本文整理匯總了Java中org.apache.commons.math3.linear.Array2DRowRealMatrix.setRowVector方法的典型用法代碼示例。如果您正苦於以下問題：Java Array2DRowRealMatrix.setRowVector方法的具體用法？Java Array2DRowRealMatrix.setRowVector怎麽用？Java Array2DRowRealMatrix.setRowVector使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類org.apache.commons.math3.linear.Array2DRowRealMatrix的用法示例。
在下文中一共展示了Array2DRowRealMatrix.setRowVector方法的2個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Java代碼示例。
示例1: createTableau
import org.apache.commons.math3.linear.Array2DRowRealMatrix; //導入方法依賴的package包/類
/**
* Create the tableau by itself.
* @param maximize if true, goal is to maximize the objective function
* @return created tableau
*/
protected RealMatrix createTableau(final boolean maximize) {
// create a matrix of the correct size
int width = numDecisionVariables + numSlackVariables +
numArtificialVariables + getNumObjectiveFunctions() + 1; // + 1 is for RHS
int height = constraints.size() + getNumObjectiveFunctions();
Array2DRowRealMatrix matrix = new Array2DRowRealMatrix(height, width);
// initialize the objective function rows
if (getNumObjectiveFunctions() == 2) {
matrix.setEntry(0, 0, -1);
}
int zIndex = (getNumObjectiveFunctions() == 1) ? 0 : 1;
matrix.setEntry(zIndex, zIndex, maximize ? 1 : -1);
RealVector objectiveCoefficients =
maximize ? f.getCoefficients().mapMultiply(-1) : f.getCoefficients();
copyArray(objectiveCoefficients.toArray(), matrix.getDataRef()[zIndex]);
matrix.setEntry(zIndex, width - 1,
maximize ? f.getConstantTerm() : -1 * f.getConstantTerm());
if (!restrictToNonNegative) {
matrix.setEntry(zIndex, getSlackVariableOffset() - 1,
getInvertedCoefficientSum(objectiveCoefficients));
}
// initialize the constraint rows
int slackVar = 0;
int artificialVar = 0;
for (int i = 0; i < constraints.size(); i++) {
LinearConstraint constraint = constraints.get(i);
int row = getNumObjectiveFunctions() + i;
// decision variable coefficients
copyArray(constraint.getCoefficients().toArray(), matrix.getDataRef()[row]);
// x-
if (!restrictToNonNegative) {
matrix.setEntry(row, getSlackVariableOffset() - 1,
getInvertedCoefficientSum(constraint.getCoefficients()));
}
// RHS
matrix.setEntry(row, width - 1, constraint.getValue());
// slack variables
if (constraint.getRelationship() == Relationship.LEQ) {
matrix.setEntry(row, getSlackVariableOffset() + slackVar++, 1); // slack
} else if (constraint.getRelationship() == Relationship.GEQ) {
matrix.setEntry(row, getSlackVariableOffset() + slackVar++, -1); // excess
}
// artificial variables
if ((constraint.getRelationship() == Relationship.EQ) ||
(constraint.getRelationship() == Relationship.GEQ)) {
matrix.setEntry(0, getArtificialVariableOffset() + artificialVar, 1);
matrix.setEntry(row, getArtificialVariableOffset() + artificialVar++, 1);
matrix.setRowVector(0, matrix.getRowVector(0).subtract(matrix.getRowVector(row)));
}
}
return matrix;
}
示例2: createTableau
import org.apache.commons.math3.linear.Array2DRowRealMatrix; //導入方法依賴的package包/類
/**
* Create the tableau by itself.
* @param maximize if true, goal is to maximize the objective function
* @return created tableau
*/
protected Array2DRowRealMatrix createTableau(final boolean maximize) {
// create a matrix of the correct size
int width = numDecisionVariables + numSlackVariables +
numArtificialVariables + getNumObjectiveFunctions() + 1; // + 1 is for RHS
int height = constraints.size() + getNumObjectiveFunctions();
Array2DRowRealMatrix matrix = new Array2DRowRealMatrix(height, width);
// initialize the objective function rows
if (getNumObjectiveFunctions() == 2) {
matrix.setEntry(0, 0, -1);
}
int zIndex = (getNumObjectiveFunctions() == 1) ? 0 : 1;
matrix.setEntry(zIndex, zIndex, maximize ? 1 : -1);
RealVector objectiveCoefficients = maximize ? f.getCoefficients().mapMultiply(-1) : f.getCoefficients();
copyArray(objectiveCoefficients.toArray(), matrix.getDataRef()[zIndex]);
matrix.setEntry(zIndex, width - 1, maximize ? f.getConstantTerm() : -1 * f.getConstantTerm());
if (!restrictToNonNegative) {
matrix.setEntry(zIndex, getSlackVariableOffset() - 1,
getInvertedCoefficientSum(objectiveCoefficients));
}
// initialize the constraint rows
int slackVar = 0;
int artificialVar = 0;
for (int i = 0; i < constraints.size(); i++) {
LinearConstraint constraint = constraints.get(i);
int row = getNumObjectiveFunctions() + i;
// decision variable coefficients
copyArray(constraint.getCoefficients().toArray(), matrix.getDataRef()[row]);
// x-
if (!restrictToNonNegative) {
matrix.setEntry(row, getSlackVariableOffset() - 1,
getInvertedCoefficientSum(constraint.getCoefficients()));
}
// RHS
matrix.setEntry(row, width - 1, constraint.getValue());
// slack variables
if (constraint.getRelationship() == Relationship.LEQ) {
matrix.setEntry(row, getSlackVariableOffset() + slackVar++, 1); // slack
} else if (constraint.getRelationship() == Relationship.GEQ) {
matrix.setEntry(row, getSlackVariableOffset() + slackVar++, -1); // excess
}
// artificial variables
if ((constraint.getRelationship() == Relationship.EQ) ||
(constraint.getRelationship() == Relationship.GEQ)) {
matrix.setEntry(0, getArtificialVariableOffset() + artificialVar, 1);
matrix.setEntry(row, getArtificialVariableOffset() + artificialVar++, 1);
matrix.setRowVector(0, matrix.getRowVector(0).subtract(matrix.getRowVector(row)));
}
}
return matrix;
}