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Quantitative Analysis
Parallel Processing
Numerical Analysis
C++ Multithreading
Python for Excel
Python Utilities
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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.
4. Construction of approximation spaces.
5. Time discretization.
6. Variational inequalities.
A. Stationary variational inequalities.
a. Weak and strong formulations for stationary variational inequality problem.
b. Existence and uniqueness for coercive stationary problem.
c. Penalized stationary problem.
d. Proof of existence for stationary problem.
e. Estimate of penalization error for stationary problem.
f. Monotonicity of solution of stationary problem.
g. Existence and uniqueness for non-coercive stationary problem.
B. Evolutionary variational inequalities.
VIII. Bibliography
Notation. Index. Contents.

Monotonicity of solution of stationary problem.


(Monotonicity of solution of stationary problem) If the coefficients of $B$ satisfy the definition ( Elliptic differential operator ) and the condition ( Assumption of coercivity 1 ) then the operator $T$ (see the problem ( Stationary variational inequality problem )) is monotonous: MATH


We use the equation MATH with MATH and MATH . Note that in both cases $v\leq \psi$ . We have MATH We subtract and obtain MATH thus MATH and by the condition ( Assumption of coercivity 1 ) MATH

Notation. Index. Contents.

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