[sage-support] OpenOpt Suite v 0.5627

[dmitrey]

hello, 
OpenOpt Suite v 0.5627 (OpenOpt, FuncDesigner, SpaceFuncs, DerApproximator) 
is available for downloading from the link 
https://app.box.com/s/yubipvy5q91x8w3eoglhi0tn5d9i854a 

 
(unfortunately, I still cannot update it in PYPI entries because of 
problems with incorrect password) 

It fixes compatibility issues with latest Python / NumPy / matplotlib 
versions and has some improvements. 

Unfortunately, I had no possibilities to perform essential changes since 
last release in 2015 due to lack of finance support, however I still intend 
to continue its development. 

Regards, D. 

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[sage-support] [ANN] OpenOpt Suite release 0.53: Stochastic programming addon now is BSD-licensed

[dmitrey]

 
  
hi all,
I'm glad to inform you about new OpenOpt Suite release 0.53:

Stochastic programming addon http://openopt.org/StochasticProgrammingnow 
is available for free (license: BSD)
Some minor changes

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Regards, D.
http://openopt.org/Dmitrey

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[sage-support] [ANN] OpenOpt suite v 0.52

[dmitrey]

Hi all,

I'm glad to inform you about new OpenOpt Suite release 0.52 (2013-Dec-15):

Minor interalg http://openopt.org/interalg speedup
oofun expression
MATLAB solvers fmincon http://openopt.org/fmincon and fsolve have 
been connected
Several MATLAB ODE http://openopt.org/ODE solvers have been connected
New ODE solvers, parameters abstol and reltol
New GLP http://openopt.org/GLP solver: direct
Some minor bugfixes and improvements 

Regards, Dmitrey.

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[sage-support] [ANN] MATLAB fmincon now available in Python

[dmitrey]

Hi all,
current state of Python - MATLAB connection soft doesn't allow passing of 
function handlers, however, a walkaround has been implemented via some 
tricks, so now MATLAB function fmincon is available in Python-written 
OpenOpt and FuncDesigner frameworks (with possibility of automatic 
differentiation,  
examplehttp://trac.openopt.org/openopt/browser/PythonPackages/FuncDesigner/FuncDesigner/tests/fmincon1000.py).

Future plans  include MATLAB fsolve, ode23, ode45 (unlike scipy fsolve and 
ode they can handle sparse matrices), fgoalattain, maybe global 
optimization toolbox solvers.

I intend to post the message to several forums, so to keep discussion in a 
single place use OpenOpt forum thread 
http://forum.openopt.org/viewtopic.php?id=769

Regards, D.

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[sage-support] [ANN] OpenOpt suite v 0.51

[dmitrey]

Hi all,
new OpenOpt suite v 0.51 has been released:

   - Some improvements for  FuncDesigner http://openopt.org/FuncDesigner  
   automatic differentiation and QP http://openopt.org/QP 
   - FuncDesigner now can model sparse (MI)(QC)QP 
   - Octave QP http://openopt.org/QP solver has been connected 
   - MATLAB http://openopt.org/MATLAB solvers linprog 
(LPhttp://openopt.org/LP), 
   quadprog (QP http://openopt.org/QP), lsqlin 
(LLSPhttp://openopt.org/LLSP), 
   bintprog (MILP http://openopt.org/MILP) 
   - New NLP http://openopt.org/NLP solver: knitrohttp://openopt.org/knitro 
   - Some elements of 2nd order interval analysis, mostly for interalg 
   - Some interalg http://openopt.org/interalg improvements 
   - interalg http://openopt.org/interalg can directly handle (MI)LP and 
   (possibly nonconvex) (MI)(QC)QP 
   - New classes: knapsack problem (KSP http://openopt.org/KSP), bin 
   packing problem (BPP http://openopt.org/BPP), dominating set problem (
   DSP http://openopt.org/DSP) 
   - FuncDesigner can model SOCP http://openopt.org/SOCP 
   - SpaceFuncs http://openopt.org/SpaceFuncs  has been adjusted for 
   recent versions of Python and NumPy http://openopt.org/NumPy

visit http://openopt.org for more details.
Regards, D.

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[sage-support] new OpenOpt Suite release 0.50

[dmitrey]

 

Hi all,

I'm glad to inform you about new OpenOpt Suite release 0.50 (2013-June-15):

* interalg http://openopt.org/interalg (solver with specifiable 
accuracy) now works many times (sometimes orders) faster on (possibly 
multidimensional) integration problems (IP http://openopt.org) and on 
some optimization problems
* Add modeling dense (MI)(QC)QP http://openopt.org/QP in FuncDesigner 
(alpha-version, rendering may work slowly yet)
* Bugfix for cplex http://openopt.org/cplex wrapper
* Some improvements for FuncDesigner interval analysis (and thus 
interalg)
* Add FuncDesigner interval analysis for *tan* in range(-pi/2,pi/2)
* Some other bugfixes and improvements
* (Proprietary) FuncDesigner stochastic 
addonhttp://openopt.org/StochasticProgrammingnow is available as standalone 
*pyc*-file, became available for Python3 as well 

Regards, Dmitrey.

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[sage-support] OpenOpt Suite release 0.45

[dmitrey]

 

Hi all,

I'm glad to inform you about new OpenOpt Suite release 0.45 (2013-March-15):
  * Essential improvements for 
FuncDesignerhttp://openopt.org/FuncDesignerinterval analysis (thus affect 
interalg http://openopt.org/interalg)
  * Temporary walkaround for a serious bug in FuncDesigner automatic 
differentiation kernel due to a bug in some versions of Python or NumPy, 
may affect optimization problems, including (MI)LP, (MI)NLP, TSP etc
  * Some other minor bugfixes and improvements 

---

Regards, D.
http://openopt.org/Dmitrey

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[sage-support] [ANN] OpenOpt Suite release 0.43

[dmitrey]

Hi all,

I'm glad to inform you about new OpenOpt release 0.43 (2012-Dec-15):

* interalg http://openopt.org/interalg now can solve SNLE in 2nd mode 
(parameter dataHandling = raw, before - only sorted)
* Many other improvements for interalg
* Some improvements for FuncDesigner kernel
* FuncDesigner ODE http://openopt.org/ODE now has 3 arguments instead 
of 4 (backward incompatibility!), e.g. {t: np.linspace(0,1,100)} or mere 
np.linspace(0,1,100) if your ODE right side is time-independend
* FuncDesigner stochastic 
addonhttp://openopt.org/StochasticProgrammingnow can handle some problems 
with gradient-based 
NLP http://openopt.org/NLP / NSP http://openopt.org/NSP solvers
* Many minor improvements and some bugfixes 

Visit  openopt.org  for more details.

Regards, D.

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[sage-support] [ANN] OpenOpt Suite release 0.42

[dmitrey]

  

Hi all,

I'm glad to inform you about new OpenOpt Suite release 0.42 (2012-Sept-15). 
Main changes:

*Some improvements for solver interalg http://openopt.org/interalg, 
including handling of categorical variables
*Some parameters for solver gsubg http://openopt.org/gsubg
*Speedup objective function for de and pswarm on FuncDesigner models
*New global (GLP http://openopt.org/GLP) solver: asa (adaptive 
simulated annealing)
*Some new classes for network problems: TSP 
http://openopt.org/TSP(traveling salesman problem), 
STAB http://openopt.org/STAB (maximum graph stable set)], 
MCPhttp://openopt.org/MCP(maximum clique problem)
*Improvements for FD XOR (and now it can handle many inputs)
*Solver de has parameter seed, also, now it works with 
PyPyhttp://openopt.org/PyPy
*Function sign now is available in FuncDesigner
*FuncDesigner interval analysis (and thus solver interalg) now can 
handle non-monotone splines of 1st order
*FuncDesigner now can handle parameter fixedVars as Python dict
*Now scipy InterpolatedUnivariateSpline is used in FuncDesigner 
interpolator() instead of UnivariateSpline. This creates backward 
incompatibility - you cannot pass smoothing parameter (s) to interpolator 
no longer.
*SpaceFuncs http://openopt.org/SpaceFuncs: add Point weight, Disk, 
Ball and method contains(), bugfix for importing Sphere, some new examples
*Some improvements (essential speedup, new parameter *interpolate* for *
P()*) for our (currently commercial) FuncDesigner Stochastic 
Programminghttp://openopt.org/StochasticProgrammingaddon
*Some bugfixes

In our website ( http://openopt.org ) you could vote for most required 
OpenOpt Suite development direction(s) (poll has been renewed, previous 
results are herehttp://www.easypolls.net/poll.html?p=4fca54a3e4b05091b02c35ad
).

Regards, D. 
 

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[sage-support] [ANN] New free tool for TSP solving

[dmitrey]

 

Hi all, 

New free tool for TSP solving is available (for downloading as well) - 
OpenOpt TSP class: TSP http://openopt.org/TSP (traveling salesman 
problem). 

It is written in Python, uses NetworkX http://networkx.lanl.gov/ graphs 
on input (another BSD-licensed Python library, de-facto standard graph lib 
for Python language programmers), can connect to MILP solvers like glpk, 
cplex, lpsolve, has a couple of other solvers - sa (simulated annealing, 
Python code by John Montgomery) and interalg
http://openopt.org/interalg

http://openopt.org/interalg

If someone is interested, I could implement something from (or beyound) its 
future plans till next OO stable release 0.41, that will be 2 weeks later 
(Sept-15).

Regards, D.

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[sage-support] Re: [ANN] New free tool for TSP solving

[dmitrey]

On Monday, 3 September 2012 06:57:41 UTC+3, Nathann Cohen wrote:

 Hell !!

 New free tool for TSP solving is available (for downloading as well) - 
 OpenOpt TSP class: TSP http://openopt.org/TSP (traveling salesman 
 problem). 


 Oh ! Nice ! Is it possible to read its implementation  from a web page ? 
 (sorryyy, I do not have access to a real computer right now, and I will not 
 until several weeks ^^;)

 
Hi Nathann,
I have updated OO TSP page with link to the OpenOpt TSP class file:
http://trac.openopt.org/openopt/browser/PythonPackages/OpenOpt/openopt/kernel/TSP.py
 

however it requires some code cleanup, although, also, some OpenOpt kernel 
hacks beyond standard kernel-solver API are temporary used
Regards, D.


 In Sage we just hand the problem to LP solvers, but even if you do the 
 same I would love to see how you formulate it :-) 

 Nathann


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[sage-support] New Python tool for searching maximum stable set of a graph

[dmitrey]

Hi all,

In OpenOpt (BSD-licensed software, http://openopt.org ) we have implemented 
new class - STAB - searching for maximum stable set of a graph.

networkx http://networkx.lanl.gov/ graphs are used as input arguments. 
Unlike networkx maximum_independent_set() we mostly focus on searching for 
exact solution (this is NP-Hard problem).

http://openopt.org/interalg

interalg http://openopt.org/interalg or OpenOpt 
MILPhttp://openopt.org/MILPsolvers are used, some GUI features and stop 
criterion (e.g. maxTime, 
maxCPUTime, fEnough) can be used. Optional arguments are includedNodes and 
excludedNodes - nodes that have to be present/absent in solution.

See http://openopt.org/STAB for details.

Future plans (probably very long-term although) include TSP and some other 
graph problems with similar API and possibilities.

-

Regards, Dmitrey. 

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[sage-support] OpenOpt Suite release 0.39

[dmitrey]

Hi all,
I'm glad to inform you about new OpenOpt release 0.39 (quarterly since 
2007).

OpenOpt is free, even for commercial purposes, cross-platform software for 
mahematical modeling and (mainstream) optimization. Our website have 
reached 259 visitors daily, that is same to tomopt.com and ~ 1/3 of 
gams.com ( 
http://forum.openopt.org/viewtopic.php?id=570detailshttp://forum.openopt.org/viewtopic.php?id=570
).

In the new release:
 interalg http://openopt.org/interalg (medium-scaled solver with 
specifiable accuracy abs(f-f*) = fTol): add categorical variables and 
general logical constraints, many other improvements
Some improvements for automatic differentiation
DerApproximator and some OpenOpt/FuncDesigner functionality now works with PyPy 
http://openopt.org/PyPy (Python with dinamic compilation, some problems 
are solved several times faster now)
New solver lsmr for dense/sparse LLSP http://openopt.org/LLSP (linear 
least squares)
Some bugfixes and some other changes

In our website (http://openopt.org) you could vote for most required 
OpenOpt Suite development direction(s).

Regards, D.

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[sage-support] [ANN] Optimization with categorical variables, disjunctive (and other logical) constraints

[dmitrey]

hi all,
free solver interalg http://openopt.org/interalg for global nonlinear 
optimization with specifiable accuracy now can handle categorical 
variables, disjunctive (and other logical) constraints, thus making it 
available to solve GDP, possibly in multiobjective form.
There are ~ 2 months till next OpenOpt release, but I guess someone may 
find it useful for his purposes right now.
See  here http://forum.openopt.org/viewtopic.php?id=564  for more details.
Regards, D.

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[sage-support] [ANN] new release 0.38 of OpenOpt, FuncDesigner, SpaceFuncs, DerApproximator

[dmitrey]

Hi all,
I'm glad to inform you about new release 0.38 (2012-March-15):

OpenOpt:

interalg can handle discrete variables
interalg can handle multiobjective problems (MOP)
interalg can handle problems with parameters fixedVars/freeVars
Many interalg improvements and some bugfixes
Add another EIG solver: numpy.linalg.eig
New LLSP solver pymls with box bounds handling

FuncDesigner:

Some improvements for sum()
Add funcs tanh, arctanh, arcsinh, arccosh
Can solve EIG built from derivatives of several functions,
obtained by automatic differentiation by FuncDesigner

SpaceFuncs:

Add method point.symmetry(Point|Line|Plane)
Add method LineSegment.middle
Add method Point.rotate(Center, angle)

DerApproximator:

Minor changes

See http://openopt.org for more details

Regards, D.

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[sage-support] [ANN] new solver for multi-objective optimization problems

[dmitrey]

hi,
I'm glad to inform you about new Python solver for multiobjective
optimization (MOP:

Some changes committed to solver interalg (http://openopt.org/
interalg) made it capable of handling global nonlinear constrained
multiobjective problem (MOP), see the page http://openopt.org/MOP for
more details.

Using interalg you can be 100% sure your result covers whole Pareto
front according to the required tolerances on objective functions.

Available features include real-time or final graphical output,
possibility of involving parallel calculations, handling both
continuous and discrete variables, export result to xls files.

Regards, D.

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[sage-support] [ANN] global constrained optimization solver with discrete variables and specifiable accuracy

[dmitrey]

hi all,
I've done support of discrete variables for interalg (http://
openopt.org/interalg) - free (license: BSD) global optimization solver
with specifiable accuracy, you can take a look at an example here:
http://trac.openopt.org/openopt/browser/PythonPackages/FuncDesigner/FuncDesigner/examples/exactGlobalMINLP.py

It is written in Python + NumPy, and I hope it's speed will be
essentially increased when PyPy (Python with dynamic compilation)
support for NumPy will be done (some parts of code are not vectorized
and still use CPython cycles). Also, NumPy funcs like vstack() or
append() produce only copy of data, and it also slows the solver very
much (for mature problems).

Maybe some bugs still present somewhere - interalg code already became
very long, but since it already works, you could be interested in
trying to use it right now.

Regards, D.

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[sage-support] Ann: OpenOpt and FuncDesigner 0.37

[dmitrey]

Hi all,
I'm glad to inform you about new release 0.37 (2011-Dec-15):

OpenOpt (numerical optimization):

IPOPT initialization time gap (time till first iteration) for
FuncDesigner models has been decreased
Some improvements and bugfixes for interalg, especially for
search all SNLE solutions mode (Systems of Non Linear Equations)
Eigenvalue problems (EIG) (in both OpenOpt and FuncDesigner)
Equality constraints for GLP (global) solver de
Some changes for goldenSection ftol stop criterion
GUI func manage - now button Enough works in Python3, but Run/
Pause not yet (probably something with threading and it will be fixed
in Python instead)

FuncDesigner:
Major sparse Automatic differentiation improvements for badly-
vectorized or unvectorized problems with lots of constraints (except
of box bounds); some problems now work many times or orders faster (of
course not faster than vectorized problems with insufficient number of
variable arrays). It is recommended to retest your large-scale
problems with useSparse = 'auto' | True| False

Two new methods for splines to check their quality: plot and
residual
Solving ODE dy/dt = f(t) with specifiable accuracy by interalg
Speedup for solving 1-dimensional IP by  interalg

SpaceFuncs and DerApproximator:

Some code cleanup

You may trace OpenOpt development information in our recently created
entries in Twitter and Facebook, see http://openopt.org for details.

See also: FuturePlans, this release announcement in OpenOpt forum

Regards, D.

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[sage-support] [ANN] New free multifactor analysis tool for experiment planning

[dmitrey]

Hi all,

you may be interested in new free multifactor analysis tool for
experiment planning (in physics, chemistry, biology etc). It is based
on numerical optimization solver BOBYQA, released in 2009 by Michael
J.D. Powell, and has easy and convenient GUI frontend, written in
Python + tkinter. Maybe other (alternative) engines will be available
in future.

See its webpage for details:
http://openopt.org/MultiFactorAnalysis

Regards, Dmitrey.

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[sage-support] [ANN] ODE dy/dt = f(t) solver with guaranteed specifiable accuracy

[dmitrey]

hi all,

now free solver interalg (http://openopt.org/interalg , based on
interval analysis) can solve ODE dy/dt = f(t) with guaranteed
specifiable accuracy.

For more details see http://openopt.org/ODE , there is an example of
comparison with scipy.integrate.odeint, where latter fails to solve a
problem.

Future plans include solving of some general ODE systems dy/dt = f(y,
t).

Regards, D.

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[sage-support] [ANN} OpenOpt, FuncDesigner, DerApproximator, SpaceFuncs release 0.36

[dmitrey]

Hi all,
new release of our free soft (OpenOpt, FuncDesigner, DerApproximator,
SpaceFuncs) v. 0.36 is out:

OpenOpt:

Now solver interalg can handle all types of constraints and
integration problems
Some minor improvements and code cleanup

FuncDesigner:

Interval analysis now can involve min, max and 1-d monotone
splines R - R of 1st and 3rd order
Some bugfixes and improvements

SpaceFuncs:

Some minor changes

DerApproximator:

Some improvements for obtaining derivatives in points from R^n
where left or right derivative for a variable is absent, especially
for stencil  1

See http://openopt.org for more details.

Regards, D.

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[sage-support] [ANN] Numerical integration with guaranteed precision by interalg

[dmitrey]

Hi all,
some ideas implemented in the solver interalg (INTERval ALGorithm)
that already turn out to be more effective than its competitors in
numerical optimization appears to be extremely effective in numerical
integration with guaranteed precision.
Here are some examples where interalg works perfectly while
scipy.integrate solvers fail to solve the problems and lie about
obtained residual. See http://openopt.org/IP for more details.
Regards, D.

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[sage-support] [ANN] OpenOpt suite 0.34

[dmitrey]

Hi all,
I'm glad to inform you about new quarterly release 0.34 of the OOSuite
package software (OpenOpt, FuncDesigner, SpaceFuncs,
DerApproximator) .

Main changes:
* Python 3 compatibility
* Lots of improvements and speedup for interval calculations
* Now interalg can obtain all solutions of nonlinear equation
(example) or systems of them (example) in the involved box lb_i = x_i
= ub_i (bounds can be very large), possibly constrained (e.g. sin(x)
+ cos(y+x)  0.5).
* Many other improvements and speedup for interalg.

See http://forum.openopt.org/viewtopic.php?id=425 for more details.

Regards, D.

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[sage-support] how to prevent sage server from hanging up?

[dmitrey]

hi all,
our sage server has very limited hardware, and last time lots of
people use it, making it very often to hang up, so even ssh doesn't
work (in-place reboot is required).
Which is the best way to prevent it? (I mean any parameters in sage
configuration, or mb Linux configuration)?

Thank you in advance, D.

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[sage-support] [ANN] Guaranteed solution of nonlinear equation(s)

[dmitrey]

Hi all,
I have made my free Python-written solver interalg (http://openopt.org/
interalg) be capable of solving nonlinear equations and systems of
them. Unlike scipy optimize fsolve it doesn't matter which functions
are involved - convex, nonconvex, multiextremum etc. Even some
discontinuous funcs can be handled. If no solution exists, interalg
determines it rather quickly.

For more info see http://forum.openopt.org/viewtopic.php?id=423

Regards, D.

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[sage-support] [ANN] OpenOpt Suite release 0.33

[dmitrey]

Hi all, I'm glad to inform you about new release 0.33 of our
completely free (license: BSD) cross-platform software:

OpenOpt:

* cplex has been connected
* New global solver interalg with guarantied precision, competitor
to LGO, BARON, MATLAB's intsolver and Direct (also can work in inexact
mode)
* New solver amsg2p for unconstrained medium-scaled NLP and NSP

FuncDesigner:

* Essential speedup for automatic differentiation when vector-
variables are involved, for both dense and sparse cases
* Solving MINLP became available
* Add uncertainty analysis
* Add interval analysis
* Now you can solve systems of equations with automatic
determination is the system linear or nonlinear (subjected to given
set of free or fixed variables)
* FD Funcs min and max can work on lists of oofuns
* Bugfix for sparse SLE (system of linear equations), that slowed
down computation time and demanded more memory
* New oofuns angle, cross
* Using OpenOpt result(oovars) is available, also, start points
with oovars() now can be assigned easier

SpaceFuncs (2D, 3D, N-dimensional geometric package with abilities for
parametrized calculations, solving systems of geometric equations and
numerical optimization with automatic differentiation):

* Some bugfixes

DerApproximator:

* Adjusted with some changes in FuncDesigner

For more details visit our site http://openopt.org.

Regards,
Dmitrey.

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[sage-support] [ANN] New package: SpaceFuncs (2D, 3D, ND geometric modeling, optimization, solving)

[dmitrey]

Hi all,
I'm glad to inform you about new, 4th OpenOpt Suite module:

SpaceFuncs - a tool for 2D, 3D, N-dimensional geometric modeling with
possibilities of parametrized calculations, numerical optimization and
solving systems of geometrical equations.

The module is written in Python + NumPy, requires FuncDesigner (and
OpenOpt, DerApproximator for some operations). It has completely free
license: BSD.

For details see its home page
http://openopt.org/SpaceFuncs
and documentation
http://openopt.org/SpaceFuncsDoc

Also, you can try it online via our Sage-server
http://sage.openopt.org/welcome

Regards,
Dmitrey.

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[sage-support] ANN: OpenOpt and FuncDesigner release 0.32

[dmitrey]

Hi all,
I'm glad to inform you about new quarterly OpenOpt/FuncDesigner
release (0.32):

OpenOpt:
* New class: LCP (and related solver)
* New QP solver: qlcp
* New NLP solver: sqlcp
* New large-scale NSP (nonsmooth) solver gsubg. Currently it still
requires lots of improvements (especially for constraints - their
handling is very premature yet and often fails), but since the solver
sometimes already works better than ipopt, algencan and other
competitors it was tried with, I decided to include the one into the
release.
* Now SOCP can handle Ax = b constraints (and bugfix for handling lb
= x = ub has been committed)
* Some other fixes and improvements

FuncDesigner:
* Add new function removeAttachedConstraints
* Add new oofuns min and max (their capabilities are quite restricted
yet)
* Systems of nonlinear equations: possibility to assign personal
tolerance for an equation
* Some fixes and improvements

For more details see our forum entry
http://forum.openopt.org/viewtopic.php?id=325

Regards, D.

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[sage-support] ANN: OpenOpt 0.31, FuncDesigner 0.21, DerApproximator 0.21

[dmitrey]

Hi all,

I'm glad to inform you about new releases of our completely free (BSD
license) Python-written software:
* OpenOpt 0.31 (numerical optimization)
* FuncDesigner 0.21 (automatic differentiation, modelling,
interpolation, integration)
* DerApproximator 0.21 (finite-differences derivatives approximation)

For release details see
http://forum.openopt.org/viewtopic.php?id=299
or visit our homepage
http://openopt.org

Regards,
Dmitrey

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[sage-support] Re: ANN: OpenOpt 0.31, FuncDesigner 0.21, DerApproximator 0.21

[dmitrey]

I had uploaded the updated version
http://pypi.python.org/pypi?%3Aaction=searchterm=openoptsubmit=search
I don't know what's the cause of ver. 0.28

On Sep 15, 4:06 pm, Flavio Coelho fccoe...@gmail.com wrote:
 Good news, but I just checked PyPI (via easy_install) and it is still
 pointing to version 0.28 of openopt. Please upload the latest
 versions.

 On Sep 15, 6:18 am, dmitrey dmitrey.kros...@scipy.org wrote:

  Hi all,

  I'm glad to inform you about new releases of our completely free (BSD
  license) Python-written software:
  * OpenOpt 0.31 (numerical optimization)
  * FuncDesigner 0.21 (automatic differentiation, modelling,
  interpolation, integration)
  * DerApproximator 0.21 (finite-differences derivatives approximation)

  For release details seehttp://forum.openopt.org/viewtopic.php?id=299
  or visit our homepagehttp://openopt.org

  Regards,
  Dmitrey

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[sage-support] [ANN] OpenOpt 0.29, FuncDesigner 0.19, DerApproximator 0.19

[dmitrey]

Hi all,
I'm glad to inform you about new release of the free software
(numerical optimization, linear/nonlinear/ODE systems, automatic
differentiation, etc), that is written in Python and released
quarterly since 2007.

For more details see
http://forum.openopt.org/viewtopic.php?id=252

Regards, Dmitrey.

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[sage-support] solving ODE by FuncDesigner with automatic differentiation

[dmitrey]

Hi all,
if anyone is interested, I have implemented possibility to model ODE
in FuncDesigner and solve it, involving automatic differentiation.

For examples and more details see
http://openopt.org/FuncDesignerDoc#Solving_ODE

Regards, D.

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[sage-support] Re: is it possible to build sage with mpi support?

[dmitrey]

/twisted/scripts/twistd.py, line 27,
in run
2010-05-11 09:37:38+0300 [-] app.run(runApp, ServerOptions)
2010-05-11 09:37:38+0300 [-]   File /home/nik/edu/sage/sage-4.3.3/
local/lib/python2.6/site-packages/twisted/application/app.py, line
694, in run
2010-05-11 09:37:38+0300 [-] runApp(config)
2010-05-11 09:37:38+0300 [-]   File /home/nik/edu/sage/sage-4.3.3/
local/lib/python2.6/site-packages/twisted/scripts/twistd.py, line 23,
in runApp
2010-05-11 09:37:38+0300 [-] _SomeApplicationRunner(config).run()
2010-05-11 09:37:38+0300 [-]   File /home/nik/edu/sage/sage-4.3.3/
local/lib/python2.6/site-packages/twisted/application/app.py, line
423, in run
2010-05-11 09:37:38+0300 [-] self.postApplication()
2010-05-11 09:37:38+0300 [-]   File /home/nik/edu/sage/sage-4.3.3/
local/lib/python2.6/site-packages/twisted/scripts/_twistd_unix.py,
line 206, in postApplication
2010-05-11 09:37:38+0300 [-]
self.startApplication(self.application)
2010-05-11 09:37:38+0300 [-]   File /home/nik/edu/sage/sage-4.3.3/
local/lib/python2.6/site-packages/twisted/scripts/_twistd_unix.py,
line 311, in startApplication
2010-05-11 09:37:38+0300 [-]
service.IService(application).privilegedStartService()
2010-05-11 09:37:38+0300 [-]   File /home/nik/edu/sage/sage-4.3.3/
local/lib/python2.6/site-packages/twisted/application/service.py,
line 273, in privilegedStartService
2010-05-11 09:37:38+0300 [-] service.privilegedStartService()
2010-05-11 09:37:38+0300 [-]   File /home/nik/edu/sage/sage-4.3.3/
local/lib/python2.6/site-packages/twisted/application/internet.py,
line 85, in privilegedStartService
2010-05-11 09:37:38+0300 [-] self._port = self._getPort()
2010-05-11 09:37:38+0300 [-]   File /home/nik/edu/sage/sage-4.3.3/
local/lib/python2.6/site-packages/twisted/application/internet.py,
line 116, in _getPort
2010-05-11 09:37:38+0300 [-] *self.args, **self.kwargs)
2010-05-11 09:37:38+0300 [-]   File /home/nik/edu/sage/sage-4.3.3/
local/lib/python2.6/site-packages/twisted/internet/posixbase.py, line
356, in listenTCP
2010-05-11 09:37:38+0300 [-] p.startListening()
2010-05-11 09:37:38+0300 [-]   File /home/nik/edu/sage/sage-4.3.3/
local/lib/python2.6/site-packages/twisted/internet/tcp.py, line 858,
in startListening
2010-05-11 09:37:38+0300 [-] raise CannotListenError,
(self.interface, self.port, le)
2010-05-11 09:37:38+0300 [-] twisted.internet.error.CannotListenError:
Couldn't listen on localhost:8000: [Errno 98] Address already in use.
/opt/google/chrome/chrome: /lib/libz.so.1: no version information
available (required by /opt/google/chrome/chrome)
Traceback (most recent call last):
  File /home/nik/edu/sage/sage-4.3.3/local/bin/sage-notebook, line
36, in module
notebook(port=8000)
  File /home/nik/edu/sage/sage-4.3.3/local/lib/python2.6/site-
packages/sagenb-0.7.5.1-py2.6.egg/sagenb/notebook/notebook_object.py,
line 219, in __call__
return self.notebook(*args, **kwds)
  File /home/nik/edu/sage/sage-4.3.3/local/lib/python2.6/site-
packages/sagenb-0.7.5.1-py2.6.egg/sagenb/notebook/run_notebook.py,
line 404, in notebook_twisted
return run(port, subnets)
  File /home/nik/edu/sage/sage-4.3.3/local/lib/python2.6/site-
packages/sagenb-0.7.5.1-py2.6.egg/sagenb/notebook/run_notebook.py,
line 389, in run
raise socket.error
socket.error
2010-05-11 09:37:39+0300 [HTTPChannel,2,127.0.0.1] /home/nik/edu/sage/
sage-4.3.3/local/lib/python2.6/site-packages/twisted/internet/defer.py:
267: exceptions.DeprecationWarning: Don't pass strings (like 'Bad
token') to failure.Failure (replacing with a DefaultException).
2010-05-11 09:37:39+0300 [HTTPChannel,2,127.0.0.1] Exception
rendering:
2010-05-11 09:37:39+0300 [HTTPChannel,2,127.0.0.1] Unhandled Error
Traceback (most recent call last):
Failure: twisted.python.failure.DefaultException: Bad token
^Cmpirun: killing job...

--
mpirun noticed that process rank 1 with PID 4474 on node mozart.lan
exited on signal 0 (Unknown signal 0).
--
mpirun: clean termination accomplished

2010-05-11 09:37:44+0300 [-] Quitting all running worksheets...
2010-05-11 09:37:44+0300 [-] Saving notebook...


On May 11, 6:44 am, William Stein wst...@gmail.com wrote:
 On Mon, May 10, 2010 at 1:47 PM, dmitrey dmitrey.kros...@scipy.org wrote:
  hi all,
  is it possible to build sage with mpi support (openmpi), for to
  perform things like
  mpirun -np 4 sage myfile.py?

  Thank you in advance, D.

 It's definitely possible.  And if you care enough you'll surely succeed.

 To get you started, you could try

    sage -i openmpi-1.1.4 mpi4py-1.1.0

 Maybe this will just work.

 William



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[sage-support] is it possible to build sage with mpi support?

[dmitrey]

hi all,
is it possible to build sage with mpi support (openmpi), for to
perform things like
mpirun -np 4 sage myfile.py?

Thank you in advance, D.

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[sage-support] SAGE server in Ukraine

[dmitrey]

Hi all,
FYI we have created SAGE server in Ukraine, our website (Ukrainian
language) is http://sage.openopt.org and SAGE Calculator works at
https://sage.openopt.org:8000. Also we have latest OOSuite installed
there (OpenOpt, FuncDesigner, DerApproximator) that is updated from
subversion repository each server reboot. However you should be aware
that our hardware is very primitive yet (Intel Xeon 5500 3.2GHz, HDD
30 Gb, 1 Gb RAM) and thus you shouldn't use it for mature problems.

Regards, Dmitrey.

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[sage-support] [ANN] OpenOpt 0.28, FuncDesigner 0.18, DerApproximator 0.18

[dmitrey]

Hi all,
I'm glad to inform you about new release of our free (BSD-licensed)
soft OpenOpt 0.28 (numerical optimization), FuncDesigner 0.18 (CAS
with automatic differentiation), DerApproximator 0.18 (finite-
differeces derivatives approximation).

More details here:
http://forum.openopt.org/viewtopic.php?id=222

Regards, D.

P.S. Please fix the obsolete link in http://www.sagemath.org/links.html
, it still points to http://scipy.org/scipy/scikits/wiki/OpenOpt while
we had moved to openopt.org.

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[sage-support] [ANN] OpenOpt 0.27 (optimization), FuncDesigner 0.17 (auto differentiation)

[dmitrey]

Hi all,
I'm glad to inform you about release of OpenOpt 0.27 (numerical
optimization framework), FuncDesigner 0.17 (CAS with automatic
differentiation, convenient modelling of linear/nonlinear functions,
can use convenient modelling for some OpenOpt optimization problems
and systems of linear/nonlinear equations, possibly sparse or
overdetermined), DerApproximator 0.17 (finite-differences derivatives
approximation, get or check user-supplied).

license: BSD

See also changelog for details: http://openopt.org/Changelog

Regards, D.

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[sage-support] ANN: FuncDesigner 0.15 - free Python-written framework with automatic differentiation

[dmitrey]

FuncDesigner is cross-platform (Windows, Linux, Mac OS etc) Python-
written framework with automatic differentiation (http://
en.wikipedia.org/wiki/Automatic_differentiation). License BSD allows
to use it in both open- and closed-code soft. It has been extracted
from OpenOpt framework as a stand-alone package, still you can easily
optimize models written in FuncDesigner by OpenOpt (some examples
here: http://openopt.org/NumericalOptimizationForFuncDesignerModels)

For more details see
http://openopt.org/FuncDesigner
http://forum.openopt.org/viewtopic.php?id=141

Regards, D.
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[sage-support] ANN: OpenOpt 0.25 - free Python-written numerical optimization framework with automatic differentiation

[dmitrey]

OpenOpt is cross-platform (Windows, Linux, Mac OS etc) Python-written
framework. If you have a model written in FuncDesigner (http://
openopt.org/FuncDesigner), you can get 1st derivatives via automatic
differentiation (http://en.wikipedia.org/wiki/
Automatic_differentiation) (some examples here:
http://openopt.org/NumericalOptimizationForFuncDesignerModels).

License BSD allows to use it in both open- and closed-code soft.

For more details see
http://openopt.org/
http://forum.openopt.org/viewtopic.php?id=141

Regards, D.

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[sage-support] ANN: FuncDesigner 0.15RC, DerApproximator 0.15RC, OpenOpt 0.25RC

[dmitrey]

Hi all,
I would like to inform you about new packages - FuncDesigner and
DerApproximator. They have been extracted from OpenOpt into standalone
Python modules.

FuncDesigner is a convenient tool for building functions and getting
their derivatives via Automatic differentiation (http://openopt.org/
AD), not to be confused with numerical differentiation via finite-
differences derivatives approximation and symbolic differentiation
provided by Maxima, SymPy etc.

See http://openopt.org/FuncDesigner for more details

DerApproximator is a small yet important package for getting/checking
derivatives (currently only 1st ones), extracted from OpenOpt
framework to be standalone Python module. It is required by
FuncDesigner (for obtaining derivatives of oofuns beyond standard set
without routines to yield them directly) and some OpenOpt solvers
(when there are some functions without user-supplied derivatives).

See http://openopt.org/DerApproximator for more details.

All my tests pass OK, but since there was an awful lots of changes, I
decided it's better to introduce RCs before stable releases, mb some
bugs are still lurking.

Regards, D.
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[sage-support] ANN: openopt 0.24 - free numerical optimization framework

[dmitrey]

Hi all,
OpenOpt 0.24, a free Python-written numerical optimization framework
with some own solvers and connections to tens of 3rd party ones, has
been released.

BSD license allows to use it in both free opensource and commercial
closed-code software.

Currently we have ~80 unique visitors daily, 15% of the ones visit
installation webpage, and some more install it via PYPI, Debian and
Alt Linux repository, mac.softpedia.com, darwinports.com,
pythonxy.com, mloss.org.

Our homepage:
http://openopt.org

Introduction to the framework:
http://openopt.org/Foreword

All release details are here:
http://openopt.org/Changelog
or
http://forum.openopt.org/viewtopic.php?id=110

Regards,
OpenOpt developers.
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[sage-support] ANN: OpenOpt 0.23 - free numerical optimization framework

[dmitrey]

Hi all,
OpenOpt 0.23, a free Python-written numerical optimization framework
(license: BSD) with some own
solvers and connections to tens of 3rd party ones, has been released.

Our new homepage:
http://openopt.org

Introduction to the framework:
http://openopt.org/Foreword

All release details here:
http://openopt.org/Changelog
or
http://forum.openopt.org/viewtopic.php?id=58

Special thanks to Stepan Hlushak for writing GLP (global) solver de
(differential evolution).

Regards,
OpenOpt developers.
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[sage-support] [numerical optimization] Poll what do you miss in OpenOpt framework

[dmitrey]

Hi all,
I created a poll what do you miss in OpenOpt framework, could you
take participation?

http://www.doodle.com/participation.html?pollId=a78g5mk9sf7dnrbe

Let me remember for those ones who is not familiar with OpenOpt - it's
a free Python-written numerical optimization framework:

http://openopt.org

I intend to take you opinions into account till next OpenOpt release
0.23 (2009-03-15)

Thank you in advance,
Dmitrey

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[sage-support] OpenOpt 0.21 (free optimization framework)

[dmitrey]

Hi all,
OpenOpt 0.21 (free Python-written optimization framework) has been
released

Changes since previous release 0.19 (September 15, 2008):

* major changes for NLP / NSP solver ralg
* new converter: qp2nlp
* new converter: lp2nlp
* new converter: nllsp2nlp
* new converter: nlsp2nlp
* new converter: minimax to NLP
* Introducing OpenOpt GUI
* PSwarm 1.3 has been connected instead of v 1.1. It has much more
parameters to modify and ability to use user-supplied callback
function.
* Lots of changes related to oofun syntax: add oovar and oolin,
now fixed oovars can be correctly handled
* enhanced iterfcn connection for scipy fmin_cobyla
* some doc updates for result structure
* new openopt API func: oosolver
* some code cleanup and bugfixes
* some other minor changes

Backward incompatibility:

* instead of from scikits.openopt now you should use from
openopt import ...
* LSP has been renamed to NLLSP
* oofun with ordinary variables (x) support had been ceased (it's
hard to keep maintaining), use oovars instead.

Currently we are moving OpenOpt website into new location
(openopt.org)

Let me also invite you to the numerical optimization forum at
openopt.org: http://forum.openopt.org

Regards, Dmitrey.
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