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Two users have found that their input files (Zapdos-Crane) runs for hours when using a solve_type = newton, but for only ~30 minutes using solve_type = pjfnk (preconditioned jacobian-free Newton-Krylo…
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### Desiderata features
+ Compressible, multi-fluid, multi-phase, Navier-Stokes equations:
+ Preconditioned equations to efficient handling incompressibile, compressible, cavitating and multi-ph…
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Trying to use the minimize function with methods
- trust-ncg
- dogleg
- newton-exact
- trust-exact
- trust-krylov
But succeeds with the other methods. Presumably, the other methods aren…
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Reduce potential confusion by naming variables the same in history and restart.
How to minimize backwards compatibility issues?
This issue was raised while @klindsay28 and I were working on the…
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GMRES can use an initial condition. In the coming defaults, the `x` part is zero'd out in the start because the Rosenbrock methods don't necessarily have a good guess for the `k` vectors (or do they? …
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We've successfully tested the basic capability in issue #14, but it still may be difficult to obtain a solution for the exact parameters from danaila2014newton.
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`mfem::GMRESSolver` and `mfem::CGSolver` measure the residual norm after applying the preconditioner, while `mfem::NewtonSolver` (which has no notion of a preconditioner) measure the residual norm dir…
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I want to try-catch a Newton-Krylov solver and adjust some parameters in case no convergence is achieved. The Krylov solver (e.g. CG, FGMRES) uses geometric multigrid with Chebyshev smoothing as a pr…
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import numpy as np
from scipy.optimize import minimize
def rosen(x):
"""The Rosenbrock function"""
return sum(100.0*(x[1:]-x[:-1]**2.0)**2.0 + (1-x[:-1])**2.0)
def rosen_der(x):
…
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**Is your feature request related to a problem? Please describe.**
"The knowledge of a steady base-flow solution of the governing Navier-Stokes equations is fundamental to instability studies and flo…