Strong approximation of monotone stochastic partial differential equations driven by multiplicative noise

Keyphrases

• Discretized 100%
• Multiplicative Noise 100%
• Milstein Scheme 100%
• Strong Approximation 100%
• Monotone Stochastic Partial Differential Equation 100%
• Variational Approach 50%
• Galerkin Method 50%
• Numerical Approximation 50%
• Galerkin 50%
• Lyapunov 50%
• Monotone 50%
• Full Use 50%
• Euler Scheme 50%
• Strong Convergence Rate 50%
• Strong Error Estimate 50%
• Sobolev Regularity 50%
• Parabolic Stochastic Partial Differential Equations 50%
• Monotone Drift 50%
• Stochastic Calculus 50%
• Semigroup Approach 50%
• Infinite Dimensional Wiener Process 50%
• Hlder Regularity 50%
• Drift-implicit Euler Scheme 50%
• Initial Datum 50%
• Proposed Equation 50%

Mathematics

• Stochastic Partial Differential Equation 100%
• Multiplicative Noise 100%
• Parabolic 50%
• Strong Convergence 50%
• Multiplicative 50%
• Initial Datum 50%
• Numerical Approximation 50%
• Stochastic Calculus 50%
• Semigroup 50%
• Wiener Process 50%
• Convergence Rate 50%