Geschäftskunden Kundenprogramme
Vor Ort
Merkzettel Warenkorb
Produktbild: Complexity and Evolution of Dissipative Systems
Band 4

Complexity and Evolution of Dissipative Systems An Analytical Approach

Aus der Reihe De Gruyter Series in Mathematics and Life Sciences

Fr. 176.00

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

15.11.2013

Abbildungen

mit 21 Illustrationen

Verlag

De Gruyter

Seitenzahl

294

Maße (L/B/H)

24.6/17.5/2.8 cm

Gewicht

667 g

Auflage

1

Sprache

Englisch

ISBN

978-3-11-026648-1

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

15.11.2013

Abbildungen

mit 21 Illustrationen

Verlag

De Gruyter

Seitenzahl

294

Maße (L/B/H)

24.6/17.5/2.8 cm

Gewicht

667 g

Auflage

1

Sprache

Englisch

ISBN

978-3-11-026648-1

Herstelleradresse

Walter de Gruyter
Genthiner Straße 13
10785 Berlin
DE

Email: GPSR Kontakt

Noch keine Bewertungen vorhanden

Verfassen Sie die erste Bewertung zu diesem Artikel

Helfen Sie anderen Kundinnen und Kunden durch Ihre Meinung.

Kundinnen und Kunden meinen

Bewertungen (0)
  • Produktbild: Complexity and Evolution of Dissipative Systems
  • Complexity and evolution of spatially extended systems: analytical approach

    Chapter 1: Introduction

    • Dynamical systems
    • Attractors
    • Strange attractors
    • Neural and genetic networks
    • Reaction diffusion systems
    • Systems with random perturbations and Gromov-Carbone problem

    Chapter 2: Method to control dynamics: Invariant manifolds, realization of vector fields

    • Invariant manifolds
    • Method of realization of vector fields
    • Control of attractor and inertial dynamics for neural networks

    Chapter 3: Complexity of patterns and attractors in genetic networks Centralized networks and attractor complexity in such network

    • A connection with computational problems, Turing machines and finite automatons
    • Graph theory, graph growth and computational power of neural and genetical networks
    • Mathematical model that shows how positional information can be transformed into body plan of multicellular organism
    • Applications to TF- microRNA networks. Bifurcation complexity in networks

    Chapter 4: Viability problem, Robustness under noise and evolution

    • Here we consider neural and genetic networks under large random perturbations
    • Viability problem
    • We show that network should evolve to be viable, and network complexity should increase
    • A connection with graph growth theory (Erdos-Renyi, Albert-Barabasi)
    • Relation between robustness, attractor complexity and functioning speed
    • Why Stalin and Putin's empires fall (as a simple illustration)
    • The Kolmogorov complexity of multicellular organisms and genetic codes: nontrivial connections
    • Robustness of multicellular organisms (Drosophila as an example)
    • A connection with the Hopfield system

    Chapter 5: Complexity of attractors for reaction diffusion systems and systems with convection

    • Existence of chemical waves with complex fronts
    • Existence of complicated attractors for reaction diffusion systems
    • Applications to Ginzburg Landau systems and natural computing
    • Existence of complicated attractors for Navier Stokes equations