Relevant bibliographies by topics / Numerical methods in physics

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Numerical methods in physics'

Author: Grafiati
Published: 24 April 2022

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Journal articles on the topic "Numerical methods in physics"

1

Garcia, Alejandro L., and A. John Mallinckrodt. "Numerical Methods for Physics." Computers in Physics 9, no. 1 (1995): 55. http://dx.doi.org/10.1063/1.4823372.

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Koren, Barry, Rémi Abgrall, Pavel Bochev, Jason Frank, and Blair Perot. "Physics-compatible numerical methods." Journal of Computational Physics 257 (January 2014): 1039. http://dx.doi.org/10.1016/j.jcp.2013.10.015.

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Garcia, Alejandro L., and Patrick Hamill. "Post‐Use Review: Numerical Methods for Physics." American Journal of Physics 63, no. 3 (1995): 283–85. http://dx.doi.org/10.1119/1.1807232.

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Song, Daegene. "Data Analysis in an Entanglement Network Using Numerical Methods." NeuroQuantology 20, no. 2 (2022): 158–64. http://dx.doi.org/10.14704/nq.2022.20.2.nq22084.

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While the foundation of quantum theory has been debated, its pragmatism has made it enormously productive. Establishing secret keys over long distances has been realized in the real world. Once considered only a hype, quantum computers have also been implemented in laboratories and are performing computations that are superior to their classical counterparts. In this paper, building on previous work, three 2-level entangled states are studied. In particular, the extensive range of states that yield the near-optimal result when entanglement swapping is applied at joints is numerically examined.
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Laue, Hans. "Elementary numerical integration methods." American Journal of Physics 56, no. 9 (1988): 849–50. http://dx.doi.org/10.1119/1.15441.

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Johnson, M. R., and G. J. Kearley. "Neutrons and numerical methods." Neutron News 9, no. 4 (1998): 17–24. http://dx.doi.org/10.1080/10448639808233472.

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Bridges, Thomas J., and Sebastian Reich. "Numerical methods for Hamiltonian PDEs." Journal of Physics A: Mathematical and General 39, no. 19 (2006): 5287–320. http://dx.doi.org/10.1088/0305-4470/39/19/s02.

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Jiang, Kai, and Pingwen Zhang. "Numerical methods for quasicrystals." Journal of Computational Physics 256 (January 2014): 428–40. http://dx.doi.org/10.1016/j.jcp.2013.08.034.

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OKAWA, HIROTADA. "INITIAL CONDITIONS FOR NUMERICAL RELATIVITY: INTRODUCTION TO NUMERICAL METHODS FOR SOLVING ELLIPTIC PDEs." International Journal of Modern Physics A 28, no. 22n23 (2013): 1340016. http://dx.doi.org/10.1142/s0217751x13400162.

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Numerical relativity became a powerful tool to investigate the dynamics of binary problems with black holes or neutron stars as well as the very structure of General Relativity. Although public numerical relativity codes are available to evolve such systems, a proper understanding of the methods involved is quite important. Here, we focus on the numerical solution of elliptic partial differential equations. Such equations arise when preparing initial data for numerical relativity, but also for monitoring the evolution of black holes. Because such elliptic equations play an important role in ma
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Kinsella, A. "Numerical methods for error evaluation." American Journal of Physics 54, no. 5 (1986): 464–66. http://dx.doi.org/10.1119/1.14588.

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Dissertations / Theses on the topic "Numerical methods in physics"

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Skorobogatiy, Maksim 1974. "Numerical methods in condensed matter physics." Thesis, Massachusetts Institute of Technology, 2000. http://hdl.handle.net/1721.1/82756.

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Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2000.<br>Includes bibliographical references (leaves 62-63).<br>by Maksim A. Skorobogatiy.<br>M.Eng.
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Rossi, Francesco <1987&gt. "Numerical and Analytical Methods for Laser-Plasma Acceleration Physics." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2015. http://amsdottorato.unibo.it/6771/.

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Theories and numerical modeling are fundamental tools for understanding, optimizing and designing present and future laser-plasma accelerators (LPAs). Laser evolution and plasma wave excitation in a LPA driven by a weakly relativistically intense, short-pulse laser propagating in a preformed parabolic plasma channel, is studied analytically in 3D including the effects of pulse steepening and energy depletion. At higher laser intensities, the process of electron self-injection in the nonlinear bubble wake regime is studied by means of fully self-consistent Particle-in-Cell simulations. Conside
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Mertens, James B. "Application of Methods from Numerical Relativity to Late-Universe Cosmology." Case Western Reserve University School of Graduate Studies / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=case1484497200032472.

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Tognarelli, Paul. "Numerical methods in non-perturbative quantum field theory." Thesis, University of Nottingham, 2017. http://eprints.nottingham.ac.uk/47651/.

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This thesis applies techniques of non-perturbative quantum field theory for solving both bosonic and fermionic systems dynamically on a lattice. The methods are first implemented in a bosonic system to examine the quantum decay of a scalar field oscillon in 2+1D. These configurations are a class of very long-lived, quasi-periodic, non-topological soliton. Classically, they last much longer than the natural timescales in the system, but gradually emit energy to eventually decay. Taking the oscillon to be the inhomogeneous, (quantum) mean field of a self-interacting scalar field enables an exami
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Besselman, Michael J. "Advanced Numerical Methods in General Relativistic Magnetohydrodynamics." BYU ScholarsArchive, 2012. https://scholarsarchive.byu.edu/etd/3394.

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We show our work to refine the process of evolutions in general relativistic magnetohydrodynamics. We investigate several areas in order to improve the overall accuracy of our results. We test several versions of conversion methodologies between different sets of variables. We compare both single equation and two equations solvers to do the conversion. We find no significant improvement for multiple equation conversion solvers when compared to single equation solvers. We also investigate the construction of initial data and the conversion of coordinate systems between initial data code and evo
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Zarate-Escudero, Francisco Antonio. "The application of numerical methods to problems in the physics of fracture." Thesis, Queen Mary, University of London, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.283663.

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Masoudi, Husain Muhammad Y. "Parallel numerical methods for analysing optical devices with the BPM." Thesis, University of Glasgow, 1995. http://theses.gla.ac.uk/2858/.

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In this work, some developments in the theory of modelling integrated optical devices are discussed. The theory of the Beam Propagation Method (BPM) to analyse longitudinal optical waveguides is established. The BPM is then formulated and implemented numerically to study both two and three-dimensional optical waveguides using several Finite-Difference (FD) techniques. For the 2-D analysis, comparisons between the performance of the implicit Crank Nicholson (CN), the explicit Real Space (RS) and the Explicit Finite-Difference (EFD) are made through systematic tests on slab waveguide geometries.
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Xu, Guang-Hui. "Exploratory studies of group theoretic methods in atomic physics." Scholarly Commons, 1989. https://scholarlycommons.pacific.edu/uop_etds/2189.

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The properties of a physical system are determined by its equation of motion, and every such equation admits one-parameter groups which keep the equation invariant. Thus, for a particular system, if one can find the generator of a one-parameter group which keeps the equation and some further function or functional invariant, then one can change this system into others by changing the parameter, while keeping some properties constant. In this way, one can tell why different systems have some common properties. More importantly, one can use this method to find relationships between the physical
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Boholm, Kylesten Karl-Fredrik. "Numerical methods for design of the transfer line of the ESSnuSB project : Independent Project in Engineering Physics." Thesis, Uppsala universitet, FREIA, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-385675.

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ESS neutrino Super Beam (ESSnuSB) is a project that aim to create ahigh energy beam of neutrinos and anti-neutrinos to study thephenomenon neutrino oscillation and learn more about symmetryviolations in quantum mechanics. To create the neutrino beam, negativeHydrogen ions must be transported from the ESS linear accelerator at2.5 GeV, to a proton accumulation ring. This is done through a transferline, that shall direct the ion beam while preserve the beam as much aspossible. In thisproject, there was an attempt at finding a design for this transferline. Preferably, the line consists of a long m
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Choi, Eunwoo. "Numerical Hydrodynamics of Relativistic Extragalactic Jets." Digital Archive @ GSU, 2007. http://digitalarchive.gsu.edu/phy_astr_diss/13.

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This dissertation describes a multidimensional relativistic hydrodynamic code which solves the special relativistic hydrodynamic equations as a hyperbolic system of conservation laws based on the total variation diminishing (TVD) scheme. Several standard tests and test simulations are presented to demonstrate the accuracy, robustness and flexibility of the code. Using this code we have studied three-dimensional hydrodynamic interactions of relativistic extragalactic jets with two-phase ambient media. The deflection angle of the jet is influenced more by the density contrast of the cloud than b
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Books on the topic "Numerical methods in physics"

1

Numerical methods for physics. Prentice Hall, 1994.

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Martin, Olga Ioana. Numerical methods in mathematical physics. Denbridge Press, 2006.

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Avella, Adolfo. Strongly Correlated Systems: Numerical Methods. Springer Berlin Heidelberg, 2013.

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Beale, J. T. Vortex Flows and Related Numerical Methods. Springer Netherlands, 1993.

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Numerical methods in photonics. CRC Press, 2014.

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P, Boujot J., SpringerLink (Online service), and International Conference on Numerical Methods in Fluid Dynamics, eds. Ninth International Conference on Numerical Methods in Fluid Dynamics. Springer Berlin Heidelberg, 1985.

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Mendes, Nathan, Marx Chhay, Julien Berger, and Denys Dutykh. Numerical Methods for Diffusion Phenomena in Building Physics. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-31574-0.

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Samarskiĭ, A. A. Numerical methods for grid equations. Birkhäuser Verlag, 1989.

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Bandrauk, André D. Quantum Dynamic Imaging: Theoretical and Numerical Methods. Springer Science+Business Media, LLC, 2011.

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Vabishchevich, P. N. (Petr Nikolaevich), ed. Numerical methods for solving inverse problems of mathematical physics. Walter de Gruyter, 2007.

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Book chapters on the topic "Numerical methods in physics"

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Osgood, Richard, and Xiang Meng. "Numerical Methods." In Graduate Texts in Physics. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-65193-0_14.

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Vistnes, Arnt Inge. "Numerical Methods." In Physics of Oscillations and Waves. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-72314-3_4.

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Law, Kody J. H., and Panayotis G. Kevrekidis. "Numerical Methods for DNLS." In Springer Tracts in Modern Physics. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-89199-4_9.

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Schmidt, Wolfram, and Marcel Völschow. "Functions and Numerical Methods." In Undergraduate Lecture Notes in Physics. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-70347-9_3.

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Johnson, Steven G. "Numerical Methods for Computing Casimir Interactions." In Casimir Physics. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-20288-9_6.

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Širca, Simon, and Martin Horvat. "Basics of Numerical Analysis." In Computational Methods in Physics. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-78619-3_1.

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van Rienen, Ursula. "Applications from Accelerator Physics." In Numerical Methods in Computational Electrodynamics. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-642-56802-2_6.

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Schafer, Kenneth J. "Numerical Methods in Strong Field Physics." In Strong Field Laser Physics. Springer New York, 2008. http://dx.doi.org/10.1007/978-0-387-34755-4_6.

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Cercignani, Carlo, and David H. Sattinger. "Numerical Methods." In Scaling Limits and Models in Physical Processes. Birkhäuser Basel, 1998. http://dx.doi.org/10.1007/978-3-0348-8810-3_10.

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Popov, Valentin L. "Numerical Simulation Methods in Friction Physics." In Contact Mechanics and Friction. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-10803-7_19.

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Conference papers on the topic "Numerical methods in physics"

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Shcherbakova, E. E., and S. Yu Knyazev. "Two methods for numerical solving mathematical physics problems." In SECOND INTERNATIONAL CONFERENCE ON MATERIAL SCIENCE, SMART STRUCTURES AND APPLICATIONS: ICMSS-2019. AIP Publishing, 2019. http://dx.doi.org/10.1063/1.5138462.

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Kudryashov, N. A. "Preface of the “Methods of Nonlinear Mathematical Physics”." In INTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS (ICNAAM 2016). Author(s), 2017. http://dx.doi.org/10.1063/1.4992556.

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Kudryashov, N. A. "Preface of the “Methods of Nonlinear Mathematical Physics”." In INTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS ICNAAM 2020. AIP Publishing, 2022. http://dx.doi.org/10.1063/5.0081616.

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Jesudason, Christopher G. "Numerical reduced variable optimization methods with an application." In FRONTIERS IN PHYSICS: 4th International Meeting. AIP Publishing LLC, 2014. http://dx.doi.org/10.1063/1.4866931.

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Erleben, Kenny. "Numerical methods for linear complementarity problems in physics-based animation." In ACM SIGGRAPH 2013 Courses. ACM Press, 2013. http://dx.doi.org/10.1145/2504435.2504443.

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Kudryashov, Nikolay A. "Preface of the “Symposium on Methods of Nonlinear Mathematical Physics”." In INTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS 2015 (ICNAAM 2015). Author(s), 2016. http://dx.doi.org/10.1063/1.4952010.

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Alekseev, Aleksey, Aleksandr Bondarev, and Artem Kuvshinnikov. "Generalized computational experiment in the problems of numerical methods verification." In International Conference "Computing for Physics and Technology - CPT2020". Bryansk State Technical University, 2020. http://dx.doi.org/10.30987/conferencearticle_5fce2772cad971.66746788.

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This work is devoted to the application of a generalized computational experiment for a comparative assessment of numerical methods accuracy. The construction of a generalized computational experiment is based on the simultaneous solution using parallel computations in a multitasking mode of a basic problem with different input parameters, obtaining results in the form of multidimensional data volumes and their visual analysis. This approach can be effective in problems of verification of numerical methods. A comparative assessment of the accuracy for solvers of the open software package OpenF
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Karamysheva, G., G. Skripka, Carlos Granja, and Claude Leroy. "Program for Numerical Simulation of Beam Losses due to Interaction with Residual Gas." In NUCLEAR PHYSICS METHODS AND ACCELERATORS IN BIOLOGY AND MEDICINE: Fifth International Summer School on Nuclear Physics Methods and Accelerators in Biology and Medicine. AIP, 2010. http://dx.doi.org/10.1063/1.3295628.

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Bateev, A. B., and V. P. Filippov. "Computer programs of information processing of nuclear physical methods as a demonstration material in studying nuclear physics and numerical methods." In INFORMATION TECHNOLOGIES IN EDUCATION OF THE XXI CENTURY (ITE-XXI): Proceedings of the International Scientific-Practical Conference “Information Technologies in Education of the XXI Century”. Author(s), 2017. http://dx.doi.org/10.1063/1.4972442.

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BORMETTI, G., G. MONTAGNA, N. MORENI, and O. NICROSINI. "PATH INTEGRALS AND EXOTIC OPTIONS: METHODS AND NUMERICAL RESULTS." In Proceedings of the 31st Workshop of the International School of Solid State Physics. WORLD SCIENTIFIC, 2005. http://dx.doi.org/10.1142/9789812701558_0038.

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Reports on the topic "Numerical methods in physics"

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Yuhas, Elizabeth. Application of Numerical Methods To Solve Integral Equations Arising in Computational Physics/Electromagnetics. Defense Technical Information Center, 2009. http://dx.doi.org/10.21236/ada507040.

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Cai, Wei. Multi-scale and Multi-physics Numerical Methods for Modeling Transport in Mesoscopic Systems. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada572398.

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Cai, Wei. Multi-scale and Multi-physics Numerical Methods for Modeling Transport in Mesoscopic Systems. Defense Technical Information Center, 2014. http://dx.doi.org/10.21236/ada617374.

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Choi, Yong Joon, Jun Soo Yoo, and Curtis Lee Smith. RELAP-7 Software Verification and Validation Plan: Requirements Traceability Matrix (RTM) Part 1 – Physics and numerical methods. Office of Scientific and Technical Information (OSTI), 2015. http://dx.doi.org/10.2172/1245692.

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Peskin, Michael E. Abstract Applets: A Method for Integrating Numerical Problem Solving into the Undergraduate Physics Curriculum. Office of Scientific and Technical Information (OSTI), 2003. http://dx.doi.org/10.2172/812625.

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Yurovskaya, M. V., and A. V. Yushmanova. Complex Investigations of the World Ocean. Proceedings of the VI Russian Scientific Conference of Young Scientists. Edited by D. A. Alekseev, A. Yu Andreeva, I. M. Anisimov, et al. Shirshov Institute Publishing House, 2021. http://dx.doi.org/10.29006/978-5-6045110-3-9.

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The collection contains materials of the VI All-Russian Scientific Conference of Young Scientists "Complex Investigations of the World Ocean", dedicated to the discussion of the main scientific achievements of young specialists in the field of oceanology, modern methods and means of studying the World Ocean. Within the framework of the conference, issues of modern oceanology were considered in sections: ocean physics, ocean biology, ocean chemistry, marine geology, marine geophysics, marine ecology and environmental management, oceanological technology and instrumentation, as well as interdisc
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Kilian, Patrick Frank Heiner. Numerical Plasma Physics. Office of Scientific and Technical Information (OSTI), 2020. http://dx.doi.org/10.2172/1623410.

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Giraldo, Francis X. Advanced Numerical Methods for Numerical Weather Prediction. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada609966.

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Giraldo, Francis X. Advanced Numerical Methods for Numerical Weather Prediction. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada625715.

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Schoonover, Joseph A. Introduction to Numerical Methods. Office of Scientific and Technical Information (OSTI), 2016. http://dx.doi.org/10.2172/1312632.

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