\documentclass[11pt]{article} \usepackage{chao} \usepackage{natbib} \title{Approximation Algorithms for Sparsest Cut} \author{Class 4. \zh{丛宇}, 202411081537\\ Major: Theoretical Computer Science} \date{} \DeclareMathOperator*{\opt}{OPT} \DeclareMathOperator*{\len}{len} \def\scut{\textsc{Sparsest Cut}} \def\nonuscut{\textsc{Non-Uniform Sparsest Cut}} \begin{document} \maketitle \paragraph{Research problem} What is the best possible approximation rate of linear programming based approximation algorithms for \scut? What about algorithms for planar graphs? \section{Introduction} % Requirement: The introduction may have the following parts: % Establishing the importance (Background), % literature review (previous research contributions) % Gap/the specific problem % The present study (the research topic, the research purpose ) % The information should be presented in coherent paragraphs. \section{Literature Review} % Requirement: summarize previous research contributions and identify the gap or the specific problem \section{The Research Design} % Requirement : Your research design may include exact details of your design and the information should be presented in coherent paragraphs: % Example: % Research type: e.g. qualitative study, using primary data % Sources and other important details % Research methods: e.g. Questionnaire surveys and interviews % Possible difficulties/ problems or issues worth considering % Data analysis (the specific data analysis method) % e.g. Using SPSS to analyze the survey data and Using NVivo to analyze the interview data (details of the method and reasons for the choice) % The significance/ implications of the study \section{Time Table} % Data collection: e.g. During the program and first 6 months after the program (Aug. 2023- May. 2024) % Data analysis: June 2024- Sept. 2024 \scut{} and \nonuscut{} \citep{chalermsook_approximating_2024} \bibliographystyle{plainnat} \bibliography{ref} \end{document}