[SciPy-User] [ANN] HCO Challenge Workshop "Parameter and State Estimation: Methods - Software - Applications", Nov. 10-11, 2015, Heidelberg, Germany

[Sebastian Walter]

Dear SciPy community,

There seems to be a significant interest in nonlinear optimization and
parameter estimation methods in the SciPy community (numerous discussions
on the mailing list, the ongoing GSoC project by Evgeni Burovski and
Nikolay Mayorov, etc.). I am myself a regular user of the NumPy/SciPy
stack, and maintainer of some humble Python packages (AlgoPy, PyAdolc).

The Heidelberg Collaboratory for Industrial Optimization (HCO) is hosting a
Challenge Workshop on "Parameter and State Estimation: Methods - Software -
Applications", Nov. 10-11, 2015, Heidelberg.
I believe this workshop could be of interest to the SciPy developers and
community.
Here is the official announcement:

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We cordially invite you to participate in the


*HCO Challenge Workshop**“Parameter and State Estimation: Methods -
Software - Applications”*

November 10-11, 2015
International Academic Forum Heidelberg
*Hauptstr. 42, 69117 Heidelberg, Germany*

*Homepage*:  *http://hco.iwr.uni-heidelberg.de
<http://hco.iwr.uni-heidelberg.de/>*

*Scope of the workshop:*

Model-based simulation and optimization methods become increasingly
important for the development of new products and more efficient processes.
Fundamental requirement to  leverage the full potential of model-based
methods is the development of *predictive mathematical models* and their
quantitative validation. This complex task requires robust and efficient
numerical methods for parameter estimation. Furthermore, advanced control
of processes in real time needs fast and reliable numerical methods for
state estimation.

Industrial practice shows that in order to realize the full potential of
modelling complex processes we have to deal with a number of new
challenges. Because of the high relevance of *parameter and state
estimation* methods for current and future research and development, the
Heidelberg Collaboratory for Industrial Optimization (HCO) invites decision
makers, researchers and practitioners from academia and industry to
participate in this workshop.

Primary goals:

   - present an overview of state-of-the-art methods for parameter and
   state estimation
   - discuss current challenges from industry and academia
   - identify requirements for the next generation of parameter and state
   estimation methods and software
   - foster synergies and collaborations

We kindly invite your contribution and participation. Note that the number
of participants and remaining presentation slots is limited. *Please
register at* *http://hco.iwr.uni-heidelberg.de*
<http://hco.iwr.uni-heidelberg.de>.


*Workshop Fee:* Early Bird: 100 EUR
Normal: 150 EUR
*Important Deadlines*:
Abstract Submission: Sept. 30, 2015
Registration (early bird): Sept. 30, 2015

*Confirmed speakers include representatives of:*
Austrian Institute of Technology, BASF SE, Deutsche ACCUmotive GmbH & Co.
KG, Daimler AG, HSKA Karlsruhe, TU Berlin, TU Dortmund, SAS Institute GmbH


*The event is kindly supported by: *Committee for Mathematical Modeling,
Simulation and Optimization (KoMSO)
Heidelberg Graduate School of Mathematical and Computational Methods for
the Sciences (HGS MathComp)
Interdisciplinary Center for Scientific Computing (IWR), Heidelberg
University
Mathematics Center Heidelberg (MATCH)

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