// <copyright file="Vector.cs" company="Math.NET">
// Math.NET Numerics, part of the Math.NET Project
// http://numerics.mathdotnet.com
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// http://mathnetnumerics.codeplex.com
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using MathNet.Numerics.LinearAlgebra.Storage;
using MathNet.Numerics.Threading;
using System;

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

        /// <summary>
        /// Set all values whose absolute value is smaller than the threshold to zero.
        /// </summary>
        public override void CoerceZero(double threshold)
        {
            MapInplace(x => Math.Abs(x) < threshold ? 0f : x, Zeros.AllowSkip);
        }

        /// <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(float scalar, Vector<float> 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 sealed void DoAdd(Vector<float> other, Vector<float> result)
        {
            Control.ExperimentalLinearAlgebraProvider.AddVectors(Storage, other.Storage, result.Storage);
        }

        /// <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(float scalar, Vector<float> 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<float> other, Vector<float> 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(float scalar, Vector<float> 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="divisor">
        /// The scalar to divide with.
        /// </param>
        /// <param name="result">
        /// The vector to store the result of the division.
        /// </param>
        protected override void DoDivide(float divisor, Vector<float> result)
        {
            DoMultiply(1 / divisor, result);
        }

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

        /// <summary>
        /// Pointwise raise this vector to an exponent and store the result into the result vector.
        /// </summary>
        /// <param name="exponent">The exponent to raise this vector values to.</param>
        /// <param name="result">The vector to store the result of the pointwise power.</param>
        protected override void DoPointwisePower(float exponent, Vector<float> result)
        {
            Map(x => (float)Math.Pow(x, exponent), result, Zeros.AllowSkip);
        }

        /// <summary>
        /// Pointwise canonical modulus, where the result has the sign of the divisor,
        /// of this vector with another vector and stores the result into the result vector.
        /// </summary>
        /// <param name="divisor">The pointwise denominator vector to use.</param>
        /// <param name="result">The result of the modulus.</param>
        protected override void DoPointwiseModulus(Vector<float> divisor, Vector<float> result)
        {
            for (var index = 0; index < Count; index++)
            {
                result.At(index, Euclid.Modulus(At(index), divisor.At(index)));
            }
        }

        /// <summary>
        /// Pointwise remainder (% operator), where the result has the sign of the dividend,
        /// of this vector with another vector and stores the result into the result vector.
        /// </summary>
        /// <param name="divisor">The pointwise denominator vector to use.</param>
        /// <param name="result">The result of the modulus.</param>
        protected override void DoPointwiseRemainder(Vector<float> divisor, Vector<float> result)
        {
            for (var index = 0; index < Count; index++)
            {
                result.At(index, At(index)%divisor.At(index));
            }
        }

        /// <summary>
        /// Pointwise applies the exponential function to each value and stores the result into the result vector.
        /// </summary>
        /// <param name="result">The vector to store the result.</param>
        protected override void DoPointwiseExp(Vector<float> result)
        {
            Map(x => (float)Math.Exp(x), result, Zeros.Include);
        }

        /// <summary>
        /// Pointwise applies the natural logarithm function to each value and stores the result into the result vector.
        /// </summary>
        /// <param name="result">The vector to store the result.</param>
        protected override void DoPointwiseLog(Vector<float> result)
        {
            Map(x => (float)Math.Log(x), result, Zeros.Include);
        }

        /// <summary>
        /// Computes the dot product between this vector and another vector.
        /// </summary>
        /// <param name="other">The other vector.</param>
        /// <returns>The sum of a[i]*b[i] for all i.</returns>
        protected override float DoDotProduct(Vector<float> other)
        {
            var dot = 0.0f;
            for (var i = 0; i < Count; i++)
            {
                dot += At(i) * other.At(i);
            }
            return dot;
        }

        /// <summary>
        /// Computes the dot product between the conjugate of this vector and another vector.
        /// </summary>
        /// <param name="other">The other vector.</param>
        /// <returns>The sum of conj(a[i])*b[i] for all i.</returns>
        protected override sealed float DoConjugateDotProduct(Vector<float> other)
        {
            return DoDotProduct(other);
        }

        /// <summary>
        /// Computes the canonical modulus, where the result has the sign of the divisor,
        /// for each element of the vector for the given divisor.
        /// </summary>
        /// <param name="divisor">The scalar denominator to use.</param>
        /// <param name="result">A vector to store the results in.</param>
        protected override void DoModulus(float divisor, Vector<float> result)
        {
            for (int i = 0; i < Count; i++)
            {
                result.At(i, Euclid.Modulus(At(i), divisor));
            }
        }

        /// <summary>
        /// Computes the canonical modulus, where the result has the sign of the divisor,
        /// for the given dividend for each element of the vector.
        /// </summary>
        /// <param name="dividend">The scalar numerator to use.</param>
        /// <param name="result">A vector to store the results in.</param>
        protected override void DoModulusByThis(float dividend, Vector<float> result)
        {
            for (var index = 0; index < Count; index++)
            {
                result.At(index, Euclid.Modulus(dividend, At(index)));
            }
        }

        /// <summary>
        /// Computes the remainder (% operator), where the result has the sign of the dividend,
        /// for each element of the vector for the given divisor.
        /// </summary>
        /// <param name="divisor">The scalar denominator to use.</param>
        /// <param name="result">A vector to store the results in.</param>
        protected override void DoRemainder(float divisor, Vector<float> result)
        {
            for (int i = 0; i < Count; i++)
            {
                result.At(i, At(i)%divisor);
            }
        }

        /// <summary>
        /// Computes the remainder (% operator), where the result has the sign of the dividend,
        /// for the given dividend for each element of the vector.
        /// </summary>
        /// <param name="dividend">The scalar numerator to use.</param>
        /// <param name="result">A vector to store the results in.</param>
        protected override void DoRemainderByThis(float dividend, Vector<float> result)
        {
            for (var index = 0; index < Count; index++)
            {
                result.At(index, dividend%At(index));
            }
        }

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

        /// <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 = Math.Abs(At(index));
            for (var i = 1; i < Count; i++)
            {
                var test = Math.Abs(At(i));
                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 float AbsoluteMaximum()
        {
            return Math.Abs(At(AbsoluteMaximumIndex()));
        }

        /// <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 = Math.Abs(At(index));
            for (var i = 1; i < Count; i++)
            {
                var test = Math.Abs(At(i));
                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 float Sum()
        {
            var sum = 0.0f;
            for (var i = 0; i < Count; i++)
            {
                sum += At(i);
            }
            return sum;
        }

        /// <summary>
        /// Calculates the L1 norm of the vector, also known as Manhattan norm.
        /// </summary>
        /// <returns>The sum of the absolute values.</returns>
        public override double L1Norm()
        {
            double sum = 0d;
            for (var i = 0; i < Count; i++)
            {
                sum += Math.Abs(At(i));
            }
            return sum;
        }

        /// <summary>
        /// Calculates the L2 norm of the vector, also known as Euclidean norm.
        /// </summary>
        /// <returns>The square root of the sum of the squared values.</returns>
        public override double L2Norm()
        {
            return Math.Sqrt(DoDotProduct(this));
        }

        /// <summary>
        /// Calculates the infinity norm of the vector.
        /// </summary>
        /// <returns>The maximum absolute value.</returns>
        public override double InfinityNorm()
        {
            return CommonParallel.Aggregate(0, Count, i => Math.Abs(At(i)), Math.Max, 0f);
        }

        /// <summary>
        /// Computes the p-Norm.
        /// </summary>
        /// <param name="p">
        /// The p value.
        /// </param>
        /// <returns>
        /// <c>Scalar ret = ( ∑|At(i)|^p )^(1/p)</c>
        /// </returns>
        public override double Norm(double p)
        {
            if (p < 0d) throw new ArgumentOutOfRangeException("p");

            if (p == 1d) return L1Norm();
            if (p == 2d) return L2Norm();
            if (double.IsPositiveInfinity(p)) return InfinityNorm();

            double sum = 0d;
            for (var index = 0; index < Count; index++)
            {
                sum += Math.Pow(Math.Abs(At(index)), p);
            }
            return 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<float> result)
        {
            if (ReferenceEquals(this, result))
            {
                return;
            }

            CopyTo(result);
        }

        /// <summary>
        /// Negates vector and saves result to <paramref name="result"/>
        /// </summary>
        /// <param name="result">Target vector</param>
        protected override void DoNegate(Vector<float> 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()
        {
            var index = 0;
            var max = At(index);
            for (var i = 1; i < Count; i++)
            {
                var test = At(i);
                if (test > max)
                {
                    index = i;
                    max = test;
                }
            }

            return index;
        }

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

            return index;
        }

        /// <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<float> Normalize(double p)
        {
            if (p < 0d)
            {
                throw new ArgumentOutOfRangeException("p");
            }

            double norm = Norm(p);
            var clone = Clone();
            if (norm == 0d)
            {
                return clone;
            }

            clone.Multiply((float)(1d / norm), clone);

            return clone;
        }
    }
}