Parameterized Complexity of Kidney Exchange Revisited

Authors: Úrsula Hébert-Johnson, Daniel Lokshtanov, Chinmay Sonar, Vaishali Surianarayanan

IJCAI 2024 | Conference PDF | Archive PDF | Plain Text | LLM Run Details

Reproducibility Variable Result LLM Response
Research Type Theoretical We show that Kidney Exchange is FPT parameterized by the number of vertex types. On the other hand, we show W[1]-hardness with respect to ω. We also design a randomized 4tn O(1)-time algorithm parameterized by t, the number of patients helped, significantly improving upon the previous state of the art, which was 161tn O(1).
Researcher Affiliation Academia Ursula H ebert-Johnson, Daniel Lokshtanov, Chinmay Sonar and Vaishali Surianarayanan UC Santa Barbara {ursula, daniello, csonar, vaishali}@ucsb.edu
Pseudocode No The paper describes algorithms conceptually and refers to existing algorithms (e.g., 'reduce the problem to an ILP', 'randomized algorithm'), but does not include any explicit pseudocode blocks or algorithm listings.
Open Source Code No The paper does not provide any statement or link indicating the availability of open-source code for the described methodology.
Open Datasets No The paper is theoretical and focuses on algorithm design and complexity analysis; it does not describe experiments using a dataset for training.
Dataset Splits No The paper is theoretical and does not describe any empirical experiments, thus no dataset validation splits are provided.
Hardware Specification No The paper is theoretical and does not describe any experiments, therefore no hardware specifications are provided.
Software Dependencies No The paper is theoretical and does not describe any experiments with specific software dependencies or versions.
Experiment Setup No The paper is theoretical and does not describe any experiments, therefore no experimental setup details like hyperparameters or training configurations are provided.