# Past Events

## November 2019

### GUT Course scheduled for November 25- 26, 2019

Dr. Michael Mende with the University of Konstanz, Germany is scheduled to teach a course on good scientific practice to the students of the Research Training Group on November 25 and 26, 2019.  The event will take place in room V302.

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### Research Seminar Talk by Dennis Kreber

Dr. Dennis Kreber is scheduled to speak about his research in the Research Seminar on Wednesday, November 27, 2019 at noon in E 51.

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## December 2019

### ALOP Colloquium with Timm Faulwasser

On Monday, December 2 2019 at 9:00 c.t.  Prof. Dr. -Ing. Timm Faulwasser, TU Dortmund will present his recent work entitled Dissipativity and Turnpike Properties in Optimal Control – Insights and Open Problems In many engineering disciplines and beyond (economics, physics, …) performance optimization under explicit consideration of dynamics and operational constraints, i.e. optimal control, plays a pivotal role. The last 60 years have seen tremendous progress in terms of optimality conditions and PMP formulations, and in terms of powerful…

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### ALOP Colloquium with Stefan Weltge

On Wednesday, December 4, 2019 at 12:00 c.t., Prof. Dr. Stefan Weltge, Assistant Professor at Technical University Munich (TUM) will present his recent work entitled Persistency of Linear Programming Relaxations for Stable Set Abstract:   The Nemhauser-Trotter theorem states that the standard linear programming (LP) relaxation for the stable set problem has a remarkable property, also known as the (weak) persistency property:  for every optimal LP solution that assigns integer values to some variables, there exists an optimal integer solution…

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### Research Seminar Talk by Lukas Winkel

Lukas Winkel is scheduled to speak about his research entitled "A Soft Branch & Bound Algorithm for Mixed Integer Linear Complementarity Problems" in the Research Seminar on Wednesday, December 11,  2019 at noon in E 51.

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### ALOP Colloquium with Martine Labbé

On Thursday, December 19 2019 at 16:00 c.t.  Dr. Martine Labbé, Université Libre de Bruxelles  will present her recent work Title and Abstract will follow.   The presentation will take place in HS 9. Please join us for coffee at 15:45 in E10.

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## January 2020

### Short course on the Introduction to Mixed-Integer Nonlinear Optimization

Prof. Dr. Martin Schmidt, a Principal Investigator of the Research Training Group on Algorithmic Optimization, is offering a short course on the Introduction to Mixed-Integer Nonlinear Optimization. The course will consist of 4 x 2  lectures of 90 minutes each on the following dates and times: Wednesday,                     21 January 2020                     14:00 – 17:15                                              HS 10 Wednesday,                      5 February 2020                    14:00 – 17:15                                              HS 10 Wednesday,                     12 February 2020                   14:00 –…

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## February 2020

### Mathematical Writing Course with Mirjam Duer

Prof. Dr. Mirjam Dür with Augsburg University will teach a Mathematical Writing Course on Thursday, February 6, 2020 from 1 to 4 pm in Room E 10.

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### CANCELLED – ALOP Colloquium with Shengfeng Zhu

CANCELLED DUE TO THE CURRENT TRAVEL RESTRICTIONS IN CHINA This presentation will be rescheduled at a later time. On Monday, February 10 2020 at 16:00 c.t.  Dr. Shengfeng Zhu of East China Normal University will present his recent work entitled Finite element approximations of shape gradients with applications in shape optimization  Abstract: Shape optimization has many practical applications in science and engineering. Boundary type Eulerian derivative has been widely used in shape gradient algorithms. The distributed Eulerian derivative is seldom…

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### ALOP Colloquium with Marianna de Santis

On Monday, February 24 2020 at 16:00 c.t.  Dr. Marianna de Santis, Università de Roma, DIAG  will present her recent work entitled Branch-and-bound Algorithms for structured Mixed Integer Nonlinear Programming Problems Abstract: Mixed Integer Nonlinear Programming (MINLP) is the area of optimization  that addresses nonlinear problems with continuous and integer variables.  MINLP has proven to be a powerful tool for modeling and it combines challenges from both combinatorial and nonlinear optimization. In this talk, we deal with the computation of…

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## March 2020

### ALOP Colloquium with Hanno Gottschalk

On Tuesday, March 3 2020 at 16:00 c.t.  Prof. Dr. Hanno Gottschalk  , Bergische Universität Wuppertal  will present his recent work. entitled False Positives and False Negatives in Semantic Segmentation: Toward the assurance of the perception with deep CNN in atonomous driving Abstract: The application of machine learning technology in safety relevant environments poses several challenges regarding their reliability. This especially applies to modern deep learning architectures, which pretty much resemble a black box. In this talk, measures of uncertainty…

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## May 2020

### Short Course on Computational Statistics

PD Dr. Jan Pablo Burgard, a Principal Investigator with the Research Training Group on Algorithmic Optimization, is offering a short course on Computational Statistics during the summer semester 2020. The course will consist of several lectures of 90 minutes each. The exact dates and times will be announced shortly.   Course Abstract to follow.

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### Short Course on Optimization on Manifolds

Prof. Dr. Volker Schulz, Speaker of the Research Training Group on Algorithmic Optimization, is offering a short course on the Optimization on Manifolds during the summer semester 2020. The course will consist of several lectures of 90 minutes each. The exact dates and times will be announced shortly.   Course Abstract to follow.

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### Lukas Mich to speak during the research seminar

ALOP member Lukas Mich will speak during the research seminar on  May 20, 2020 at 12:15 on the topic "Solving High-dimensional Stochastic Optimal Control Problems using Neural Networks“. Please join as via ZOOM at 12:15 by clicking this link

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## June 2020

### Michael Vu to speak during the research seminar

ALOP member Michael Vu will speak during the research seminar on June 3, 2020 at 12:15 about his work. Please join as via ZOOM at 12:15 by clicking this link

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### ALOP Colloquium with Prof. Andrés Gómez

Assistant Professor Andrés Gómez of Daniel J. Epstein Department of Industrial and Systems Engineering, University of Southern California, will speak at our colloquium on June 15, 2020 at 5 pm about his research via ZOOM. Title: Sparse learning via mixed-integer optimization.   Abstract: This talk addresses inference problems in which sparsity plays a fundamental role. Sparse statistical models are interpretable by design and often have improved out-of-sample performance than dense models, but learning a sparse model model from data often…

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### Mercator Fellow Matthias Heinkenschloss scheduled to lecture via ZOOM

Research Training Group ALOP's Mercator Fellow, Prof. Dr. Matthias Heinkenschloss of Rice University, will present a special lecture on Wednesday, June 17, 2020 at  16:15 local time via ZOOM. You may enter the waiting area beginning at 16:00. The presentation will take appr. 1 hour. Prof. Heinkenschloss will speak on the topic of   Numerical Solution of Risk-Averse PDE-Constrained Optimization Problems   Abstract This talk gives a unified presentation of several recent optimization approaches for solving risk-averse partial differential equation…

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### ALOP-Colloquium with apl. Prof. Martin Gugat

On Monday, June 22. 2020 at 16:00 c.t.  apl. Prof. Martin Gugat,  FAU Erlangen-Nuernberg will present his recent work and speak on the following topic:   The finite time turnpike phenomenon for optimal control problems Abstract: Often in dynamic optimal control problems with a long time horizon, in a large neighburhood of the middle of the time interval the optimal control and the optimal state are very close to the solution of a static control problem that is derived from…

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### Carina Costa to speak during the research seminar

ALOP member Carina Costa will speak during the research seminar on  June 24, 2020 at 12:15 on the topic ""Decomposition Methods for Robustified $k$-Means Clustering Problems: If Less Conservative Does Not Mean Less Bad.“ Please join as via ZOOM at 12:15 . The link will be distributed via Email.

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### ALOP-Colloquium with Prof. Dr. Luise Blank

On Monday, June 29. 2020 at 16:00 c.t.  Prof. Dr. Luise Blank with the Universitaet Regensburg will present her recent work at our colloquium entitled Optimization with convex constraints and an application in topology optimization This talk focuses on projection type methods for convexly constrained optimization problems. We shortly introduce well known projection methods using the gradient in ﬁnite dimensions and summarize known results. Varying the underlying scalar product allows to include second order information to speed up the method. E.g.…

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## July 2020

### ALOP-Colloquium with Julia Gruebel, M.Sc., FAU Erlangen-Nuernberg

On Monday, July 13. 2020 at 16:00 c.t.  Julia Gruebel, FAU Erlangen-Nuernberg will present her recent work via a ZOOM presentation. Titel: On Electricity Market Equilibria with Storage: Modeling, Uniqueness, and a Distributed ADMM  Abstract: This talk focuses on spot-market trading of electricity including storage operators as additional agents besides producers and consumers. Storage devices allow for shifting produced electricity from one time period to a later one. Due to this, multiple market equilibria may occur even if classical uniqueness…

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### Daniel Hoffmann to speak during Research Seminar

ALOP member Daniel Hoffmann will speak during the research seminar on July 15, 2020 on the topic "Branching Diffusions with Jumps and Valuation with Systemic Counterparts" Please join as via ZOOM at 12:15 . The link will be distributed via Email.

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### ALOP-Colloquium with Mathieu Besançon

On Monday, July 20. 2020 at 16:00 c.t.  Mathieu Besançon of INRIA will present his recent work at our colloquium: Near-optimality robustness in bilevel optimization   Bilevel optimization studies problems where the optimal response to a second mathematical optimization problem is integrated in the constraints. We introduce near-optimal robustness for bilevel problems, protecting the upper-level decision-maker from bounded rationality at the lower level. This model finds a corresponding and intuitive interpretation in various situations cast as bilevel optimization problems. We…

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## October 2020

### Autumn School on Bilevel Optimization

The Research Training Group on Algorithmic Optimization proudly announces its fifth annual Autumn School scheduled to take place from October 12 - 14, 2020. This year's Autumn School will take place in a digital setting (via ZOOM).   Confirmed speakers are: Martine Labbé, Université Libre de Bruxelles Ivana Ljubic, Essec Business School Didier Aussel, University of Perpignan   Organizers:  Marina Leal Palazon, Universidad de Valencia Martin Schmidt, Trier University   The workshop is scheduled to begin on  Monday, October 12,…

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## November 2020

### ALOP member Lena Sembach to speak during Research Seminar

ALOP member Lena Sembach will speak during the research seminar on January 21, 2021. The topic will be announced soon. Please join as via ZOOM at 12:15 . The link will be distributed via Email.

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### ALOP-Colloquium with Prof. Dr. Volker Mehrmann, TU Berlin

On Monday, November 9. 2020 at 16:00 c.t. Prof. Dr. Volker Mehrmann, TU Berlin will present his recent work at our colloquium entitled Hierarchical energy based modeling, simulation and control  of multi-physics systems. Abstract:   The next level of digitization will create digital twins of every product or process. To do this in a mathematical rigorous and risk and error controlled way, a new modeling, simulation and optimization paradigm is needed. While automated modularized modeling is common in some domains like…

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### ALOP-Colloquium with Prof. Dr. Rakesh Vohra, University of Pennsylvania

On Monday, November 23, 2020 at 16:00  Prof. Dr. Rakesh Vohra, University of Pennsylvania will present his recent work at our colloquium entitled   Linear Programming and Prophet Inequalities   Prophet inequalities bound the expected reward that can be obtained in a class of stopping problems by the optimal reward of the corresponding off-line problem. We use linear programming techniques to obtain prophet inequalities for a class of stopping problems associated with selecting a point in a polyhedron. One application…

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### ALOP Member Max Spaeth to speak during Research Seminar

ALOP member Max Späth will speak during the research seminar on November 25, 2020. The topic will be announced shortly. Please join as via ZOOM at 12:15 . The link will be distributed via Email.

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## December 2020

### ALOP-Colloquium with Dr. Christina Schenk, Basque Center for Applied Mathematics

On Monday, December 7,  2020 at 16:00 c.t. Dr. Christina Schenk will present her recent work titled "Population Balance Modeling, Simulation and Optimization: From Wine Fermentation to Polymerization" at our colloquium. Abstract: The continuous increase of energy consumption and pollution by carbon dioxide emissions worldwide requires improvements in terms of energy efficiency and advanced materials. Within the scope of this talk we look at different aspects regarding mathematical modeling, simulation and optimization for several industrial applications. The proposed mathematical advances…

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### ALOP-Colloquium with Prof. Dr. Falk Hante, HU Berlin

On Monday, December 14, 2020 at 16:00, Prof. Dr. Falk Hante, Humbold Universität zu Berlin will present his recent work at our colloquium.   Title: Sequential action control for stabilization of PDE-dynamical systems We present sequential action control as a framework suitable for control and stabilization of PDE-dynamical problems. As a variant of a moving horizon method, but in contrast to classical model predictive control approaches, the control synthesis does not require to compute solutions of dynamic optimization problems. Moreover,…

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### ALOP Member Anke-Julia Gebhardt to speak during Research Seminar

ALOP member Anke-Julia Gebhardt will speak during the research seminar on December 16, 2020. The topic will be announced shortly. Please join as via ZOOM at 12:15 . The link will be distributed via Email.

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## January 2021

### ALOP-Colloquium with Prof. Dr. Steven Gabriel, University of Maryland

On Monday, January 25, 2021 at 16:00 c.t. Prof. Dr. Steven Gabriel of the University of Maryland , Baltimore will present his recent work at our colloquium entitled   A parametric programming approach to bilevel optimisation with lower-level variables in the upper level This paper examines linearly constrained bilevel programming problems in which the upper-level objective function depends on both the lower-level primal and dual optimal solutions. We parametrize the lower-level solutions and thereby the upper-level objective function by the…

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## April 2021

### ALOP member Marc Harmening to speak during Research Seminar

ALOP member Marc Harmening will speak about his work during the research seminar on April 7, 2020. The topic will be announced shortly. Please join as via ZOOM at 12:15 . The link will be distributed via Email.

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### ALOP-Colloquium with Prof. Dr. Tobias Harks, Augsburg University

On Monday, April 19, 2021 at 16:00 c.t. Prof. Dr. Tobias Harks of Augsburg University will present his recent work at our colloquium entitled   Pricing in Resource Allocation Games We consider a basic resource allocation game, where the players’ strategy spaces are subsets of R^m and cost/utility functions are parameterized by some common vector u \in∈ R^m and, otherwise, only depend on the own strategy choice. A strategy of a player can be interpreted as a vector of resource…

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### ALOP-Colloquium with Dr. Ritesh Kumar Dubey of SRM University Chennai

On Monday, April 26, 2021 at 16:00 c.t.  Dr. Ritesh Kumar Dubey of SRM University Chennai will present his recent work at our colloquium.    Title of the Talk: On numerical diffusion for entropy stable shock capturing schemes for hyperbolic conservation laws One of the fundamental problems associated with the solution of hyperbolic conservation laws is the presence of inevitable discontinuities in it. This poses various challenges for the numerical approximation of such admissible solutions which eventually demand to construct…

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## May 2021

### ALOP-Colloquium with Prof. Dr. Bijan Mohammadi, Montpellier University

On Monday, May 3, 2021 at 16:00 c.t. Prof. Dr. Bijan Mohammadi, Montpellier University, will present his recent work at our colloquium.  He will speak about Variational nearshore dynamics  Abstract: Minimization principles are used in fluid-structure coupling to model sandy sea beds  evolution.The sandy bed is seen as a structure with low stiffness. We start with a model problem featuring the behavior of the coupling.Then water motion in shallow domains is described by the Saint Venant equations.This coupling bringing the…

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### ALOP member Carina Costa to speak during the Research Seminar

ALOP member Carina Costa will speak during the research seminar on May 5, 2021 on the topic of An Alternating Method for Cardinality-Constrained Optimization Please join as via ZOOM at 12:15 . The link will be distributed via Email.

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### ALOP-Colloquium with Pascal Van Hentenryck, Georgia Tech

On Monday, May 10, 2021, Prof. Dr. Pascal Van Hentenryck, Georgia Tech will present his recent research titled: Differential privacy of hierarchical Census data: An optimization approach This talk considers applications of a Census Bureau interested in releasing aggregate socio-economic data about a large population without revealing sensitive information about any individual. The released information can be the number of individuals living alone, the number of cars they own, or their salary brackets. Recent events have identified some of the…

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### ALOP-Kolloquium with Oliver Stein, Karlsruher Institut für Technologie (KIT)

On Monday, May 17, 2021 at 16:00 c.t. Prof. Dr. Oliver Stein, Karlsruher Institut für Technologie (KIT) will present his recent work at our colloquium titled:  The granularity concept in mixed-integer optimization Granularity is a geometrically motivated concept which relaxes the difficulties imposed by integrality conditions and often provides ways for determining good feasible points of mixed-integer optimization problems at low computational cost. We explain how this concept leads to algorithms for the computation of feasible points in mixed-integer linear, convex,…

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## June 2021

### ALOP-Colloquium with Laura Albert, University of Wisconsin-Madison

On Monday, June 14, 2021 at 16:00 c.t.  Prof. Dr. Laura Albert, University of Wisconsin-Madison will present her recent work at our colloquium.  She will speak on a very popular contemporary topic Supporting academic researchers during the COVID-19 pandemic and beyond Abstract The literature documents the many challenges faced by faculty from marginalized groups in terms of their hiring, retention, and advancement. The COVID-19 global pandemic has exasperated these inequities and has created serious challenges for many academic researchers, especially…

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### ALOP member Lukas Winkel to speak during Research Seminar

ALOP member Lukas Winkel will speak during the research seminar on June 16, 2021.  Please check back for the topic of his presentation.   Please join as via ZOOM at 12:15 . The link will be distributed via Email.

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### ALOP associate member Yasmine Beck to speak during Research Seminar

ALOP associate member Yasmine Beck will speak during the research seminar on June 30, 2021 on the topic of Γ-robust Bilevel Optimization   Please join as via ZOOM at 12:15 . The link will be distributed via Email.

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## July 2021

### ALOP-Colloquium with Frauke Liers, FAU Erlangen-Nürnberg

On Monday, July 5, 2021 at 16:00 c.t.  Prof. Dr. Frauke Liers with FAU Erlangen-Nuernberg will present her recent work at our colloquium. She will speak on the topic of   Data-Driven Robust Protection for Uncertain Optimization Problems   One way of protecting against uncertainties that occur in real-world applications is to apply and to develop methodologies from robust optimization that determine best possible robust solutions that are feasible regardless of how uncertainties manifest themselves within predefined uncertainty sets. However,…

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### ALOP Workshop on Nonlocal Models

This workshop will be held in a digital format (live). Registration is free.   The Research Training Group on Algorithmic Optimization is hosting a workshop on which will take place as a live video conference via Zoom from July 12-14, 2021. Plenary Speakers Harbir Antil (George Mason University) Marta D'Elia (Sandia National Laboratories) Max Gunzburger (Florida State University) Moritz Kaßmann (Universität Bielefeld) Julio D. Rossi (Universidad de Buenos Aires) Pablo Seleson (Oak Ridge National Laboratory)   Scope The goal of…

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## October 2021

### Autumn School on Optimization and Market Design

The Research Training Group on Algorithmic Optimization proudly announces its sixth annual Autumn School scheduled to take place from October 4 -  7, 2021. Data intensive firms like Uber, AirBnB, Deliveroo and the European Electricity Markets play the role of market makers connecting buyers with sellers. They must, among other things, monitor quality, standardize offerings so as to operate at scale, determine prices and facilitate search. Optimization plays a fundamental role in the design of the rules of a marketplace.…

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## November 2021

### ALOP-Colloquium with Daniel Aloise, Polytechnique Montréal

On Monday, November 8, 2021 at 16:00 c.t.  Dr. Daniel Aloise, Polytechnique Montréal will present his recent work at our colloquium.  Title: Convex fuzzy k-medoids clustering Abstract: K-medoids clustering is among the most popular methods for cluster analysis, but it carries several assumptions about the nature of the latent clusters. In this work, we introduce the Convex Fuzzy k -Medoids (CFKM) model, whose underlying formulation not only relaxes the assumption that objects must be assigned entirely to one and only one…

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### ALOP-Colloquium with Sungho Shin, University of Wisconsin-Madison

On Monday, November 15, 2021, at 16:00 c.t., Ph.D. candidate Sungho Shin, University of Madison-Wisonsin will speak about his recent work:   Title: Graph-Structured Nonlinear Programming: Properties and Algorithms   A graph-structured nonlinear program (NLP) is a nonlinear optimization problem whose algebraic structure is induced by a graph. These problems arise in diverse applications such as dynamic optimization (model predictive control and moving horizon estimation), network optimization (energy systems and supply chain), optimization with embedded discretized partial differential equations, and…

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## January 2022

### ALOP-Colloquium with Prof. Samuel Amstutz, CMAP – Ecole Polytechnique

On Monday, January 10, 2022, at 16:00 c.t., Prof. Samuel Amstutz of CMAP - Ecole Polytechnique will speak about his recent work regarding Topology optimization and optimal partitioning with non-local perimeter approximation Topology optimization deals with the optimal design of shapes of unknown topology. For such problems, the perimeter may be considered as penalization to regularize the boundaries and ultimately favor the existence of optimal shapes, but it is difficult to handle directly within algorithms because it is highly sensitive…

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## February 2022

### ALOP-Colloquium with Prof. Geunyeong Byeon, Arizona State University

On Monday, February 7, 2022, at 16:00 c.t., Prof. Geunyeong Byeon, Arizona State University will speak about her recent work. Decomposition Methods for Bilevel Problems with Convex Follower Abstract: Bilevel optimization formulates hierarchical decision-making processes that arise in many real-world applications such as in pricing, network design, and infrastructure defense planning. This work considers a class of bilevel optimization problems where the upper level problem features some integer variables while the lower level problem enjoys strong duality. We propose a…

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## April 2022

### ALOP-Colloquium with Dr. Akhil Vohra, University of Cambridge

On Monday, April 11, 2022, at 16:00 c.t., Dr. Akhil Vohra, University of Cambridge will speak on the topic of Bayesian Persuasion: Reduced Form Approach. Abstract: We illustrate the usefulness of reduced form representations of Bayesian persuasion problems with two applications. In one, the reduced form representation yields a simple algorithm to determine the support of the optimal solution. In the second, the reduced form leads to a simple greedy algorithm to determine the maximum value a sender can achieve…

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