use of org.ojalgo.array.BigArray in project ojAlgo by optimatika.
the class IntegerProblems method testP20130409a.
/**
* apete's implementation of the original problem description.
* <a href="http://bugzilla.optimatika.se/show_bug.cgi?id=178">BugZilla</a>
*/
@Test
public void testP20130409a() {
final Variable[] tmpVariables = new Variable[] { new Variable("x1").lower(BigMath.ZERO).weight(BigMath.ONE), new Variable("x2013").lower(BigMath.ZERO).integer(true), new Variable("x2014").lower(BigMath.ZERO).integer(true) };
final ExpressionsBasedModel tmpModel = new ExpressionsBasedModel(tmpVariables);
final Expression tmpExpr1 = tmpModel.addExpression("Expr1");
tmpExpr1.set(0, -1);
tmpExpr1.set(1, 5100);
tmpExpr1.set(2, -5000);
tmpExpr1.upper(BigMath.ZERO);
final Expression tmpExpr2 = tmpModel.addExpression("Expr2");
tmpExpr2.set(0, 1);
tmpExpr2.set(1, 5100);
tmpExpr2.set(2, -5000);
tmpExpr2.lower(BigMath.ZERO);
final Expression tmpExpr3 = tmpModel.addExpression("Expr3");
tmpExpr3.set(1, 5000);
tmpExpr3.set(2, 5000);
tmpExpr3.level(new BigDecimal(19105000));
final BigArray tmpExpSol = BigArray.wrap(new BigDecimal[] { BigDecimal.valueOf(4200.000000000075), BigDecimal.valueOf(1892), BigDecimal.valueOf(1929) });
TestUtils.assertTrue("Expected Solution Not Valid", tmpModel.validate(tmpExpSol));
// tmpModel.options.debug(GenericSolver.class);
// tmpModel.options.problem = NumberContext.getGeneral(12);
final Result tmpResult = tmpModel.minimise();
// BasicLogger.debug(tmpResult.toString());
TestUtils.assertEquals("Solution Not Correct", tmpExpSol, tmpResult, new NumberContext(8, 8));
TestUtils.assertTrue("Solver State Not Optimal", tmpResult.getState().isOptimal());
}
use of org.ojalgo.array.BigArray in project ojAlgo by optimatika.
the class IntegerProblems method testP20130409b.
/**
* Test case sent in by the user / problem reporter
* <a href="http://bugzilla.optimatika.se/show_bug.cgi?id=178">BugZilla</a>
*/
@Test
public void testP20130409b() {
final Variable x1 = Variable.make("x1");
final Variable x2013 = Variable.make("x2013");
final Variable x2014 = Variable.make("x2014");
final Variable x2015 = Variable.make("x2015");
x2013.setInteger(true);
x2014.setInteger(true);
x2015.setInteger(true);
final ExpressionsBasedModel tmpModel = new ExpressionsBasedModel();
tmpModel.addVariable(x1);
tmpModel.addVariable(x2013);
tmpModel.addVariable(x2014);
tmpModel.addVariable(x2015);
final Expression obj = tmpModel.addExpression("obj");
obj.set(x1, 1);
obj.weight(BigDecimal.valueOf(1));
final Expression c1 = tmpModel.addExpression("c1");
c1.set(x1, 1);
c1.lower(BigDecimal.valueOf(0));
final Expression c2 = tmpModel.addExpression("c2");
c2.set(x2014, -5000);
c2.set(x2013, 5100);
c2.set(x1, -1);
c2.upper(BigDecimal.valueOf(0));
final Expression c3 = tmpModel.addExpression("c3");
c3.set(x2014, -5000);
c3.set(x2013, 5100);
c3.set(x1, 1);
c3.lower(BigDecimal.valueOf(0));
final Expression c4 = tmpModel.addExpression("c4");
c4.set(x2014, 150);
c4.set(x2013, 5100);
c4.set(x2015, -5000);
c4.set(x1, -1);
c4.upper(BigDecimal.valueOf(0));
final Expression c5 = tmpModel.addExpression("c5");
c5.set(x2014, 150);
c5.set(x2013, 5100);
c5.set(x2015, -5000);
c5.set(x1, 1);
c5.lower(BigDecimal.valueOf(0));
final Expression c6 = tmpModel.addExpression("c6");
c6.set(x2015, 5000);
c6.set(x2014, 5000);
c6.set(x2013, 5000);
c6.level(BigDecimal.valueOf(19105000));
final BigArray tmpExpSol = BigArray.wrap(new BigDecimal[] { BigDecimal.valueOf(4849.999999997941), BigDecimal.valueOf(1245), BigDecimal.valueOf(1269), BigDecimal.valueOf(1307) });
TestUtils.assertTrue("Expected Solution Not Valid", tmpModel.validate(tmpExpSol));
// tmpModel.options.debug(IntegerSolver.class);
// tmpModel.options.problem = NumberContext.getGeneral(8);
final Result tmpResult = tmpModel.minimise();
// BasicLogger.debug(tmpResult.toString());
TestUtils.assertEquals("Solution Not Correct", tmpExpSol, tmpResult, new NumberContext(8, 8));
TestUtils.assertTrue("Solver State Not Optimal", tmpResult.getState().isOptimal());
}
use of org.ojalgo.array.BigArray in project ojAlgo by optimatika.
the class BigDenseStore method applyLDL.
public void applyLDL(final int iterationPoint, final BasicArray<BigDecimal> multipliers) {
final BigDecimal[] tmpData = data;
final BigDecimal[] tmpColumn = ((BigArray) multipliers).data;
if ((myColDim - iterationPoint - 1) > ApplyLDL.THRESHOLD) {
final DivideAndConquer tmpConquerer = new DivideAndConquer() {
@Override
protected void conquer(final int first, final int limit) {
ApplyLDL.invoke(tmpData, myRowDim, first, limit, tmpColumn, iterationPoint);
}
};
tmpConquerer.invoke(iterationPoint + 1, myColDim, ApplyLDL.THRESHOLD);
} else {
ApplyLDL.invoke(tmpData, myRowDim, iterationPoint + 1, myColDim, tmpColumn, iterationPoint);
}
}
use of org.ojalgo.array.BigArray in project ojAlgo by optimatika.
the class LinearDesignTestCases method testP20130409b.
/**
* A specific node of {@linkplain org.ojalgo.optimisation.integer.IntegerProblems#testP20130409b}. Based
* on some changes in ExpressionBasedModel and/or IntegerSolver some nodes started to fail as UNBOUNDED.
* Which seems unreasonable. Must be a problem with either ExpressionBasedModel or LinearSolver. Test case
* sent in by the user / problem reporter
* <a href="http://bugzilla.optimatika.se/show_bug.cgi?id=178">BugZilla</a>
*/
@Test
public void testP20130409b() {
final Variable x1 = Variable.make("x1");
final Variable x2013 = Variable.make("x2013");
final Variable x2014 = Variable.make("x2014");
final Variable x2015 = Variable.make("x2015");
// x2013.setInteger(true);
// x2014.setInteger(true);
// x2015.setInteger(true);
x2013.lower(BigDecimal.valueOf(1245L));
x2014.lower(BigDecimal.valueOf(1269L));
final ExpressionsBasedModel tmpModel = new ExpressionsBasedModel();
tmpModel.addVariable(x1);
tmpModel.addVariable(x2013);
tmpModel.addVariable(x2014);
tmpModel.addVariable(x2015);
final Expression obj = tmpModel.addExpression("obj");
obj.set(x1, 1);
obj.weight(BigDecimal.valueOf(1));
final Expression c1 = tmpModel.addExpression("c1");
c1.set(x1, 1);
c1.lower(BigDecimal.valueOf(0));
final Expression c2 = tmpModel.addExpression("c2");
c2.set(x2014, -5000);
c2.set(x2013, 5100);
c2.set(x1, -1);
c2.upper(BigDecimal.valueOf(0));
final Expression c3 = tmpModel.addExpression("c3");
c3.set(x2014, -5000);
c3.set(x2013, 5100);
c3.set(x1, 1);
c3.lower(BigDecimal.valueOf(0));
final Expression c4 = tmpModel.addExpression("c4");
c4.set(x2014, 150);
c4.set(x2013, 5100);
c4.set(x2015, -5000);
c4.set(x1, -1);
c4.upper(BigDecimal.valueOf(0));
final Expression c5 = tmpModel.addExpression("c5");
c5.set(x2014, 150);
c5.set(x2013, 5100);
c5.set(x2015, -5000);
c5.set(x1, 1);
c5.lower(BigDecimal.valueOf(0));
final Expression c6 = tmpModel.addExpression("c6");
c6.set(x2015, 5000);
c6.set(x2014, 5000);
c6.set(x2013, 5000);
c6.level(BigDecimal.valueOf(19105000));
final BigArray tmpExpSol = BigArray.wrap(new BigDecimal[] { BigDecimal.valueOf(4849.999999997941), BigDecimal.valueOf(1245), BigDecimal.valueOf(1269), BigDecimal.valueOf(1307) });
TestUtils.assertTrue("Expected Solution Not Valid", tmpModel.validate(tmpExpSol));
// tmpModel.options.debug(LinearSolver.class);
// tmpModel.options.problem = NumberContext.getGeneral(8);
final Result tmpResult = tmpModel.minimise();
// BasicLogger.debug(tmpResult.toString());
TestUtils.assertEquals("Solution Not Correct", tmpExpSol, tmpResult, new NumberContext(8, 8));
TestUtils.assertTrue("Solver State Not Optimal", tmpResult.getState().isOptimal());
}
use of org.ojalgo.array.BigArray in project ojAlgo by optimatika.
the class LinearProblems method testP20180311_64.
/**
* https://github.com/optimatika/ojAlgo/issues/64
*/
@Test
public void testP20180311_64() {
final Variable x = Variable.make("x").lower(0).weight(3);
final Variable y = Variable.make("y").lower(0).weight(-2);
final ExpressionsBasedModel model = new ExpressionsBasedModel();
model.addVariable(x);
model.addVariable(y);
model.addExpression().set(x, -1).set(y, 0).lower(0);
model.addExpression().set(x, -1).set(y, 3).level(2);
final BigArray expected = BigArray.wrap(BigMath.ZERO, BigMath.TWO.multiply(BigMath.THIRD));
final Optimisation.Result result = model.maximise();
TestUtils.assertEquals(expected, result);
TestUtils.assertStateNotLessThanOptimal(result);
}
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