API for robust solution?

answered 2021-08-18 12:33:43 -0600

jconto
2701 ●10 ●30 ●41

PTI released the module "robosolve.pyc" to implement activity "rsol" on lower versions.

In v.34:

savfile = r"C:\Program Files (x86)\PTI\PSSE34\EXAMPLE\savnw.sav"
psspy.case(savfile)
import robosolve
#solver = RobustSolver(case="mydir/mycase.raw")
#result, steps, settings = solver.solve()
#result, steps, settings = robosolve.rsol(case="mydir/mycase.raw")
result, steps, settings = robosolve.rsol()   #use case in memory

In v.33: To run same code for v.34, copy first the module robosolve.pyc from its [v. 34 or v.35] psspy27 folder to the PSSe bin folder in v.33.

copy  "C:\Program Files (x86)\PTI\PSSE34\PSSPY27\robosolve.pyc"
to    "C:\Program Files (x86)\PTI\PSSE33\PSSBIN"

answered 2021-08-17 02:08:55 -0600

Riya kumari
1 ●1 ●2 ●1

the data matrix large scale linear systems generally have correlated columns and high condition number finding unknows from measurements by using a least-square technique result in noise enhancement. for this reason, robust solution techniques are needed .in this article, we investigate how to regularize the momentum-alterative hessian sketch solver for solving ill-posed linear systems including large-scale data matrices. instead of using a single regularization parameter for all iterations, the proposed solver automatically finds a separate parameter in each iteration without requiring any other parameter tuning and then adjusts momentum parameters accordingly

answered 2021-05-05 10:03:02 -0600

perolofl
3332 ●1 ●8 ●19

Use API RSOL in PSSE rev 35.