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1Journal Of Computational Physics 1992: Vol 101 Contents

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2Journal Of Computational Physics 1971: Vol 7 Contents

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3Progress In Computational Physics Of Matter : Methods, Software And Applications

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4Journal Of Computational Physics 1976: Vol 20 Contents

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5Journal Of Computational Physics 1983: Vol 52 Contents

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6Journal Of Computational Physics 1990: Vol 90 Contents

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7Journal Of Computational Physics 1973: Vol 11 Contents

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8Journal Of Computational Physics 1990: Vol 91 Contents

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9Computational Approaches In Condensed-matter Physics : Proceedings Of The 6th Nishinomiya-Yukawa Memorial Symposium, Nishinomiya, Japan, October 24 And 25, 1991

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10Journal Of Computational Physics 1977: Vol 23 Contents

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11A General Strategy For Physics-Based Model Validation Illustrated With Earthquake Phenomenology, Atmospheric Radiative Transfer, And Computational Fluid Dynamics

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Validation is often defined as the process of determining the degree to which a model is an accurate representation of the real world from the perspective of its intended uses. Validation is crucial as industries and governments depend increasingly on predictions by computer models to justify their decisions. In this article, we survey the model validation literature and propose to formulate validation as an iterative construction process that mimics the process occurring implicitly in the minds of scientists. We thus offer a formal representation of the progressive build-up of trust in the model, and thereby replace incapacitating claims on the impossibility of validating a given model by an adaptive process of constructive approximation. This approach is better adapted to the fuzzy, coarse-grained nature of validation. Our procedure factors in the degree of redundancy versus novelty of the experiments used for validation as well as the degree to which the model predicts the observations. We illustrate the new methodology first with the maturation of Quantum Mechanics as the arguably best established physics theory and then with several concrete examples drawn from some of our primary scientific interests: a cellular automaton model for earthquakes, an anomalous diffusion model for solar radiation transport in the cloudy atmosphere, and a computational fluid dynamics code for the Richtmyer-Meshkov instability. This article is an augmented version of Sornette et al. [2007] that appeared in Proceedings of the National Academy of Sciences in 2007 (doi: 10.1073/pnas.0611677104), with an electronic supplement at URL http://www.pnas.org/cgi/content/full/0611677104/DC1. Sornette et al. [2007] is also available in preprint form at physics/0511219.

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12Computational Mathematics And Mathematical Physics 1992: Vol 32 Table Of Contents

Computational Mathematics and Mathematical Physics 1992: Volume 32 , Issue Contents. Digitized from IA1646504-04 . Previous issue: sim_computational-mathematics-and-mathematical-physics_1991_31_12_0 . Next issue: sim_computational-mathematics-and-mathematical-physics_1992_32_1_0 .

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13Methods In Computational Physics : Advances In Research And Applications

Computational Mathematics and Mathematical Physics 1992: Volume 32 , Issue Contents. Digitized from IA1646504-04 . Previous issue: sim_computational-mathematics-and-mathematical-physics_1991_31_12_0 . Next issue: sim_computational-mathematics-and-mathematical-physics_1992_32_1_0 .

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14Computational Methods In Physics And Engineering

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Computational Mathematics and Mathematical Physics 1992: Volume 32 , Issue Contents. Digitized from IA1646504-04 . Previous issue: sim_computational-mathematics-and-mathematical-physics_1991_31_12_0 . Next issue: sim_computational-mathematics-and-mathematical-physics_1992_32_1_0 .

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15Journal Of Computational Physics 1994: Vol 114 Contents

Computational Mathematics and Mathematical Physics 1992: Volume 32 , Issue Contents. Digitized from IA1646504-04 . Previous issue: sim_computational-mathematics-and-mathematical-physics_1991_31_12_0 . Next issue: sim_computational-mathematics-and-mathematical-physics_1992_32_1_0 .

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16Journal Of Computational Physics 1970: Vol 5 Contents

Computational Mathematics and Mathematical Physics 1992: Volume 32 , Issue Contents. Digitized from IA1646504-04 . Previous issue: sim_computational-mathematics-and-mathematical-physics_1991_31_12_0 . Next issue: sim_computational-mathematics-and-mathematical-physics_1992_32_1_0 .

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17NASA Technical Reports Server (NTRS) 19870016568: Computational Mechanics And Physics At NASA Langley Research Center

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An overview is given of computational mechanics and physics at NASA Langley Research Center. Computational analysis is a major component and tool in many of Langley's diverse research disciplines, as well as in the interdisciplinary research. Examples are given for algorithm development and advanced applications in aerodynamics, transition to turbulence and turbulence simulation, hypersonics, structures, and interdisciplinary optimization.

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18U.S.S.R. Computational Mathematics And Mathematical Physics 1987: Vol 27 Table Of Contents

U.S.S.R. Computational Mathematics and Mathematical Physics 1987: Volume 27 , Issue CONTENTS. Digitized from IA1652722-06 . Previous issue: sim_computational-mathematics-and-mathematical-physics_1986_26_6 . Next issue: sim_computational-mathematics-and-mathematical-physics_1987_27_index .

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19Journal Of Computational Physics 1971: Vol 8 Contents

U.S.S.R. Computational Mathematics and Mathematical Physics 1987: Volume 27 , Issue CONTENTS. Digitized from IA1652722-06 . Previous issue: sim_computational-mathematics-and-mathematical-physics_1986_26_6 . Next issue: sim_computational-mathematics-and-mathematical-physics_1987_27_index .

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20Journal Of Computational Physics 1983: Vol 49 Contents

U.S.S.R. Computational Mathematics and Mathematical Physics 1987: Volume 27 , Issue CONTENTS. Digitized from IA1652722-06 . Previous issue: sim_computational-mathematics-and-mathematical-physics_1986_26_6 . Next issue: sim_computational-mathematics-and-mathematical-physics_1987_27_index .

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21The Vibrating Inhomogeneous String: A Topic For A Course In Computational Physics

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This paper solves the integral equation which describes the oscillating inhomogeneous string, by using a spectral expansion method in terms of Chebyshev polynomials. The result is compared with the solution of the corresponding differential equation, obtained by expansion into a set of sine-wave functions, with emphasis on the accuracies of the two methods. These accuracies are determined by comparison with an iterative method which allows a precision of 1:10^11. The iterative method is based on a old method by Hartree, but contains innovative spectral expansion procedures.

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22Annual Reviews Of Computational Physics

v. : 23 cm

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23Computational Mathematics And Mathematical Physics 1996: Vol 36 Table Of Contents

Computational Mathematics and Mathematical Physics 1996: Volume 36 , Issue CONTENTS. Digitized from IA1646504-02 . Previous issue: sim_computational-mathematics-and-mathematical-physics_1995_35_12_0 . Next issue: sim_computational-mathematics-and-mathematical-physics_1996_36_1_0 .

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24Journal Of Computational Physics 1981: Vol 41 Contents

Computational Mathematics and Mathematical Physics 1996: Volume 36 , Issue CONTENTS. Digitized from IA1646504-02 . Previous issue: sim_computational-mathematics-and-mathematical-physics_1995_35_12_0 . Next issue: sim_computational-mathematics-and-mathematical-physics_1996_36_1_0 .

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25Journal Of Computational Physics 1992: Vol 103 Contents

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26Calibration Of Multi-physics Computational Models Using Bayesian Networks

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27U.S.S.R. Computational Mathematics And Mathematical Physics 1978: Vol 18 Index & Table Of Contents

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28"Computational Complexity And Fundamental Physics" With Scott Aaronson Of MIT

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Presented by The Aspen Center for Physics Scott Aaronson is Schlumberger Chair of Computer Science and Director, Quantum Information Center, Department of Computer Science at The University of Texas at Austin. In summer 2022 he announced he would be working for a year at OpenAI on theoretical foundations of AI safety. Know Aspen. Watch GrassRoots. GrassRoots TV programming is entirely funded by direct contributions from members of the Roaring Fork Valley community, and through grants from the City of Aspen Community Non-Profit Grant Program, Pitkin County Healthy Community Fund, The Town of Snowmass Village and The Aspen Thrift Shop. Founded by citizens of Aspen, Colorado in 1972, GrassRoots TV is the first and oldest community operated and programmed open-source media center and television station in the United States. Virtually all of the programming is created by local residents, occasionally with world renown guests. In partnership with the American Archive of Public Media and the Library of Congress, GrassRoots is currently cataloguing, restoring and digitally archiving 500 of the most at-risk original video programs out of its 45,000 title Community Video Archive. Help sustain this community treasure by donating now! Go to: https://bit.ly/GRTVContribute Don't forget to SUBSCRIBE, HIT LIKE and leave a COMMENT to let us know if you enjoyed this video, it is important to us and the community for you to become part of the conversation. Thanks for tuning in! Download the GrassRoots Community Network iOS and Android apps Subscribe for more videos: https://bit.ly/2Ycpi4P Facebook: https://www.facebook.com/GrassRootsCommunityNetwork/ Twitter: https://twitter.com/grassrootstv Web: http://www.grassrootstv.org/

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29Introduction To Computational Physics

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Presented by The Aspen Center for Physics Scott Aaronson is Schlumberger Chair of Computer Science and Director, Quantum Information Center, Department of Computer Science at The University of Texas at Austin. In summer 2022 he announced he would be working for a year at OpenAI on theoretical foundations of AI safety. Know Aspen. Watch GrassRoots. GrassRoots TV programming is entirely funded by direct contributions from members of the Roaring Fork Valley community, and through grants from the City of Aspen Community Non-Profit Grant Program, Pitkin County Healthy Community Fund, The Town of Snowmass Village and The Aspen Thrift Shop. Founded by citizens of Aspen, Colorado in 1972, GrassRoots TV is the first and oldest community operated and programmed open-source media center and television station in the United States. Virtually all of the programming is created by local residents, occasionally with world renown guests. In partnership with the American Archive of Public Media and the Library of Congress, GrassRoots is currently cataloguing, restoring and digitally archiving 500 of the most at-risk original video programs out of its 45,000 title Community Video Archive. Help sustain this community treasure by donating now! Go to: https://bit.ly/GRTVContribute Don't forget to SUBSCRIBE, HIT LIKE and leave a COMMENT to let us know if you enjoyed this video, it is important to us and the community for you to become part of the conversation. Thanks for tuning in! Download the GrassRoots Community Network iOS and Android apps Subscribe for more videos: https://bit.ly/2Ycpi4P Facebook: https://www.facebook.com/GrassRootsCommunityNetwork/ Twitter: https://twitter.com/grassrootstv Web: http://www.grassrootstv.org/

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30Computational Complexity In Physics

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This is a brief review paper summarizing talks at the NATO school on Complexity and Large Deviations in Geilo, Norway, 2001.

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31Journal Of Computational Physics 1982: Vol 47 Contents

This is a brief review paper summarizing talks at the NATO school on Complexity and Large Deviations in Geilo, Norway, 2001.

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32Journal Of Computational Physics 1992: Vol 102 Contents

This is a brief review paper summarizing talks at the NATO school on Complexity and Large Deviations in Geilo, Norway, 2001.

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33Physics 210: Introduction To Computational Physics (Fall 2009)

This is a brief review paper summarizing talks at the NATO school on Complexity and Large Deviations in Geilo, Norway, 2001.

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34Computational Physics : Simulation Of Classical And Quantum Systems

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This is a brief review paper summarizing talks at the NATO school on Complexity and Large Deviations in Geilo, Norway, 2001.

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35U.S.S.R. Computational Mathematics And Mathematical Physics 1970: Vol 10 Index & Table Of Contents

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36U.S.S.R. Computational Mathematics And Mathematical Physics 1996: Vol 36 Table Of Contents

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37U.S.S.R. Computational Mathematics And Mathematical Physics 1988: Vol 28 Index

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38Aspects Of Statistical Physics In Computational Complexity

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The aim of this review paper is to give a panoramic of the impact of spin glass theory and statistical physics in the study of the K-sat problem. The introduction of spin glass theory in the study of the random K-sat problem has indeed left a mark on the field, leading to some groundbreaking descriptions of the geometry of its solution space, and helping to shed light on why it seems to be so hard to solve. Most of the geometrical intuitions have their roots in the Sherrington-Kirkpatrick model of spin glass. We'll start Chapter 2 by introducing the model from a mathematical perspective, presenting a selection of rigorous results and giving a first intuition about the cavity method. We'll then switch to a physical perspective, to explore concepts like pure states, hierarchical clustering and replica symmetry breaking. Chapter 3 will be devoted to the spin glass formulation of K-sat, while the most important phase transitions of K-sat (clustering, condensation, freezing and SAT/UNSAT) will be extensively discussed in Chapter 4, with respect their complexity, free-entropy density and the Parisi 1RSB parameter. The concept of algorithmic barrier will be presented in Chapter 5 and exemplified in detail on the Belief Propagation (BP) algorithm. The BP algorithm will be introduced and motivated, and numerical analysis of a BP-guided decimation algorithm will be used to show the role of the clustering, condensation and freezing phase transitions in creating an algorithmic barrier for BP. Taking from the failure of BP in the clustered and condensed phases, Chapter 6 will finally introduce the Cavity Method to deal with the shattering of the solution space, and present its application to the development of the Survey Propagation algorithm.

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39NASA Technical Reports Server (NTRS) 19920020770: An Introduction To Using The FORTRAN Programs Provided With Computational Nuclear Physics 1 Nuclear Structure

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The authors of this paper have provided a set of ready-to-run FORTRAN programs that should be useful in the field of theoretical nuclear physics. The purpose of this document is to provide a simple synopsis of the programs and their use. A separate section is devoted to each program set and includes: abstract; files; compiling, linking, and running; obtaining results; and a tutorial.

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40A Computational Guide To Physics Of Eclipsing Binaries. Paper I. Demonstrations And Perspectives

The authors of this paper have provided a set of ready-to-run FORTRAN programs that should be useful in the field of theoretical nuclear physics. The purpose of this document is to provide a simple synopsis of the programs and their use. A separate section is devoted to each program set and includes: abstract; files; compiling, linking, and running; obtaining results; and a tutorial.

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41Journal Of Computational Physics 1969: Vol 4 Contents

The authors of this paper have provided a set of ready-to-run FORTRAN programs that should be useful in the field of theoretical nuclear physics. The purpose of this document is to provide a simple synopsis of the programs and their use. A separate section is devoted to each program set and includes: abstract; files; compiling, linking, and running; obtaining results; and a tutorial.

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42Journal Of Computational Physics 1976: Vol 22 Contents

The authors of this paper have provided a set of ready-to-run FORTRAN programs that should be useful in the field of theoretical nuclear physics. The purpose of this document is to provide a simple synopsis of the programs and their use. A separate section is devoted to each program set and includes: abstract; files; compiling, linking, and running; obtaining results; and a tutorial.

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43Some Elementary Rigorous Remark About The Replica Formalism In The Statistical Physics' Approach To Threshold Phenomena In Computational Complexity Theory

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Some elementary rigorous remark about the replica formalism in the Statistical Physics' approach to threshold phenomena in Computational Complexity Theory is presented.

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44DTIC ADA241086: IMACS '91: Proceedings Of The IMACS World Congress On Computation And Applied Mathematics (13th) Held In Dublin, Ireland On July 22-26, 1991. Volume 2. Computational Fluid Dynamics And Wave Propagation, Parallel Computing, Concurrent And Supercomputing, Computational Physics/Computational Chemistry And Evolutionary Systems

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Volume 2-Computational Fluid dynamics and Wave Propagation; Parallel Computing; Concurrent and Supercomputing; Computational Physics/Computational Chemistry and Evolutionary Systems.

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Find DTIC ADA241086: IMACS '91: Proceedings Of The IMACS World Congress On Computation And Applied Mathematics (13th) Held In Dublin, Ireland On July 22-26, 1991. Volume 2. Computational Fluid Dynamics And Wave Propagation, Parallel Computing, Concurrent And Supercomputing, Computational Physics/Computational Chemistry And Evolutionary Systems at online marketplaces:


45U.S.S.R. Computational Mathematics And Mathematical Physics 1989: Vol 29 Table Of Contents

U.S.S.R. Computational Mathematics and Mathematical Physics 1989: Volume 29 , Issue Contents. Digitized from IA1646504-04 . Previous issue: sim_computational-mathematics-and-mathematical-physics_1988_28_6_0 . Next issue: sim_computational-mathematics-and-mathematical-physics_1989_29_1_0 .

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46Computational Mathematics And Mathematical Physics 1994: Vol 34 Table Of Contents

Computational Mathematics and Mathematical Physics 1994: Volume 34 , Issue CONTENTS. Digitized from IA1646504-02 . Previous issue: sim_computational-mathematics-and-mathematical-physics_1993_33_12_0 . Next issue: sim_computational-mathematics-and-mathematical-physics_1994_34_1_0 .

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47Journal Of Computational Physics 1980: Vol 38 Contents

Computational Mathematics and Mathematical Physics 1994: Volume 34 , Issue CONTENTS. Digitized from IA1646504-02 . Previous issue: sim_computational-mathematics-and-mathematical-physics_1993_33_12_0 . Next issue: sim_computational-mathematics-and-mathematical-physics_1994_34_1_0 .

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48Journal Of Computational Physics 1991: Vol 92 Contents

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49Journal Of Computational Physics 1983: Vol 51 Contents

Computational Mathematics and Mathematical Physics 1994: Volume 34 , Issue CONTENTS. Digitized from IA1646504-02 . Previous issue: sim_computational-mathematics-and-mathematical-physics_1993_33_12_0 . Next issue: sim_computational-mathematics-and-mathematical-physics_1994_34_1_0 .

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50Wolfram Physics Project: Category Theory Meets Computational Irreducibility

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This is a Wolfram Physics Project working session about category theory and computational irreducibility. Begins at 3:12 Originally livestreamed at: https://twitch.tv/stephen_wolfram Stay up-to-date on this project by visiting our website: http://wolfr.am/physics Check out the announcement post: http://wolfr.am/physics-announcement Find the tools to build a universe: https://wolfr.am/physics-tools Find the technical documents: https://wolfr.am/physics-documents Follow us on our official social media channels. Twitter: https://twitter.com/WolframResearch/ Facebook: https://www.facebook.com/wolframresearch/ Instagram: https://www.instagram.com/wolframresearch/ LinkedIn: https://www.linkedin.com/company/wolfram-research/ Stephen Wolfram's Twitter: https://twitter.com/stephen_wolfram/ Contribute to the official Wolfram Community: https://community.wolfram.com/ Stay up-to-date on the latest interest at Wolfram Research through our blog: https://blog.wolfram.com/ Follow Stephen Wolfram's life, interests, and what makes him tick on his blog: https://writings.stephenwolfram.com/

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