Academic literature on the topic 'Convex mirror'
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Journal articles on the topic "Convex mirror"
Watanabe, Takeo, Tsuneyuki Haga, Masahito Niibe, and Hiroo Kinoshita. "Design of beamline optics for EUVL." Journal of Synchrotron Radiation 5, no. 3 (May 1, 1998): 1149–52. http://dx.doi.org/10.1107/s0909049597017536.
Full textMazzae, Elizabeth N., W. Riley Garrott, and Anthony J. Cacioppo. "Utility Assessment of Side Object Detection Systems for Heavy Trucks." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 38, no. 9 (October 1994): 466–70. http://dx.doi.org/10.1177/154193129403800903.
Full textJanson, Anthony F. "THE CONVEX MIRROR AS VANITAS SYMBOL." Source: Notes in the History of Art 4, no. 2/3 (January 1985): 51–54. http://dx.doi.org/10.1086/sou.4.2_3.23202426.
Full textLiu, Xuan, Junhong Deng, King Fai Li, Mingke Jin, Yutao Tang, Xuecai Zhang, Xing Cheng, Hong Wang, Wei Liu, and Guixin Li. "Optical telescope with Cassegrain metasurfaces." Nanophotonics 9, no. 10 (April 10, 2020): 3263–69. http://dx.doi.org/10.1515/nanoph-2020-0012.
Full textFeng Zhang, Feng Zhang. "Fabrication and testing of optical free-form convex mirror." Chinese Optics Letters 13, s1 (2015): S12202–312205. http://dx.doi.org/10.3788/col201513.s12202.
Full textLounici, K. "Generalized mirror averaging and D-convex aggregation." Mathematical Methods of Statistics 16, no. 3 (September 2007): 246–59. http://dx.doi.org/10.3103/s1066530707030040.
Full textHeidmann, A., P. F. Cohadon, and M. Pinard. "Thermal noise of a plano-convex mirror." Physics Letters A 263, no. 1-2 (November 1999): 27–32. http://dx.doi.org/10.1016/s0375-9601(99)00704-5.
Full textKrohl, Robert. "A convex lens as a thick mirror." Physics Teacher 26, no. 1 (January 1988): 18. http://dx.doi.org/10.1119/1.2342406.
Full textFadili, Jalal, Jérôme Malick, and Gabriel Peyré. "Sensitivity Analysis for Mirror-Stratifiable Convex Functions." SIAM Journal on Optimization 28, no. 4 (January 2018): 2975–3000. http://dx.doi.org/10.1137/17m113825x.
Full textAlaruri, Sami D. "45.5X Infinity Corrected Schwarzschild Microscope Objective Lens Design." International Journal of Measurement Technologies and Instrumentation Engineering 7, no. 1 (January 2018): 17–37. http://dx.doi.org/10.4018/ijmtie.2018010102.
Full textDissertations / Theses on the topic "Convex mirror"
Zhang, Xiangwen 1984. "Mean curvature flow for Lagrangian submanifolds with convex potentials." Thesis, McGill University, 2008. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=111593.
Full textTimmons, Jeffrey Wayne. "Theory and Poetry: John Ashbery's "Self-portrait in a Convex Mirror"." PDXScholar, 1994. https://pdxscholar.library.pdx.edu/open_access_etds/4898.
Full textOh, Chang Jin, Andrew E. Lowman, Matt Dubin, Greg Smith, Eric Frater, Chunyu Zhao, and James H. Burge. "Modern technologies of fabrication and testing of large convex secondary mirrors." SPIE-INT SOC OPTICAL ENGINEERING, 2016. http://hdl.handle.net/10150/622427.
Full textHe, Niao. "Saddle point techniques in convex composite and error-in-measurement optimization." Diss., Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/54400.
Full textAdamec, Martin. "Problematika pozorování objektů v dopravním zrcadle." Master's thesis, Vysoké učení technické v Brně. Ústav soudního inženýrství, 2013. http://www.nusl.cz/ntk/nusl-232838.
Full textLu, Zhaosong. "Algorithm Design and Analysis for Large-Scale Semidefinite Programming and Nonlinear Programming." Diss., Georgia Institute of Technology, 2005. http://hdl.handle.net/1853/7151.
Full textFlammarion, Nicolas. "Stochastic approximation and least-squares regression, with applications to machine learning." Thesis, Paris Sciences et Lettres (ComUE), 2017. http://www.theses.fr/2017PSLEE056/document.
Full textMany problems in machine learning are naturally cast as the minimization of a smooth function defined on a Euclidean space. For supervised learning, this includes least-squares regression and logistic regression. While small problems are efficiently solved by classical optimization algorithms, large-scale problems are typically solved with first-order techniques based on gradient descent. In this manuscript, we consider the particular case of the quadratic loss. In the first part, we are interestedin its minimization when its gradients are only accessible through a stochastic oracle. In the second part, we consider two applications of the quadratic loss in machine learning: clustering and estimation with shape constraints. In the first main contribution, we provided a unified framework for optimizing non-strongly convex quadratic functions, which encompasses accelerated gradient descent and averaged gradient descent. This new framework suggests an alternative algorithm that exhibits the positive behavior of both averaging and acceleration. The second main contribution aims at obtaining the optimal prediction error rates for least-squares regression, both in terms of dependence on the noise of the problem and of forgetting the initial conditions. Our new algorithm rests upon averaged accelerated gradient descent. The third main contribution deals with minimization of composite objective functions composed of the expectation of quadratic functions and a convex function. Weextend earlier results on least-squares regression to any regularizer and any geometry represented by a Bregman divergence. As a fourth contribution, we consider the the discriminative clustering framework. We propose its first theoretical analysis, a novel sparse extension, a natural extension for the multi-label scenario and an efficient iterative algorithm with better running-time complexity than existing methods. The fifth main contribution deals with the seriation problem. We propose a statistical approach to this problem where the matrix is observed with noise and study the corresponding minimax rate of estimation. We also suggest a computationally efficient estimator whose performance is studied both theoretically and experimentally
McCord, Kyle 1984. "Recklessness and Light." Thesis, University of North Texas, 2014. https://digital.library.unt.edu/ark:/67531/metadc700018/.
Full textKwon, Joon. "Stratégies de descente miroir pour la minimisation du regret et l'approchabilité." Thesis, Paris 6, 2016. http://www.theses.fr/2016PA066276/document.
Full textIn Chapter I, we present the online linear optimization problem and study Mirror Descent strategies. Chapter II focuses on the case where the Decision Maker has a finite set of actions. We establish in Chapter III that FTPL strategies belong to the Mirror Descent family. In Chapter IV, we construct Mirror Descent strategies for Blackwell's approachability. They are then applied to the construction of optimal strategies for online combinatorial optimization and internal/swap regret minimization. Chapter V studies the regret minimization problem with the additional assumption that the payoff vectors have at most $s$ nonzero components. We show that gains and losses are fundamentally different by deriving optimal regret bounds of different orders for those two cases. Chapter VI studies Blackwell's approachability with partial monitoring. We establish that optimal convergence rates are $O(T^{-1/2})$ in the case of outcome-dependent signals, and $O(T^{-1/3})$ in the general case. Chapter VII defines Mirror Descent strategies in continuous-time for which we establish a no-regret property. A comparison between discrete and continuous-time is then conducted. Chapter VIII establish a universal bound on the variations of bounded convex functions. As a byproduct, we obtain that every bounded convex function is Lipschitz continuous with respect to the Hilbert metric
Klukas, Mirko [Verfasser], and Hansjörg [Akademischer Betreuer] Geiges. "Constructions of open books and applications of convex surfaces in contact topology / Mirko Klukas. Gutachter: Hansjörg Geiges." Köln : Universitäts- und Stadtbibliothek Köln, 2012. http://d-nb.info/1038233240/34.
Full textBooks on the topic "Convex mirror"
Gargantua in a a convex mirror: Fischart's view of Rabelais. New York: Peter Lang, 1986.
Find full textTonelli, Maria Cristina, ed. Giovanni Klaus Koenig. Florence: Firenze University Press, 2020. http://dx.doi.org/10.36253/978-88-5518-191-4.
Full textSelf-Portrait in a Convex Mirror: Poems (Penguin Poets). Penguin (Non-Classics), 1990.
Find full textChénetier, Marc, Olivier Brossard, John Ashbery, and Pierre Alféry. Autoportrait dans un miroir convexe: Édition critique. JOCA SERIA, 2020.
Find full textBoyd Maunsell, Jerome. Introduction. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198789369.003.0001.
Full textMarat, Erica. A Mirror of Society. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190861490.003.0001.
Full textRychterová, Pavlína. A Crooked Mirror for Princes. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199394852.003.0010.
Full textSchoeman, Kobus, ed. Churches in the mirror: Developing contemporary ecclesiologies. SunBonani Scholar, 2020. http://dx.doi.org/10.18820/9781928424710.
Full textBook chapters on the topic "Convex mirror"
Mechel, Fridolin. "Mirror Sources in Convex Rooms." In Room Acoustical Fields, 391–411. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-22356-3_18.
Full textJ. Zaslavski, Alexander. "The Mirror Descent Algorithm." In Convex Optimization with Computational Errors, 83–125. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-37822-6_3.
Full textHerd, David. "John Ashbery's: Self-Portrait in a Convex Mirror." In A Companion to Twentieth-Century Poetry, 536–46. Malden, MA, USA: Blackwell Publishing Ltd, 2007. http://dx.doi.org/10.1002/9780470998670.ch44.
Full textBaes, Michel, Timm Oertel, Christian Wagner, and Robert Weismantel. "Mirror-Descent Methods in Mixed-Integer Convex Optimization." In Facets of Combinatorial Optimization, 101–31. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38189-8_5.
Full textNazin, Alexander. "Algorithms of Inertial Mirror Descent in Stochastic Convex Optimization Problems." In Analytical and Computational Methods in Probability Theory, 376–87. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-71504-9_31.
Full textBayandina, Anastasia, Pavel Dvurechensky, Alexander Gasnikov, Fedor Stonyakin, and Alexander Titov. "Mirror Descent and Convex Optimization Problems with Non-smooth Inequality Constraints." In Large-Scale and Distributed Optimization, 181–213. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-97478-1_8.
Full textMorse, Margaret A. "The absent body as divine reflection in Parmigianino’s Self-Portrait in a Convex Mirror." In Binding the Absent Body in Medieval and Modern Art, 133–52. New York: Routledge, [2017]: Routledge, 2017. http://dx.doi.org/10.4324/9781315096322-8.
Full textAlkousa, Mohammad S. "On Modification of an Adaptive Stochastic Mirror Descent Algorithm for Convex Optimization Problems with Functional Constraints." In Forum for Interdisciplinary Mathematics, 47–63. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-8498-5_3.
Full textGhandehari, Mohammad, and Mohsen Feyzbakhsh. "Facing mirrors." In Reading the Bible in Islamic Context, 88–100. New York : Routledge, 2018. | Series: Routledge biblical interpretation in Islamic context series ; 1: Routledge, 2017. http://dx.doi.org/10.4324/9781315106748-6.
Full textDaly, Jonathan. "Russian Punishments in the European Mirror." In Russia in the European Context, 1789–1914, 161–88. New York: Palgrave Macmillan US, 2005. http://dx.doi.org/10.1057/9781403982261_10.
Full textConference papers on the topic "Convex mirror"
Dhalwar, Suraj, Sneha Ruby, Sachin Salgar, and Bhanuprakash Padiri. "Image Processing based Traffic Convex Mirror Detection." In 2019 Fifth International Conference on Image Information Processing (ICIIP). IEEE, 2019. http://dx.doi.org/10.1109/iciip47207.2019.8985794.
Full textDelabre, B. "Test setup for large size deformable convex mirrors and application to 8 m convex secondary mirror for ELT's." In 2nd International Symposium on Advanced Optical Manufacturing and Testing Technologies, edited by Yudong Zhang, Wenhan Jiang, and Myung K. Cho. SPIE, 2006. http://dx.doi.org/10.1117/12.674045.
Full textHossain, Md Mahabub, Jun Yeop Lee, and Seong Ho Kong. "Fabrication of a MEMS based symmetrically deformarle convex mirror." In 2017 IEEE 30th International Conference on Micro Electro Mechanical Systems (MEMS). IEEE, 2017. http://dx.doi.org/10.1109/memsys.2017.7863493.
Full textMcKechnie, T. Stewart. "Interferometric test method for testing convex aspheric mirror surfaces." In SPIE Astronomical Telescopes + Instrumentation. SPIE, 2010. http://dx.doi.org/10.1117/12.856564.
Full textMeng, Xiaohui, Yonggang Wang, Ang Li, and Wenqing Li. "Ion beam figuring of Φ520mm convex hyperbolic secondary mirror." In International Symposium on Optoelectronic Technology and Application 2016, edited by Min Xu and Ji Yang. SPIE, 2016. http://dx.doi.org/10.1117/12.2243825.
Full textter Horst, Rik, and Remko Stuik. "Manufacturing and testing of a convex aspherical mirror for ASSIST." In SPIE Astronomical Telescopes + Instrumentation, edited by Ramón Navarro, Colin R. Cunningham, and Eric Prieto. SPIE, 2012. http://dx.doi.org/10.1117/12.926126.
Full textEdwards, C. L., and M. L. Edwards. "A generalized electrostatic micro-mirror (GEM) model for a two-axis convex piecewise linear shaped MEMS mirror." In SPIE Defense, Security, and Sensing, edited by Thomas George, M. Saif Islam, and Achyut K. Dutta. SPIE, 2009. http://dx.doi.org/10.1117/12.818838.
Full textBurge, James H., David S. Anderson, Tomas D. Milster, and Cynthia L. Vernold. "Measurement of a convex secondary mirror using a holographic test plate." In 1994 Symposium on Astronomical Telescopes & Instrumentation for the 21st Century, edited by Larry M. Stepp. SPIE, 1994. http://dx.doi.org/10.1117/12.176180.
Full textWang, Huijun, Jin Xu, Peng Wang, Ang Li, Wen Guo, and Yan Du. "Study on optical fabrication and metrology of precise convex aspheric mirror." In Eighth International Symposium on Advanced Optical Manufacturing and Testing Technology (AOMATT2016), edited by Wenhan Jiang, Li Yang, Oltmann Riemer, Shengyi Li, and Yongjian Wan. SPIE, 2016. http://dx.doi.org/10.1117/12.2242636.
Full textMeng, Xiaohui, Huiwen Dong, Wen Guo, and Huijun Wang. "Study on the method to test large-aperture hyperboloid convex mirror." In 7th International Symposium on Advanced Optical Manufacturing and Testing Technologies (AOMATT 2014), edited by Li Yang, Eric Ruch, and Shengyi Li. SPIE, 2014. http://dx.doi.org/10.1117/12.2068025.
Full textReports on the topic "Convex mirror"
Timmons, Jeffrey. Theory and Poetry: John Ashbery's "Self-portrait in a Convex Mirror". Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.6774.
Full textCummings, Patrick J. Context, Culture, and Connection: Avoiding the Counter-Productive Effects of Mirror Imaging In Theater Security Cooperation. Fort Belvoir, VA: Defense Technical Information Center, April 2008. http://dx.doi.org/10.21236/ada483878.
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