Probability and Partial Differential Equations in Modern Applied Mathematics

"Probability and Partial Differential Equations in Modern Applied Mathematics" is devoted to the role of probabilistic methods in modern applied mathematics from the perspectives of both a tool for analysis and as a tool in modeling. There is a recognition in the applied mathematics research communi... Ausführliche Beschreibung

1. Person: Waymire, Edward C. [editor]
Weitere Körperschaften: SpringerLink (Online service)
Weitere Personen: SpringerLink (Online service)
Format: E-Buch
Sprache: English
Veröffentlicht: New York, NY Springer New York 2005, 2005
Beschreibung: X, 272 p. 22 illus online resource
Ausgabe: 1st ed. 2005
Serien: The IMA Volumes in Mathematics and its Applications
Schlagworte: Distribution (Probability theory
Differential equations, partial
Probability Theory and Stochastic Processes
Partial Differential Equations
Applications of Mathematics
Mathematics
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Inhaltsangabe:
  • Approximate Centre Manifolds and Invariant Measures
  • Enstrophy and Ergodicity Of Gravity Currents
  • Stochastic Heat and Burgers Equations and Their Singularities
  • A Gentle Introduction to Cluster Expansions
  • Continuity of the Itô-Map for Holder Rough Paths with Applications to the Support Theorem in Holder Norm
  • Data-Driven Stochastic Processes in Fully Developed Turbulence
  • Stochastic Flows on the Circle
  • Path Integration: Connecting Pure Jump and Wiener Processes
  • Random Dynamical Systems in Economics
  • A Geometric Cascade for the Spectral Approximation of the Navier-Stokes Equations
  • Inertial Manifolds for Random Differential Equations
  • Existence and Uniqueness of Classical, Nonnegative, Smooth Sol

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