Date Author Comment 05-01-2013 heroyu Create it.

Matrix sample

using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;

namespace FTAPP
{
    class Matrix
    {
        double[,] matrix;
        int rows, columns;

        private static Matrix calibrationMatrix;

        public static Matrix CalibrationMatrix
        { 
            get {return calibrationMatrix;}
        }
/*
        public void SetData(int _i, int _j, double _value)
        {
            this[_i, _j] = _value;
        }

        public double GetData(int _i, int _j)
        {
            return this[_i, _j];
        }
*/
        // This will not be called till before the application terminates
        ~Matrix()
        {
            //
        }

        public Matrix(int sizeA, int sizeB)
        {
            rows = sizeA;
            columns = sizeB;
            matrix = new double[sizeA, sizeB];
        }
        /* F/T Sensor Calibration Matrix */

        public static void SetCalibrationMatrix()
        {
            calibrationMatrix = new Matrix(6, 6);
            calibrationMatrix[0, 0] = -0.093436621130; calibrationMatrix[0, 1] = 0.115474052727; calibrationMatrix[0, 2] = 1.528186559677; calibrationMatrix[0, 3] = -19.691669464111; calibrationMatrix[0, 4] = -0.753080368042; calibrationMatrix[0, 5] = 23.117815017700;
            calibrationMatrix[1, 0] = -1.120655894279; calibrationMatrix[1, 1] = 22.637573242188; calibrationMatrix[1, 2] = 0.694017291069; calibrationMatrix[1, 3] = -11.260780334473; calibrationMatrix[1, 4] = 0.574209690094; calibrationMatrix[1, 5] = -13.286062240601;
            calibrationMatrix[2, 0] = 30.217823028565; calibrationMatrix[2, 1] = -0.809691011906; calibrationMatrix[2, 2] = 29.938171386719; calibrationMatrix[2, 3] = -1.349689841270; calibrationMatrix[2, 4] =  30.000436782837; calibrationMatrix[2, 5] = -1.381491661072;
            calibrationMatrix[3, 0] = -0.018413484097; calibrationMatrix[3, 1] = 0.270402222872; calibrationMatrix[3, 2] = -1.012317061424; calibrationMatrix[3, 3] = -0.089849784970; calibrationMatrix[3, 4] =  1.033480882645; calibrationMatrix[3, 5] = -0.204911842942;
            calibrationMatrix[4, 0] = 1.207050561905;  calibrationMatrix[4, 1] = -0.031824681908; calibrationMatrix[4, 2] = -0.607400000095; calibrationMatrix[4, 3] =  0.261291444302; calibrationMatrix[4, 4] = -0.582980811596; calibrationMatrix[4, 5] = -0.247878879309;
            calibrationMatrix[5, 0] = 0.037201803178; calibrationMatrix[5, 1] = -0.673901915550; calibrationMatrix[5, 2] = 0.041472688317; calibrationMatrix[5, 3] = -0.670206844807; calibrationMatrix[5, 4] = 0.034041989595; calibrationMatrix[5, 5] = -0.790557265282;
        }

        // Indexer for setting/getting internal array elements
        public double this[int i, int j]
        {
            set { matrix[i, j] = value; }
            get { return matrix[i, j]; }
        }

        // Return number of rows in the matrix
        public int Rows
        {
            get { return rows; }
        }

        // Return number of columns in the matrix
        public int Columns
        {
            get { return columns; }
        }
        // Matrix multiplication routine
        public static void Matmul(Matrix A, Matrix B, Matrix C)
        {
            int i, j, k;

            for (i = 0; i < A.Rows; i++)
            {
                for (j = 0; j < B.Columns; j++)
                {
                    C[i, j] = 0;
                    for (k = 0; k < A.Rows; k++)
                    {
                        C[i,j] += A[i, k] * B[k, j];
                    }
                }
            }
        }
    }
}