Scientific Computing Seminar

Date and Place: Thursdays and hybrid (live in 32-349/online via Zoom). For detailed dates see below!

Content

In the Scientific Computing Seminar we host talks of guests and members of the SciComp team as well as students of mathematics, computer science and engineering. Everybody interested in the topics is welcome.

List of Talks

Event Information:

  • Thu
    22
    May
    2025

    SC Seminar: Julia Manger

    10:30Room 32-349

    Julia Manger, Department of Computer Science, University of Kaiserslautern-Landau (RPTU)

    Title: Bayesian Optimization with Inequality Constraints

    Abstract:

    Bayesian Optimization (BO) is an effective method for optimizing expensive-to-evaluate
    black-box functions, often applied in engineering and machine learning. Many real-world
    problems involve constraints that standard BO is not designed to manage.
    This thesis explores the integration of inequality constraints in BO, extending it to con-
    strained problems. In simulations of both one- and two-dimensional search spaces, con-
    strained Bayesian Optimization (cBO) demonstrates an effective balance between explo-
    ration and exploitation, simultaneously ensuring the feasibility of solutions.
    cBO is also compared with the Quadratic Penalty (QPF) method and with a method
    using projection to show cBO’s advantages compared to penalty- or projection-based
    optimization.