Probabilistic collocation method for strongly nonlinear problems: 1. Transform by location

Author:

Liao Qinzhuo1,Zhang Dongxiao2

Affiliation:

1. Mork Family Department of Chemical Engineering and Materials Science; University of Southern California; Los Angeles California USA

2. College of Engineering; Peking University; Beijing China.

Funder

US NSF Recovery Act (ARRA)

National Science and Technology Major Project of China

National Key Technology R&D Program of China

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Reference48 articles.

1. Abgrall , R. 2007 A simple, flexible and generic deterministic approach to uncertainty quantifications in non linear problems: application to fluid flow problems

2. A stochastic collocation method for elliptic partial differential equations with random input data;Babuska;SIAM J. Numer. Anal.,2007

3. Convergence assessment of numerical Monte Carlo simulations in groundwater hydrology;Ballio;Water Resour. Res.,2004

4. High dimensional polynomial interpolation on sparse grid;Barthelmann;Adv. Comput. Math.,2000

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