mathnet-numerics/src/Numerics/LinearAlgebra/Complex32/Vector.cs

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namespace MathNet.Numerics.LinearAlgebra.Complex32
{
    using System;
    using Generic;
    using Storage;
    using Threading;
    using Complex32 = Numerics.Complex32;

    /// <summary>
    /// <c>Complex32</c> version of the <see cref="Vector{T}"/> class.
    /// </summary>
    [Serializable]
    public abstract class Vector : Vector<Complex32>
    {
        /// <summary>
        /// Initializes a new instance of the Vector class.
        /// </summary>
        protected Vector(VectorStorage<Complex32> storage)
            : base(storage)
        {
        }

        /// <summary>
        /// Adds a scalar to each element of the vector and stores the result in the result vector.
        /// </summary>
        /// <param name="scalar">
        /// The scalar to add.
        /// </param>
        /// <param name="result">
        /// The vector to store the result of the addition.
        /// </param>
        protected override void DoAdd(Complex32 scalar, Vector<Complex32> result)
        {
            for (var index = 0; index < Count; index++)
            {
                result.At(index, At(index) + scalar);
            }
        }

        /// <summary>
        /// Adds another vector to this vector and stores the result into the result vector.
        /// </summary>
        /// <param name="other">
        /// The vector to add to this one.
        /// </param>
        /// <param name="result">
        /// The vector to store the result of the addition.
        /// </param>
        protected override void DoAdd(Vector<Complex32> other, Vector<Complex32> result)
        {
            for (var index = 0; index < Count; index++)
            {
                result.At(index, At(index) + other.At(index));
            }
        }

        /// <summary>
        /// Subtracts a scalar from each element of the vector and stores the result in the result vector.
        /// </summary>
        /// <param name="scalar">
        /// The scalar to subtract.
        /// </param>
        /// <param name="result">
        /// The vector to store the result of the subtraction.
        /// </param>
        protected override void DoSubtract(Complex32 scalar, Vector<Complex32> result)
        {
            DoAdd(-scalar, result);
        }

        /// <summary>
        /// Subtracts another vector to this vector and stores the result into the result vector.
        /// </summary>
        /// <param name="other">
        /// The vector to subtract from this one.
        /// </param>
        /// <param name="result">
        /// The vector to store the result of the subtraction.
        /// </param>
        protected override void DoSubtract(Vector<Complex32> other, Vector<Complex32> result)
        {
            for (var index = 0; index < Count; index++)
            {
                result.At(index, At(index) - other.At(index));
            }
        }

        /// <summary>
        /// Multiplies a scalar to each element of the vector and stores the result in the result vector.
        /// </summary>
        /// <param name="scalar">
        /// The scalar to multiply.
        /// </param>
        /// <param name="result">
        /// The vector to store the result of the multiplication.
        /// </param>
        protected override void DoMultiply(Complex32 scalar, Vector<Complex32> result)
        {
            for (var index = 0; index < Count; index++)
            {
                result.At(index, At(index) * scalar);
            }
        }

        /// <summary>
        /// Divides each element of the vector by a scalar and stores the result in the result vector.
        /// </summary>
        /// <param name="scalar">
        /// The scalar to divide with.
        /// </param>
        /// <param name="result">
        /// The vector to store the result of the division.
        /// </param>
        protected override void DoDivide(Complex32 scalar, Vector<Complex32> result)
        {
            DoMultiply(1 / scalar, result);
        }

        /// <summary>
        /// Divides a scalar by each element of the vector and stores the result in the result vector.
        /// </summary>
        /// <param name="scalar">The scalar to divide.</param>
        /// <param name="result">The vector to store the result of the division.</param>
        protected override void DoDivideByThis(Complex32 scalar, Vector<Complex32> result)
        {
            for (var index = 0; index < Count; index++)
            {
                result.At(index, scalar / At(index));
            }
        }

        /// <summary>
        /// Pointwise multiplies this vector with another vector and stores the result into the result vector.
        /// </summary>
        /// <param name="other">The vector to pointwise multiply with this one.</param>
        /// <param name="result">The vector to store the result of the pointwise multiplication.</param>
        protected override void DoPointwiseMultiply(Vector<Complex32> other, Vector<Complex32> result)
        {
            for (var index = 0; index < Count; index++)
            {
                result.At(index, At(index) * other.At(index));
            }
        }

        /// <summary>
        /// Pointwise divide this vector with another vector and stores the result into the result vector.
        /// </summary>
        /// <param name="other">The vector to pointwise divide this one by.</param>
        /// <param name="result">The vector to store the result of the pointwise division.</param>
        protected override void DoPointwiseDivide(Vector<Complex32> other, Vector<Complex32> result)
        {
            for (var index = 0; index < Count; index++)
            {
                result.At(index, At(index) / other.At(index));
            }
        }

        /// <summary>
        /// Computes the dot product between this vector and another vector.
        /// </summary>
        /// <param name="other">
        /// The other vector to add.
        /// </param>
        /// <returns>s
        /// The result of the addition.
        /// </returns>
        protected override Complex32 DoDotProduct(Vector<Complex32> other)
        {
            var dot = Complex32.Zero;

            for (var i = 0; i < Count; i++)
            {
                dot += At(i) * other.At(i);
            }

            return dot;
        }

        /// <summary>
        /// Computes the modulus for each element of the vector for the given divisor.
        /// </summary>
        /// <param name="divisor">The divisor to use.</param>
        /// <param name="result">A vector to store the results in.</param>
        protected override void DoModulus(Complex32 divisor, Vector<Complex32> result)
        {
            throw new NotSupportedException();
        }

        /// <summary>
        /// Returns the value of the absolute minimum element.
        /// </summary>
        /// <returns>The value of the absolute minimum element.</returns>
        public override Complex32 AbsoluteMinimum()
        {
            return At(AbsoluteMinimumIndex()).Magnitude;
        }

        /// <summary>
        /// Returns the index of the absolute minimum element.
        /// </summary>
        /// <returns>The index of absolute minimum element.</returns>
        public override int AbsoluteMinimumIndex()
        {
            var index = 0;
            var min = At(index).Magnitude;
            for (var i = 1; i < Count; i++)
            {
                var test = At(i).Magnitude;
                if (test < min)
                {
                    index = i;
                    min = test;
                }
            }

            return index;
        }

        /// <summary>
        /// Returns the value of the absolute maximum element.
        /// </summary>
        /// <returns>The value of the absolute maximum element.</returns>
        public override Complex32 AbsoluteMaximum()
        {
            return At(AbsoluteMaximumIndex()).Magnitude;
        }

        /// <summary>
        /// Returns the index of the absolute maximum element.
        /// </summary>
        /// <returns>The index of absolute maximum element.</returns>
        public override int AbsoluteMaximumIndex()
        {
            var index = 0;
            var max = At(index).Magnitude;
            for (var i = 1; i < Count; i++)
            {
                var test = At(i).Magnitude;
                if (test > max)
                {
                    index = i;
                    max = test;
                }
            }

            return index;
        }

        /// <summary>
        /// Computes the sum of the vector's elements.
        /// </summary>
        /// <returns>The sum of the vector's elements.</returns>
        public override Complex32 Sum()
        {
            var sum = Complex32.Zero;

            for (var i = 0; i < Count; i++)
            {
                sum += At(i);
            }

            return sum;
        }

        /// <summary>
        /// Computes the sum of the absolute value of the vector's elements.
        /// </summary>
        /// <returns>The sum of the absolute value of the vector's elements.</returns>
        public override Complex32 SumMagnitudes()
        {
            var sum = Complex32.Zero;

            for (var i = 0; i < Count; i++)
            {
                sum += At(i).Magnitude;
            }

            return sum;
        }

        /// <summary>
        /// Computes the p-Norm.
        /// </summary>
        /// <param name="p">
        /// The p value.
        /// </param>
        /// <returns>
        /// <c>Scalar ret = (sum(abs(At(i))^p))^(1/p)</c>
        /// </returns>
        public override Complex32 Norm(double p)
        {
            if (p < 0.0)
            {
                throw new ArgumentOutOfRangeException("p");
            }

            if (double.IsPositiveInfinity(p))
            {
                return CommonParallel.Aggregate(0, Count, i => At(i).Magnitude, Math.Max, 0f);
            }

            var sum = 0.0;

            for (var index = 0; index < Count; index++)
            {
                sum += Math.Pow(At(index).Magnitude, p);
            }

            return (float)Math.Pow(sum, 1.0 / p);
        }

        /// <summary>
        /// Conjugates vector and save result to <paramref name="result"/>
        /// </summary>
        /// <param name="result">Target vector</param>
        protected override void DoConjugate(Vector<Complex32> result)
        {
            for (var index = 0; index < Count; index++)
            {
                result.At(index, At(index).Conjugate());
            }
        }

        /// <summary>
        /// Negates vector and saves result to <paramref name="result"/>
        /// </summary>
        /// <param name="result">Target vector</param>
        protected override void DoNegate(Vector<Complex32> result)
        {
            for (var index = 0; index < Count; index++)
            {
                result.At(index, -At(index));
            }
        }

        /// <summary>
        /// Returns the index of the absolute maximum element.
        /// </summary>
        /// <returns>The index of absolute maximum element.</returns>
        public override int MaximumIndex()
        {
            throw new NotSupportedException();
        }

        /// <summary>
        /// Returns the index of the minimum element.
        /// </summary>
        /// <returns>The index of minimum element.</returns>
        public override int MinimumIndex()
        {
            throw new NotSupportedException();
        }

        /// <summary>
        /// Normalizes this vector to a unit vector with respect to the p-norm.
        /// </summary>
        /// <param name="p">
        /// The p value.
        /// </param>
        /// <returns>
        /// This vector normalized to a unit vector with respect to the p-norm.
        /// </returns>
        public override Vector<Complex32> Normalize(double p)
        {
            if (p < 0.0)
            {
                throw new ArgumentOutOfRangeException("p");
            }

            var norm = Norm(p);
            var clone = Clone();
            if (norm.Real == 0.0f)
            {
                return clone;
            }

            clone.Multiply(1.0f / norm, clone);

            return clone;
        }
    }
}