Random Renormalization Group Operators Applied to Stochastic Dynamics

Perturbational Renormalization Group App

Perturbational Renormalization Group Approach to Critical Dynamics in Stochastic Models

✍ Suzuki, M.; Tanaka, F. 📂 Article 📅 1974 🏛 Institute of Pure and Applied Physics 🌐 English ⚖ 272 KB

Sampling stochastic dynamic programming

Sampling stochastic dynamic programming applied to reservoir operation

✍ Kelman, Jerson; Stedinger, Jery R.; Cooper, Lisa A.; Hsu, Eric; Yuan, Sun-Quan 📂 Article 📅 1990 🏛 American Geophysical Union 🌐 English ⚖ 768 KB

From Random Matrices to Stochastic Opera

From Random Matrices to Stochastic Operators

✍ Alan Edelman; Brian D. Sutton 📂 Article 📅 2007 🏛 Springer 🌐 English ⚖ 574 KB

Renormalization group approach to dynami

Renormalization group approach to dynamic fragmentation

✍ J.Kamphorst Leal da Silva 📂 Article 📅 1990 🏛 Elsevier Science 🌐 English ⚖ 287 KB

Renormalization: an introduction to reno

Renormalization: an introduction to renormalization, the renormalization group, and the operator-product expansion

✍ John C. Collins 📂 Library 📅 1984 🏛 Cambridge University Press 🌐 English ⚖ 3 MB

Most of the numerical predictions of experimental phenomena in particle physics over the last decade have been made possible by the discovery and exploitation of the simplifications that can happen when phenomena are investigated on short distance and time scales. This book provides a coherent expos

Renormalization: an introduction to reno

Renormalization: an introduction to renormalization, the renormalization group, and the operator-product expansion

✍ John C. Collins 📂 Library 📅 1984 🏛 Cambridge University Press 🌐 English ⚖ 3 MB

Most of the numerical predictions of experimental phenomena in particle physics over the last decade have been made possible by the discovery and exploitation of the simplifications that can happen when phenomena are investigated on short distance and time scales. This book provides a coherent expos