Optimization for Logistics Engineering

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Recursive Programming Programming in Python

Numerical Methods 1

Lecture Slides and Script Exercise Documents Exam: Information and Sample Questions

Numerical Methods II Multibody Simulation Inverse Problems Machine Dynamics I Reliability Theory Risk Analysis Basic mathematics for Operations Research Operations Research for Logistics Optimization for Logistics Engineering Computer Assisted Data Evaluation

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Stochastic pattern formation in biochemical system Stochastic Keller Segel Model Stochastic turing patterns

Stochastic Analysis – SPDEs

Erika Hausenblas

Stochastic Analysis – (B)SDEs

Wilfried Imrich Norbert Seifter

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Hausenblas Brand Steinicke Staněk Mukherjee Seifter

Chair of Applied Mathematics

Chair of Applied Mathematics Teaching Optimization for Logistics Engineering

Optimization for Logistics Engineering

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Rostislav Stanek

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