linearequations.vb

这里是用VB写的数学库。以前用C、C++写的比较多。内容有：复数运算、矩阵运算、解方程、积分微分等。非常有用。

' The GeneralMatrix and LUDecomposition classes reside in the 
' Extreme.Mathematics.LinearAlgebra namespace.
Imports Extreme.Mathematics.LinearAlgebra

Namespace Extreme.Mathematics.QuickStart.VB

    ' Illustrates solving systems of simultaneous linear
    ' equations using the GeneralMatrix and LUDecomposition classes 
    ' in the Extreme.Mathematics.LinearAlgebra namespace of the Extreme 
    ' Optimization Mathematics Library for .NET.
    Module LinearEquations

        Sub Main()
            ' A system of simultaneous linear equations is
            ' defined by a square matrix A and a right-hand
            ' side B, which can be a vector or a matrix.
            '
            ' You can use any matrix type for the matrix A.
            ' The optimal algorithm is automatically selected.

            ' Let's start with a general matrix:
            Dim m As GeneralMatrix = New GeneralMatrix(4, 4, New Double() _
                {1, 1, 1, 1, _
                 1, 2, 3, 4, _
                 1, 4, 9, 16, _
                 1, 2, 1, 2})
            Dim b1 As Vector = New GeneralVector(1, 3, 6, 3)
            Dim b2 As GeneralMatrix = New GeneralMatrix(4, 2, New Double() _
                {1, 3, 6, 3, _
                 2, 3, 5, 8})
            Console.WriteLine("m = {0:F4}", m)

            '
            ' The Solve method
            '

            ' The following solves m x = b1. The second 
            ' parameter specifies whether to overwrite the
            ' right-hand side with the result.
            Dim x1 As Vector = m.Solve(b1, False)
            Console.WriteLine("x1 = {0:F4}", x1)
            ' If the overwrite parameter is omitted, the
            ' right-hand-side is overwritten with the solution:
            m.Solve(b1)
            Console.WriteLine("b1 = {0:F4}", b1)
            ' You can solve for multiple right hand side 
            ' vectors by passing them in a GeneralMatrix:
            Dim x2 As GeneralMatrix = m.Solve(b2, False)
            Console.WriteLine("x2 = {0:F4}", x2)

            '
            ' Related Methods
            '

            ' You can verify whether a matrix is singular
            ' using the IsSingular method:
            Console.WriteLine("IsSingular(m) = {0:F4}", _
                m.IsSingular())
            ' The inverse matrix is returned by the GetInverse
            ' method:
            Console.WriteLine("GetInverse(m) = {0:F4}", m.GetInverse())
            ' The determinant is also available:
            Console.WriteLine("Det(m) = {0:F4}", m.GetDeterminant())
            ' The condition number is an estimate for the
            ' loss of precision in solving the equations
            Console.WriteLine("Cond(m) = {0:F4}", m.EstimateConditionNumber())
            Console.WriteLine()

            '
            ' The LUDecomposition class
            '

            ' If multiple operations need to be performed
            ' on the same matrix, it is more efficient to use
            ' the LUDecomposition class. This class does the
            ' bulk of the calculations only once.
            Console.WriteLine("Using LU Decomposition:")
            ' The constructor takes an optional second argument
            ' indicating whether to overwrite the original
            ' matrix with its decomposition:
            Dim lu As LUDecomposition = New LUDecomposition(m, False)
            ' All methods mentioned earlier are still available:
            x2 = lu.Solve(b2, False)
            Console.WriteLine("x2 = {0:F4}", x2)
            Console.WriteLine("IsSingular(m) = {0:F4}", _
                lu.IsSingular())
            Console.WriteLine("GetInverse(m) = {0:F4}", lu.GetInverse())
            Console.WriteLine("Det(m) = {0:F4}", lu.GetDeterminant())
            Console.WriteLine("Cond(m) = {0:F4}", lu.EstimateConditionNumber())
            ' In addition, you have access to the
            ' components, L and U of the decomposition.
            ' L is lower unit-triangular:
            Console.WriteLine("  L = {0:F4}", lu.LowerTriangularFactor)
            ' U is upper triangular:
            Console.WriteLine("  U = {0:F4}", lu.UpperTriangularFactor)

            Console.Write("Press Enter key to exit...")
            Console.ReadLine()
        End Sub

    End Module

End Namespace