User:Jarle Pahr/Optimization: Difference between revisions

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https://bitbucket.org/dalcinl/tao4py
https://bitbucket.org/dalcinl/tao4py
http://mdolab.engin.umich.edu/content/pyopt-python-based-object-oriented-framework-nonlinear-constrained-optimization-0


=Constrained optimization=
=Constrained optimization=

Revision as of 06:50, 12 January 2014

Notes on optimization theory:

Numerical recipes: http://www.nr.com/

See also http://openwetware.org/wiki/Optimality_In_Biology

Numerical optimization of industrial processes: http://support.dce.felk.cvut.cz/mediawiki/images/5/50/Bp_2013_caletkova_lenka.pdf

Concepts

Pareto front:


Linear programming:


http://www.aimms.com/aimms/download/manuals/aimms3om_linearprogrammingtricks.pdf


Quadratic programming:


Convex optimization:

http://systemsbiology.ucsd.edu/Classes/Convex

Algorithms

Software

https://simtk.org/home/lapack


http://www.gurobi.com/


GLPK

http://sourceforge.net/projects/minion/?source=directory


OpenOpt: http://openopt.org/Welcome

Python

http://docs.scipy.org/doc/scipy/reference/tutorial/optimize.html

http://scicomp.stackexchange.com/questions/83/is-there-a-high-quality-nonlinear-programming-solver-for-python

http://www.mcs.anl.gov/research/projects/tao/index.html

https://bitbucket.org/dalcinl/tao4py

http://mdolab.engin.umich.edu/content/pyopt-python-based-object-oriented-framework-nonlinear-constrained-optimization-0

Constrained optimization

http://www.mit.edu/~dimitrib/Constrained-Opt.pdf

http://www.mathworks.se/help/optim/constrained-optimization.html

http://en.wikipedia.org/wiki/Constrained_optimization

Least-squares minimization

http://www.math.ntnu.no/~hek/Optimering2010/LeastSquaresOptimization2010.pdf

http://en.wikipedia.org/wiki/Least_squares

http://math.stackexchange.com/questions/69613/linear-least-squares-with-inequality-constraints

http://www.ppsw.rug.nl/~kiers/leastsquaresbook.pdf

Least squares optimization: http://www.cns.nyu.edu/~eero/NOTES/leastSquares.pdf

From the above: "Least squares (LS) problems are optimization problems in which the objective (error) function may be expressed as a sum of squares."

Bibliography

Books:


Convex Optimization – Boyd and Vandenberghe: http://www.stanford.edu/~boyd/cvxbook/