Academic literature on the topic 'Spectral convergence'
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Journal articles on the topic "Spectral convergence"
Deitmar, Anton. "Benjamini–Schramm and spectral convergence." L’Enseignement Mathématique 64, no. 3 (July 23, 2019): 371–94. http://dx.doi.org/10.4171/lem/64-3/4-8.
Full textKasue, Atsushi, and Hironori Kumura. "Spectral convergence of Riemannian manifolds." Tohoku Mathematical Journal 46, no. 2 (1994): 147–79. http://dx.doi.org/10.2748/tmj/1178225756.
Full textBuhmann, Martin, and Nira Dyn. "Spectral convergence of multiquadric interpolation." Proceedings of the Edinburgh Mathematical Society 36, no. 2 (June 1993): 319–33. http://dx.doi.org/10.1017/s0013091500018411.
Full textJi, Lizhen, and Richard Wentworth. "Spectral convergence on degenerating surfaces." Duke Mathematical Journal 66, no. 3 (June 1992): 469–501. http://dx.doi.org/10.1215/s0012-7094-92-06615-4.
Full textSánchez-Perales, Salvador, and Slaviša V. Djordjević. "Spectral continuity using ν-convergence." Journal of Mathematical Analysis and Applications 433, no. 1 (January 2016): 405–15. http://dx.doi.org/10.1016/j.jmaa.2015.07.069.
Full textKasue, Atsushi, and Hironori Kumura. "Spectral convergence of Riemannian manifolds, II." Tohoku Mathematical Journal 48, no. 1 (1996): 71–120. http://dx.doi.org/10.2748/tmj/1178225413.
Full textBECKUS, SIEGFRIED, and FELIX POGORZELSKI. "Delone dynamical systems and spectral convergence." Ergodic Theory and Dynamical Systems 40, no. 6 (October 22, 2018): 1510–44. http://dx.doi.org/10.1017/etds.2018.116.
Full textRowlett, Julie. "Spectral geometry and asymptotically conic convergence." Communications in Analysis and Geometry 16, no. 4 (2008): 735–98. http://dx.doi.org/10.4310/cag.2008.v16.n4.a2.
Full textMohammadi, M., and R. Schaback. "Convergence analysis of general spectral methods." Journal of Computational and Applied Mathematics 313 (March 2017): 284–93. http://dx.doi.org/10.1016/j.cam.2016.09.031.
Full textHonda, Shouhei. "Spectral convergence under bounded Ricci curvature." Journal of Functional Analysis 273, no. 5 (September 2017): 1577–662. http://dx.doi.org/10.1016/j.jfa.2017.05.009.
Full textDissertations / Theses on the topic "Spectral convergence"
Goncalves-Ferreira, Rita Alexandria. "Spectral and Homogenization Problems." Research Showcase @ CMU, 2011. http://repository.cmu.edu/dissertations/83.
Full textShipley, Brooke E. (Brooke Elizabeth). "Convergence of the homology spectral sequence of a cosimplical space." Thesis, Massachusetts Institute of Technology, 1995. http://hdl.handle.net/1721.1/36626.
Full textCarter, John. "Convergence of the Eilenberg-Moore spectral sequence for Morava K-theory /." view abstract or download file of text, 2006. http://proquest.umi.com/pqdweb?did=1251841781&sid=1&Fmt=2&clientId=11238&RQT=309&VName=PQD.
Full textTypescript. Includes vita and abstract. Includes bibliographical references (leaves 47-49). Also available for download via the World Wide Web; free to University of Oregon users.
Kong, Nayeong. "Convergence Rates of Spectral Distribution of Random Inner Product Kernel Matrices." Diss., Temple University Libraries, 2018. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/498132.
Full textPh.D.
This dissertation has two parts. In the first part, we focus on random inner product kernel matrices. Under various assumptions, many authors have proved that the limiting empirical spectral distribution (ESD) of such matrices A converges to the Marchenko- Pastur distribution. Here, we establish the corresponding rate of convergence. The strategy is as follows. First, we show that for z = u + iv ∈ C, v > 0, the distance between the Stieltjes transform m_A (z) of ESD of matrix A and Machenko-Pastur distribution m(z) is of order O (log n \ nv). Next, we prove the Kolmogorov distance between ESD of matrix A and Marchenko-Pastur distribution is of order O(3\log n\n). It is the less sharp rate for much more general class of matrices. This uses a Berry-Esseen type bound that has been employed for similar purposes for other families of random matrices. In the second part, random geometric graphs on the unit sphere are considered. Observing that adjacency matrices of these graphs can be thought of as random inner product matrices, we are able to use an idea of Cheng-Singer to establish the limiting for the ESD of these adjacency matrices.
Temple University--Theses
Hocine, Farida. "Approximation spectrale d'opérateurs." Saint-Etienne, 1993. http://www.theses.fr/1993STET4007.
Full textWei, Wang. "Analysis on GMRES convergence and some results on spectral properties of preconditioned matrices." Thesis, University of Macau, 2006. http://umaclib3.umac.mo/record=b1636825.
Full textGreen, John James. "Uniform convergence to the spectral radius and some related properties in Banach algebras." Thesis, University of Sheffield, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.242293.
Full textFerreira, Rita Alexandra Gonçalves. "Spectral and homogenization problems." Doctoral thesis, Faculdade de Ciências e Tecnologia, 2011. http://hdl.handle.net/10362/7856.
Full textFundação para a Ciência e a Tecnologia through the Carnegie Mellon | Portugal Program under Grant SFRH/BD/35695/2007, the Financiamento Base 20010 ISFL–1–297, PTDC/MAT/109973/2009 and UTA
Buyer, Paul de. "Vitesse de convergence vers l'équilibre de systèmes de particules en intéraction." Thesis, Paris 10, 2017. http://www.theses.fr/2017PA100080/document.
Full textIn this thesis, we are interested mainly by the diffusive behaviours and the speed of convergence towards equilibrium in the sense of the variance of different models of interacting particles systems and a problem of percolation.We start by introducing unformally the first subject of interest. In the study of dynamic systems, a markov process aperiodic and irreducible having an invariant measure converges towards it in a long time. In this work, we are interested to quantify the speed of this convergence by studying the variance of the semigroup associated to the dynamic applied to some set of functions. Two speeds of convergence are considered: the exponential speed of convergence implied by a spectral gap in the generator of the process; a polynomial tome of convergence called diffusive when the spectral gap is null.In the second chapter, we study the model of random walk in random environment and we prove in this context a diffusive behavior of the speed of convergence.in the third chapter, we study the simple exclusion process with degenerate rates in dimension 1 called ka1F. We prove bounds on the spectral gap in finite volume and a sub-diffusive behavior in infinite volume. In the fourth chapter, we study an unbounded spin model. We prove a relation betweden the covariance of the evolution of two masses and a random walk in a dynamic random environment.In the last chapter, we are interested in the model of percolation and the study of a conjecture studying the distance of graph in the sense of the percolation
Messaci, Fatiha. "Estimation de la densité spectrale d'un processus en temps continu par échantillonage poissonnien." Rouen, 1986. http://www.theses.fr/1986ROUES036.
Full textBooks on the topic "Spectral convergence"
Gottlieb, David. Convergence of spectral methods for hyperbolic initial-boundary value systems. Hampton, Va: Langley Research Center, 1986.
Find full textFunaro, Daniele. Convergence results for pseudospectral approximations of hyperbolic systems by a penalty type boundary treatment. Hampton,Va: ICASE, 1989.
Find full textFunaro, Daniele. Convergence results for pseudospectral approximations of hyperbolic systems by a penalty type boundary treatment. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1989.
Find full textFunaro, Daniele. Convergence results for pseudospectral approximations of hyperbolic systems by a penalty type boundary treatment. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1989.
Find full textWeber, Michel. Dynamical systems and processes. Zürich: European Mathematical Society, 2009.
Find full textSociety, European Mathematical, ed. Dynamical systems and processes. Zürich: European Mathematical Society, 2009.
Find full textHeathman, A. C. Convergence problems in the prediction of intermodulation spectra-their origins and mitigation. Bradford: University of Bradford. Postgraduate Schools of Electrical and Electronic Engineering and Information Systems Engineering, 1989.
Find full textUnited States. National Aeronautics and Space Administration., ed. The convergence of spectral methods for nonlinear conservation laws. [Washington, D.C.]: National Aeronautics and Space Administration, 1987.
Find full textBlind Image Deconvolution: Methods and Convergence. Springer, 2014.
Find full textRomanczyk, Raymond G., and John McEachin. Comprehensive Models of Autism Spectrum Disorder Treatment: Points of Divergence and Convergence. Springer, 2017.
Find full textBook chapters on the topic "Spectral convergence"
Rawitscher, George, Victo dos Santos Filho, and Thiago Carvalho Peixoto. "Convergence of Spectral." In An Introductory Guide to Computational Methods for the Solution of Physics Problems, 33–41. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-42703-4_4.
Full textDemuth, Michael, and Jan A. van Casteren. "Convergence of Resolvent Differences." In Stochastic Spectral Theory for Selfadjoint Feller Operators, 233–56. Basel: Birkhäuser Basel, 2000. http://dx.doi.org/10.1007/978-3-0348-8460-0_7.
Full textCanuto, Claudio, M. Yousuff Hussaini, Alfio Quarteroni, and Thomas A. Zang. "Theory of Stability and Convergence for Spectral Methods." In Spectral Methods in Fluid Dynamics, 315–74. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-84108-8_10.
Full textBelHadjAli, Hichem, Ali Ben Amor, and Johannes F. Brasche. "Large Coupling Convergence: Overview and New Results." In Partial Differential Equations and Spectral Theory, 73–117. Basel: Springer Basel, 2011. http://dx.doi.org/10.1007/978-3-0348-0024-2_2.
Full textWinkler, Gerhard. "The Spectral Gap and Convergence of Markov Chains." In Image Analysis, Random Fields and Markov Chain Monte Carlo Methods, 197–202. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-642-55760-6_12.
Full textHonda, Shouhei. "L p -Spectral Gap and Gromov-Hausdorff Convergence." In Springer Proceedings in Mathematics & Statistics, 371–78. Tokyo: Springer Japan, 2014. http://dx.doi.org/10.1007/978-4-431-55215-4_33.
Full textChalla, Aditya, Sravan Danda, B. S. Daya Sagar, and Laurent Najman. "An Introduction to Gamma-Convergence for Spectral Clustering." In Discrete Geometry for Computer Imagery, 185–96. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-66272-5_16.
Full textGötze, Friedrich, and Holger Kösters. "Convergence and asymptotic approximations to universal distributions in probability." In Spectral Structures and Topological Methods in Mathematics, 1–28. Zuerich, Switzerland: European Mathematical Society Publishing House, 2019. http://dx.doi.org/10.4171/197-1/1.
Full textLoubaton, Philippe, and Xavier Mestre. "Spectral Convergence of Large Block-Hankel Gaussian Random Matrices." In Trends in Mathematics, 247–80. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-62362-7_10.
Full textChum, Pharino, Seung-Min Park, Kwang-Eun Ko, and Kwee-Bo Sim. "Particle Swarm Optimization Based Optimal Spatial-Spectral-Temporal Component Search in Motor Imagery Brain-Computer Interface." In Convergence and Hybrid Information Technology, 469–76. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-32645-5_59.
Full textConference papers on the topic "Spectral convergence"
Aiello, M., F. Andreozzi, E. Catanzariti, F. Isgro, and M. Santoro. "Fast convergence for spectral clustering." In 14th International Conference on Image Analysis and Processing (ICIAP 2007). IEEE, 2007. http://dx.doi.org/10.1109/iciap.2007.4362849.
Full textChiriyath, Alex R., Andrew Herschfelt, Sharanya Srinivas, and Daniel W. Bliss. "Technological Advances to Facilitate Spectral Convergence." In 2021 55th Asilomar Conference on Signals, Systems, and Computers. IEEE, 2021. http://dx.doi.org/10.1109/ieeeconf53345.2021.9723312.
Full textKim, Kwang-Yul, Seung-Woo Lee, and Yoan Shin. "Spectral Efficiency Improvement of Chirp Spread Spectrum Systems." In 2019 International Conference on Information and Communication Technology Convergence (ICTC). IEEE, 2019. http://dx.doi.org/10.1109/ictc46691.2019.8939967.
Full textBoche, Holger, and Volker Pohl. "Approximation and Convergence Behavior of Spectral Factorization Methods." In 2007 IEEE International Symposium on Information Theory. IEEE, 2007. http://dx.doi.org/10.1109/isit.2007.4557375.
Full textJensing, E. D., Yuen-Pin Yeap, and Aly A. Farag. "Convergence properties of iterative maximum-entropy spectral estimation." In Applications in Optical Science and Engineering, edited by James M. Connelly and Shiu M. Cheung. SPIE, 1993. http://dx.doi.org/10.1117/12.143237.
Full textChristiansen, Torben B., Harry B. Bingham, Allan P. Engsig-Karup, Guillaume Ducrozet, and Pierre Ferrant. "Efficient Hybrid-Spectral Model for Fully Nonlinear Numerical Wave Tank." In ASME 2013 32nd International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/omae2013-10861.
Full textSrinivasan, Gokul, and P. K. Ajmera. "Sitar Synthesis Using Spectral Modelling Techniques." In 2019 IEEE 5th International Conference for Convergence in Technology (I2CT). IEEE, 2019. http://dx.doi.org/10.1109/i2ct45611.2019.9033925.
Full textDong Kyoo Kim and Dong Yong Kwak. "Combining power- and spectral-efficient modulations." In 2010 International Conference on Information and Communication Technology Convergence (ICTC). IEEE, 2010. http://dx.doi.org/10.1109/ictc.2010.5674265.
Full textHamel, Lutz, Neha Nahar, Maria S. Poptsova, Olga Zhaxybayeva, and J. Peter Gogarten. "Unsupervised Learning in Spectral Genome Analysis." In 2007 Frontiers in the Convergence of Bioscience and Information Technologies. IEEE, 2007. http://dx.doi.org/10.1109/fbit.2007.81.
Full textZeng, W. Q., and H. L. Liu. "The Global Convergence of a New Spectral Conjugate Gradient Method." In 2015 International Conference on Artificial Intelligence and Industrial Engineering. Paris, France: Atlantis Press, 2015. http://dx.doi.org/10.2991/aiie-15.2015.131.
Full textReports on the topic "Spectral convergence"
Lewis, Dustin. Three Pathways to Secure Greater Respect for International Law concerning War Algorithms. Harvard Law School Program on International Law and Armed Conflict, 2020. http://dx.doi.org/10.54813/wwxn5790.
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