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1. Applied stochastic analysis [2019]
 E, Weinan, 1963 author.
 Providence, Rhode Island : American Mathematical Society, [2019]
 Description
 Book — xxi, 305 pages ; 26 cm.
 Summary

 Fundamentals: Random variables Limit theorems Markov chains Monte Carlo methods Stochastic processes Wiener process Stochastic differential equations FokkerPlanck equation Advanced topics: Path integral Random fields Introduction to statistical mechanics Rare events Introduction to chemical reaction kinetics Appendix Bibliography Index.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
Science Library (Li and Ma)
Science Library (Li and Ma)  Status 

On reserve: Ask at circulation desk  
QA274.2 .E23 2019  Unknown 2hour loan 
MATH15801
 Course
 MATH15801  Basic Probability and Stochastic Processes w/Engineering App
 Instructor(s)
 Ying, Lexing
 Larsson, S. (Stig), 1952
 Berlin ; New York : Springer, c2003.
 Description
 Book — xi, 260 p. : ill. ; 24 cm.
 Summary

 Introduction
 A twopoint boundary value problem
 Elliptic equations
 Finite difference methods for elliptic equations
 Finite element methods for elliptic equations
 The elliptic eigenvalue problem
 Initialvalue problems for ODEs
 Parabolic equations
 Finite difference methods for parabolic problems
 The finite element method for a parabolic problem
 Hyperbolic equations
 Finite difference methods for hyperbolic equations
 The finite element method for hyerbolic equations
 Some other classes of numerical methods
 Some tools from mathematical analysis
 Orientation on numerical linear algebra.
(source: Nielsen Book Data)
Science Library (Li and Ma)
Science Library (Li and Ma)  Status 

Stacks  
QA374 .L337 2003  Unavailable Checked out  Overdue Request 
MATH22601
 Course
 MATH22601  Numerical Solution of Partial Differential Equations
 Instructor(s)
 Ying, Lexing