All Stories

  1. Renormalized Mori-Zwanzig-reduced models for systems without scale separation
  2. Mesh refinement for uncertainty quantification through model reduction
  3. Renormalized reduced models for singular PDEs
  4. Stochastic global optimization as a filtering problem
  5. Improved particle filters for multi-target tracking
  6. Numerical Computation of Solutions of the Critical Nonlinear Schrödinger Equation after the Singularity
  7. Conditional path sampling for stochastic differential equations through drift relaxation
  8. A phase transition approach to detecting singularities of partial differential equations
  9. Variance Reduction for Particle Filters of Systems With Time Scale Separation
  10. Optimal prediction and the rate of decay for solutions of the Euler equations in two and three dimensions
  11. Higher Order Mori–Zwanzig Models for the Euler Equations
  12. Problem reduction, renormalization, and memory
  13. A comparative study of two stochastic mode reduction methods
  14. A maximum likelihood algorithm for the estimation and renormalization of exponential densities
  15. Stochastic Optimal Prediction for the Kuramoto--Sivashinsky Equation
  16. A hybrid method for the inviscid Burgers equation