Honghu Liu – författare

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4 produkter

1. 

   Approximation of Stochastic Invariant Manifolds

   Stochastic Manifolds for Nonlinear SPDEs I

   Av Mickaël D. Chekroun, Honghu Liu m. fl.

   Häftad, 2015

   552 kr

   Lägg i varukorg

   This first volume is concerned with the analytic derivation of explicit formulas for the leading-order Taylor approximations of (local) stochastic invariant manifolds associated with a broad class of nonlinear stochastic partial differential equations. These approximations take the form of …

2. 

   Approximation of Stochastic Invariant Manifolds

   Stochastic Manifolds for Nonlinear SPDEs I

   Av Shouhong Wang, Honghu Liu m. fl.

   E-bok, 2014

   734 kr

   Lägg i varukorg

   This first volume is concerned with the analytic derivation of explicit formulas for the leading-order Taylor approximations of (local) stochastic invariant manifolds associated with a broad class of nonlinear stochastic partial differential equations. These approximations take the form of …

3. 

   Stochastic Parameterizing Manifolds and Non-Markovian Reduced Equations

   Stochastic Manifolds for Nonlinear SPDEs II

   Av Mickaël D. Chekroun, Honghu Liu m. fl.

   Häftad, 2015

   552 kr

   Lägg i varukorg

   In this second volume, a general approach is developed to provide approximate parameterizations of the "small" scales by the "large" ones for a broad class of stochastic partial differential equations (SPDEs). This is accomplished via the concept of parameterizing manifolds (PMs), which are …

4. 

   Stochastic Parameterizing Manifolds and Non-Markovian Reduced Equations

   Stochastic Manifolds for Nonlinear SPDEs II

   Av Shouhong Wang, Honghu Liu m. fl.

   E-bok, 2014

   718 kr

   Lägg i varukorg

   In this second volume, a general approach is developed to provide approximate parameterizations of the "small" scales by the "large" ones for a broad class of stochastic partial differential equations (SPDEs). This is accomplished via the concept of parameterizing manifolds (PMs), which are …