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GIG: Algorithms, Combinatorics & Optimization: An Interdisciplinary Ph.D. Program

GIG: Algorithms, Combinatorics & Optimization: An Interdisciplinary Ph.D. Program
GIG:算法、组合学
批准号:
9509581
负责人:
Egon Balas
金额:
$48.0万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
1995
资助国家:
美国
项目状态:
已结题
起止时间:
1995-08-01 至 1999-07-31

项目摘要

项目成果

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中文摘要
翻译
小行星9509581 在过去的半个世纪里,计算机在解决现代社会中出现的复杂决策问题中的应用越来越广泛,解决这些问题的方法融合了数学、计算机科学、运筹学、线性规划、可拓规划和组合优化等学科的思想。 生产、分配和配置问题通常都是以这种方式建模的。需要从所有三个学科的发展中汲取新技术来解决技术先进社会中出现的越来越大的问题。 此外,新的应用领域不断涌现。例如,最近计算分子生物学活动的激增在很大程度上依赖于离散数学来解决它抛出的棘手的测序问题。 解决这些问题所需的知识超越了现代大学的传统界限。 数学、运筹学和计算机科学系的研究人员经常发现自己在研究类似的问题。 另一方面,在这三个领域同时培养研究生的想法一直进展缓慢。卡内基梅隆大学几年前就认识到了这一点。 利用它在这三个领域的国际公认的优势,它通过建立博士学位来回应。 算法、组合学和优化。该计划的一个独特之处是,学生在开始研究之前,将在所有三个领域的基础上进行全面的基础研究。 目前,已有近30名学生参加了该项目。学生的质量非常好,第一批毕业生已经在主要的大学和研究实验室工作。该计划激励了其他机构提供类似的课程。这笔赠款将用于支持研究生,并为他们提供一个环境,使他们能够获得所有三个领域的知识和研究技能。
英文摘要
9509581 Balas The last half century has seen an increasing use of computers insolving the complex decision problems that arise in a modern society.The methods needed to solve many of these problems are a fusion of ideas from Mathematics, Computer Science and Operations Research, Linear Programming, Integer Programming and Combinatorial OptimizationTechniques are widely used in today's world. Problems of production, distribution, and allocation are routinely modeled in this way. New techniques drawing from developments in all three disciplines are needed to solve the ever larger problems that arise in a technologically advanced society. In addition, new areas of application emerge repeatedly. For example, the recent upsurge of activity in Computational Molecular Biology relies heavily on Discrete Mathematics to untangle the knotty sequencing problems that it throws up. The knowledge needed to solve such problems transcends the traditional boundaries of a modern university. Researchers in Mathematics, Operations Research and Computer Science Departments often find themselves working on similar problems. On the other hand the idea of training graduate students simultaneously in all three areas has been slow to get off the ground. Carnegie Mellon recognized this several years ago. Using it's internationally recognized strengths in all three areas it responded by setting up the Ph. D. program in Algorithms, Combinatorics and Optimization. A unique feature of the program is that students are given a thorough grounding in the foundations of all three areas before they embark on their research. Now nearly 30 students have taken part in the program. The quality of the students has been excellent and the first crop of graduates have taken up positions in major universities and research laboratories.The program has inspired other institutions to provide similar courses.The money from this grant will be used to support graduate students and to provide t hem with an environment in which they can acquire knowledge and research skills in all three areas.
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Mixed Integer Optimization: New Cut Generation Paradigms
  • 批准号:
    1560828
  • 项目类别:
    Standard Grant
  • 资助金额:
    $50.0万
  • 财政年份:
    2016
  • 负责人:
    Egon Balas
  • 依托单位:
(Mixed) Integer and Combinatorial Optimization: New Convexification Techniques
  • 批准号:
    1263239
  • 项目类别:
    Standard Grant
  • 资助金额:
    $47.5万
  • 财政年份:
    2013
  • 负责人:
    Egon Balas
  • 依托单位:
Integer and Combinatorial Optimization: Intersection Cuts from Multiple Rows
  • 批准号:
    1024554
  • 项目类别:
    Standard Grant
  • 资助金额:
    $40.09万
  • 财政年份:
    2010
  • 负责人:
    Egon Balas
  • 依托单位:
Mixed Integer and Combinatorial Optimization: Lift-and-Project and Polyhedral Combinatorics
  • 批准号:
    0653419
  • 项目类别:
    Standard Grant
  • 资助金额:
    $37.96万
  • 财政年份:
    2007
  • 负责人:
    Egon Balas
  • 依托单位:
海外基金