EAGER: Computer Science Research and Enrichment Program
EAGER: Computer Science Research and Enrichment Program
批准号:
1048606
负责人:
Rajiv Gandhi
金额:
$0.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2010
资助国家:
美国
项目状态:
已结题
起止时间:
2010-09-01 至 2011-08-31
中文摘要
The Computer Science Research and Enrichment Program will provide an opportunity to translate the potential of a few promising students at Rutgers University-Camden and a few students from local high schools into measurable impact. As part of this project we will work very closely with these students over the next couple of years - teaching them advanced topics in discrete mathematics/algorithms, mentoring them, and working on research projects with them. Making a concerted effort to support and guide these students will enrich them individually, and also permit them to make a greater impact through their academic and professional endeavors. The research projects that we plan to work on are related to covering problems and scheduling problems. Like many other problems, the proposed problems are intractable and no efficient algorithms to solve these problems exactly are known. Our goal is to design efficient algorithms that produce near-optimal solutions for these problems.
英文摘要
The Computer Science Research and Enrichment Program will provide an opportunity to translate the potential of a few promising students at Rutgers University-Camden and a few students from local high schools into measurable impact. As part of this project we will work very closely with these students over the next couple of years - teaching them advanced topics in discrete mathematics/algorithms, mentoring them, and working on research projects with them. Making a concerted effort to support and guide these students will enrich them individually, and also permit them to make a greater impact through their academic and professional endeavors. The research projects that we plan to work on are related to covering problems and scheduling problems. Like many other problems, the proposed problems are intractable and no efficient algorithms to solve these problems exactly are known. Our goal is to design efficient algorithms that produce near-optimal solutions for these problems.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
AF:RUI:Small:Approximation Problems with Tree Outputs Under Parameterized Constraints
-
批准号:1910565
-
项目类别:Standard Grant
-
资助金额:$33.06万
-
财政年份:2019
-
负责人:Rajiv Gandhi
-
依托单位:
Transforming Potential into Promise: A Depth-First Approach
-
批准号:1433220
-
项目类别:Standard Grant
-
资助金额:$30.0万
-
财政年份:2014
-
负责人:Rajiv Gandhi
-
依托单位:
U.S.-India International Collaborative Research and Training for Computer Science Students
-
批准号:1050968
-
项目类别:Standard Grant
-
资助金额:$4.99万
-
财政年份:2010
-
负责人:Rajiv Gandhi
-
依托单位:
RUI: Approximation Algorithms for Scheduling Problems
-
批准号:0830569
-
项目类别:Standard Grant
-
资助金额:$15.0万
-
财政年份:2008
-
负责人:Rajiv Gandhi
-
依托单位:
国内基金
海外基金
基于多重计算全息片(Computer-generated Hologram,CGH)的光学非球面干涉绝对检验方法研究
-
批准号:62375132
-
项目类别:面上项目
-
资助金额:54.00万元
-
批准年份:2023
-
负责人:马骏
-
依托单位:
Journal of Computer Science and Technology
-
批准号:61224001
-
项目类别:专项基金项目
-
资助金额:20.0万元
-
批准年份:2012
-
负责人:万晓霰
-
依托单位:
Journal of Computer Science and Technology
-
批准号:61040017
-
项目类别:专项基金项目
-
资助金额:4.0万元
-
批准年份:2010
-
负责人:万晓霰
-
依托单位: