[SciPy-user] optimize.fsolve starting guess
Askey Scott A Capt AFIT/ENY
Scott.Askey@afit....
Wed Jan 14 11:34:14 CST 2009
-----Original Message-----
From: Askey Scott A Capt AFIT/ENY
Sent: Wednesday, January 14, 2009 12:25 PM
To: 'scipy-user@scipy.org'
Subject: optimize.fsolve starting guess
-----Original Message-----
From: Askey Scott A Capt AFIT/ENY
Sent: Wednesday, January 14, 2009 9:46 AM
To: scipy-user@scipy.org
Subject: optimize.fsolve starting guess
I am using fsolve to solve a systems of nonlinear equations to solve a
dynamics problem that is marching forward in time.
X(i+1)=fsolve(F,x(i),args=(x(i))
F is a vector. My problem is Fsolve fail to converge as written above.
F(x[i],x[i]) contains many zeros.
It does converge if
X(i+1)=fsolve(F,.99999*x(i),args=(x(i)) is used.
Is there a clever way to avoid the .99999 peturb the intial guess in a
computationally efficient manner?
Array(x, dtype= float32), x.round(6) ?
Thanks
Scott
More information about the SciPy-user
mailing list