Hi Sujit, and All,
Currently I lost in large difficulty, I am eager to get some help from you.
There is some big linear system of equations as:Ax = b, A with N number of row
and N number of column, N is very large, b = [0, 0, ..., 0, 1]TThen, I will
sovle it to get x = [x1, x2, ..., xn]T.
The simple solution would be to get inverse(A), and then x = (inverse(A)) * b
.A would be some JavaRDD<Interable<double>> , however, for RDD/matrix there is
add/multply/transpose APIs, no inverse API for it!
Then, how would it conveniently get inverse(A), or just solve the linear system
of equations by some other way...In Spark MLlib, there was linear regression,
the training process might be to solve the coefficients to get some specific
linear model, just is,
Ax = y, just train by (x, y) to get A , this might be used to solve the linear
system of equations. It is like that? I could not decide.
I must show my deep appreciation torwards your all help.
Thank you very much!Zhiliang
