User:Jarle Pahr/SciPy: Difference between revisions
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==scipy.optimize.fmin_tnc== | ==scipy.optimize.fmin_tnc== | ||
Truncated Newton-CG method. Allows variable bounds. | Truncated Newton-CG method. Allows variable bounds. Does not support equality/inequality constraints. |
Revision as of 04:06, 14 January 2014
Notes on the SciPy Python library:
http://scipy-lectures.github.io/
http://oneau.wordpress.com/2011/02/28/simple-statistics-with-scipy/
Testing:
import scipy as sci sci.test()
Installation files
http://www.lfd.uci.edu/~gohlke/pythonlibs/#scipy-stack
Linalg
http://docs.scipy.org/doc/scipy/reference/linalg.html
Optimization
- Minimization of multi-variate scalar function.
fmin: http://docs.scipy.org/doc/scipy/reference/optimize.html
http://docs.scipy.org/doc/scipy/reference/generated/scipy.optimize.fmin.html#scipy.optimize.fmin
- Uses the Nelder-Mead simplex method: http://en.wikipedia.org/wiki/Nelder%E2%80%93Mead_method
- Equivalent to MATLABs fminsearch: http://stackoverflow.com/questions/19070943/numpy-scipy-analog-of-matlabs-fminsearch
Sequential Least Squares Programming (SLSQP):
- Nonlinear optimization method for problems where the objective function and constraints are twice differentiable.
- Allows variable bounds and equality/inequality constraints.
- fmin_slsqp: http://docs.scipy.org/doc/scipy/reference/generated/scipy.optimize.fmin_slsqp.html
- Seems more similar to MATLABs fmincon than optimize.fmin
- Tutorial: docs.scipy.org/doc/scipy/reference/tutorial/optimize.html#tutorial-sqlsp
- See also http://www.pyopt.org/reference/optimizers.slsqp.html
http://stackoverflow.com/questions/49926/open-source-alternative-to-matlabs-fmincon-function
For comparison see http://www.mathworks.se/help/optim/ug/fmincon.html
See also: http://scipy-lectures.github.io/advanced/mathematical_optimization/
Constrained minimization of multivariate scalar functions (minimize): http://docs.scipy.org/doc/scipy/reference/tutorial/optimize.html#tutorial-sqlsp
More on use of fmin_slsp:
scipy.optimize.fmin_ncg
Unconstrained optimization by Newton-Conjugate Gradient(NCG) method.
scipy.optimize.fmin_tnc
Truncated Newton-CG method. Allows variable bounds. Does not support equality/inequality constraints.