Log in

Relevant bibliographies by topics / Computational stochastic dynamics / Books

To see the other types of publications on this topic, follow the link: Computational stochastic dynamics.

Books on the topic 'Computational stochastic dynamics'

Author: Grafiati

Published: 6 September 2023

Last updated: 7 September 2023

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 books for your research on the topic 'Computational stochastic dynamics.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse books on a wide variety of disciplines and organise your bibliography correctly.

1

Papadrakakis, Manolis, George Stefanou, and Vissarion Papadopoulos, eds. Computational Methods in Stochastic Dynamics. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-90-481-9987-7.

Full text

APA, Harvard, Vancouver, ISO, and other styles

2

Winkelmann, Stefanie, and Christof Schütte. Stochastic Dynamics in Computational Biology. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-62387-6.

Full text

APA, Harvard, Vancouver, ISO, and other styles

3

Papadrakakis, Manolis, George Stefanou, and Vissarion Papadopoulos, eds. Computational Methods in Stochastic Dynamics. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-5134-7.

Full text

APA, Harvard, Vancouver, ISO, and other styles

4

Papadrakakis, Manolis. Computational Methods in Stochastic Dynamics: Volume 2. Dordrecht: Springer Netherlands, 2013.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

5

Öttinger, Hans Christian. Stochastic processes in polymeric fluids: Tools and examples for developing simulation algorithms. Berlin: Springer, 1996.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

6

Schinazi, Rinaldo B. Classical and Spatial Stochastic Processes. Boston, MA: Birkhäuser Boston, 1999.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

7

Nonlinear and Stochastic Beam Dynamics in Accelorators. (1993 Desy, Lüneburg). Nonlinear and stochastic beam dynamics in accelerators: A challenge to theoretical and computational physics, Lüneburg, September 29-October 3, 1997. Hamburg: Deutsches Elektronen-Synchrotron, 1998.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

8

Krzysztof, Szajowski, and SpringerLink (Online service), eds. Advances in Dynamic Games: Theory, Applications, and Numerical Methods for Differential and Stochastic Games. Boston: Springer Science+Business Media, LLC, 2011.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

9

service), SpringerLink (Online, ed. Modeling Multi-Level Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

10

author, Sarich Marco 1985, ed. Metastability and Markov state models in molecular dynamics: Modeling, analysis, algorithmic approaches. Providence, Rhode Island: American Mathematical Society, 2013.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

11

Celledoni, Elena, Giulia Di Nunno, Kurusch Ebrahimi-Fard, and Hans Zanna Munthe-Kaas, eds. Computation and Combinatorics in Dynamics, Stochastics and Control. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01593-0.

Full text

APA, Harvard, Vancouver, ISO, and other styles

12

Ransbotham, Sam. Sequential grid computing: Models and computational experiments. Bangalore: Indian Institute of Management Bangalore, 2009.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

13

Cardaliaguet, Pierre. Advances in Dynamic Games: Theory, Applications, and Numerical Methods for Differential and Stochastic Games. Boston: Birkhäuser Boston, 2012.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

14

Vamos¸, C˘alin. Automatic trend estimation. Dordrecht: Springer Netherlands, 2013.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

15

Manolis, Papadrakakis George Stefanou Vissarion Papadopoulos. Computational Methods in Stochastic Dynamics. Springer, 2011.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

16

Winkelmann, Stefanie, and Christof Schütte. Stochastic Dynamics in Computational Biology. Springer International Publishing AG, 2021.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

17

Computational Methods In Stochastic Dynamics. Springer, 2010.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

18

Papadrakakis, Manolis, George Stefanou, and Vissarion Papadopoulos. Computational Methods in Stochastic Dynamics. Springer, 2012.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

19

Papadrakakis, Manolis, George Stefanou, and Vissarion Papadopoulos. Computational Methods in Stochastic Dynamics. Springer, 2011.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

20

Computational Methods in Stochastic Dynamics Computational Methods in Applied Sciences. Springer, 2012.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

21

Papadrakakis, Manolis, George Stefanou, and Vissarion Papadopoulos. Computational Methods in Stochastic Dynamics: Volume 2. Springer, 2014.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

22

Papadrakakis, Manolis, George Stefanou, and Vissarion Papadopoulos. Computational Methods in Stochastic Dynamics: Volume 2. Springer, 2012.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

23

Stochastic Dynamics for Systems Biology Chapman HallCRC Mathematical Computational Biology. Taylor & Francis Inc, 2014.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

24

Stochastic Processes in Polymeric Fluids: Tools and Examples for Developing Simulation Algorithms. Springer, 1996.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

25

Dynamics of Cancer: Mathematical Foundations of Oncology. World Scientific Publishing Co Pte Ltd, 2014.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

26

Schinazi, Rinaldo B. Classical and Spatial Stochastic Processes: With Applications to Biology. Birkhauser Verlag, 2014.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

27

Calligraphy lettering (Book Box). Readers Digest, 1998.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

28

Classical and Spatial Stochastic Processes: With Applications to Biology. Birkhäuser, 2014.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

29

Iordache, Octavian. Modeling Multi-Level Systems. Springer, 2014.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

30

Juillard, Michel. Dynamic Stochastic General Equilibrium Models. Edited by Shu-Heng Chen, Mak Kaboudan, and Ye-Rong Du. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780199844371.013.4.

Full text

Abstract:

Dynamic Stochastic General Equilibrium (DSGE) models have become popular in macroeconomics, but the combination of nonlinear microeconomic behavior of the agents and model-consistent expectations raise intricate computational issues; this chapter reviews solution methods and estimation of DSGE models. Perfect foresight deterministic models can easily be solved with a great degree of accuracy. In practice, medium-sized stochastic models can only be solved by local approximation or the perturbation approach. The Bayesian approach to estimation is privileged. It provides a convenient way to communicate both the prior information available to the econo-metrician and new information revealed by the data. This chapter focuses on methods frequently used in applied work rather than aiming at being exhaustive.

APA, Harvard, Vancouver, ISO, and other styles

31

Koch, Christof. Biophysics of Computation. Oxford University Press, 1998. http://dx.doi.org/10.1093/oso/9780195104912.001.0001.

Full text

Abstract:

Neural network research often builds on the fiction that neurons are simple linear threshold units, completely neglecting the highly dynamic and complex nature of synapses, dendrites, and voltage-dependent ionic currents. Biophysics of Computation: Information Processing in Single Neurons challenges this notion, using richly detailed experimental and theoretical findings from cellular biophysics to explain the repertoire of computational functions available to single neurons. The author shows how individual nerve cells can multiply, integrate, or delay synaptic inputs and how information can be encoded in the voltage across the membrane, in the intracellular calcium concentration, or in the timing of individual spikes. Key topics covered include the linear cable equation; cable theory as applied to passive dendritic trees and dendritic spines; chemical and electrical synapses and how to treat them from a computational point of view; nonlinear interactions of synaptic input in passive and active dendritic trees; the Hodgkin-Huxley model of action potential generation and propagation; phase space analysis; linking stochastic ionic channels to membrane-dependent currents; calcium and potassium currents and their role in information processing; the role of diffusion, buffering and binding of calcium, and other messenger systems in information processing and storage; short- and long-term models of synaptic plasticity; simplified models of single cells; stochastic aspects of neuronal firing; the nature of the neuronal code; and unconventional models of sub-cellular computation. Biophysics of Computation: Information Processing in Single Neurons serves as an ideal text for advanced undergraduate and graduate courses in cellular biophysics, computational neuroscience, and neural networks, and will appeal to students and professionals in neuroscience, electrical and computer engineering, and physics.

APA, Harvard, Vancouver, ISO, and other styles

32

Shreve, Steven E., and Dimitri P. Bertsekas. Stochastic Optimal Control: The Discrete-Time Case (Optimization and Neural Computation Series). Athena Scientific, 2007.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

33

Henderson, Daniel A., R. J. Boys, Carole J. Proctor, and Darren J. Wilkinson. Linking systems biology models to data: A stochastic kinetic model of p53 oscillations. Edited by Anthony O'Hagan and Mike West. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780198703174.013.7.

Full text

Abstract:

This article discusses the use of a stochastic kinetic model to study protein level oscillations in single living cancer cells, using the p53 and Mdm2 proteins as examples. It describes the refinement of a dynamic stochastic process model of the cellular response to DNA damage and compares this model to time course data on the levels of p53 and Mdm2. The article first provides a biological background on p53 and Mdm2 before explaining how the stochastic kinetic model is constructed. It then introduces the stochastic kinetic model and links it to the data and goes on to apply sophisticated MCMC methods to compute posterior distributions. The results demonstrate that it is possible to develop computationally intensive Markov chain Monte Carlo (MCMC) methods for conducting a Bayesian analysis of an intra-cellular stochastic systems biology model using single-cell time course data.

APA, Harvard, Vancouver, ISO, and other styles

34

(Editor), Adnan Ibrahimbegovic, and Ivica Kozar (Editor), eds. Extreme Man-Made and Natural Hazards in Dynamics of Structures (NATO Security through Science Series / NATO Security through Science Series C: Environmental Security). Springer, 2007.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

35

Sekimoto, Ken. Stochastic Energetics. Springer, 2012.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

36

Stochastic Energetics. Springer, 2010.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

37

Sekimoto, Ken. Stochastic Energetics. Springer, 2010.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

38

Sekimoto, Ken. Stochastic Energetics. Springer, 2010.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

39

Cole, Harold L. Monetary and Fiscal Policy through a DSGE Lens. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190076030.001.0001.

Full text

Abstract:

This text is designed to bridge the gap between Ph.D. and undergraduate textbooks in Macroeconomics. The text develops a dynamic stochastic general equilibrium model of money using a cash-in-advance constraint and endogenous production as in the real business cycle literature. The costs of inflation and optimal monetary policy, the impact of labor and capital taxes and as well as optimal fiscal policy are covered. Many extensions, including new Keynesian liquidity shock models are developed. Both standard analytic methods, such as Lagrangian methods, and computational methods using Matlab and Python, are developed as we construct quantitative models.

APA, Harvard, Vancouver, ISO, and other styles

40

Nunno, Giulia Di, Kurusch Ebrahimi-Fard, Elena Celledoni, and Hans Zanna Munthe-Kaas. Computation and Combinatorics in Dynamics, Stochastics and Control: The Abel Symposium, Rosendal, Norway, August 2016. Springer, 2019.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

41

Numerical Methods for Controlled Stochastic Delay Systems. Springer London, Limited, 2008.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

42

Leondes, Cornelius T. Control and Dynamic Systems: Advances in Theory and Applications : Advances in Algorithms and Computational Techniques in Dynamic Systems Control, P (Control and Dynamic Systems). Academic Press, 1989.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

43

Advances in Dynamic Game Theory: Numerical Methods, Algorithms, and Applications to Ecology and Economics (Annals of the International Society of Dynamic Games Book 9). Birkhäuser, 2007.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

44

Advances in Dynamic Games and Applications. Springer, 2012.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

45

Haurie, Alain, and Tamer Başar. Advances in Dynamic Games and Applications. Birkhauser Verlag, 2013.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

46

Tass, Peter A. Phase Resetting in Medicine and Biology: Stochastic Modelling and Data Analysis. Springer London, Limited, 2007.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

47

(Editor), Alain Haurie, Shigeo Muto (Editor), Leon A. Petrosjan (Editor), and T.E.S. Raghavan (Editor), eds. Advances in Dynamic Games: Applications to Economics, Management Science, Engineering, and Environmental Management (Annals of the International Society of Dynamic Games). Birkhäuser Boston, 2006.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

48

Phase Resetting in Medicine and Biology: Stochastic Modelling and Data Analysis (Springer Series in Synergetics). Springer-Verlag Telos, 1999.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

49

Advances in Dynamic Games: Applications to Economics, Management Science, Engineering, and Environmental Management. Springer London, Limited, 2007.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

50

Random Perturbation Methods with Applications in Science and Engineering. Springer, 2012.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!