Livros sobre o tema "Differentiable simulation"

Tiberiu, Coloși, ed. Numerical modeling and simulation of dynamical systems. Cluj-Napoca, Romania: Casa Cărṭii de Ştiinṭă, 1995.

Petráš, Ivo. Fractional-Order Nonlinear Systems: Modeling, Analysis and Simulation. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2011.

Fiedler, Bernold. Ergodic Theory, Analysis, and Efficient Simulation of Dynamical Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001.

Campbell, S. L. Modeling and simulation in Scilab/Scicos with ScicosLab 4.4. 2^a ed. New York: Springer, 2010.

Korn, Granino Arthur. Numerical insights into dynamic systems: Interactive dynamic system simulation with Microsoft Windows 95 and NT. Amsterdam: Gordon and Breach Science Publishers, 1998.

International Conference "Dynamical Systems - Theory and Applications" (9th 2007 Łódź, Poland). Modeling, simulation and control of nonlinear engineering dynamical systems: State-of-the-art, perspectives and applications. Editado por Awrejcewicz J. [S.l.]: Springer, 2009.

Iacus, Stefano M. Simulation and Inference for Stochastic Differential Equations. New York, NY: Springer New York, 2008. http://dx.doi.org/10.1007/978-0-387-75839-8.

(Pekka), Neittaanmäki P., e SpringerLink (Online service), eds. Partial Differential Equations: Modeling and Numerical Simulation. Dordrecht: Springer Science + Business Media B.V., 2008.

Iacus, Stefano M. Simulation and inference for stochastic differential equations: With r examples. New York, N. Y: Springer, 2008.

W, Campbell Scott, ed. A first course in differential equations, modeling, and simulation. Boca Raton, FL: CRC Press, 2011.

F, Corliss George, e International Conference on Automatic Differentiation (3rd : 2000 : Côte d'Azur, France), eds. Automatic differentiation of algorithms: From simulation to optimazation. New York: Springer, 2002.

Higham, Desmond, e Peter Kloeden. An Introduction to the Numerical Simulation of Stochastic Differential Equations. Philadelphia, PA: Society for Industrial and Applied Mathematics, 2021. http://dx.doi.org/10.1137/1.9781611976434.

M, Loomis P. V., Cabak A e Ames Research Center, eds. Guidance simulation and test support for differential GPS flight experiment. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1989.

Weiguo, Song, e Building and Fire Research Laboratory (U.S.), eds. Accounting for emergency response in building evacuation: Modeling differential egress capacity solutions. Gaithersburg, Md.]: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, Building and Fire Research Laboratory, 2007.

Rieder, William G. Introductory engineering modelling: Emphasizing differential models and computer simulations. Chichester: Wiley, 1987.

R, Busby Henry, ed. Introductory engineering modeling emphasizing differential models and computer simulations. New York: Wiley, 1986.

Langtangen, Hans Petter. Scaling of Differential Equations. Cham: Springer Nature, 2016.

Bris, Claude. Systèmes multi-échelles: Modélisation et simulation. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005.

Rieder, William G. Introductory engineering and modeling emphasizing differential models and computer simulations. Malabar, Fla: R. Krieger Pub. Co., 1990.

Jeff, Cash, Mazzia Francesca e SpringerLink (Online service), eds. Solving Differential Equations in R. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

Zingg, D. W. Runge-Kutta methods for linear ordinary differential equations. [Moffett Field, Calif.]: Research Institute for Advanced Computer Science, NASA Ames Research Center, 1997.

Zingg, D. W. Runge-Kutta methods for linear ordinary differential equations. [Moffett Field, Calif.]: Research Institute for Advanced Computer Science, NASA Ames Research Center, 1997.

Zingg, D. W. Runge-Kutta methods for linear ordinary differential equations. [Moffett Field, Calif.]: Research Institute for Advanced Computer Science, NASA Ames Research Center, 1997.

Zingg, D. W. Runge-Kutta methods for linear ordinary differential equations. [Moffett Field, Calif.]: Research Institute for Advanced Computer Science, NASA Ames Research Center, 1997.

Fabien, Brian C. Analytical system dynamics: Modeling and simulation. New York: Springer Science+Business Media, 2009.

Fitzgibbon, W. E. Applied and numerical partial differential equations: Scientific computing in simulation, optimization and control in a multidisciplinary context. Dordrecht: Springer, 2010.

Alfio, Quarteroni, Veneziani Alessandro e SpringerLink (Online service), eds. Cardiovascular Mathematics: Modeling and simulation of the circulatory system. Milano: Springer-Verlag Milan, 2009.

Chatterjee, A. Investigation of finite element-ABC methods for electromagnetic field simulation. Ann Arbor, Mich: University of Michigan, Radiation Laboratory, Dept. of Electrical Engineering and Computer Science, 1994.

Dubanov, Aleksandr. Simulation of pursuit and parallel approach methods in pursuit problems. ru: Publishing Center RIOR, 2021. http://dx.doi.org/10.29039/02071-5.

Center, NASA Glenn Research, ed. Technique for a very high order nonlinear simulation and validation. [Cleveland, Ohio]: National Aeronautics and Space Administration, Glenn Research Center, 2001.

Fiedler, Bernold. Ergodic Theory, Analysis, and Efficient Simulation of Dynamical Systems. Springer, 2013.

Awrejcewicz, Jan. Modeling, Simulation and Control of Nonlinear Engineering Dynamical Systems: State-of-the-Art, Perspectives and Applications. Springer Netherlands, 2010.

Awrejcewicz, Jan. Modeling, Simulation and Control of Nonlinear Engineering Dynamical Systems: State-Of-the-Art, Perspectives and Applications. Springer, 2008.

Lim, Chjan, e Joseph Nebus. Vorticity, Statistical Mechanics, and Monte Carlo Simulation. Springer New York, 2010.

Vorticity, Statistical Mechanics, and Monte Carlo Simulation. Springer London, Limited, 2007.

Modeling and Simulation in Scilab/Scicos with ScicosLab 4.4. Springer New York, 2006.

Modeling and Simulation in Scilab/Scicos with ScicosLab 4. 4. Springer, 2009.

Vorticity, Statistical Mechanics, and Monte Carlo Simulation (Springer Monographs in Mathematics). Springer, 2006.

Dynamics On and Of Complex Networks Volume 2 Modeling and Simulation in Science Engineering and Technology. Springer-Verlag New York Inc., 2013.

An Introduction to Sequential Dynamical Systems (Universitext). Springer, 2007.

Mathematics of complexity and dynamical systems. New York: Springer, 2012.

Statistical Properties Of Deterministic Systems. Springer, 2009.

Ding, Jiu, e Aihui Zhou. Statistical Properties of Deterministic Systems. Springer, 2011.

Statistical Properties of Deterministic Systems. Springer, 2010.

Glowinski, Roland, e Pekka Neittaanmäki. Partial Differential Equations: Modelling and Numerical Simulation. Springer, 2010.

Differential Models, Numerical Simulations and Applications. MDPI, 2021. http://dx.doi.org/10.3390/books978-3-0365-2300-2.

Bretti, Gabriella. Differential Models, Numerical Simulations and Applications. Mdpi AG, 2021.

Differential Equation Analysis In Biomedical Science And Engineering Partial Differential Equation Applications With R. John Wiley & Sons Inc, 2014.

Campbell, Scott W., e Carlos A. Smith. First Course in Differential Equations, Modeling, and Simulation. Taylor & Francis Group, 2011.

Campbell, Scott W., e Carlos A. Smith. First Course in Differential Equations, Modeling, and Simulation. Taylor & Francis Group, 2016.