View source for Progress toward constructing our own matrix classes

* Current tracking code uses TMatrixD, a generic matrix package in root that has substantial overhead 
** Kalman filter code is very matrix heavy
* Working on our own Matrix classes tailored for the Kalman filter:  1x2, 1x5, 2x2, 2x5, 5x5, 5x2, 5x1
** SIMD instructions used wherever possible
** Some operations have been implemented and tested for speed on ifarml6 after generating 10,000,000 "events".   In the table below:  a(2,2), A(5,5), B(5,5), C(1,5), D(5,1), E(2,5), F(5,2)  

<pre>
Operation      TMatrixD(s)         DMatrix(s)         T/D
----------------------------------------------------------
a^-1              1.493              0.090           16.59
A^-1              6.274              2.274            2.76
A+B               1.470              0.609            2.41
A*B               3.821              0.974            3.82
A^T               1.178              0.393            3.00
A^T*B*A           7.892              1.857            4.25
C*A*D             2.466              0.520            4.74
E*A*F             3.630              0.651            5.58
</pre>