Books on the topic 'Stochastic second order methods'
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Kakihara, Yūichirō. Multidimensional second order stochastic processes. Singapore: World Scientific, 1997.
Lan, Guanghui. First-order and Stochastic Optimization Methods for Machine Learning. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39568-1.
Shepherd, Adrian J. Second-Order Methods for Neural Networks. London: Springer London, 1997. http://dx.doi.org/10.1007/978-1-4471-0953-2.
Strassert, Günter. The balancing principle, strict superiority relations, and a transitive overall final order of options. Karlsruhe: Institut für Regionalwissenschaft der Universität Karlsruhe, 2000.
Otmani, Zoulikha Zaidi ep. Numerical methods for second order parabolic partial differential equations. Uxbridge: Brunel University, 1986.
Aamir, Shabbir, and United States. National Aeronautics and Space Administration., eds. Methods of ensuring realizability for non-realizable second order closures. [Washington, DC]: National Aeronautics and Space Administration, 1994.
Shepherd, Adrian J. Second-order methods for neural networks: Fast and reliable training methods for multi-layer perceptrons. London: Springer, 1997.
Krispin, J. Second-order Godunov methods and self-similar steady supersonic three-dimensional flowfields. Washington, D. C: American Institute of Aeronautics and Astronautics, 1991.
Courcelle, B. Graph structure and monadic second-order logic: A language-theoretic approach. Cambridge: Cambridge University Press, 2012.
Heinrich, Bernd. Finite difference methods on irregular networks: A generalized approach to second order elliptic problems. Basel: Birkhäuser Verlag, 1987.
Heinrich, Bernd. Finite difference methods on irregular networks: A generalized approach to second order elliptic problems. Berlin: Akademie-Verlag, 1987.
International Conference on Spectral and High Order Methods (2nd 1992 Montpellier, France). ICOSAHOM'92: Selected papers from the second International Conference on Spectral and High Order Methods, Montpellier, France, 22-26 June 1992. Amsterdam: North-Holland, 1994.
I, Bogachev V., N. V. Krylov, Michael Röckner, and Stanislav V. Shaposhnikov. Fokker-Planck-Kolmogorov equations. Providence, Rhode Island: American Mathematical Society, 2015.
Ammari, Habib. Imaging, multi-scale, and high-contrast partial differential equations: Seoul ICM 2014 Satellite Conference, August 7-9, 2014, Daejeon, Korea. Providence, Rhode Island: American Mathematical Society, 2016.
Aizenman, Michael. Random operators: Disorder effects on quantum spectra and dynamics. Providence, Rhode Island: American Mathematical Society, 2015.
Workshop in Nonlinear Elliptic Partial Differential Equations (2009 Université libre de Bruxelles). Nonlinear elliptic partial differential equations: Workshop in celebration of Jean-Pierre Gossez's 65th birthday, September 2-4, 2009, Université libre de Bruxelles, Belgium. Edited by Gossez J. P. 1943- and Bonheure Denis. Providence, R.I: American Mathematical Society, 2011.
UIMP-RSME Santaló Summer School (2010 University of Granada). Geometric analysis: Partial differential equations and surfaces : UIMP-RSME Santaló Summer School geometric analysis, June 28-July 2, 2010, University of Granada, Granada, Spain. Edited by Pérez Joaquín 1966- and Galvez José A. 1972-. Providence, R.I: American Mathematical Society, 2012.
Gesztesy, Fritz, Barry Simon, H. Holden, and Gerald Teschl. Spectral analysis, differential equations, and mathematical physics: A festschrift in honor of Fritz Gesztesy's 60th birthday. Providence, Rhode Island: American Mathematical Society, 2013.
Chemodurov, Vladimir, and Ella Litvinova. Physical and mathematical modeling of building systems. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1014191.
Sequeira, A., H. Beirão da Veiga, and V. A. Solonnikov. Recent advances in partial differential equations and applications: International conference in honor of Hugo Beirao de Veiga's 70th birthday, February 17-214, 2014, Levico Terme (Trento), Italy. Edited by Rădulescu, Vicenţiu D., 1958- editor. Providence, Rhode Island: American Mathematical Society, 2016.
Conference on Multi-scale and High-contrast PDE: from Modelling, to Mathematical Analysis, to Inversion (2011 Oxford, England). Multi-scale and high-contrast PDE: From modelling, to mathematical analysis, to inversion : Conference on Multi-scale and High-contrast PDE:from Modelling, to Mathematical Analysis, to Inversion, June 28-July 1, 2011, University of Oxford, United Kingdom. Edited by Ammari Habib, Capdeboscq Yves 1971-, and Kang Hyeonbae. Providence, R.I: American Mathematical Society, 2010.
Zhukova, Galina. Differential equations. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1072180.
Lan, Guanghui. First-Order and Stochastic Optimization Methods for Machine Learning. Springer International Publishing AG, 2021.
Lan, Guanghui. First-order and Stochastic Optimization Methods for Machine Learning. Springer, 2020.
Cerrai, Sandra. Second Order PDE's in Finite & Infinite Dimensions. Springer, 2001.
Shepherd, Adrian J. Second-Order Methods for Neural Networks: Fast and Reliable Training Methods for Multi-Layer Perceptrons. Springer, 2014.
Shepherd, Adrian J. Second-Order Methods for Neural Networks: Fast and Reliable Training Methods for Multi-Layer Perceptrons. Springer London, Limited, 2012.
Mitchell, Andrew. Second-order Learning in Developmental Evaluation: New Methods for Complex Conditions. Palgrave Pivot, 2018.
Mitchell, Andrew. Second-order Learning in Developmental Evaluation: New Methods for Complex Conditions. Palgrave Pivot, 2018.
Chen, Nan. Stochastic Methods for Modeling and Predicting Complex Dynamical Systems: Uncertainty Quantification, State Estimation, and Reduced-Order Models. Springer International Publishing AG, 2023.
Pozdnyakov, Vladimir, Joseph Glaz, and Sylvan Wallenstein. Scan Statistics: Methods and Applications. Springer London, Limited, 2009.
Wang, Junping. Asymptotic expansions and L [infinity symbol]-error estimates for mixed finite element methods for second order elliptic problems. 1988.
Edmunds, D. E., and W. D. Evans. Second-Order Differential Operators on Arbitrary Open Sets. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198812050.003.0007.
Heinrich, Bernd. Finite Difference Methods on Irregular Networks: A Generalized Approach to Second Order Elliptic Problems (Intl Series Numerical Mathematic, Vol 82). Birkhauser, 1988.
Implementing Families of Implicit Chebyshev Methods with Exact Coefficients for the Numerical Integration of First- and Second-Order Differential Equations. Storming Media, 2002.
Castillo, Enrique, N. Balakrishnan, and Jose Maria Sarabia. Advances in Distribution Theory, Order Statistics, and Inference (Statistics for Industry and Technology). Birkhäuser Boston, 2007.
Krylov, Nicolai V., Michael Rockner, Vladimir I. Bogachev, and Stanislav V. Shaposhnikov. Fokker-Planck-Kolmogorov Equations. American Mathematical Society, 2015.
Ratner, Bruce. Statistical and Machine-Learning Data Mining: Techniques for Better Predictive Modeling and Analysis of Big Data, Second Edition. Taylor & Francis Group, 2013.
Glaz, Joseph, Joseph Naus, and Sylvan Wallenstein. Scan Statistics. Springer London, Limited, 2013.
Glaz, Joseph, Joseph Naus, and Sylvan Wallenstein. Scan Statistics (Springer Series in Statistics). Springer, 2001.
Kresin, Gershon. Maximum principles and sharp constants for solutions of elliptic and parabolic systems. 2012.
Kubek, Maria M., and Zhong Li, eds. Autonomous Systems 2018. VDI Verlag, 2018. http://dx.doi.org/10.51202/9783186862105.
Nitzan, Abraham. Chemical Dynamics in Condensed Phases. Oxford University Press, 2006. http://dx.doi.org/10.1093/oso/9780198529798.001.0001.
Henriksen, Niels E., and Flemming Y. Hansen. Theories of Molecular Reaction Dynamics. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198805014.001.0001.
Lopes, Dominic McIver. Aesthetics in Three Dimensions. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198796657.003.0002.
Lopes, Dominic McIver. Aesthetics and Philosophy of Art. Edited by Herman Cappelen, Tamar Szabó Gendler, and John Hawthorne. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780199668779.013.11.
Ross, John, Igor Schreiber, and Marcel O. Vlad. Determination of Complex Reaction Mechanisms. Oxford University Press, 2006. http://dx.doi.org/10.1093/oso/9780195178685.001.0001.
Boudreau, Joseph F., and Eric S. Swanson. Classical spin systems. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198708636.003.0020.
Hugh, Beale, Bridge Michael, Gullifer Louise, and Lomnicka Eva. Part III Registration and Other Perfection Requirements, 9 Registration and Other Perfection Requirements. Oxford University Press, 2018. http://dx.doi.org/10.1093/law/9780198795568.003.0009.
Maquet, Pierre, and Julien Fanielle. Neuroimaging in normal sleep and sleep disorders. Edited by Sudhansu Chokroverty, Luigi Ferini-Strambi, and Christopher Kennard. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199682003.003.0011.