顶一下！！！

收藏。。

大师，膜拜

这么多书什么时候能看完…

必须顶啊。。。呵呵

跪了。。。

真强啊！！！

Matrix Algebra from a Statistician's Perspective
Preface.
- Matrices.
- Submatrices and partitioned matricies.
- Linear dependence and independence.
- Linear spaces: row and column spaces.
- Trace of a (square) matrix.
- Geometrical considerations.
- Linear systems: consistency and compatability.
- Inverse matrices.
- Generalized inverses.
- Indepotent matrices.
- Linear systems: solutions.
- Projections and projection matrices.
- Determinants.
- Linear, bilinear, and quadratic forms.
- Matrix differentiation.
- Kronecker products and the vec and vech operators.
- Intersections and sums of subspaces.
- Sums (and differences) of matrices.
- Minimzation of a second-degree polynomial (in n variables) subject to linear constraints.
- The Moore-Penrose inverse.
- Eigenvalues and Eigenvectors.
- Linear transformations.
- References.
- Index.

不错不错，哈哈

好像都很难懂的样子

大师之作
Thank you   

牛逼！

顶，谢谢分享

大师之作
Thank you   

厉害，跪拜啊

thank y

谢谢楼主的总结。。。。。

好强大的样子。

经典与前沿都有了，很全面

有价值

是要是想要在大数据有所作为的基本都得好好看一遍

谢谢

谢谢！高手！

先留着

谢谢张老师，写的很用心的

先行mark

怎么下载啊

很有用，支持一下