5 edition of **Discrete dynamical modeling** found in the catalog.

- 201 Want to read
- 2 Currently reading

Published
**1993**
by Oxford University Press in New York
.

Written in English

- Differentiable dynamical systems -- Mathematical models.

**Edition Notes**

Includes bibliographical references (p. 405-[406]).

Statement | James T. Sandefur. |

Classifications | |
---|---|

LC Classifications | QA614.8 .S24 1993 |

The Physical Object | |

Pagination | xiii, 428 p. : |

Number of Pages | 428 |

ID Numbers | |

Open Library | OL1400099M |

ISBN 10 | 0195084381 |

LC Control Number | 93007843 |

The discrete-time models of dynamical systems are often called Difference Equations, because you can rewrite any ﬁrst-order discrete-time dynamical system with a state variable \(x\) (Eq. ()), i.e. J. Won, Y. Borns-Weil (MIT) Discrete and Continuous Dynamical Systems 3 / Iterative maps De nition (Iterative map) A (one-dimensional) iterative map is a sequence fx ngwith x n+1 = f(x n) for some function f: R!R. Basic Ideas: Fixed points Periodic points (can be reduced to xed points).

The treatment includes theoretical proofs, methods of calculation, and applications. The two parts of the book, continuous time of differential equations and discrete time of dynamical systems, can be covered independently in one semester each or combined together into a year long course. Get this from a library! Discrete dynamical systems: mathematics, methods and models. [David C Arney; Frank R Giordano; John S Robertson; United States Military Academy. Department of Mathematical Sciences.].

Klebaner, FC , Discrete Time Dynamical Systems as Population Models. in P Haccou, P Jagers & VA Vatutin (eds), Branching processes: Variation, Growth, and Extinction of Populations. Cambridge University Press, Cambridge UK, pp. 88 - The second part of the book deals with discrete dynamical systems and progresses to the study of both continuous and discrete systems in contexts like chaos control and synchronization, neural networks, and binary oscillator computing. These later sections are useful reference material for undergraduate student projects. The book is rounded off.

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The content is presented by an unitary approach that blends the perspective of mathematical modeling together with the ones of several discipline as Mathematical Analysis, Linear Algebra, Numerical Analysis, Systems Theory and Probability.

The book begins with a step-by-step introduction to discrete dynamical systems, which are mathematical models that describe how a quantity changes from one point in time to the next.

Readers are taken through the process, language, and notation required for the construction of such models as well as their implementation in : Wiley. Book Description. Dynamical Systems for Biological Modeling: An Introduction prepares both biology and mathematics students with the understanding and techniques necessary to undertake basic modeling of biological systems.

It achieves this through the development and analysis of dynamical systems. The topics covered include: fundamentals of modeling, basics of dynamical systems, discrete-time models, continuous-time models, bifurcations, chaos, cellular automata, continuous field models, static networks, dynamic networks, and agent-based models.

Hybrid Dynamical Systems Modeling, Stability, and Robustness R. Goebel, R. Sanfelice, and A. Teel having features of continuous-time and discrete-time dynamical systems. Filled with a wealth of examples to illustrate concepts, this book presents a complete theory of robust asymptotic stability for hybrid dynamical systems that is.

Dynamical systems are about the evolution of some quantities Discrete dynamical modeling book time. This evolution can occur smoothly over time or in discrete time steps. Here, we introduce dynamical systems where the state of the system evolves in discrete time steps, i.e., discrete dynamical systems.

When we model a system as a discrete dynamical system, we imagine that we take a snapshot of the system at a sequence of. Maps. A discrete-time, affine dynamical system has the form of a matrix difference equation: + = +, with A a matrix and b a vector.

As in the continuous case, the change of coordinates x → x + (1 − A) –1 b removes the term b from the equation. In the new coordinate system, the origin is a fixed point of the map and the solutions are of the linear system A n x 0.

Wolfram Language Revolutionary knowledge-based programming language. Wolfram Cloud Central infrastructure for Wolfram's cloud products & services. Wolfram Science Technology-enabling science of the computational universe. Dynamic Models in Biology offers an introduction to modern mathematical biology.

This book provides a short introduction to modern mathematical methods in modeling dynamical phenomena and treats the broad topics of population dynamics, epidemiology, evolution, immunology, morphogenesis, and. The topics covered include: fundamentals of modeling, basics of dynamical systems, discrete-time models, continuous-time models, bifurcations, chaos, cellular automata, continuous field models, static networks, dynamic networks, and agent-based models.

Complex Adaptive Systems Modeling Sayamaʼs book is a very good instrument. This book provides an introduction to the analysis of discrete dynamical systems. The content is presented by an unitary approach that blends the perspective of mathematical modeling together with the ones of several discipline as Mathematical Analysis, Linear Algebra, Numerical Analysis, Systems Theory and by: 8.

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After a preliminary discussion of several models, the main tools. Book: Introduction to the Modeling and Analysis of Complex Systems (Sayama) Schematic illustrations of several different types of equilibrium points and their nearby trajectories in 2-D discrete-time dynamical systems. The absolute value of the dominant eigenvalue \(|λ_d|\) determines the overall stability of the equilibrium point (top.

In the analysis and synthesis of contemporary systems, engineers and scientists are frequently confronted with increasingly complex models that may simultaneously include components whose states evolve along continuous time and discrete instants; components whose descriptions may exhibit nonlinearities, time lags, transportation delays, hysteresis effects, and uncertainties in parameters; and.

Part of the Nonlinear Systems and Complexity book series (NSCH, volume 1) Abstract. In this chapter, the basic concepts of nonlinear discrete systems will be presented.

The local and global theory of stability and bifurcation for nonlinear discrete systems will be discussed. Bifurcation Point Pitchfork Bifurcation Discrete Dynamical System. 6. Conclusions. We extend the proportional-switch adjustment process, which was first proposed by Smith (), and propose a discrete dynamical system of formulating the day-to-day evolution of traffic flows towards an equilibrium ed with Smith’s model, in the extended model, the flow transfers among routes between the same OD pair on each day are jointly.

Introduction to Mathematical Modeling Using Discrete Dynamical Systems There are other Mathematical Modeling books that will be more challenging.

However, introducing these concepts in ways that require differential equations and linear algebra may just make it more difficult to focus on the new concepts. If you understand the ideas in. Dynamical Systems for Biological Modeling: An Introduction prepares both biology and mathematics students with the understanding and techniques necessary to undertake basic modeling of biological systems.

It achieves this through the development and analysis of dynamical approach emphasizes qualitative ideas rather than explicit computa.

This book describes a remarkable collection of basic and advanced tools for the analysis of discrete-time dynamical systems, both deterministic and stochastic, that have been usefully applied to the study of economic dynamic models.Get this from a library!

Discrete dynamical modeling. [James T Sandefur] -- An introduction to a wide range of techniques and applications used in dynamical mathematical modelling. Emphasizing algebraic concepts, the text encourages students to develop a different manner of.Within the scope of discrete time models, linear dynamical systems are systems whose dynamics can be described as: \[x_{t}=Ax_{t-1}, \label{()} \] where \(x\) is the state vector of the system and \(A\) is the coefﬁcient matrix.

Technically, you could also add a constant vector to the right hand side, such as.