public void ComputeStatistics(out float validRegion, out float mean, out float sd)
{
int numValidCells = 0;
mean = 0;
sd = 0;
GridIndex range = new GridIndex(Size);
foreach (GridIndex idx in range)
{
float s = this[(int)idx];
if (s != InvalidValue)
{
numValidCells++;
mean += s;
}
}
validRegion = (float)numValidCells / Size.Product();
mean /= numValidCells;
// Compute standard derivative.
range.Reset();
foreach (GridIndex idx in range)
{
float s = this[(int)idx];
if (s != InvalidValue)
{
float diff = s - mean;
sd += diff * diff;
}
}
sd /= numValidCells;
sd = (float)Math.Sqrt(sd);
}
public VectorFieldUnsteady(VectorFieldUnsteady field, VFJFunction function, int outputDim)
{
int scalars = outputDim;
FieldGrid gridCopy = field._scalarsUnsteady[0].TimeSlices[0].Grid.Copy();
_scalarsUnsteady = new ScalarFieldUnsteady[outputDim];
// Reserve the space.
for (int comp = 0; comp < outputDim; ++comp)
{
ScalarField[] fields = new ScalarField[field.Size.T]; //(field.Grid);
for (int t = 0; t < field.Size.T; ++t)
{
fields[t] = new ScalarField(gridCopy);
}
_scalarsUnsteady[comp] = new ScalarFieldUnsteady(fields);
_scalarsUnsteady[comp].TimeOrigin = field[0].TimeOrigin ?? 0;
_scalarsUnsteady[comp].InvalidValue = field.InvalidValue;
_scalarsUnsteady[comp].DoNotScale();
}
this.InvalidValue = field.InvalidValue;
this.TimeOrigin = field.TimeOrigin;
Grid = field.Grid.Copy();
// Since the time component is in the grid size as well, we do not need to account for time specially.
GridIndex indexIterator = new GridIndex(field.Size);
foreach (GridIndex index in indexIterator)
{
Vector v = field.Sample((int)index);
if (v[0] == InvalidValue)
{
for (int dim = 0; dim < Scalars.Length; ++dim)
{
_scalarsUnsteady[dim][(int)index] = (float)InvalidValue;
}
continue;
}
SquareMatrix J = field.SampleDerivative(index);
Vector funcValue = function(v, J);
for (int dim = 0; dim < Scalars.Length; ++dim)
{
Scalars[dim][(int)index] = funcValue[dim];
}
}
}
public VectorField(VectorField field, VFJFunction function, int outputDim, bool needJacobian = true)
{
int scalars = outputDim;/*function(field.Sample(0), field.SampleDerivative(new Vector(0, field.Size.Length))).Length;*/
_scalars = new ScalarField[scalars];
FieldGrid gridCopy = field.Grid.Copy();
// In case the input field was time dependant, this one is not. Still, we keep the size and origin of the time as new dimension!
gridCopy.TimeDependant = false;
for (int dim = 0; dim < scalars; ++dim)
{
Scalars[dim] = new ScalarField(gridCopy);
}
this.InvalidValue = field.InvalidValue;
GridIndex indexIterator = new GridIndex(field.Size);
foreach (GridIndex index in indexIterator)
{
Vector v = field.Sample((int)index);
if (v[0] == InvalidValue)
{
for (int dim = 0; dim < Scalars.Length; ++dim)
{
Scalars[dim][(int)index] = (float)InvalidValue;
}
continue;
}
SquareMatrix J = needJacobian? field.SampleDerivative(index) : null;
Vector funcValue = function(v, J);
for (int dim = 0; dim < Scalars.Length; ++dim)
{
var vec = Scalars[dim];
Scalars[dim][(int)index] = funcValue[dim];
}
}
}
public ScalarField(ScalarField field, SGFunction function, bool needJ = true)
{
_data = new float[field.Size.Product()];
Grid = field.Grid;
this.InvalidValue = field.InvalidValue;
GridIndex indexIterator = new GridIndex(field.Size);
foreach (GridIndex index in indexIterator)
{
float s = field[(int)index];
if (s == InvalidValue)
{
this[(int)index] = (float)InvalidValue;
}
else
{
Vector g = needJ ? field.SampleDerivative(index) : new Vec2(0, 0);
this[(int)index] = function(s, g);
}
}
}
