} // Main(...)
static ICollection<CheetahCurve> EvaluationOnTheFirstApplicationOfConstraint(ICheetahSolver solver,
CheetahDataSet dataSet)
{
// 1. Creating parametric object and setting tolerance (by default 1E-12)
var parametric = new CheetahParametricBasic(() => solver, false, true, true);
// 2. Initializing parametric object using data set
// On this step we are compiling the model and creating system of equation
// After that we will be ready to run the solver
if (!parametric.Init(dataSet, null, null))
// If parametric.Init will return FALSE, then there is critical error in the data set
// So we are not able to make system of equation and to evaluate the problem
// We should cancel the procedure and rebuild data set
throw new Exception("Something goes wrong");
// 3. Regenerating constrained model (running solver)
// On this step we are solving the system of equation, that we've made in the previous step
if (!parametric.Evaluate())
throw new Exception("Something goes wrong");
// 4. Retrieving results
var resultGeometry = parametric.GetSolution(true);
// 5. We have to clear compiled data
parametric.ClearSolver();
return resultGeometry;
} // EvaluationOnTheFirstApplicationOfConstraint(...)
} // Main(...)
static ICollection <CheetahCurve> EvaluationOnTheFirstApplicationOfConstraint(ICheetahSolver solver,
CheetahDataSet dataSet)
{
// 1. Creating parametric object and setting tolerance (by default 1E-12)
var parametric = new CheetahParametricBasic(() => solver, false, true, true);
// 2. Initializing parametric object using data set
// On this step we are compiling the model and creating system of equation
// After that we will be ready to run the solver
if (!parametric.Init(dataSet, null, null))
{
// If parametric.Init will return FALSE, then there is critical error in the data set
// So we are not able to make system of equation and to evaluate the problem
// We should cancel the procedure and rebuild data set
throw new Exception("Something goes wrong");
}
// 3. Regenerating constrained model (running solver)
// On this step we are solving the system of equation, that we've made in the previous step
if (!parametric.Evaluate())
{
throw new Exception("Something goes wrong");
}
// 4. Retrieving results
var resultGeometry = parametric.GetSolution(true);
// 5. We have to clear compiled data
parametric.ClearSolver();
return(resultGeometry);
} // EvaluationOnTheFirstApplicationOfConstraint(...)
static void Main(string[] args)
{
// 1. Creating geometric model
var dataSet = new CheetahDataSet();
var entIdList = new List <long>();
CreateGeometricModel(dataSet, entIdList);
// 2. Creating solver object
var solver = new SolverCpu10();
// 3. Creating parametric object and setting tolerance (by default 1E-12)
var parametric = new CheetahParametricBasic(() => solver, false);
const double precision = 1E-15; // Working with much better accuracy then the default 1E-12
CheetahParametricBasic.Settings.Precision = precision;
// 4. Initializing parametric object using data set
if (!parametric.Init(dataSet, null, null))
{
throw new Exception("Something goes wrong");
}
// 5. Running constraints solver
if (!parametric.Evaluate())
{
throw new Exception("Something goes wrong");
}
// 6. Retrieving results (we created rectangle with fillets that is "closest" to the initial lines and arcs)
var resultGeometry = parametric.GetSolution(true);
// 7. Checking that all geometric constraints are satisfied.
// Actually, we have no need to check - if Evaluate returns true than everything is OK
if (!CheckResults(resultGeometry, entIdList, precision))
{
throw new Exception("Something goes wrong");
}
GC.Collect();
} // Main(...)
static void Main(string[] args)
{
const string filePath = "dataset.xml";
// 1. Creating entities and constraints (constraints are not satisfied yet)
var dataSet = CreateDataSet();
// 2. Saving data set to xml-file
dataSet.SaveToXml(filePath);
// 3. Loading data set from xml-file
var dataSetFromFile = CheetahDataSet.LoadFromXml(filePath);
// 4. Creating solver object
var solver = new SolverCpu10();
// 5. Creating parametric object and setting tolerance (by default 1E-12)
var parametric = new CheetahParametricBasic(() => solver, false, true, true);
const double precision = 1E-8; // Working with lower accuracy then default 1E-12
CheetahParametricBasic.Settings.Precision = precision;
// 6. Initializing parametric object using data set
if (!parametric.Init(dataSetFromFile, null, null))
{
throw new Exception("Something goes wrong");
}
// 7. Regenerating constrained model (running solver)
if (!parametric.Evaluate())
{
throw new Exception("Something goes wrong");
}
// 8. Retrieving results (we created rectangle that is "closest" to the initial lines)
var resultGeometry = parametric.GetSolution(true);
GC.Collect();
} // Main(...)
static void Main(string[] args)
{
// 1. Creating geometric model
var dataSet = new CheetahDataSet();
var entIdList = new List<long>();
CreateGeometricModel(dataSet, entIdList);
// 2. Creating solver object
var solver = new SolverCpu10();
// 3. Creating parametric object and setting tolerance (by default 1E-12)
var parametric = new CheetahParametricBasic(() => solver, false);
const double precision = 1E-15; // Working with much better accuracy then the default 1E-12
CheetahParametricBasic.Settings.Precision = precision;
// 4. Initializing parametric object using data set
if (!parametric.Init(dataSet, null, null))
throw new Exception("Something goes wrong");
// 5. Running constraints solver
if (!parametric.Evaluate())
throw new Exception("Something goes wrong");
// 6. Retrieving results (we created rectangle with fillets that is "closest" to the initial lines and arcs)
var resultGeometry = parametric.GetSolution(true);
// 7. Checking that all geometric constraints are satisfied.
// Actually, we have no need to check - if Evaluate returns true than everything is OK
if (!CheckResults(resultGeometry, entIdList, precision))
throw new Exception("Something goes wrong");
GC.Collect();
} // Main(...)
static void Main(string[] args)
{
const string filePath = "dataset.xml";
// 1. Creating entities and constraints (constraints are not satisfied yet)
var dataSet = CreateDataSet();
// 2. Saving data set to xml-file
dataSet.SaveToXml(filePath);
// 3. Loading data set from xml-file
var dataSetFromFile = CheetahDataSet.LoadFromXml(filePath);
// 4. Creating solver object
var solver = new SolverCpu10();
// 5. Creating parametric object and setting tolerance (by default 1E-12)
var parametric = new CheetahParametricBasic(() => solver, false, true, true);
const double precision = 1E-8; // Working with lower accuracy then default 1E-12
CheetahParametricBasic.Settings.Precision = precision;
// 6. Initializing parametric object using data set
if (!parametric.Init(dataSetFromFile, null, null))
throw new Exception("Something goes wrong");
// 7. Regenerating constrained model (running solver)
if (!parametric.Evaluate())
throw new Exception("Something goes wrong");
// 8. Retrieving results (we created rectangle that is "closest" to the initial lines)
var resultGeometry = parametric.GetSolution(true);
GC.Collect();
} // Main(...)
} // EvaluationOnTheFirstApplicationOfConstraint(...)
static ICollection<CheetahCurve> EvaluationOnDragginTheLine(ICheetahSolver solver, CheetahDataSet dataSet,
CheetahLine2D draggingLine, CheetahPoint2D draggingPoint)
{
// 1. Creating parametric object and setting tolerance (by default 1E-12)
var parametric = new CheetahParametricBasic(() => solver, false, true, true);
// 2. Initializing parametric object using data set
// On this step we are compiling the model and creating system of equation
// After that we will be ready to run the solver
// We will drag the line, so we need to specify the curve to drag and the dragging point
if (!parametric.Init(dataSet, new[] { draggingLine }, new[] { draggingPoint }))
// If parametric.Init will return FALSE, then there is critical error in data set
// So we are not able to make system of equation and to evaluate the problem
// We should cancel the procedure and rebuild data set
throw new Exception("Something goes wrong");
// 3. Now we can drag. We don't need to recompile the model on each drag iteration,
// because the model will be the same - only initial value (the drag point) will be changed
// We are simulating drag using this loop
for (var i = 0; i < 100; i++)
{
// 4. Our parametric object is initialized by dataSet object
// So the current values of the dataSet curves are the initial values of the system
// If we will change some value - the initial values will be changed appropriately
// All that we need to reinitialize the model by the new point from the screen
// is to reset the value for the dragging line end point
draggingLine.End.X *= 1.01;
draggingLine.End.Y *= 1.05;
// 5. Regenerating constrained model (running solver)
// On this step we are solving the system of equation, that we've prepared on the previous step
// Now we are dragging the curve and, because we do it manually (by mouse), we can not be precise
// We don't need to calculate on each step with 10^-12 or greater precision
// So we can cheat a little and decrease the precision for drag iterations
// That's why we are using parametric.EvaluateFast function
if (!parametric.EvaluateFast())
// If parametric.EvaluateFast will return FALSE it usually means that we can not evaluate the system
// with this initial values (we have reached maximum number of iterations)/
// It is NOT a critical problem. This situation can appear while we drag some curve
// in position that conflict with constraints/
// For example, while we rounding out the arc and can get negative radius,
// or squeeze the line to zero length (and get negative length)
// In our solver, if we have such a situation - we restore the previous drag iteration solution.
throw new Exception("Something goes wrong");
// In this example we don't use results of EvaluateFast/
// In real life they may be retreived and used to update dragging lines on the screen
}
// 6. Regenerating constrained model (running solver)
// Now we "click the mouse button" to end the drag.
// We need to evaluate the system with high precision (that's why we use Evaluate instead of EvaluateFast)
// We can use last iteration solution as new initial value to evaluate the system much faster
// (for this purpose we set recompile parameter to false)
if (!parametric.Evaluate(false))
throw new Exception("Something goes wrong");
// 7. Retrieving results
var resultGeometry = parametric.GetSolution(true);
// 8. We have to clear compiled data
parametric.ClearSolver();
return resultGeometry;
} // EvaluationOnDragginTheLine(...)
} // EvaluationOnTheFirstApplicationOfConstraint(...)
static ICollection <CheetahCurve> EvaluationOnDragginTheLine(ICheetahSolver solver, CheetahDataSet dataSet,
CheetahLine2D draggingLine, CheetahPoint2D draggingPoint)
{
// 1. Creating parametric object and setting tolerance (by default 1E-12)
var parametric = new CheetahParametricBasic(() => solver, false, true, true);
// 2. Initializing parametric object using data set
// On this step we are compiling the model and creating system of equation
// After that we will be ready to run the solver
// We will drag the line, so we need to specify the curve to drag and the dragging point
if (!parametric.Init(dataSet, new[] { draggingLine }, new[] { draggingPoint }))
{
// If parametric.Init will return FALSE, then there is critical error in data set
// So we are not able to make system of equation and to evaluate the problem
// We should cancel the procedure and rebuild data set
throw new Exception("Something goes wrong");
}
// 3. Now we can drag. We don't need to recompile the model on each drag iteration,
// because the model will be the same - only initial value (the drag point) will be changed
// We are simulating drag using this loop
for (var i = 0; i < 100; i++)
{
// 4. Our parametric object is initialized by dataSet object
// So the current values of the dataSet curves are the initial values of the system
// If we will change some value - the initial values will be changed appropriately
// All that we need to reinitialize the model by the new point from the screen
// is to reset the value for the dragging line end point
draggingLine.End.X *= 1.01;
draggingLine.End.Y *= 1.05;
// 5. Regenerating constrained model (running solver)
// On this step we are solving the system of equation, that we've prepared on the previous step
// Now we are dragging the curve and, because we do it manually (by mouse), we can not be precise
// We don't need to calculate on each step with 10^-12 or greater precision
// So we can cheat a little and decrease the precision for drag iterations
// That's why we are using parametric.EvaluateFast function
if (!parametric.EvaluateFast())
{
// If parametric.EvaluateFast will return FALSE it usually means that we can not evaluate the system
// with this initial values (we have reached maximum number of iterations)/
// It is NOT a critical problem. This situation can appear while we drag some curve
// in position that conflict with constraints/
// For example, while we rounding out the arc and can get negative radius,
// or squeeze the line to zero length (and get negative length)
// In our solver, if we have such a situation - we restore the previous drag iteration solution.
throw new Exception("Something goes wrong");
}
// In this example we don't use results of EvaluateFast/
// In real life they may be retreived and used to update dragging lines on the screen
}
// 6. Regenerating constrained model (running solver)
// Now we "click the mouse button" to end the drag.
// We need to evaluate the system with high precision (that's why we use Evaluate instead of EvaluateFast)
// We can use last iteration solution as new initial value to evaluate the system much faster
// (for this purpose we set recompile parameter to false)
if (!parametric.Evaluate(false))
{
throw new Exception("Something goes wrong");
}
// 7. Retrieving results
var resultGeometry = parametric.GetSolution(true);
// 8. We have to clear compiled data
parametric.ClearSolver();
return(resultGeometry);
} // EvaluationOnDragginTheLine(...)
static void Main(string[] args)
{
// 1. Creating data set
var dataSet = new CheetahDataSet();
// 2. Creating geometry
var line1 = new CheetahLine2D(0, 0, 10, 1);
var line2 = new CheetahLine2D(10, 0, 10, 11);
var line3 = new CheetahLine2D(10, 10, 1, 10);
var line4 = new CheetahLine2D(0, 10, 1, 1);
// 3. Creating constraints
dataSet.AddCoincidence(line1, IdentifiableValueReferences.LineEnd,
line2, IdentifiableValueReferences.LineStart);
dataSet.AddCoincidence(line2, IdentifiableValueReferences.LineEnd,
line3, IdentifiableValueReferences.LineStart);
dataSet.AddCoincidence(line3, IdentifiableValueReferences.LineEnd,
line4, IdentifiableValueReferences.LineStart);
dataSet.AddCoincidence(line4, IdentifiableValueReferences.LineEnd,
line1, IdentifiableValueReferences.LineStart);
dataSet.AddPerpendicular(line1, line2);
dataSet.AddPerpendicular(line2, line3);
dataSet.AddParallel(line2, line4);
// 4. Creating solver object
var solver = new SolverCpu10();
// 5. Creating parametric object and setting tolerance (by default 1E-12)
var parametric = new CheetahParametricBasic(() => solver, false, true, true);
const double precision = 1E-14; // Working with better accuracy then default 1E-12
CheetahParametricBasic.Settings.Precision = precision;
// 6. Initializing parametric object using data set
if (!parametric.Init(dataSet, null, null))
{
throw new Exception("Something goes wrong");
}
// 7. Regenerating constrained model (running solver)
if (!parametric.Evaluate())
{
throw new Exception("Something goes wrong");
}
// 8. Retrieving results (we created rectangle that is "closest" to the initial lines)
var resultGeometry = parametric.GetSolution(true);
// 9. We can find corresponding objects by id
var resultLine1 = (CheetahLine2D)resultGeometry.Single(x => x.Id == line1.Id);
var resultLine2 = (CheetahLine2D)resultGeometry.Single(x => x.Id == line2.Id);
var resultLine3 = (CheetahLine2D)resultGeometry.Single(x => x.Id == line3.Id);
var resultLine4 = (CheetahLine2D)resultGeometry.Single(x => x.Id == line4.Id);
// 10. Now we can check that all constraints are satisfied (line segments form rectangle)
if (Math.Abs(resultLine1.End.X - resultLine2.Start.X) > precision || Math.Abs(resultLine1.End.Y - resultLine2.Start.Y) > precision)
{
throw new Exception("Something goes wrong");
}
if (Math.Abs(resultLine2.End.X - resultLine3.Start.X) > precision || Math.Abs(resultLine2.End.Y - resultLine3.Start.Y) > precision)
{
throw new Exception("Something goes wrong");
}
if (Math.Abs(resultLine3.End.X - resultLine4.Start.X) > precision || Math.Abs(resultLine3.End.Y - resultLine4.Start.Y) > precision)
{
throw new Exception("Something goes wrong");
}
if (Math.Abs(resultLine4.End.X - resultLine1.Start.X) > precision || Math.Abs(resultLine4.End.Y - resultLine1.Start.Y) > precision)
{
throw new Exception("Something goes wrong");
}
if (!IsDivisible(resultLine1.PolarAngle - resultLine2.PolarAngle, Math.PI / 2, precision))
{
throw new Exception("Something goes wrong");
}
if (!IsDivisible(resultLine2.PolarAngle - resultLine3.PolarAngle, Math.PI / 2, precision))
{
throw new Exception("Something goes wrong");
}
if (!IsDivisible(resultLine2.PolarAngle - resultLine4.PolarAngle, Math.PI, precision))
{
throw new Exception("Something goes wrong");
}
GC.Collect();
} // Main(...)
static void Main(string[] args)
{
// 1. Creating data set
var dataSet = new CheetahDataSet();
// 2. Creating geometry
var line1 = new CheetahLine2D(0, 0, 10, 1);
var line2 = new CheetahLine2D(10, 0, 10, 11);
var line3 = new CheetahLine2D(10, 10, 1, 10);
var line4 = new CheetahLine2D(0, 10, 1, 1);
// 3. Creating constraints
dataSet.AddCoincidence(line1, IdentifiableValueReferences.LineEnd,
line2, IdentifiableValueReferences.LineStart);
dataSet.AddCoincidence(line2, IdentifiableValueReferences.LineEnd,
line3, IdentifiableValueReferences.LineStart);
dataSet.AddCoincidence(line3, IdentifiableValueReferences.LineEnd,
line4, IdentifiableValueReferences.LineStart);
dataSet.AddCoincidence(line4, IdentifiableValueReferences.LineEnd,
line1, IdentifiableValueReferences.LineStart);
dataSet.AddPerpendicular(line1, line2);
dataSet.AddPerpendicular(line2, line3);
dataSet.AddParallel(line2, line4);
// 4. Creating solver object
var solver = new SolverCpu10();
// 5. Creating parametric object and setting tolerance (by default 1E-12)
var parametric = new CheetahParametricBasic(() => solver, false, true, true);
const double precision = 1E-14; // Working with better accuracy then default 1E-12
CheetahParametricBasic.Settings.Precision = precision;
// 6. Initializing parametric object using data set
if (!parametric.Init(dataSet, null, null))
throw new Exception("Something goes wrong");
// 7. Regenerating constrained model (running solver)
if (!parametric.Evaluate())
throw new Exception("Something goes wrong");
// 8. Retrieving results (we created rectangle that is "closest" to the initial lines)
var resultGeometry = parametric.GetSolution(true);
// 9. We can find corresponding objects by id
var resultLine1 = (CheetahLine2D)resultGeometry.Single(x => x.Id == line1.Id);
var resultLine2 = (CheetahLine2D)resultGeometry.Single(x => x.Id == line2.Id);
var resultLine3 = (CheetahLine2D)resultGeometry.Single(x => x.Id == line3.Id);
var resultLine4 = (CheetahLine2D)resultGeometry.Single(x => x.Id == line4.Id);
// 10. Now we can check that all constraints are satisfied (line segments form rectangle)
if (Math.Abs(resultLine1.End.X - resultLine2.Start.X) > precision || Math.Abs(resultLine1.End.Y - resultLine2.Start.Y) > precision)
throw new Exception("Something goes wrong");
if (Math.Abs(resultLine2.End.X - resultLine3.Start.X) > precision || Math.Abs(resultLine2.End.Y - resultLine3.Start.Y) > precision)
throw new Exception("Something goes wrong");
if (Math.Abs(resultLine3.End.X - resultLine4.Start.X) > precision || Math.Abs(resultLine3.End.Y - resultLine4.Start.Y) > precision)
throw new Exception("Something goes wrong");
if (Math.Abs(resultLine4.End.X - resultLine1.Start.X) > precision || Math.Abs(resultLine4.End.Y - resultLine1.Start.Y) > precision)
throw new Exception("Something goes wrong");
if (!IsDivisible(resultLine1.PolarAngle - resultLine2.PolarAngle, Math.PI / 2, precision))
throw new Exception("Something goes wrong");
if (!IsDivisible(resultLine2.PolarAngle - resultLine3.PolarAngle, Math.PI / 2, precision))
throw new Exception("Something goes wrong");
if (!IsDivisible(resultLine2.PolarAngle - resultLine4.PolarAngle, Math.PI, precision))
throw new Exception("Something goes wrong");
GC.Collect();
} // Main(...)