Quantitative Analysis
Parallel Processing
Numerical Analysis
C++ Multithreading
Python for Excel
Python Utilities
Services
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I.
Basic math.
II.
Pricing and Hedging.
III.
Explicit techniques.
IV.
Data Analysis.
V.
Implementation tools.
VI.
Basic Math II.
VII.
Implementation tools II.
1.
Calculational Linear Algebra.
2.
Wavelet Analysis.
3.
Finite element method.
A.
Tutorial introduction into finite element method.
B.
Finite elements for Poisson equation with Dirichlet boundary conditions.
C.
Finite elements for Heat equation with Dirichlet boundary conditions.
D.
Finite elements for Heat equation with Neumann boundary conditions.
E.
Relaxed boundary conditions for approximation spaces.
F.
Convergence of finite elements applied to nonsmooth data.
a.
H-tilde spaces.
b.
Convergence of finite elements with nonsmooth initial condition.
G.
Convergence of finite elements for generic parabolic operator.
4.
Construction of approximation spaces.
5.
Time discretization.
6.
Variational inequalities.
VIII.
Bibliography
Notation.
Index.
Contents.
Convergence of finite elements applied to nonsmooth data.
n this section we show how to obtain convergence estimate under assumption that the initial and boundary data is in
.
a.
H-tilde spaces.
b.
Convergence of finite elements with nonsmooth initial condition.
Notation.
Index.
Contents.
Copyright 2007