public void Test_Multiply_Matrix_RectangularMatrix()
        {
            double[,] lhs =
            {
                { +88.409999999999997, -88.043999999999997 },
                { +91.227000000000004, -53.043999999999997 },
                { +15.042000000000000, -29.367999999999999 },
            };
            double[,] rhs =
            {
                { +64.239000000000004, -91.394999999999996, +29.823000000000000, +29.548999999999999 },
                { -96.918999999999997, -66.201999999999998, +46.344000000000001, -09.815000000000000 },
            };

            double[,] expected =
            {
                { 14212.50642600000, -02251.54306200000, -01443.65970600000, +03476.57895000000 },
                { 11001.30268900000, -04826.07277700000, +00262.39168500000, +03216.29348300000 },
                { 03812.60023000000, +00569.45674600000, -00912.43302600000, +00732.72297800000 },
            };

            double[,] actual = ArrayMatrixUtils.Multiply(lhs, rhs);

            Assert.That(actual, Is.EqualTo(expected).Within(precision));
        }
示例#2
0
        private Matrix4x4 ComputeTransform(double[,] A, double[] b)
        {
            double[,] Aplus = ArrayMatrixUtils.MoorePenroseInverse(A);
            double[] xOpt = ArrayMatrixUtils.Multiply(Aplus, b);

            return(TransformationMatrixFromXOpt(xOpt));
        }
        public void Test_Multiply_Matrix_IncompatibleSize_Helper()
        {
            double[,] lhs =
            {
                { -26.303000000000001, +56.045000000000002 },
                { +25.123999999999999, -83.775000000000006 },
            };
            double[,] rhs =
            {
                { 85.876999999999995, -02.642000000000000 },
            };

            ArrayMatrixUtils.Multiply(lhs, rhs);
        }
        public void Test_Multiply_Vector_IncompatibleSize_Helper()
        {
            double[,] lhs =
            {
                { -1.064000000000000, +0.215000000000000 },
                { -3.873000000000000, +6.353000000000000 },
                { +0.170000000000000, +5.897000000000000 },
            };
            double[] rhs =
            {
                +2.886000000000000, -2.428000000000000, -13.827296000000000
            };

            ArrayMatrixUtils.Multiply(lhs, rhs);
        }
        public void Test_Multiply_Matrix_Vector()
        {
            double[,] lhs =
            {
                { -1.064000000000000, +0.215000000000000 },
                { -3.873000000000000, +6.353000000000000 },
                { +0.170000000000000, +5.897000000000000 },
            };
            double[] rhs =
            {
                +2.886000000000000, -2.428000000000000
            };

            double[] expected =
            {
                -03.592724000000000, -26.602561999999999, -13.827296000000000,
            };

            double[] actual = ArrayMatrixUtils.Multiply(lhs, rhs);

            Assert.That(actual, Is.EqualTo(expected).Within(precision));
        }
        public void Test_Multiply_Matrix_SquareMatrix()
        {
            double[,] lhs =
            {
                { -26.303000000000001, +56.045000000000002 },
                { +25.123999999999999, -83.775000000000006 },
            };
            double[,] rhs =
            {
                { 85.876999999999995, -02.642000000000000 },
                { 55.143000000000001, -12.827999999999999 },
            };

            double[,] expected =
            {
                { +0831.666704000000, -0649.452734000000 },
                { -2462.031077000001, +1008.288092000000 },
            };

            double[,] actual = ArrayMatrixUtils.Multiply(lhs, rhs);

            Assert.That(actual, Is.EqualTo(expected).Within(precision));
        }