AF:RUI:Small:Approximation Problems with Tree Outputs Under Parameterized Constraints
AF:RUI:Small:参数化约束下树输出的近似问题
基本信息
- 批准号:1910565
- 负责人:
- 金额:$ 33.06万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2019
- 资助国家:美国
- 起止时间:2019-10-01 至 2022-09-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Trees are among the most important and fundamental (data) structures in many areas of computer science and related fields. This project attempts to do a comprehensive study of optimization problems which search for tree outputs, with specific constraints on critical parameters. The classical Minimum Spanning Tree (MST) problem is an example of a problem in which the output required is a tree. Simple greedy algorithms that yield optimal solutions exist for the Minimum Spanning Tree problem. Unlike the minimum spanning tree problem, exact solutions for most problems that are addressed are considered intractable (in technical jargon, NP-hard). A goal in this project is to design near-optimal solutions for these problems. Another important aspect of the project is education. Training and fostering undergraduate students as well as high school students is a major emphasis of the proposed project. Guiding and mentoring these students will enrich them individually and also permit them to make a greater impact through their academic and professional endeavors. The project is focused on problems whose outputs are trees with constraints on key parameters such as degree and diameter. Typical problems considered in this project take graphs as inputs and the objective is to find trees/forests with low maximum degree and low cost or with low diameter and low cost. The problems become harder when the input graphs are directed or when more general versions of the problems are considered. Examples of such problems are the k-MST, the directed steiner tree, and the k-steiner forest problems. These problems are NP-hard and the goal of this project is to design approximation algorithms for these problems and to prove hardness results. This project will also provide tremendous research opportunities for undergraduate students as well as high school students. Early exposure to research will inspire undergraduate students to pursue academic interests and this will help strengthen the domestic PhD pipeline in computer science.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
树是计算机科学及相关领域中最重要和最基本的(数据)结构之一。这个项目试图对搜索树输出的优化问题进行全面的研究,并对关键参数进行特定的约束。经典的最小生成树(MST)问题就是所需输出为树的问题的一个例子。对于最小生成树问题,存在产生最优解的简单贪婪算法。与最小生成树问题不同,解决的大多数问题的准确解决方案被认为是难以解决的(在技术术语中,NP-Hard)。这个项目的一个目标是为这些问题设计出接近最优的解决方案。该项目的另一个重要方面是教育。培养和培养本科生和高中生是拟议项目的一个主要重点。指导和指导这些学生将丰富他们的个人,并允许他们通过他们的学术和专业努力产生更大的影响。该项目专注于其输出为树的问题,这些树对度和直径等关键参数具有约束。本课题考虑的典型问题是以图为输入,目标是寻找最大度低、成本低或直径小、成本低的树/林。当输入图是有向的或当考虑问题的更一般版本时,问题变得更加困难。这类问题的例子有k-MST、有向Steiner树和k-Steiner森林问题。这些问题是NP难的,本项目的目标是设计这些问题的近似算法,并证明其难解结果。该项目还将为本科生和高中生提供巨大的研究机会。早期接触研究将激发本科生追求学术兴趣,这将有助于加强国内计算机科学博士队伍。该奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。
项目成果
期刊论文数量(14)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
The minimum degree Group Steiner problem
最小度斯坦纳群问题
- DOI:10.1016/j.dam.2021.12.003
- 发表时间:2022
- 期刊:
- 影响因子:1.1
- 作者:Kortsarz, Guy;Nutov, Zeev
- 通讯作者:Nutov, Zeev
Approximation algorithms for connected maximum cut and related problems
连通最大割的近似算法及相关问题
- DOI:10.1016/j.tcs.2020.01.016
- 发表时间:2020
- 期刊:
- 影响因子:1.1
- 作者:Hajiaghayi, MohammadTaghi;Kortsarz, Guy;MacDavid, Robert;Purohit, Manish;Sarpatwar, Kanthi
- 通讯作者:Sarpatwar, Kanthi
Network Design under General Wireless Interference
- DOI:10.1007/s00453-021-00866-z
- 发表时间:2021-08
- 期刊:
- 影响因子:1.1
- 作者:M. Halldórsson;G. Kortsarz;Pradipta Mitra;Tigran Tonoyan
- 通讯作者:M. Halldórsson;G. Kortsarz;Pradipta Mitra;Tigran Tonoyan
Radio aggregation scheduling
无线聚合调度
- DOI:10.1016/j.tcs.2020.07.032
- 发表时间:2020
- 期刊:
- 影响因子:1.1
- 作者:Gandhi, Rajiv;Halldórsson, Magnús M.;Konrad, Christian;Kortsarz, Guy;Oh, Hoon
- 通讯作者:Oh, Hoon
Approximating Spanners and Directed Steiner Forest: Upper and Lower Bounds
近似扳手和定向斯坦纳森林:上限和下限
- DOI:10.1145/3381451
- 发表时间:2020
- 期刊:
- 影响因子:1.3
- 作者:Chlamtáč, Eden;Dinitz, Michael;Kortsarz, Guy;Laekhanukit, Bundit
- 通讯作者:Laekhanukit, Bundit
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Rajiv Gandhi其他文献
Deep learning–based clustering for endotyping and post-arthroplasty response classification using knee osteoarthritis multiomic data
基于深度学习的聚类,用于使用膝关节骨关节炎多组学数据进行内型分析和关节置换术后反应分类
- DOI:
10.1016/j.ard.2025.01.012 - 发表时间:
2025-05-01 - 期刊:
- 影响因子:20.600
- 作者:
Jason S. Rockel;Divya Sharma;Osvaldo Espin-Garcia;Katrina Hueniken;Amit Sandhu;Chiara Pastrello;Kala Sundararajan;Pratibha Potla;Noah Fine;Starlee S. Lively;Kim Perry;Nizar N. Mahomed;Khalid Syed;Igor Jurisica;Anthony V. Perruccio;Y. Raja Rampersaud;Rajiv Gandhi;Mohit Kapoor - 通讯作者:
Mohit Kapoor
AODV based adaptive distributed hybrid multipath routing for mobile AdHoc network
基于AODV的移动AdHoc网络自适应分布式混合多路径路由
- DOI:
10.1109/icicct.2017.7975230 - 发表时间:
2017 - 期刊:
- 影响因子:0
- 作者:
M. M. Goswami;Rajiv Gandhi - 通讯作者:
Rajiv Gandhi
Factors Associated with Return to Work Following Work-Related Injuries to the Lower Extremities
下肢因工受伤后重返工作岗位的相关因素
- DOI:
10.29011/2688-6413.100008 - 发表时间:
2018 - 期刊:
- 影响因子:0
- 作者:
Andrea Veljkovic;Rajiv Gandhi;P. Salat;K. Abbas;Khalid A Syed;J. Lau - 通讯作者:
J. Lau
243 - TOTAL KNEE ARTHROPLASTY VERSUS EDUCATION AND EXERCISE: COMPARING PATIENT OUTCOMES USING PROPENSITY-SCORE MATCHED DATA
- DOI:
10.1016/j.joca.2024.02.255 - 发表时间:
2024-04-01 - 期刊:
- 影响因子:
- 作者:
James J. Young;Michael G. Zywiel;Søren T. Skou;Vinod Chandran;J Rod Davey;Rajiv Gandhi;Nizar N. Mahomed;Khalid Syed;Christian J. Veillette;Y. Raja Rampersaud;Anthony V. Perruccio - 通讯作者:
Anthony V. Perruccio
Painful and Painless Diabetic Neuropathies: What Is the Difference?
- DOI:
10.1007/s11892-019-1150-5 - 发表时间:
2019-05-07 - 期刊:
- 影响因子:6.400
- 作者:
Pallai Shillo;Gordon Sloan;Marni Greig;Leanne Hunt;Dinesh Selvarajah;Jackie Elliott;Rajiv Gandhi;Iain D. Wilkinson;Solomon Tesfaye - 通讯作者:
Solomon Tesfaye
Rajiv Gandhi的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Rajiv Gandhi', 18)}}的其他基金
Transforming Potential into Promise: A Depth-First Approach
将潜力转化为承诺:深度优先的方法
- 批准号:
1433220 - 财政年份:2014
- 资助金额:
$ 33.06万 - 项目类别:
Standard Grant
U.S.-India International Collaborative Research and Training for Computer Science Students
美印计算机科学专业学生国际合作研究与培训
- 批准号:
1050968 - 财政年份:2010
- 资助金额:
$ 33.06万 - 项目类别:
Standard Grant
EAGER: Computer Science Research and Enrichment Program
EAGER:计算机科学研究和强化计划
- 批准号:
1048606 - 财政年份:2010
- 资助金额:
$ 33.06万 - 项目类别:
Standard Grant
RUI: Approximation Algorithms for Scheduling Problems
RUI:调度问题的近似算法
- 批准号:
0830569 - 财政年份:2008
- 资助金额:
$ 33.06万 - 项目类别:
Standard Grant
相似海外基金
AF: Small: RUI: Toward High-Performance Block Krylov Subspace Algorithms for Solving Large-Scale Linear Systems
AF:小:RUI:用于求解大规模线性系统的高性能块 Krylov 子空间算法
- 批准号:
2327619 - 财政年份:2023
- 资助金额:
$ 33.06万 - 项目类别:
Standard Grant
Collaborative Research: AF: Small: RUI: Data Science from Economic Foundations
合作研究:AF:小型:RUI:来自经济基础的数据科学
- 批准号:
2218814 - 财政年份:2022
- 资助金额:
$ 33.06万 - 项目类别:
Standard Grant
Collaborative Research: AF: Small: RUI: Data Science from Economic Foundations
合作研究:AF:小型:RUI:来自经济基础的数据科学
- 批准号:
2218813 - 财政年份:2022
- 资助金额:
$ 33.06万 - 项目类别:
Standard Grant
AF: Small: RUI: Towards Resolving the Dynamic Optimality Conjecture.
AF:小:RUI:解决动态最优猜想。
- 批准号:
1910873 - 财政年份:2019
- 资助金额:
$ 33.06万 - 项目类别:
Standard Grant
AF: Small: RUI: Competitive Search, Evacuation and Reconfiguration with Coordinated Mobile Agents
AF:小型:RUI:通过协调移动代理进行竞争性搜索、疏散和重新配置
- 批准号:
1813940 - 财政年份:2018
- 资助金额:
$ 33.06万 - 项目类别:
Standard Grant
AF: Small: RUI: Unifying Self-Assembly Through Tile Automata
AF:小:RUI:通过平铺自动机统一自组装
- 批准号:
1817602 - 财政年份:2018
- 资助金额:
$ 33.06万 - 项目类别:
Standard Grant
AF: Small: RUI: New Directions in Kolmogorov Complexity and Network Information Theory
AF:小:RUI:柯尔莫哥洛夫复杂性和网络信息理论的新方向
- 批准号:
1811729 - 财政年份:2018
- 资助金额:
$ 33.06万 - 项目类别:
Standard Grant
AF: Small: RUI: The model-based approach and a new kind of Cylindrical Algebraic Decomposition
AF:小:RUI:基于模型的方法和一种新型圆柱代数分解
- 批准号:
1525896 - 财政年份:2015
- 资助金额:
$ 33.06万 - 项目类别:
Interagency Agreement
AF: Small: RUI: Faster Arithmetic for Sparse Polynomials and Integers
AF:小:RUI:稀疏多项式和整数的更快算术
- 批准号:
1319994 - 财政年份:2013
- 资助金额:
$ 33.06万 - 项目类别:
Interagency Agreement
AF: Small: RUI: A new and improved algorithm for fitting RNA backbone in crystallographic data
AF:小:RUI:一种新的改进算法,用于在晶体学数据中拟合 RNA 主链
- 批准号:
1218145 - 财政年份:2012
- 资助金额:
$ 33.06万 - 项目类别:
Standard Grant














{{item.name}}会员




