Version 2.0 (2011)
min f(x,y)
x ε Rc
: gj(x,y) = 0 , j = 1,...me
x ε Zi gj(x,y) ≥ 0 , j = me+1,...,m
xl ≤ x ≤ xu , yl ≤
y ≤ yu
Features:
·
general
arbitrary
objective functions depending on optimization variables
continuous,
integer, or boolean variables
additional
nonlinear equality or inequality
constraints
large number
of standard test examples
modeling
language for nonlinear functions
·
numerical routines
SQP code
NLPQLP for continuou optimization
extended SQP
code MISQP for mixed-integer optimization
automatic
differentiation subject to continuous variables
extremely fast
·
user interface
convenient
and flexible modeling language
'find' and
'filter' commands
reports and
optimization history plots (Gnuplot)
·
limitations
200 variables
1,000
constraints
·
modeling language (PCOMP)
highly
flexible statements depending on optimization variables
tabulated
data, splines, linear and piecewise constant interpolation
indexed
variables and functions
(nearly) no
limitations for number of lines of code
·
implementation
numerical
routines in Fortran, executable outside of the GUI
GUI in VBA,
Microsoft Access, run-time version included
database with 384 examples
Windows XP or
later
... for more information see the documentation, see easy_opt.pdf
To download EASY-OPTExpress, click here.
For more questions about features, installation, numerical routines, please contact
Prof. Klaus Schittkowski | |
Department of Computer Science | phone: (+49)921 553278 |
University of Bayreuth | fax: (+49)921 553238 |
D-95440 Bayreuth, Germany | klaus.schittkowski@uni-bayreuth.de |
·
continuous test examples: the
Hock-Schittkowski collection, the
second collection
·
mixed-integer test examples: the
MINLP collection
·
documentation
·
many more publications