Publications related to Kruskal's algorithm

A continuum approximation approach to the depot location problem in a crowd-shipping system

Nikolaos Geroliminis, Patrick Stefan Adriaan Stokkink

Last-mile delivery in the logistics chain contributes to congestion in urban networks due to frequent stops. Crowd-shipping is a sustainable and low-cost alternative to traditional delivery but relies heavily on the availability of occasional couriers. In ...

PERGAMON-ELSEVIER SCIENCE LTD2023

Frequency-Domain Non-intrusive Greedy Model Order Reduction Based on Minimal Rational Approximation

Fabio Nobile, Davide Pradovera

We present a technique for Model Order Reduction (MOR) of frequency-domain problems relying on rational interpolation of vector-valued functions. The selection of the sample points is carried out adaptively according to a greedy procedure. We describe seve ...

SPRINGER INTERNATIONAL PUBLISHING AG2021

Online Contention Resolution Schemes With Applications To Bayesian Selection Problems

Ola Nils Anders Svensson, Moran Feldman, Rico Zenklusen

We introduce a new rounding technique designed for online optimization problems, which is related to contention resolution schemes, a technique initially introduced in the context of submodular function maximization. Our rounding technique, which we call o ...

2021

A comment on performance guarantees of a greedy algorithm for minimizing a supermodular set function on comatroid

Maryam Kamgarpour, Baiwei Guo, Orcun Karaca

We provide a counterexample to the performance guarantee obtained in the paper "Il'ev, V., Linker, N., 2006. Performance guarantees of a greedy algorithm for minimizing a supermodular set function on comatroid", which was published in Volume 171 of the Eur ...

ELSEVIER2021

Pareto-like sequential sampling heuristic for global optimisation

Katrin Beyer, Mahmoud S. M. Shaqfa

In this paper, we propose a simple global optimisation algorithm inspired by Pareto’s principle. This algorithm samples most of its solutions within prominent search domains and is equipped with a self-adaptive mechanism to control the dynamic tightening o ...

2021

Residential density classification for sustainable housing development using a machine learning approach

Dan Assouline, Nahid Mohajeri Pour Rayeni, Alina Ursula Rosa Walch

Using Machine Learning (ML) algorithms for classification of the existing residential neighbourhoods and their spatial characteristics (e.g. density) so as to provide plausible scenarios for designing future sustainable housing is a novel application. Here ...

IOP PUBLISHING LTD2021

MATHICSE Technical Report : Frequency-domain non-intrusive greedy Model Order Reduction based on minimal rational approximation

Fabio Nobile, Davide Pradovera

MATHICSE2020

Actuator Placement under Structural Controllability using Forward and Reverse Greedy Algorithms

Maryam Kamgarpour, Tyler Summers, Baiwei Guo, Orcun Karaca

Actuator placement is an active field of research which has received significant attention for its applications in complex dynamical networks. In this paper, we study the problem of finding a set of actuator placements minimizing the metric that measures t ...

2020

Learning to Play Sequential Games versus Unknown Opponents

Maryam Kamgarpour, Andreas Krause, Ilija Bogunovic

We consider a repeated sequential game between a learner, who plays first, and an opponent who responds to the chosen action. We seek to design strategies for the learner to successfully interact with the opponent. While most previous approaches consider k ...

Curran Associates, Inc.2020

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Kruskal's algorithm

A continuum approximation approach to the depot location problem in a crowd-shipping system

Performance guarantees of forward and reverse greedy algorithms for minimizing nonsupermodular nonsubmodular functions on a matroid

Frequency-Domain Non-intrusive Greedy Model Order Reduction Based on Minimal Rational Approximation

Online Contention Resolution Schemes With Applications To Bayesian Selection Problems

A comment on performance guarantees of a greedy algorithm for minimizing a supermodular set function on comatroid

Pareto-like sequential sampling heuristic for global optimisation

Residential density classification for sustainable housing development using a machine learning approach

MATHICSE Technical Report : Frequency-domain non-intrusive greedy Model Order Reduction based on minimal rational approximation

Actuator Placement under Structural Controllability using Forward and Reverse Greedy Algorithms

Learning to Play Sequential Games versus Unknown Opponents

Graph Chatbot

Chat with Graph Search

Performance guarantees of forward and reverse greedy algorithms for minimizing nonsupermodular nonsubmodular functions on a matroid

Residential density classification for sustainable housing development using a machine learning approach

Frequency-Domain Non-intrusive Greedy Model Order Reduction Based on Minimal Rational Approximation

Actuator Placement under Structural Controllability using Forward and Reverse Greedy Algorithms

MATHICSE Technical Report : Frequency-domain non-intrusive greedy Model Order Reduction based on minimal rational approximation

A continuum approximation approach to the depot location problem in a crowd-shipping system

A comment on performance guarantees of a greedy algorithm for minimizing a supermodular set function on comatroid

Pareto-like sequential sampling heuristic for global optimisation

Online Contention Resolution Schemes With Applications To Bayesian Selection Problems

Learning to Play Sequential Games versus Unknown Opponents