Uncertainty Quantification for Hyperbolic and Kinetic Equations

Discover the cutting-edge insights in "Uncertainty Quantification for Hyperbolic and Kinetic Equations" by Shi Jin, published by Springer Nature Switzerland AG. This comprehensive volume, released in 2018, features 277 pages of in-depth analysis and research on uncertainty quantification techniques pertinent to hyperbolic and kinetic equations.

Delve into the latest advancements in the field as the book covers a variety of essential topics, including polynomial chaos expansions, perturbation methods, multi-level Monte Carlo methods, importance sampling, and moment methods. Each contribution provides valuable perspectives on tackling complex uncertainty challenges.

Whether you are a researcher, practitioner, or student in applied mathematics or computational science, this softcover reprint of the original first edition from 2017 serves as an invaluable resource for enhancing your understanding of uncertainty quantification methodologies.