Opm::DifferentiateOutputTable Namespace Reference

Classes
struct	Descriptor

Functions
void	calcSlopes (const std::size_t numDependent, const Descriptor &desc, LinearisedOutputTable &table)

Detailed Description

Apply piecewise linear differentiation (i.e., compute slopes) on a set of dependent variables in a linearised output table.

Function Documentation

calcSlopes()

void Opm::DifferentiateOutputTable::calcSlopes	(	const std::size_t	numDependent,
		const Descriptor &	desc,
		LinearisedOutputTable &	table
	)

Apply piecewise linear differentiation (i.e., compute slopes) on a set of dependent variables in a linearised output table.

Assumes that the independent variable is stored in the first column (column ID zero).

Parameters

[in]	numDependent	Number of dependent variables. Usually one or two. Dependent variables are assumed to be stored in columns one through numDependent.
[in]	desc	Columnar data differentantiation table request. Must refer to a particular sub-table of the linearised output table.
[in,out]	table	Linearised output table. On input, column zero contains the independent variable in each of numActRows.size() sub-tables and columns one through numDependent contain the dependent variables. On output, columns numDependent + 1 through 2 * numDependent contain the slopes of the dependent variables.

In partcular, column

numDependent + j 

for

j = 1..numDependent 

contains the derivatives of column j with respect to column zero. We define the slopes as

s(i,j) = (c(i + 1, j) - c(i,j)) / (c(i + 1, 0) - c(i,0))

for all

i = 0 .. numActRows[k] - 2 

(in table k).