Prof. Klaus Schittkowski
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University of Bayreuth

Dept. of Computer Science

Dept. of Mathematics



O. Exler
S. Lehmann
T. Lehmann

B. Sachsenberg


former staff:

PD Dr. Ch. Zillober

Welcome to my web site!


Research activities:

development and empirical comparative tests of optimization codes
nonlinear programming algorithms, especially SQP methods
least squares optimization by SQP-type methods
discretization and parameter estimation of dynamical systems (ODEs, DAEs, PDEs, PDAEs)
automatic differentiation
topology and free material optimization
parameter selection for support vector machines
mixed integer nonlinear and nonconvex programming
interior point methods for bilevel programming


Industrial cooperations:           
CAD-FEM, Grafing
Epcos, Munich
Boehringer Ingelheim Pharma, Biberach
inuTech, Nurenberg
EADS, Manching
Astrium, Munich
TOMLAB Optimization, Västerås
Shell, Rijswijk
ESTECO, Trieste

  ... and others


How to reach me:

Department of Computer Science phone: (+49)921 557750
University of Bayreuth,
Room 2.40, Bldg. AI
D-95440 Bayreuth, Germany  


Claudia Lachmann phone: (+49)921 557751
Room 2.41, Bldg. AI e-mail:


  ... member of the EU-NoE

  ... member of EU-NoE


  ... member of the EU-STRP

  ... honorary member of

  ... member of the International Doctorate Programme

  ... member of the Shell GameChanger programme

  ... subcontractor of the FP7 Collaborative Project

 This page was last updated on 02/09/11.



... click to see full picture

new: NLPIP 1.0 solves large-scale nonlinear optimization problems by a new SQP/IPM method (up to 5,000,000 variables)

new: MISQP 6.0 solves 100 MINLP test problems with less than 500 function calls including those needed for derivative approximations

new: A collection of 100 test problems for nonlinear mixed-integer programming (with Fortran codes)

new: NLPQLP 3.1 solves 95 % of our test problems with only one correct digit in the partial derivatives, termination at 10-7.

  new: Version 5.1 of EASY-FIT ModelDesign coming with  priority levels, time and concentration depending fitting criteria, etc.

new: NLPQLB solves optimization problems with 200,000,000 nonlinear constraints!

new: The Hock-Schittkowski collection, now available in original form

Numerical Data Fitting in Dynamical Systems
... a practical introduction with applications and software
Kluwer Academic Publishers

or are you looking for ...
Tobias Schittkowski