have been developed; these algorithms produce outcomes that are satisfactory but not generally optimal or incentive compatible. This paper develops a very simple approach for converting any, potentially non-optimal, algorithm for opti

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31

McGree, J. M., and J. A. Eccleston. "PROBABILITY-BASED OPTIMAL DESIGN." Australian & New Zealand Journal of Statistics 50, no. 1 (2008): 13–28. http://dx.doi.org/10.1111/j.1467-842x.2007.00497.x.

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32

HANAHARA, Kazuyuki. "Abstraction-Oriented Optimal Design." Proceedings of Mechanical Engineering Congress, Japan 2019 (2019): J12105. http://dx.doi.org/10.1299/jsmemecj.2019.j12105.

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33

Bailly, Gilles, and Antti Oulasvirta. "Toward optimal menu design." Interactions 21, no. 4 (2014): 40–45. http://dx.doi.org/10.1145/2617814.

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34

Notz, William I. "Topics in Optimal Design." Journal of the American Statistical Association 98, no. 461 (2003): 249–50. http://dx.doi.org/10.1198/jasa.2003.s252.

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35

Vaccaro, R. J., and B. F. Harrison. "Optimal matrix-filter design." IEEE Transactions on Signal Processing 44, no. 3 (1996): 705–9. http://dx.doi.org/10.1109/78.489044.

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36

Roughgarden, Tim. "Approximately optimal mechanism design." ACM SIGecom Exchanges 13, no. 2 (2015): 4–20. http://dx.doi.org/10.1145/2728732.2728733.

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37

Seno, Flavio, Michele Vendruscolo, Amos Maritan, and Jayanth R. Banavar. "Optimal Protein Design Procedure." Physical Review Letters 77, no. 9 (1996): 1901–4. http://dx.doi.org/10.1103/physrevlett.77.1901.

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38

Dave, Upendra. "Optimal Design of Experiments." Journal of the Operational Research Society 45, no. 8 (1994): 961–62. http://dx.doi.org/10.1057/jors.1994.153.

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39

MAGHSOODLOO, SAEED, and MING-HSIEN CALEB LI. "Optimal asymmetric tolerance design." IIE Transactions 32, no. 12 (2000): 1127–37. http://dx.doi.org/10.1080/07408170008967467.

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40

Mohammadi, B., and O. Pironneau. "Applied optimal shape design." Journal of Computational and Applied Mathematics 149, no. 1 (2002): 193–205. http://dx.doi.org/10.1016/s0377-0427(02)00529-0.

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41

Aksoy, Bülent, and A. Burcu Altan-Sakarya. "Optimal lined channel design." Canadian Journal of Civil Engineering 33, no. 5 (2006): 535–45. http://dx.doi.org/10.1139/l06-008.

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The optimum values of the section variables (side slope, bottom width, flow depth, and radius) for triangular, rectangular, trapezoidal, and circular channels are computed by minimizing the cost of the channel section. Manning's uniform flow formula is treated as the constraint of the optimization model. The cost function is arranged to include the cost of lining, the cost of earthwork, and the increment in the cost of earthwork with depth below the ground surface. The optimum values of section variables are expressed as explicit functions of unit cost terms. Unique values of optimum section v

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42

Borkowski, John J. "Optimal Design of Experiments." Technometrics 36, no. 2 (1994): 214–16. http://dx.doi.org/10.1080/00401706.1994.10485769.

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43

Meller, Russell D., Venkat Narayanan, and Pamela H. Vance. "Optimal facility layout design." Operations Research Letters 23, no. 3-5 (1998): 117–27. http://dx.doi.org/10.1016/s0167-6377(98)00024-8.

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44

Mussati, Sergio, Pio Aguirre, and Nicolás J. Scenna. "Optimal MSF plant design." Desalination 138, no. 1-3 (2001): 341–47. http://dx.doi.org/10.1016/s0011-9164(01)00283-1.

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45

Døskeland, Trond M., and Helge A. Nordahl. "Optimal pension insurance design." Journal of Banking & Finance 32, no. 3 (2008): 382–92. http://dx.doi.org/10.1016/j.jbankfin.2007.05.006.

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46

Roughgarden, Tim, and Inbal Talgam-Cohen. "Approximately Optimal Mechanism Design." Annual Review of Economics 11, no. 1 (2019): 355–81. http://dx.doi.org/10.1146/annurev-economics-080218-025607.

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The field of optimal mechanism design enjoys a beautiful and well-developed theory, as well as several killer applications. Rules of thumb produced by the field influence everything from how governments sell wireless spectrum licenses to how the major search engines auction off online advertising. There are, however, some basic problems for which the traditional optimal mechanism design approach is ill suited—either because it makes overly strong assumptions or because it advocates overly complex designs. This article reviews several common issues with optimal mechanisms, including exorbitant

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47

Tobias, Randall D. "Optimal Design of Experiments." Journal of Quality Technology 27, no. 1 (1995): 93–94. http://dx.doi.org/10.1080/00224065.1995.11979568.

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48

Weaire, D., and R. Phelan. "Optimal design of honeycombs." Nature 367, no. 6459 (1994): 123. http://dx.doi.org/10.1038/367123a0.

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49

Kim, Young-Il. "Exact Constrained Optimal Design." Communications for Statistical Applications and Methods 16, no. 2 (2009): 299–308. http://dx.doi.org/10.5351/ckss.2009.16.2.299.

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50

PEDREGAL, PABLO, and YUAN ZHANG. "OPTIMAL DESIGN FOR MULTIMATERIALS." Analysis and Applications 10, no. 04 (2012): 413–38. http://dx.doi.org/10.1142/s0219530512500200.

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We explore how some ideas that have been used before for optimal design problems with two materials through a variational approach, can be extended to cover three or more materials. In particular, we focus on two paradigmatic situations where we consider a linear-in-the-gradient cost functional, and a typical quadratic situation. In both cases, we are able to formulate, quite explicitly, a full relaxation of the problem through which optimal microstructures for the original non-convex problem can be understood.

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