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C# Complex.IsZero方法代码示例

本文整理汇总了C#中System.Complex.IsZero方法的典型用法代码示例。如果您正苦于以下问题:C# Complex.IsZero方法的具体用法?C# Complex.IsZero怎么用?C# Complex.IsZero使用的例子?那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在System.Complex的用法示例。


在下文中一共展示了Complex.IsZero方法的4个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的C#代码示例。

示例1: AddVectorToScaledVector

        /// <summary>
        /// Adds a scaled vector to another: <c>result = y + alpha*x</c>.
        /// </summary>
        /// <param name="y">The vector to update.</param>
        /// <param name="alpha">The value to scale <paramref name="x"/> by.</param>
        /// <param name="x">The vector to add to <paramref name="y"/>.</param>
        /// <param name="result">The result of the addition.</param>
        /// <remarks>This is similar to the AXPY BLAS routine.</remarks>
        public virtual void AddVectorToScaledVector(Complex[] y, Complex alpha, Complex[] x, Complex[] result)
        {
            if (y == null)
            {
                throw new ArgumentNullException("y");
            }

            if (x == null)
            {
                throw new ArgumentNullException("x");
            }

            if (y.Length != x.Length)
            {
                throw new ArgumentException(Resources.ArgumentVectorsSameLength);
            }

            if (y.Length != x.Length)
            {
                throw new ArgumentException(Resources.ArgumentVectorsSameLength);
            }

            if (alpha.IsZero())
            {
                y.Copy(result);
            }
            else if (alpha.IsOne())
            {
                CommonParallel.For(0, y.Length, 4096, (a, b) =>
                {
                    for (int i = a; i < b; i++)
                    {
                        result[i] = y[i] + x[i];
                    }
                });
            }
            else
            {
                CommonParallel.For(0, y.Length, 4096, (a, b) =>
                {
                    for (int i = a; i < b; i++)
                    {
                        result[i] = y[i] + (alpha*x[i]);
                    }
                });
            }
        }
开发者ID:jafffy,项目名称:mathnet-numerics,代码行数:55,代码来源:ManagedLinearAlgebraProvider.Complex.cs

示例2: ScaleArray

        /// <summary>
        /// Scales an array. Can be used to scale a vector and a matrix.
        /// </summary>
        /// <param name="alpha">The scalar.</param>
        /// <param name="x">The values to scale.</param>
        /// <param name="result">This result of the scaling.</param>
        /// <remarks>This is similar to the SCAL BLAS routine.</remarks>
        public virtual void ScaleArray(Complex alpha, Complex[] x, Complex[] result)
        {
            if (x == null)
            {
                throw new ArgumentNullException("x");
            }

            if (alpha.IsZero())
            {
                Array.Clear(result, 0, result.Length);
            }
            else if (alpha.IsOne())
            {
                x.Copy(result);
            }
            else
            {
                CommonParallel.For(0, x.Length, 4096, (a, b) =>
                {
                    for (int i = a; i < b; i++)
                    {
                        result[i] = alpha*x[i];
                    }
                });
            }
        }
开发者ID:jafffy,项目名称:mathnet-numerics,代码行数:33,代码来源:ManagedLinearAlgebraProvider.Complex.cs

示例3: MatrixMultiplyWithUpdate

        /// <summary>
        /// Multiplies two matrices and updates another with the result. <c>c = alpha*op(a)*op(b) + beta*c</c>
        /// </summary>
        /// <param name="transposeA">How to transpose the <paramref name="a"/> matrix.</param>
        /// <param name="transposeB">How to transpose the <paramref name="b"/> matrix.</param>
        /// <param name="alpha">The value to scale <paramref name="a"/> matrix.</param>
        /// <param name="a">The a matrix.</param>
        /// <param name="rowsA">The number of rows in the <paramref name="a"/> matrix.</param>
        /// <param name="columnsA">The number of columns in the <paramref name="a"/> matrix.</param>
        /// <param name="b">The b matrix</param>
        /// <param name="rowsB">The number of rows in the <paramref name="b"/> matrix.</param>
        /// <param name="columnsB">The number of columns in the <paramref name="b"/> matrix.</param>
        /// <param name="beta">The value to scale the <paramref name="c"/> matrix.</param>
        /// <param name="c">The c matrix.</param>
        public virtual void MatrixMultiplyWithUpdate(Transpose transposeA, Transpose transposeB, Complex alpha, Complex[] a, int rowsA, int columnsA, Complex[] b, int rowsB, int columnsB, Complex beta, Complex[] c)
        {
            int m; // The number of rows of matrix op(A) and of the matrix C.
            int n; // The number of columns of matrix op(B) and of the matrix C.
            int k; // The number of columns of matrix op(A) and the rows of the matrix op(B).

            // First check some basic requirement on the parameters of the matrix multiplication.
            if (a == null)
            {
                throw new ArgumentNullException("a");
            }

            if (b == null)
            {
                throw new ArgumentNullException("b");
            }

            if ((int) transposeA > 111 && (int) transposeB > 111)
            {
                if (rowsA != columnsB)
                {
                    throw new ArgumentOutOfRangeException();
                }

                if (columnsA*rowsB != c.Length)
                {
                    throw new ArgumentOutOfRangeException();
                }

                m = columnsA;
                n = rowsB;
                k = rowsA;
            }
            else if ((int) transposeA > 111)
            {
                if (rowsA != rowsB)
                {
                    throw new ArgumentOutOfRangeException();
                }

                if (columnsA*columnsB != c.Length)
                {
                    throw new ArgumentOutOfRangeException();
                }

                m = columnsA;
                n = columnsB;
                k = rowsA;
            }
            else if ((int) transposeB > 111)
            {
                if (columnsA != columnsB)
                {
                    throw new ArgumentOutOfRangeException();
                }

                if (rowsA*rowsB != c.Length)
                {
                    throw new ArgumentOutOfRangeException();
                }

                m = rowsA;
                n = rowsB;
                k = columnsA;
            }
            else
            {
                if (columnsA != rowsB)
                {
                    throw new ArgumentOutOfRangeException();
                }

                if (rowsA*columnsB != c.Length)
                {
                    throw new ArgumentOutOfRangeException();
                }

                m = rowsA;
                n = columnsB;
                k = columnsA;
            }

            if (alpha.IsZero() && beta.IsZero())
            {
                Array.Clear(c, 0, c.Length);
                return;
//.........这里部分代码省略.........
开发者ID:jafffy,项目名称:mathnet-numerics,代码行数:101,代码来源:ManagedLinearAlgebraProvider.Complex.cs

示例4: Pow

        public static Complex Pow(Complex value, Complex power)
        {
            if (value.IsZero())
            {
                if (power.IsZero())
                {
                    return Complex.One;
                }

                if (power.Real > 0.0)
                {
                    return Complex.Zero;
                }

                if (power.Real < 0)
                {
                    return power.Imaginary == 0.0 ? new Complex(double.PositiveInfinity, 0.0) : new Complex(double.PositiveInfinity, double.PositiveInfinity);
                }

                return double.NaN;
            }
            /*if(value.IsReal() && value < 0.0)
			{
				return Math.Pow(value, power);
			}*/
            return Exp(power * Ln(value));
        }
开发者ID:zdimension,项目名称:IMPression,代码行数:27,代码来源:Functions.cs


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