public TensorContraction(BinaryExpression expr, TensorIndexExpression tie, params Dimension[] shape) : base(expr, shape)
{
{
expr.ThrowIfNotType <TensorExpression>();
this.LHSTensor = tie.LHSTensor;
this.LHSIndexSet = tie.LHSIndexSet;
}
}
public static TensorIndexExpression Sum(TensorIndexExpression l) =>
new TensorIndexExpression(GetOpMethodCall("Sum", l));
private static TensorIndexExpression Op_Min(TensorIndexExpression l) => null;
private static TensorIndexExpression Op_Product(TensorIndexExpression l) => null;
public static TensorIndexExpression Mean(TensorIndexExpression l)
{
var mulExpr = l.GetDimensionProductExpression();
return(Sum(l) / mulExpr);
}
public static TensorIndexExpression Min(TensorIndexExpression l) =>
new TensorIndexExpression(GetOpMethodCall("Min", l));
public static TensorIndexExpression Product(TensorIndexExpression l) =>
new TensorIndexExpression(GetOpMethodCall("Product", l));
public TensorIndexExpression this[TensorIndexExpression e] => Operation(e);
public static TensorIndexExpression Square(TensorIndexExpression l) => l * l;
public Scalar(string name, TensorIndexExpression expr) : this(name)
{
this.ContractionDefinition = (null, new TensorContraction(expr, this));
}
public TensorContraction(TensorIndexExpression expr, Tensor lhsTensor, IndexSet lhsIndexSet, params Dimension[] shape)
: base(expr, shape)
{
this.LHSTensor = lhsTensor;
this.LHSIndexSet = lhsIndexSet;
}
public TensorContraction(TensorIndexExpression expr, Tensor lhsTensor)
: base(expr)
{
this.LHSTensor = lhsTensor;
}