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An open-source framework for efficient multidisciplinary optimization.

May 10, 2016
by admin
Comments Off on OpenMDAO v1.6.4

OpenMDAO v1.6.4

OpenMDAO v1.6.4 is now available!

Feel free to ask questions on our Stack Overflow tag if you experience any difficulties.

Here are the release notes for 1.6.4:

OpenMDAO Version 1.6.4 Alpha Release Notes
May 10, 2016

Features:
* User can get more compact output from check_partial_derivatives via `compact_print=True` argument
* User can call alloc_jacobian() to pre-allocate jacobian with correct sizes for everything when jacobian structure is fully dense
* Setup messages, warnings, and errors are now all delayed and given all that the same time, at the end of setup.
* Components can now raise AnalysisError when a component fails to have solver or driver handle the situation cleanly. Note: solvers and drivers need to be written to handle this correctly
* Systems (Groups & Components) will set a _jacobian_changed flag, so that solver can know if they need to do some extra work.
* Pyoptsparse Driver will catch AnalysisError and pass fail-flag to pyopt-sparse.
* Added error msg to top of run and run_once in case force_fd is changed from its setting pre-setup.
* User can call list_params method on a group to get a list of all the parameters that don’t have any src at that level of the hierarchy.
* Add a test support utility function to check for the presence of fd_options[‘force_fd’]=True in a group.
* Added option to DirectSolver to improve performance by manually assembling the Jacobian.
* Added support for caching the LU factorization to the DirectSolver. This is the default option.
* We now raise an error if more than one objective is added to a driver that does not support multiple objectives.
* User can specify a scaler when adding an output or state. That number is internally used to scale the variable in the unknowns vector.
* User can specify a resid_scaler when adding a state. That number is internally used to scale the resids vector.
* Many documentation fixes and improvements.
* Coming in next release, a model structure viewer.
* Coming in next release, a basic profiler.

Bug fixes:
* Fixed a sign inconsistency in the derivatives systems with Residuals.
* Fixed error-checking for solver maxiter when there are cycles or states.
* Fixed error message for things that shouldn’t be changed after setup to be more user-friendly.
* Fixed bug when distrib comp used with parallel DOE.

March 1, 2016
by admin
Comments Off on OpenMDAO 1.6.0 Released

OpenMDAO 1.6.0 Released

OpenMDAO v1.6.0 is now available!
And remember, we are now pip-installable, as we are now indexed on pypi:
https://pypi.python.org/pypi/openmdao/1.6.0

Feel free to ask questions on our Stack Overflow tag if you experience any difficulties.

Here are the release notes for 1.6.0:

Backwards-Incompatible Change
*System names must be valid Python names:
Because we add subsystems as attributes of their parent system, the name of each system must be a valid Python name. Otherwise we will raise an exception.

Features
*User now has the ability to call check_total_derivs and have it just do the driver-relevant params/cons/objs instead of every param/unknown in the model.
*Multiple local components are now allowable in a parallel system.
*User can choose to complex step a full model for total derivatives.
*We now account for Jacobian sparsity patern that arises from src_indices connections. This is available for the pyoptsparse driver.
*Documented more of our MPI functionality.
*Added support for File variables.
*Case recorders now save derivative information by default. You can turn this off in the recorder options.
*Pass-by-object connections will now convert units if the object is numeric.
*Now raise an error if a user tries to add the same constraint/param twice.
*Made Brent solver work for when state variable is an element of an array variable.
*Sped up setup of model
*Test nsga2 with pyoptsparse wrapper.
*Added dynamic load balancing option for PredeterminedRunsDriver.
*Removed getitem() function from System class.
*Added complex step example to the FD tutorial.
*Edited paraboloid tutorial and sellar tutorial to include lines where we set initial guesses.

Bugfixes
*Components without outputs now allow linearize to return an empty dict ({}).
*User can now specify units for ExecComp values.
*Two_sided_constraints are now supported in ScipyOptimizer.
*Unit conversions were being reported for pass-by-object variables.
*Fixed bug in check_setup when connecting array_src to scalar target.
*Cleared up problems that ExternalComp had with timeout and Windows process termination.
*check_total_derivatives did not work under single_voi_relevance_reduction because the vectors were setup for only fwd or rev.
*DOE des-vars with array variables didn’t work.
*optlatinhypercube was missing the load_balance arg.
*Fixed bug where RBF interpolator returned NaN when a Jacobian is requested at a point in the training set.
*Fixed a bug where finite difference of a group would error out if there was a pass-by-object param or unknown in any sub-component.
*All metamodel training data is now params.
*Bogus unit conversion msg when inputs that share a source have different units.
*Fixed bug where the size of src_indices could exceed the size of the source.

January 19, 2016
by admin
Comments Off on OpenMDAO 1.5.0 Released!

OpenMDAO 1.5.0 Released!

OpenMDAO v1.5.0 is now available!
And remember, we are now pip-installable, as we are now indexed on pypi:
https://pypi.python.org/pypi/openmdao/1.5.0

Feel free to ask questions on our Stack Overflow tag if you experience any difficulties.

Here are the release notes for 1.5.0:

OpenMDAO Version 1.5.0 Alpha Release Notes
Features
* Proper MPI/PETSC installation/testing/usage now documented in User Guide.
* User can run a DOE in parallel.
* Removed pyoptsparse output from our test output to declutter things.
* User can run a model in parallel using pass_by_obj data transfer under MPI.
* Pyoptdriver now supports saving its history file.
* User can call cleanup method on problem that closes all recorders.
* Converted Brent driver from OpenMDAO Classic to OpenMDAO 1.x
* Case recorder will (optionally) save gradient information from driver cases that requested a gradient in that run.
* OpenMDAO now makes suggestions to user how to improve efficiency when the layout of systems in the model is not optimal.
* OpenMDAO now uses feature of pyOptSparse that allows a single Jacobian element to be sparse.

Bugfixes
* User now gets an error if they pass `promotes` keyword arg into any System.
* Dealt with the duplicate executions of explicit comps when using a solver.
* Fixed bug in accessing prob.unknowns and prob.resids.
* Fixed bug where pyOptSparse/SLSQP failed with Pointer.
* Fixed a bug in pass_by_obj_check_derivatives.
* Fixed MPI hangs that were related to use of Python 3.
* Fixed a bug in ExecComp expressions that didn’t allow the use of ‘:’ notation.
* Added missing documentation of ‘.keys()’ in recorder documentation.
* Fixed a bug in the pass_by_obj params.
* Fixed a problem in recent CADRE runs.

December 16, 2015
by admin
Comments Off on OpenMDAO.org Server Migration Will Cause (Hopefully) Brief Website Outage

OpenMDAO.org Server Migration Will Cause (Hopefully) Brief Website Outage

UPDATE: The migration went pretty well, and openmdao.org should be back at full strength. Please report any problems to our support email.

OpenMDAO.org is being migrated to newer, faster servers on Thursday evening – Friday morning, December 17-18, 2015.
We expect the website to be down for some of that time, or longer, if there are complications.
While OpenMDAO.org is down, our code is still available on Github, our docs at ReadTheDocs, and support available at Stack Overflow .

November 18, 2015
by admin
Comments Off on OpenMDAO v 1.4.0 Released!

OpenMDAO v 1.4.0 Released!

OpenMDAO v 1.4.0 is now available.

API Change
* When using ‘add_desvar’ and ‘add_constraint’, there were inconsistent names for setting
bounds. (low, high vs. lower, upper), which was becoming confusing to users. The new
standard is that all are consistently set using “lower” and “upper”, and the others are deprecated.

Default Setting Changes
* Recording option ‘record_metadata’ now defaults to True for all recorders except CSVRecorder.
* The default linear solver will now be LinearGaussSeidel.

Features
* OpenMDAO 1.3 and onward will be pip-installable, as the project is now indexed on pypi:
https://pypi.python.org/pypi/openmdao/ (installation docs updated)
* Added a “restart” option to the ScipyGMRES solver.
* Added a new real-world example problem (beam-sizing) in the User Guide’s Tutorials section.
* Recorders now have an option to turn off recording of Params, Unknowns, Resids.
* Recorders now include metadata for objectives, design variables, and constraints.
* Parameters may now be declared without val or shape being given.
* Users can now turn on ‘iprint’ recursively for all solvers in a Problem;
do this by calling ‘print_all_convergence’ on a problem after calling setup.
* Users now receive a check_setup warning about any scalar integer variable or any list value.

Bugfixes
* Added a much more descriptive error message if a Jacobian item is the incorrect size.
* Improved shape mismatch errors for connections to be much more specific.
* Updated everything in the Examples directory to run without error.
* Fixed a bug with SqliteRecorder that occurred when running in parallel.
* OpenMDAO’s memory footprint has been reduced by removing some data duplication.
* ‘pass_by_obj’ vars may now be added to a gradient-free driver.

As always, even though we are still in alpha, we apologize if our API changes
cause any problems. Feel free to ask questions on our Stack Overflow tag if you experience any difficulties.

November 4, 2015
by admin
Comments Off on OpenMDAO v 1.3.0 is Released!

OpenMDAO v 1.3.0 is Released!

OpenMDAO v 1.3.0 is now available.

API Change:
We changed our minor version to 1.3.0 due to a minor API change. The function named `jacobian` has been changed everywhere to the clearer, more descriptive, more correct `linearize`. Use of `jacobian` is deprecated, please change your files accordingly to avoid tons of warning and, eventually, bitter disappointment.

As always, even though we are still in alpha, we apologize if our API changes
cause any problems. Even though this change should be a quick search and replace, feel free to ask questions on our Stack Overflow tag if you experience any difficulties.

October 15, 2015
by admin
Comments Off on OpenMDAO v1.2.0

OpenMDAO v1.2.0

Today marks the release of OpenMDAO 1.2.0, which contains several features and bugfixes, but which is highlighted by an API change:

API Change
The way imports work in OpenMDAO has changed. Importing things from their parent module
no longer works. Importing things directly from their source files still works.
A new namespace, “openmdao.api” has been created, from which you can import anything
you previously got from a module file.

Examples:
#Example 1: old way, import from module, no longer supported
from openmdao.core import Component, Group
from openmdao.components import IndepVarComp
from openmdao.solvers import ScipyGMRES

#Example 2: directly from source file (still works), to do same as Ex 1.
from openmdao.core.component import Component
from openmdao.core.group import Group
from openmdao.components.indep_var_comp import IndepVarComp
from openmdao.solvers.scipy_gmres import ScipyGMRES

#Example 3: new way using openmdao.api, to do same as Ex 1.
from openmdao.api import Component, Group, IndepVarComp, ScipyGMRES

As always, even though we are still in alpha, we apologize if our API changes
cause any problems. Feel free to ask questions on our Stack Overflow tag if you
experience any difficulties.

September 22, 2015
by admin
Comments Off on OpenMDAO 1.1.0 Release Highlighted by API Changes

OpenMDAO 1.1.0 Release Highlighted by API Changes

OpenMDAO is proud to announce the release of version 1.1.0 (Alpha). Many new enhancements were added, and bugfixes made. Those are detailed in the release notes. Of major importance, however, are a couple changes to our API that bear special mention here.

We’ve made one set of API changes to hopefully cut down on confusion due to overuse of the word ‘param’. The first thing we’ve done is change the name of ParamComp to IndepVarComp, because it’s really just a component that supplies one or more independent variables as outputs, and it has no parameters. ParamComp has been deprecated but will eventually be removed. Secondly, we changed the names of some Driver methods, replacing param with desvar, which is short for ‘design variable’. So set_param is now set_desvar, get_params is now get_desvars, and add_param is now add_desvar.

The other set of API changes refers to ConstraintComp. Specifically, the ConstraintComp is going away. We have a new interface for adding constraints. You still use the add_constraint method, but now you specify an “upper” or “lower” bounds (or “equals” for equality constraints.)

e.g. driver.add_constraint(‘(var_name)’, lower=xxx, upper=xxx, equals=xxxx).

This API change enabled us to easily support double-sided constraints, which SNOPT can use.

We apologize for any inconvenience that these API changes may cause.

August 22, 2015
by admin
Comments Off on New MDAO book by Dr. Sobieski

New MDAO book by Dr. Sobieski

Dr. Jaroslaw Sobieski is one of the founding fathers of the MDAO discipline, and he’s published a new book, with co-authors Alan Morris and Michel van Tooren. It’s titled “Multidisciplinary Design Optimization Supported by Knowledge Based Engineering”. The book focuses on MDAO and its link to Knowledge Based Engineering (KBE), but also covers the link between design optimization and concurrent computing technology.

July 20, 2015
by admin
Comments Off on The Alpha Has Landed. Welcome to OpenMDAO 1.0.0A

The Alpha Has Landed. Welcome to OpenMDAO 1.0.0A

You may have noticed that there have not been a lot of commits to the OpenMDAO-Framework repository lately. Don’t worry, we’ve still been working hard on OpenMDAO. We’ve just been doing it under a different repository, for the 1.0 Alpha release. Why a separate repo?  Well, it’s because the OpenMDAO 1.0.0 Alpha is a ground-up, from-scratch rewrite of the entire framework guided by three main principles:

  1. The code base should have as few dependencies as possible
  2. The user-facing API should be as small and self-consistent as possible
  3. There should not be any “magic” happening without the user’s knowledge

In order to follow those principles, we needed to free ourselves to consider all aspects of the framework design, including the model-building API. When we started working on this new code, we weren’t even sure that the experiment would work out.   Making big, backwards-incompatible API changes was not an easy decision, because we value our users highly, and don’t want to lose you.  But as development continued, it became clear that the new code was far superior to the existing one, and the design that caused the backwards-incompatible changes was worth the costs. Here are some of the key highlights of what has improved in the 1.0.0 Alpha:

  • 10x smaller code base (~5000 lines of code compared to ~50,000 before)
  • Compatible with both Python 2.7+ and Python 3.4+
  • Install using pip, just like any other Python package
  • No more Traits dependency, and no more weird class-like variable definitions anymore!
  • Ability to manually group components to be finite-differenced together
  • No more dataflow/workflow duality. Now you just define a single model hierarchy
  • No more Assembly overhead. Grouping components no longer introduces large inefficiencies
  • Parallel execution (and parallel adjoint derivatives) with an MPI distributed-memory data passing system
  • New support forum on StackOverflow

What does “Alpha” Mean?

Alpha means that we’ve got the core of the new OpenMDAO done, and it is fairly stable. But we still reserve the right to make minor tweaks to the API. Also, we are currently missing some functionality when compared to OpenMDAO <= 0.13.0. What’s missing? Well, the major stuff is:

  • No External Code (file wrappers)
  • No MetaModel or surrogate model generators
  • No DOE/CID drivers
  • No automatic execution ordering
  • No support for our older plugins

That being said, we’re working hard to improve the code every day. So if you do choose to install the Alpha, we hope you’ll clone our Github repo to do it. That way you can pull down the latest code updates easily. A Beta release that will be more feature-complete and with a more written-in-stone API is coming, but you don’t have to wait for the official release. Our repo is getting daily feature additions and bug fixes. In fact, installing the Alpha and giving us feedback is the best way to help get the missing features you most dearly want moved to the top of the pile!

“There is no such thing as a free lunch”

As we said,  to get all this shiny awesomeness into 1.0.0 we had to make some major backwards-incompatible changes to the user API.  Sadly, your old models aren’t going to work without some fairly significant re-factoring. We know that this is going to cause a bit of pain for a our current users, so we’ve taken a couple steps to help minimize the impact as much as possible. First, we’ll keep all the old versions (and their docs) up and available on our archive page. Second, we’ll keep the old support forum around for help with models on the older version. Keeping support separate for old and new versions will minimize confusion somewhat.  Therefore, questions regarding the alpha should go up on StackOverflow. We won’t be actively developing any new features or bug fixes for the older versions, but we’ll do our best to help users with their models on the older versions as long as possible. When you are ready to make the switch, we’ve provided a conversion guide to show you how translate models from old to new.

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