本征乘法断言失败

Question

我有 2 个 MatrixXd 想要相乘。但是我收到运行时错误。

Assertion failed: lhs.cols() == rhs.rows() && "invalid matrix product" && "if you wanted a coeff-wise or a dot product use the respective explicit functions",
 file C:\Users\<myPathToProject>\packages\Eigen.3.3.3\build\native\include\Eigen\src\Core\Product.h, line 97

我已经检查了两个矩阵的大小，我应该可以将它们相乘，或者我的数学技能有问题。下面是我的两个MatrixXd:

的内容

矩阵A：

        1         1         1         1         1         1
0.0196078         0         1         1  0.184314  0.329412

矩阵 B:

 1
 1
-1
-1
-1
-1

这是要重现的代码。 W 和 YTrain 是 double*:

    double* W = (double*)malloc(sizeof(double) * 2);
    double* YTrain = (double*)malloc(sizeof(double) * 6);
    double* XTrain = (double*)malloc(sizeof(double) * 6);

    W[0] = -0.527407;
    W[1] = -0.0828247;

    XTrain[0] = 0.0196078;
    XTrain[1] = 0;
    XTrain[2] = 1;
    XTrain[3] = 1;
    XTrain[4] = 0.184314;
    XTrain[5] = 0.329412;

    YTrain[0] = 1;
    YTrain[1] = 1;
    YTrain[2] = -1;
    YTrain[3] = -1;
    YTrain[4] = -1;
    YTrain[5] = -1;

Eigen::MatrixXd mat_Y(6, 1);
for (int i = 0; i < 6; i++)
    mat_Y(i) = YTrain[i];

Eigen::MatrixXd mat_XTrain(2, 6);
int pos = 0;
for (int x = 0; x < 6; x++)
{
    for (int y = 0; y < 1; y++)
    {
        if (y == 0)
            mat_XTrain(y, x) = 1;
        else
         {
            mat_XTrain(y, x) = XTrain[pos];
            pos++;
        }
    }
}

Eigen::MatrixXd mult = mat_XTrain.transpose() * mat_XTrain;
auto pseudo_inv = mult.completeOrthogonalDecomposition().pseudoInverse();
Eigen::MatrixXd mult_trans = pseudo_inv * mat_XTrain.transpose();
auto final_res = mult_trans * mat_Y;

Answer 1

事实上，用 1x6 乘以 6x2 矩阵是不可能的。

在 Matthew M 的帮助下。我已经发布了我的算法很糟糕。我已经向 XTrain 添加了一行，但我不需要它。

回顾一下，XTrain 维度错误。

本征乘法断言失败

Eigen multiplication assertion failed

c++

eigen

c++17