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I. Introduction into GPU programming.
II. Exception safe dynamic memory handling in Cuda project.
III. Calculation of partial sums in parallel.
IV. Manipulation of piecewise polynomial functions in parallel.
V. Manipulation of localized piecewise polynomial functions in parallel.
1. Calculus behind the LPoly class.
2. Crudification operator for LPoly class.
3. Implementation of LPoly class.
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Crudification operator for LPoly class.


he crudification operator was introduced in the section ( Crudification of piecewise-quadratic representation ). We need to adapt the result of that section to the changes in representation. Most of the definition ( Crudification operator ) stays the same except for reference to the proposition ( Quadratic piecewise interpolation ) that needs to be replaced with an updated proposition. We perform the necessary calculations and present an updated summary.

Proposition

(Quadratic piecewise interpolation 2) A piecewise polynomial $p\left( x\right) $ of the form MATH satisfies the conditions MATH for given MATH if and only if MATH MATH MATH MATH MATH MATH

Proof

The proposition ( Quadratic piecewise interpolation ) provides expressions for the polynomials MATH such that MATH We convert the result to the localized representation: MATH thus MATH where the expressions for MATH are known from the proposition ( Quadratic piecewise interpolation ). The rest of the calculation is performed by the Mathematica script located in OTSProjects/Cuda/PiecewisePoly/pyd/src/crudification.nb.

Definition

(Crudification operator 2) Let $\pi_{d}^{2,1}$ be the class of piecewise quadratic functions with finite support defined on MATH : MATH We define a transformation MATH according to the rule MATH where the piecewise polynomial MATH is constructed according to the following procedure.

Let MATH For every MATH let MATH where MATH and MATH come from the proposition ( Quadratic piecewise interpolation 2 ) with MATH Then MATH

We define MATH for MATH by recursion MATH





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