void PutVerticalConstraintsIntoSolver(SolverShell solver)
{
foreach (var pair in horizontalConstraints.VerticalInts)
{
solver.AddGoalTwoVariablesAreClose(pair.Item1, pair.Item2, ConstrainedVarWeight);
}
}
void AddGoalsToKeepProperEdgesShort(SolverShell solver)
{
foreach (var edge in ProperLayeredGraph.Edges)
{
solver.AddGoalTwoVariablesAreClose(edge.Source, edge.Target, PositionOverBaricenterWeight);
}
}
static void AddGoalToKeepFlatEdgesShortOnBlockLevel(LayerInfo layerInfo, SolverShell solver)
{
if (layerInfo != null)
{
foreach (var couple in layerInfo.flatEdges)
{
int sourceBlockRoot = NodeToBlockRootSoftOnLayerInfo(layerInfo, couple.Item1);
int targetBlockRoot = NodeToBlockRootSoftOnLayerInfo(layerInfo, couple.Item2);
if (sourceBlockRoot != targetBlockRoot)
{
solver.AddGoalTwoVariablesAreClose(sourceBlockRoot, targetBlockRoot);
}
}
}
}
private static void Test_zero_g()
{
// Tests the 'g' vector becoming zero'd.
ISolverShell solver = new SolverShell();
solver.AddVariableWithIdealPosition(0, 236.5, 2.0);
solver.AddVariableWithIdealPosition(1, 255.58133348304591, 2.0);
solver.AddFixedVariable(2, 102.68749237060547);
solver.AddGoalTwoVariablesAreClose(0, 1, 1.0);
solver.AddLeftRightSeparationConstraint(2, 0, 0);
Solve(solver);
System.Console.WriteLine(solver.GetVariableResolvedPosition(0));
System.Console.WriteLine(solver.GetVariableResolvedPosition(1));
}
public static void Test_random()
{
Random random = new Random(123);
// Notes:
// Iteration 0 has a high negative alpha.
// Iteration 52 terminates due to QpscConvergenceQuotient, not QpscConvergenceEpsilon,
// with the default Parameters.
for (int ntest = 0; ntest < 100; ntest++)
{
System.Console.WriteLine("Executing test " + ntest + "...");
ISolverShell solver = new SolverShell();
solver.AddVariableWithIdealPosition(1, GetRandomDouble(random), 2.0);
solver.AddVariableWithIdealPosition(0, GetRandomDouble(random), 2.0);
solver.AddGoalTwoVariablesAreClose(0, 1, 1.0);
double lS = GetRandomDouble(random);
double rS = lS + GetRandomDouble(random);
double lT = GetRandomDouble(random);
double rT = lT + GetRandomDouble(random);
solver.AddFixedVariable(2, lS);
solver.AddFixedVariable(3, rS);
solver.AddFixedVariable(4, lT);
solver.AddFixedVariable(5, rT);
solver.AddLeftRightSeparationConstraint(2, 0, 0.01);
solver.AddLeftRightSeparationConstraint(0, 3, 0.01);
solver.AddLeftRightSeparationConstraint(4, 1, 0.01);
solver.AddLeftRightSeparationConstraint(1, 5, 0.01);
Solve(solver);
System.Console.WriteLine(solver.GetVariableResolvedPosition(0));
System.Console.WriteLine(solver.GetVariableResolvedPosition(1));
}
}
private static void Test_dummy_ideal_position()
{
//just test for equation (x-500)^2 -> min
ISolverShell solver = new SolverShell();
solver.AddVariableWithIdealPosition(0, 10, 0.000001);
solver.AddFixedVariable(1, 500);
solver.AddGoalTwoVariablesAreClose(0, 1, 100000.0);
// The default parameters have too large a QpscConvergenceQuotient and too
// small an OuterProjectIterationsLimit (we don't add constraints here so the
// inner iterations do nothing and all movement is done by the QPSC step adjustments
// in the outer iterations).
ProjSolv.Parameters parameters = new ProjSolv.Parameters();
parameters.QpscConvergenceQuotient = 1e-14;
parameters.OuterProjectIterationsLimit = 0; // no limit
Solve(solver, parameters);
System.Console.WriteLine(solver.GetVariableResolvedPosition(0));
System.Console.WriteLine(solver.GetVariableResolvedPosition(1));
}
public static void Test_random() {
Random random = new Random(123);
// Notes:
// Iteration 0 has a high negative alpha.
// Iteration 52 terminates due to QpscConvergenceQuotient, not QpscConvergenceEpsilon,
// with the default Parameters.
for (int ntest = 0; ntest < 100; ntest++) {
System.Console.WriteLine("Executing test " + ntest + "...");
ISolverShell solver = new SolverShell();
solver.AddVariableWithIdealPosition(1, GetRandomDouble(random), 2.0);
solver.AddVariableWithIdealPosition(0, GetRandomDouble(random), 2.0);
solver.AddGoalTwoVariablesAreClose(0, 1, 1.0);
double lS = GetRandomDouble(random);
double rS = lS + GetRandomDouble(random);
double lT = GetRandomDouble(random);
double rT = lT + GetRandomDouble(random);
solver.AddFixedVariable(2, lS);
solver.AddFixedVariable(3, rS);
solver.AddFixedVariable(4, lT);
solver.AddFixedVariable(5, rT);
solver.AddLeftRightSeparationConstraint(2, 0, 0.01);
solver.AddLeftRightSeparationConstraint(0, 3, 0.01);
solver.AddLeftRightSeparationConstraint(4, 1, 0.01);
solver.AddLeftRightSeparationConstraint(1, 5, 0.01);
Solve(solver);
System.Console.WriteLine(solver.GetVariableResolvedPosition(0));
System.Console.WriteLine(solver.GetVariableResolvedPosition(1));
}
}
private static void Test_dummy_ideal_position() {
//just test for equation (x-500)^2 -> min
ISolverShell solver = new SolverShell();
solver.AddVariableWithIdealPosition(0, 10, 0.000001);
solver.AddFixedVariable(1, 500);
solver.AddGoalTwoVariablesAreClose(0, 1, 100000.0);
// The default parameters have too large a QpscConvergenceQuotient and too
// small an OuterProjectIterationsLimit (we don't add constraints here so the
// inner iterations do nothing and all movement is done by the QPSC step adjustments
// in the outer iterations).
ProjSolv.Parameters parameters = new ProjSolv.Parameters();
parameters.QpscConvergenceQuotient = 1e-14;
parameters.OuterProjectIterationsLimit = 0; // no limit
Solve(solver, parameters);
System.Console.WriteLine(solver.GetVariableResolvedPosition(0));
System.Console.WriteLine(solver.GetVariableResolvedPosition(1));
}
private static void Test_zero_g() {
// Tests the 'g' vector becoming zero'd.
ISolverShell solver = new SolverShell();
solver.AddVariableWithIdealPosition(0, 236.5, 2.0);
solver.AddVariableWithIdealPosition(1, 255.58133348304591, 2.0);
solver.AddFixedVariable(2, 102.68749237060547);
solver.AddGoalTwoVariablesAreClose(0, 1, 1.0);
solver.AddLeftRightSeparationConstraint(2, 0, 0);
Solve(solver);
System.Console.WriteLine(solver.GetVariableResolvedPosition(0));
System.Console.WriteLine(solver.GetVariableResolvedPosition(1));
}
