Wolfram Knowledgebase Curated computable knowledge powering Wolfram|Alpha. Wolfram Universal Deployment System Instant deployment across cloud, desktop, mobile, and more. Petersburg State Marine Technical University (SMTU), Saint Petersburg, Russiaĭepartment of Hydromechanics and Marine Acoustics, St.Wolfram Data Framework Semantic framework for real-world data. Petersburg (2012)ĭepartment of Applied Mathematics and Mathematical Modeling, St. – Izdatelstvo Politehnicheskogo universiteta, St. Senichenkov, Matematicheskoe modelirovanie gibridnyh dinamicheskih system. University of California, Lawrence Livermore National Laboratory, Technical Information Department’s Digital Library, Livermore, CA (Preprint UCRL-JP-200039) Hindmash, CVODES: An ODE Solver with Sensitivity Analysis Capabilities. 6: 5th International Conference on Multibody Systems, Nonlinear Dynamics, and Control, Parts A, B, and C, Long Beach, CA, USA, September 24–28, 2005 (ASME, 2005), pp. Facilidad de uso Los parámetros y variables pueden ser cambiados en editores especializados, incluyendo un editor de arreglos, selector de color y más. Hindmash, CVODES, The sensitivity-enabled ODE solver in SUNDIALS, in ASME 2005 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, vol. El número sobre la barra roja nos indica las veces en que SystemModeler 4.2 es más rápido comparado con SystemModeler 4.0. Petzold, A description of DASSL: a differential/algebraic system solver, in 10th International Mathematics and Computers Simulation Congress on Systems Simulation and Scientific Computation, Montreal, Canada, August 9, 1982, Sandia Report, 1982, ed. Heun’s Method (Mathematics & Science Learning Center, Computer Laboratory): Numerical Methods for Solving Differential Equations. Petzold, Algorithms and software for ordinary differential equations and differential-algebraic equations, Part II: higher-order methods and software packages. Petzold, Algorithms and software for ordinary differential equations and differential-algebraic equations, Part 1: Euler methods and error estimation. – Chapman and Hall, London and New York (1982)Ī.C. Place, Ordinary differential equations: a qualitative approach with applications. Usability Parameters and variables can be changed in specialized editors, including an array editor, color picker and more. –Institut kompyuternyx issledovanij, Moskva-Izhevsk (2004)ĭ. The number above the red bar tells how many times faster SystemModeler 4.2 is compared to SystemModeler 4.0. Chua, Metody kachestvennoj teorii v nelinejnoj dinamike. Hall, James Murray Watt, Modern Numerical Methods for Ordinary Differential Equations. – Springer-Verlag Berlin Heidelberg (1996) Stiff and Differential-Algebraic Problems, 2nd edition, Springer Series in Computational Mathematics. Wanner, Solving Ordinary Differential Equations II. – Springer-Verlag Berlin Heidelberg (1993)Į. Nonstiff Problems, 2nd edition, Springer Series in Computational Mathematics. Wanner, Solving Ordinary Differential Equations I. Gulin, Chislennye metody, Uchebnoe posobie. Pontryagin, Znakomstvo s vysshej matematikoj: Differencialnye uravneniya i ix prilozheniya. Petrovsky, Lectures On Partial Differential Equation. – Gosudarstvennoe izdatelstvo texniko-teoreticheskoj literatury, Moscow-Leningrad (1949) Stepanov, Kachestvennaya teoriya differencialnyh uravnenij, 2-e izd., pererab. Egorov, Obyknovennye differencialnye uravneniya s prilozheniyami, 2-e izd. Amelkin, Differencialnye uravneniya v prilozheniyah. – Izdatelskij centr «Akademiya», Moscow (2008) Muratova, Obyknovennye differencialnye uravneniya: ucheb.
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