Example #1
0
        /// <inheritdoc/>
        public override ExpNode Execute(MultiplicationOperNode node)
        {
            double valueProg = 1;

            for (int i = 0; i < node.ChildCount; i++)
            {
                ExpNode simpleChild = node.GetChild(i).Execute(this);

                if (simpleChild is NumericalValueNode nvNode)
                {
                    valueProg *= nvNode.DoubleValue;
                    node.RemoveChild(i);
                    i--;
                }
                else if (simpleChild is MultiplicationOperNode mNode)
                {
                    mNode.TransferChildren(node);
                    node.RemoveChild(i);
                    i--;
                }
                else
                {
                    node.ReplaceChild(simpleChild, i);
                }
            }

            // Anything multiplied by 0, is zero
            if (valueProg == 0)
            {
                return(QuickOpers.MakeNumericalNode(0));
            }

            if (node.ChildCount == 0 || valueProg != 1)
            {
                node.AddChild(QuickOpers.MakeNumericalNode(valueProg));
            }

            MultiplicationHelpers.SimplfiyMTerms(node, this);

            if (node.ChildCount == 0)
            {
                return(QuickOpers.MakeNumericalNode(0));
            }
            else if (node.ChildCount == 1)
            {
                return(node.GetChild(0));
            }

            node = MultiplicationHelpers.MultiplyScalarTensor(node, this);

            if (node == null)
            {
                return(node);
            }

            return(MultiplicationHelpers.Distribute(node, this));
        }
Example #2
0
        /// <summary>
        /// Multiplies a tensor by scalars.
        /// </summary>
        /// <param name="node">The <see cref="MultiplicationOperNode"/> to simplify.</param>
        /// <param name="simplifier">The <see cref="Simplifier"/> calling.</param>
        /// <returns>The resuling <see cref="MultiplicationOperNode"/>.</returns>
        public static MultiplicationOperNode MultiplyScalarTensor(MultiplicationOperNode node, Simplifier simplifier)
        {
            TensorNode tensor1 = null;
            int        ti      = -1;

            for (int i = 0; i < node.ChildCount; i++)
            {
                if (i == ti)
                {
                    continue;
                }

                if (node.GetChild(i) is TensorNode tensor2)
                {
                    if (tensor1 != null)
                    {
                        if (i < ti)
                        {
                            TensorNode swap = tensor1;
                            tensor1 = tensor2;
                            tensor2 = swap;
                        }

                        if (!tensor1.CanMatrixMultiply(tensor2))
                        {
                            return((MultiplicationOperNode)simplifier.HandleError(new CannotMultiplyTensors(simplifier, node, $"Tensor nodes of size {tensor1.SizeIdentity} and {tensor2.SizeIdentity} could not be multiplied.")));
                        }
                    }
                    else
                    {
                        tensor1 = tensor2;
                        ti      = i;
                        i       = -1;
                    }
                }
                else
                {
                    if (tensor1 != null)
                    {
                        for (int j = 0; j < tensor1.ChildCount; j++)
                        {
                            ExpNode simpleChild = QuickOpers.Multiply(tensor1.GetChild(j), node.GetChild(i)).Execute(simplifier);
                            tensor1.ReplaceChild(simpleChild, j);
                        }

                        node.RemoveChild(i);
                        if (i < ti)
                        {
                            ti--;
                        }
                        i--;
                    }
                }
            }

            return(node);
        }