课题基金 / 基金详情

Collaborative Research: AF: Medium: Fundamental Challenges in Optimization

Collaborative Research: AF: Medium: Fundamental Challenges in Optimization
合作研究:AF:中:优化中的基本挑战
批准号:
2105772
负责人:
Yin Tat Lee
金额:
$14.93万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2021
资助国家:
美国
项目状态:
未结题
起止时间:
2021-07-01 至 2025-06-30

项目摘要

项目成果

Yin Tat Lee的其他基金

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
Efficient Optimization is the bedrock of modern computation. Progress over the last century has led to powerful techniques to solve problems from myriad applications. The complexity of basic questions such as solving linear systems, linear programs and integer programs is at the core of the theory of algorithms. The goal of this project is to advance the field by addressing challenging problems on the frontier of efficient optimization. New algorithms for the problems considered would be of direct interest to many disciplines in science and engineering. The project includes a research workshop targeted at junior researchers, as well as a video tutorial course by the team of investigators on contemporary techniques in optimization. Research findings from the project are being incorporated into courses on “Continuous Algorithms”, “Spectral Algorithms” and “Integer and Linear Programming”. Course content and software resulting from the project is being made publicly available.The focus problems of this project range from continuous to discrete: (1) sparse general Linear Systems, (2) sparse Linear Programs and p-norm minimization, (3) using Semi-definite Programs for efficient low-rank approximation to combinatorial optimization problems, (4) advancing the continuous approach to discrete optimization and (5) resolving the complexity of integer programming. Recent progress on discrete optimization has relied heavily on inspiration and analysis from continuous methods, while the solution of continuous optimization problems often uses graph theory. It is anticipated that new techniques bridging this spectrum, and of broad, general applicability, will be developed. The connections to operations research, numerical analysis, stochastic processes (including various types of diffusion), homotopy methods, graph theory, geometric properties of convexity and the theory of lattices are being enhanced.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.
期刊论文(6)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1145/3406325.3451056
发表时间: 2020-11
期刊: Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing
影响因子: --
作者: [Sally Dong;Y. Lee;Guanghao Ye]
通讯作者: Sally Dong;Y. Lee;Guanghao Ye
A Simple Framework for Finding Balanced Sparse Cuts via APSP
通过 APSP 寻找平衡稀疏割的简单框架
DOI: --
发表时间: 2023
期刊: 2023 Symposium on Simplicity in Algorithms (SOSA
影响因子: --
作者: [Chen, Li, Kyng, Rasmus, Probst Gutenberg, Maximilian, Sachdeva, Sushant]
通讯作者: Sachdeva, Sushant
Determinant Maximization via Matroid Intersection Algorithms
通过拟阵交集算法实现行列式最大化
DOI: --
发表时间: 2022
期刊: Annual Symposium on Foundations of Computer Science
影响因子: --
作者: [Brown, A, Laddha, A., Pittu, M., Singh, M., Tetali, P.]
通讯作者: Tetali, P.
Nested Dissection Meets IPMs: Planar Min-Cost Flow in Nearly-Linear Time
嵌套剖析与 IPM 的结合:近线性时间内的平面最小成本流
DOI: 10.1137/1.9781611977073.7
发表时间: 2022
期刊: Proceedings of the 2022 Annual ACM-SIAM Symposium on Discrete Algorithms (SODA
影响因子: --
作者: [Dong, Sally, Gao, Yu, Goranci, Gramoz, Lee, Yin Tat, Peng, Richard, Sachdeva, Sushant, Ye Guanghao]
通讯作者: Ye Guanghao
6
    CAREER: The Interplay between Combinatorial Optimization and Algorithmic Convex Geometry
    • 批准号:
      1749609
    • 项目类别:
      Continuing Grant
    • 资助金额:
      $50.0万
    • 财政年份:
      2018
    • 负责人:
      Yin Tat Lee
    • 依托单位:
    TRIPODS+X: RES: Collaborative Research: Scaling Up Descriptive Epidemiology and Metabolic Network Models via Faster Sampling
    • 批准号:
      1839116
    • 项目类别:
      Standard Grant
    • 资助金额:
      $47.94万
    • 财政年份:
      2018
    • 负责人:
      Yin Tat Lee
    • 依托单位:
    国内基金
    海外基金
    Research on Quantum Field Theory without a Lagrangian Description
    • 批准号:
      24ZR1403900
    • 项目类别:
      省市级项目
    • 资助金额:
      --
    • 批准年份:
      2024
    • 负责人:
      SATOSHI NAWATA
    • 依托单位:
    Cell Research
    Cell Research
    Cell Research (细胞研究)