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Relevant bibliographies by topics / Numeric integration

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Academic literature on the topic 'Numeric integration'

Author: Grafiati

Published: 4 June 2021

Last updated: 17 February 2022

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Journal articles on the topic "Numeric integration"

1

Moir, Robert H. C., Robert M. Corless, Marc Moreno Maza, and Ning Xie. "Symbolic-numeric integration of rational functions." Numerical Algorithms 83, no. 4 (2019): 1295–320. http://dx.doi.org/10.1007/s11075-019-00726-6.

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da Silva, Paulo Sérgio Pereira, Emmanuel Delaleau, and Iderval Silva de Souza. "ON GEOMETRIC CONTROL AND NUMERIC INTEGRATION OF DAE'S." IFAC Proceedings Volumes 38, no. 1 (2005): 658–63. http://dx.doi.org/10.3182/20050703-6-cz-1902.00765.

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Ben-David, Arie, and Leon Sterling. "Symbolic and numeric knowledge integration in multiple fault troubleshooting." Expert Systems with Applications 2, no. 4 (1991): 353–59. http://dx.doi.org/10.1016/0957-4174(91)90041-c.

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Reyes, J. A., F. García-Alonso, J. M. Ferrándiz, and J. Vigo-Aguiar. "Numeric multistep variable methods for perturbed linear system integration." Applied Mathematics and Computation 190, no. 1 (2007): 63–79. http://dx.doi.org/10.1016/j.amc.2007.01.017.

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Donadello, Ivan, and Luciano Serafini. "Integration of numeric and symbolic information for semantic image interpretation." Intelligenza Artificiale 10, no. 1 (2016): 33–47. http://dx.doi.org/10.3233/ia-160093.

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Draucker, Claire Burke, Susan M. Rawl, Emilee Vode, and Lisa Carter-Harris. "Integration Through Connecting in Explanatory Sequential Mixed Method Studies." Western Journal of Nursing Research 42, no. 12 (2020): 1137–47. http://dx.doi.org/10.1177/0193945920914647.

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The purposes of this methods article are to (a) discuss how integration can occur through a connecting approach in explanatory sequential mixed methods studies, (b) describe a connecting strategy developed for a study testing a conceptual model to predict lung cancer screening, and (c) describe three analytic products developed by subsequent integration procedures enabled by the connecting strategy. Connecting occurs when numeric data from a quantitative strand of a study are used to select a sample to be interviewed for a subsequent qualitative strand. Because researchers often do not fully e

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Havu, V., V. Blum, P. Havu, and M. Scheffler. "Efficient integration for all-electron electronic structure calculation using numeric basis functions." Journal of Computational Physics 228, no. 22 (2009): 8367–79. http://dx.doi.org/10.1016/j.jcp.2009.08.008.

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Bower, Hannah, Michael J. Crowther, and Paul C. Lambert. "Strcs: A Command for Fitting Flexible Parametric Survival Models on the Log-hazard Scale." Stata Journal: Promoting communications on statistics and Stata 16, no. 4 (2016): 989–1012. http://dx.doi.org/10.1177/1536867x1601600410.

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In this article, we describe strcs, a user-written command for fitting flexible parametric survival models on the log-hazard scale. strcs is an extension of the user-written stgenreg command (Crowther and Lambert, 2013b, Journal of Statistical Software 53(12): 1–17), which fits general parametric models with user-defined hazard functions using numerical integration. strcs implements a two-step method that incorporates both analytical and numerical integration to estimate the cumulative hazard function required for the log-likelihood function. This method improves the accuracy of the fully nume

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UEDA, HIROAKI, HIDEAKI KIMOTO, TAKESHI NARAKI, KENICHI TAKAHASHI, and TETSUHIRO MIYAHARA. "CATEGORIZATION OF CONTINUOUS NUMERIC PERCEPTS BY MODIFIED FUZZY ART WITH Q-LEARNING." International Journal of Pattern Recognition and Artificial Intelligence 20, no. 02 (2006): 113–27. http://dx.doi.org/10.1142/s0218001406004557.

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We propose a new method to categorize continuous numeric percepts for Q-learning, where percept vectors are classified into categories on the basis of fuzzy ART and Q-learning uses categories as states to acquire rules for agent behavior. For efficient learning, we modify fuzzy ART to reduce the number of categories without deteriorating the efficiency of reinforcement learning. In our modification, a vigilance parameter is defined for each category in order to control the size of a category and it is updated during learning. The method to update a vigilance parameter is based on category inte

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Anai, Hirokazu, Shinji Hara, and Masaaki Kanno. "Plant/controller design integration for H2 control based on symbolic-numeric hybrid optimization." Communications in Information and Systems 11, no. 3 (2011): 281–306. http://dx.doi.org/10.4310/cis.2011.v11.n3.a5.

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Dissertations / Theses on the topic "Numeric integration"

1

Carvajal, Orlando A. "A Hybrid Symbolic-Numeric Method for Multiple Integration Based on Tensor-Product Series Approximations." Thesis, University of Waterloo, 2004. http://hdl.handle.net/10012/1157.

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This work presents a new hybrid symbolic-numeric method for fast and accurate evaluation of multiple integrals, effective both in high dimensions and with high accuracy. In two dimensions, the thesis presents an adaptive two-phase algorithm for double integration of continuous functions over general regions using Frederick W. Chapman's recently developed Geddes series expansions to approximate the integrand. These results are extended to higher dimensions using a novel Deconstruction/Approximation/Reconstruction Technique (DART), which facilitates the dimensional reduction of families of

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Meléndez, i. Frigola Joaquim. "Integration of knowledge-based, qualitative and numeric tools for real time dynamic systems supervision." Doctoral thesis, Universitat de Girona, 1998. http://hdl.handle.net/10803/7708.

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The proposal presented in this thesis is to provide designers of knowledge based supervisory systems of dynamic systems with a framework to facilitate their tasks avoiding interface problems among tools, data flow and management.<br/>The approach is thought to be useful to both control and process engineers in assisting their tasks. The use of AI technologies to diagnose and perform control loops and, of course, assist process supervisory tasks such as fault detection and diagnose, are in the scope of this work. Special effort has been put in integration<br/>of tools for assisting expert super

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Iša, Radek. "Efektivní výpočty vícenásobných integrálů." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2017. http://www.nusl.cz/ntk/nusl-363877.

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This thesis deals with the design system for multiple integrals for diferential expression with space variables. Today, integration is one of engineering problems. Reader is acquainted with different method of integration, then with numerican integration and Taylor series. The practical aim of this work is to design software and hardware system of numerican integration multiple integrals.

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Matečný, František. "Hardwarová realizace numerického integrátoru s metodou vyššího řádu." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2018. http://www.nusl.cz/ntk/nusl-385907.

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This work describes numerical integration and solution for ordinary differential equations by the Taylor series by different types of integrators. The next part is a description of floating point and fixed point arithmetic. Subsequently, we are presenting designs and calculation methods for parallels multiplication and division integrators in floating point and fixed point arithmetic. The designs were realized in VHDL and implemented on FPGA. Finally we summarizes the proposed solution and compare time complexity with another numerical methods.

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Berry, Matthew M. "A Variable-Step Double-Integration Multi-Step Integrator." Diss., Virginia Tech, 2004. http://hdl.handle.net/10919/11155.

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A new method of numerical integration is presented here, the variable-step Stormer-Cowell method. The method uses error control to regulate the step size, so larger step sizes can be taken when possible, and is double-integration, so only one evaluation per step is necessary when integrating second-order differential equations. The method is not variable-order, because variable-order algorithms require a second evaluation. The variable-step Stormer-Cowell method is designed for space surveillance applications,which require numerical integration methods to track orbiting objects accurately. Bec

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Opálka, Jan. "Automatické řízení výpočtu ve specializovaném výpočetním systému." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2016. http://www.nusl.cz/ntk/nusl-363728.

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This work deals with the automatic control of calculations of specialized system. The reader is acquainted with the numerical solution of differential equations by Taylor series method and numerical integrators. The practical aim of this work is to analyze parallel characteristics of Taylor series method, specification of parallel math operations and design of control of this operations.

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Kraus, Michal. "Paralelní výpočetní architektury založené na numerické integraci." Doctoral thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2013. http://www.nusl.cz/ntk/nusl-261227.

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This thesis deals with continuous system simulation. The systems can be described by system of differential equations or block diagram. Differential equations are usually solved by numerical methods that are integrated into simulation software such as Matlab, Maple or TKSL. Taylor series method has been used for numerical solutions of differential equations. The presented method has been proved to be both very accurate and fast and also procesed in parallel systems. The aim of the thesis is to design, implement and compare a few versions of the parallel system.

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Lastdrager, Boris. "Numerical time integration on sparse grids." [S.l. : Amsterdam : s.n.] ; Universiteit van Amsterdam [Host], 2002. http://dare.uva.nl/document/64526.

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Adamík, Pavel. "Řízení dynamických systémů v reálném čase." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2009. http://www.nusl.cz/ntk/nusl-236759.

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This thesis focuses on the methodology of controlling dynamic systems in real time. It contents a review of the control theory basis and the elementary base of regulators construction. Then the list of matemathic formulaes follows as well as the math basis for the system simulations using a difeerential count and the problem of difeerential equations solving. Furthermore, there is a systematic approach to the design of general regulator enclosed, using modern simulation techniques. After the results confirmation in the Matlab system, the problematics of transport delay & quantization modelling

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Ou, Rongfu. "Parallel numerical integration methods for nonlinear dynamics." Diss., Georgia Institute of Technology, 1990. http://hdl.handle.net/1853/18181.

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Books on the topic "Numeric integration"

1

Crouch, P. E. On the numeric integration of dynamic attitude equations. National Aeronautics and Space Administration, 1992.

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Keast, Patrick, and Graeme Fairweather, eds. Numerical Integration. Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3889-2.

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Espelid, Terje O., and Alan Genz, eds. Numerical Integration. Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-2646-5.

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Evans, Gwynne. Practical numerical integration. Wiley, 1993.

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Brass, H., and G. Hämmerlin, eds. Numerical Integration IV. Birkhäuser Basel, 1993. http://dx.doi.org/10.1007/978-3-0348-6338-4.

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Braß, H., and G. Hämmerlin, eds. Numerical Integration III. Birkhäuser Basel, 1988. http://dx.doi.org/10.1007/978-3-0348-6398-8.

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Hairer, Ernst, Gerhard Wanner, and Christian Lubich. Geometric Numerical Integration. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-662-05018-7.

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1946-, Ueberhuber Christoph W., ed. Computational integration. Society for Industrial and Applied Mathematics, 1998.

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9

Davis, Philip J. Methods of numerical integration. 2nd ed. Dover Publications, 2007.

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10

Handbook of integration. Jones and Bartlett, 1992.

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Book chapters on the topic "Numeric integration"

1

Lyakhov, Dmitry A., Vladimir P. Gerdt, Andreas G. Weber, and Dominik L. Michels. "Symbolic-Numeric Integration of the Dynamical Cosserat Equations." In Computer Algebra in Scientific Computing. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-66320-3_22.

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Ramazanov, Marat D., and Dzhangir Y. Rakhmatullin. "Parallel Algorithms of Numeric Integration Using Lattice Cubature Formulas." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03275-2_16.

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Engeler, E., and R. Mäder. "Scientific computation: The integration of symbolic, numeric and graphic computation." In EUROCAL '85. Springer Berlin Heidelberg, 1985. http://dx.doi.org/10.1007/3-540-15983-5_14.

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Sánchez, Vianey Guadalupe Cruz, Gerardo Reyes Salgado, Osslan Osiris Vergara Villegas, Joaquín Perez Ortega, and Azucena Montes Rendón. "Compilation of Symbolic Knowledge and Integration with Numeric Knowledge Using Hybrid Systems." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11579427_2.

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Späth, Helmuth. "Numerische Integration." In Numerik. Vieweg+Teubner Verlag, 1994. http://dx.doi.org/10.1007/978-3-322-89220-1_4.

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Bartels, Sören. "Numerische Integration." In Numerik 3x9. Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-48203-2_14.

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Scholz, Daniel. "Numerische Integration." In Numerik interaktiv. Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-52940-9_6.

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Johansson, Robert. "Integration." In Numerical Python. Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-4246-9_8.

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Johansson, Robert. "Integration." In Numerical Python. Apress, 2015. http://dx.doi.org/10.1007/978-1-4842-0553-2_8.

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Hämmerlin, Günther, and Karl-Heinz Hoffman. "Integration." In Numerical Mathematics. Springer New York, 1991. http://dx.doi.org/10.1007/978-1-4612-4442-4_7.

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Conference papers on the topic "Numeric integration"

1

Geddes, K. O., and G. J. Fee. "Hybrid symbolic-numeric integration in MAPLE." In Papers from the international symposium. ACM Press, 1992. http://dx.doi.org/10.1145/143242.143262.

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Noda, M. T., and E. Miyahiro. "On the symbolic/numeric hybrid integration." In the international symposium. ACM Press, 1990. http://dx.doi.org/10.1145/96877.96973.

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Zheng, Jianhua, Rong Zhu, MingLiang Jiang, Di Li, and Fang Li. "Model Integration Framework for Computer Numeric Control System Design." In 2009 International Conference on Computational Intelligence and Software Engineering. IEEE, 2009. http://dx.doi.org/10.1109/cise.2009.5362902.

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Simonov, Mikhail. "Geometric numeric integration in the event-driven measurement method." In 2016 Second International Conference on Event-based Control, Communication, and Signal Processing (EBCCSP). IEEE, 2016. http://dx.doi.org/10.1109/ebccsp.2016.7605247.

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DeArmon, James, Daniel Greenbaum, Karol Kerns, Craig Wanke, and Chau Nguyen. "User Evaluation of Numeric Attributes of Automatically-Generated Reroutes." In 11th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference. American Institute of Aeronautics and Astronautics, 2011. http://dx.doi.org/10.2514/6.2011-6847.

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Liiva, Kristjan, Paul B. Jackson, Grant O. Passmore, and Christoph M. Wintersteiger. "Compositional Taylor Model Based Validated Integration." In 2018 20th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC). IEEE, 2018. http://dx.doi.org/10.1109/synasc.2018.00020.

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Salle, Paola, Frederic Duvert, Daniele Herin, and Stefano A. Cerri. "Dynamic Workflow in Grid-MAS Integration Context." In 2007 Ninth International Symposium on Symbolic and Numeric Algorithms for Scientific Computing. IEEE, 2007. http://dx.doi.org/10.1109/synasc.2007.68.

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Simonov, Mikhail. "Symplectic numeric integration for coarse-grained event-driven electricity metering." In 2014 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe). IEEE, 2014. http://dx.doi.org/10.1109/isgteurope.2014.7028860.

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Trimbitas, Radu Tiberiu, and Maria Gabriela Trimbitas. "Gauss-Lobatto-Kronrod Formulae and Adaptive Numerical Integration." In 2008 10th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing. IEEE, 2008. http://dx.doi.org/10.1109/synasc.2008.27.

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Rodila, D., and D. Gorgan. "Integration of Spatial Data Infrastructures with Grid Environment." In 12th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC 2010). IEEE, 2010. http://dx.doi.org/10.1109/synasc.2010.63.

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Reports on the topic "Numeric integration"

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Lester, Brian T., and Kevin Nicholas Long. Numerical Integration of Viscoelastic Models. Office of Scientific and Technical Information (OSTI), 2019. http://dx.doi.org/10.2172/1567985.

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Osborne, A. R. Extremely Fast Numerical Integration of Ocean Surface Wave Dynamics. Defense Technical Information Center, 2007. http://dx.doi.org/10.21236/ada578324.

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Allen, Christopher K. Preserving Simplecticity in the Numerical Integration of Linear Beam Optics. Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1408583.

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Masalma, Yahya, and Yu Jiao. Technical Report: Scalable Parallel Algorithms for High Dimensional Numerical Integration. Office of Scientific and Technical Information (OSTI), 2010. http://dx.doi.org/10.2172/990238.

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Zoller, Miklos. Error Analysis on Numerical Integration Algorithms in a Hypoelasticity Framework. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1806423.

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Austin, M. High Order Integration of Smooth Dynamical Systems: Theory and Numerical Experiments. Defense Technical Information Center, 1991. http://dx.doi.org/10.21236/ada445569.

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Robinson, Eric. Comparing Three Types of Numerical Techniques for the Integration of Perturbed Satellite Motion. Office of Scientific and Technical Information (OSTI), 2010. http://dx.doi.org/10.2172/1117981.

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Judd, Kenneth L., and Ben Skrainka. High performance quadrature rules: how numerical integration affects a popular model of product differentiation. Institute for Fiscal Studies, 2011. http://dx.doi.org/10.1920/wp.cem.2011.0311.

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Peacock, Thomas. Nonlinear Internal Tide Generation at the Luzon Strait: Integrating Laboratory Data with Numerics and Observation. Defense Technical Information Center, 2009. http://dx.doi.org/10.21236/ada531824.

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Bammann, Douglas J., G. C. Johnson, Esteban B. Marin, and Richard A. Regueiro. On the formulation, parameter identification and numerical integration of the EMMI model :plasticity and isotropic damage. Office of Scientific and Technical Information (OSTI), 2006. http://dx.doi.org/10.2172/883488.

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