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1

Rabady, Rabi. "Optimal design of optical resonant filter". Optical Engineering 48, n.º 5 (1 de maio de 2009): 054602. http://dx.doi.org/10.1117/1.3137162.

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2

Friedman, Avner, e Bryce McLeod. "Optimal design of an optical lens". Archive for Rational Mechanics and Analysis 99, n.º 2 (junho de 1987): 147–64. http://dx.doi.org/10.1007/bf00275875.

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3

Håkansson, Andreas, e José Sánchez-Dehesa. "Optimal design of microscaled scattering optical elements". Applied Physics Letters 87, n.º 19 (7 de novembro de 2005): 193506. http://dx.doi.org/10.1063/1.2126134.

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4

Lee, Sang woo, e 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, n.º 5 (1992): 321–42. http://dx.doi.org/10.21136/am.1992.104514.

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6

Banks, H. T., e K. L. Rehm. "PARAMETER ESTIMATION IN DISTRIBUTED SYSTEMS: OPTIMAL DESIGN". Eurasian Journal of Mathematical and Computer Applications 2, n.º 1 (2014): 70–80. http://dx.doi.org/10.32523/2306-3172-2014-2-1-70-80.

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7

Preethi, G., e Prince G. Arulraj. "Optimal Design of Axially Loaded RC Columns". Bonfring International Journal of Industrial Engineering and Management Science 6, n.º 3 (30 de junho de 2016): 78–81. http://dx.doi.org/10.9756/bijiems.7345.

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8

Georgiadis, George, e Balazs Szentes. "Optimal Monitoring Design". Econometrica 88, n.º 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 e Naomi Altman. "Optimal experimental design". Nature Methods 15, n.º 8 (31 de julho de 2018): 559–60. http://dx.doi.org/10.1038/s41592-018-0083-2.

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10

Emery, A. F., e Aleksey V. Nenarokomov. "Optimal experiment design". Measurement Science and Technology 9, n.º 6 (1 de junho de 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, n.º 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, n.º 7 (25 de junho de 2019): 499. http://dx.doi.org/10.1038/s41558-019-0523-8.

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13

Allen, Franklin, e Douglas Gale. "Optimal Security Design". Review of Financial Studies 1, n.º 3 (julho de 1988): 229–63. http://dx.doi.org/10.1093/rfs/1.3.229.

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14

Piskorski, Tomasz, e Alexei Tchistyi. "Optimal Mortgage Design". Review of Financial Studies 23, n.º 8 (28 de abril de 2010): 3098–140. http://dx.doi.org/10.1093/rfs/hhq031.

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15

Ellman, Matthew, e Sjaak Hurkens. "Optimal crowdfunding design". Journal of Economic Theory 184 (novembro de 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, n.º 5 (15 de julho de 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, n.º 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 e Kazimierz Luczak. "Optimal optical design of thin-film photovoltaic devices". Solar Energy Materials and Solar Cells 49, n.º 1-4 (dezembro de 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, n.º 18 (2005): 7233. http://dx.doi.org/10.1364/opex.13.007233.

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20

Agarwal, Y. K., e Prahalad Venkateshan. "Near optimal design of wavelength routed optical networks". European Journal of Operational Research 250, n.º 3 (maio de 2016): 990–1000. http://dx.doi.org/10.1016/j.ejor.2015.10.023.

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21

Lu, Shenglin, Xianmin Zhang e Yongcong Kuang. "Optimal illuminator design for automatic optical inspection systems". International Journal of Computer Applications in Technology 37, n.º 2 (2010): 101. http://dx.doi.org/10.1504/ijcat.2010.032199.

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22

Geiger, Florian, Jan Gade, Malte von Scheven e Manfred Bischoff. "Optimal Design of Adaptive Structures vs. Optimal Adaption of Structural Design". IFAC-PapersOnLine 53, n.º 2 (2020): 8363–69. http://dx.doi.org/10.1016/j.ifacol.2020.12.1604.

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23

Wittmuess, Philipp, Michael Heidingsfeld e Oliver Sawodny. "Optimal Actuator Design for Optimal Output Controllability". IFAC-PapersOnLine 49, n.º 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 e Svante Wold. "D-optimal onion designs in statistical molecular design". Chemometrics and Intelligent Laboratory Systems 73, n.º 1 (setembro de 2004): 37–46. http://dx.doi.org/10.1016/j.chemolab.2004.04.001.

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25

Liang, Yen Chu, e Yun Ping Sun. "Optimal Design of Microaccelerometer". Key Engineering Materials 381-382 (junho de 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 e Anatoliy Nikolaevich Kishalov. "OPTIMAL AEROACOUSTIC PROPELLER DESIGN". TsAGI Science Journal 42, n.º 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, n.º 1 (2005): 18. http://dx.doi.org/10.1628/0932456054254425.

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28

Dave, Upendra, e Friedrich Pukelsheim. "Optimal Design of Experiments." Journal of the Operational Research Society 45, n.º 8 (agosto de 1994): 961. http://dx.doi.org/10.2307/2584025.

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29

Draper, Norman R., e Friedrich Pukelsheim. "Optimal Design of Experiments." Journal of the American Statistical Association 89, n.º 426 (junho de 1994): 713. http://dx.doi.org/10.2307/2290880.

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30

Hartline, Jason D., e Brendan Lucier. "Non-Optimal Mechanism Design". American Economic Review 105, n.º 10 (1 de outubro de 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 optimization given the true participant preferences, into a Bayesian incentive compatible mechanism that weakly improves social welfare and revenue. (JEL D82, H82, L82)
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31

McGree, J. M., e J. A. Eccleston. "PROBABILITY-BASED OPTIMAL DESIGN". Australian & New Zealand Journal of Statistics 50, n.º 1 (março de 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, e Antti Oulasvirta. "Toward optimal menu design". Interactions 21, n.º 4 (julho de 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, n.º 461 (março de 2003): 249–50. http://dx.doi.org/10.1198/jasa.2003.s252.

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35

Vaccaro, R. J., e B. F. Harrison. "Optimal matrix-filter design". IEEE Transactions on Signal Processing 44, n.º 3 (março de 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, n.º 2 (28 de janeiro de 2015): 4–20. http://dx.doi.org/10.1145/2728732.2728733.

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37

Seno, Flavio, Michele Vendruscolo, Amos Maritan e Jayanth R. Banavar. "Optimal Protein Design Procedure". Physical Review Letters 77, n.º 9 (26 de agosto de 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, n.º 8 (agosto de 1994): 961–62. http://dx.doi.org/10.1057/jors.1994.153.

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39

MAGHSOODLOO, SAEED, e MING-HSIEN CALEB LI. "Optimal asymmetric tolerance design". IIE Transactions 32, n.º 12 (dezembro de 2000): 1127–37. http://dx.doi.org/10.1080/07408170008967467.

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40

Mohammadi, B., e O. Pironneau. "Applied optimal shape design". Journal of Computational and Applied Mathematics 149, n.º 1 (dezembro de 2002): 193–205. http://dx.doi.org/10.1016/s0377-0427(02)00529-0.

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41

Aksoy, Bülent, e A. Burcu Altan-Sakarya. "Optimal lined channel design". Canadian Journal of Civil Engineering 33, n.º 5 (1 de maio de 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 variables are obtained for the case of minimum area or minimum wetted perimeter problems. Key words: open channel design, optimization, minimum cost, best hydraulic section.
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42

Borkowski, John J. "Optimal Design of Experiments". Technometrics 36, n.º 2 (maio de 1994): 214–16. http://dx.doi.org/10.1080/00401706.1994.10485769.

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43

Meller, Russell D., Venkat Narayanan e Pamela H. Vance. "Optimal facility layout design". Operations Research Letters 23, n.º 3-5 (outubro de 1998): 117–27. http://dx.doi.org/10.1016/s0167-6377(98)00024-8.

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44

Mussati, Sergio, Pio Aguirre e Nicolás J. Scenna. "Optimal MSF plant design". Desalination 138, n.º 1-3 (setembro de 2001): 341–47. http://dx.doi.org/10.1016/s0011-9164(01)00283-1.

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45

Døskeland, Trond M., e Helge A. Nordahl. "Optimal pension insurance design". Journal of Banking & Finance 32, n.º 3 (março de 2008): 382–92. http://dx.doi.org/10.1016/j.jbankfin.2007.05.006.

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46

Roughgarden, Tim, e Inbal Talgam-Cohen. "Approximately Optimal Mechanism Design". Annual Review of Economics 11, n.º 1 (2 de agosto de 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 communication, computation, and informational requirements; it also presents several examples demonstrating that relaxing the goal to designing an approximately optimal mechanism allows us to reason about fundamental questions that seem out of reach of the traditional theory.
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47

Tobias, Randall D. "Optimal Design of Experiments". Journal of Quality Technology 27, n.º 1 (janeiro de 1995): 93–94. http://dx.doi.org/10.1080/00224065.1995.11979568.

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48

Weaire, D., e R. Phelan. "Optimal design of honeycombs". Nature 367, n.º 6459 (janeiro de 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, n.º 2 (30 de março de 2009): 299–308. http://dx.doi.org/10.5351/ckss.2009.16.2.299.

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50

PEDREGAL, PABLO, e YUAN ZHANG. "OPTIMAL DESIGN FOR MULTIMATERIALS". Analysis and Applications 10, n.º 04 (outubro de 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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