/usr/include/eigen3/Eigen/src/Core/util/StaticAssert.h:32: error: static assertion failed: YOU_MIXED_MATRICES_OF_DIFFERENT_SIZES #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); 在用高斯牛顿做迭代优化时,H=JTJH=JTJ, 当f(x)是一维时,J通常用vector2d,vector3d,vector6d表示,此时J...
/usr/include/eigen3/Eigen/src/Core/util/StaticAssert.h:32: error: static assertion failed: YOU_MIXED_MATRICES_OF_DIFFERENT_SIZES #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); 在用高斯牛顿做迭代优化时,H=JTJH=JTJ, 当f(x)是一维时,J通常用vector2d,vector3d,vector6d表示,此时J...
error: static assertion failed: YOU_MIXED_MATRICES_OF_DIFFERENT_SIZES #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); 声明向量时候 Eigen::Vector3d A{1,2,3}是 3*1而不是1*3 B=pos*(A.inverse()); 改成 B=pos*(A); 才是正确的 编译通过!牛! ⑤Matrix3d矩阵的赋值 注意下面的...
解决方法:查询代码,查看在哪操作了数组边界之外数据,修改。 问题二:编译时出现error C2338: YOU_MIXED_MATRICES_OF_DIFFERENT_SIZES 原因:矩阵赋值时出现不匹配现象,比如一个3x2的矩阵向2x3矩阵赋值,就会报此类错误。 注意事项 Qt中,QDbug无法输出矩阵; 总结 以上为个人经验,希望能给大家一个参考,也希望大家多多...
4. 同理,在计算过程中也需要保证矩阵维数的正确性,否则会出现“YOU MIXED MATRICES OF DIFFERENT SIZES”错误。若发现 Eigen 出错,你可以直接寻找大写的部分,推测出了什么问题。 5. 可以阅读 Eigen 官网教程: Eigen: Chapterseigen.tuxfamily.org/dox-devel/modules.html ...
/usr/local/include/eigen3/Eigen/src/Core/util/StaticAssert.h:33:40: error: static assertion failed: YOU_MIXED_MATRICES_OF_DIFFERENT_SIZES #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG);</double,></float,></eigen::cwiseunaryop<eigen::internal::scalar_cast_op<float,> ...
/usr/local/include/eigen3/Eigen/src/Core/util/StaticAssert.h:33:40: error: static assertion failed: YOU_MIXED_MATRICES_OF_DIFFERENT_SIZES #defineEIGEN_STATIC_ASSERT(X,MSG)static_assert(X,#MSG); 矩阵转置 转置 matrix_33.transpose()
Eigen矩阵基本运算 1 矩阵基本运算简介 Eigen重载了+,-,*运算符。同时提供了⼀些⽅法如dot(),cross()等。对于矩阵类的运算符重载只⽀持线性运算，⽐如matrix1*matrix2是矩阵相乘，当然必须要满⾜矩阵乘法规则。对于向量和标量的加法(vector+scalar)这⾥并不⽀持，关于⾮线性运算这⾥暂不介绍。2 ...
This line is not invalid if J_r become dynamic, because JTJ and JTr is not dynamic. Eigen asserts YOU_MIXED_MATRICES_OF_DIFFERENT_SIZES. OK, we may make JTJ and JTr as dynamic too, but it will break the specific purpose of this function. ...
cout <<"Here is the conjugate of a\n"<< a.conjugate() << endl; cout <<"Here is the matrix a^*\n"<< a.adjoint() << endl; 输出如下: Here is the matrixa(-0.211,0.68) (-0.605,0.823) (0.597,0.566) (0.536,-0.33) Here is the matrixa^T ...