ALGOUK - A Network for Algorithms and Complexity in the UK
ALGOUK - A Network for Algorithms and Complexity in the UK
批准号:
EP/R005613/1
负责人:
Iain Stewart
金额:
$13.85万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2017
资助国家:
英国
项目状态:
已结题
起止时间:
2017 至 --
中文摘要
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英文摘要
The notion of an algorithm is perhaps the key foundational concept in Computer Science, with the measurement of the resources used by algorithms and their implementations, that is, their computational complexity, central to their study and application. As the amount of available data explodes across science, technology, and society, and new potential applications emerge, never has it been so important that research in algorithmics, the science of algorithms, translates into effective implementations and that the weight of algorithmics research is brought to bear on new potential applications. Algorithmics is absolutely central within modern-day Computer Science. Research in algorithmics has two broad strands: obtaining better and better upper bounds as regards the resources used within a solution to a given problem; and proving better and better lower bounds as to the resources required for any such solution. The study of upper bounds obviously translates into practical advances; however, so can the study of lower bounds, and more generally complexity-theoretic (completeness) results, in areas such as cryptography and pseudorandomness. The real-world interface with algorithmics inspires new algorithmic analyses, when, for instance, new problems are thrown up or new practically-imposed restrictions forbid existing methodologies; in addition, complexity-theoretic completeness results for real-world problems inspire the search for new heuristic, randomized, approximate, and fixed-parameter algorithms that translate to effective practical solutions.The study of algorithmics traditionally takes place within Theoretical Computer Science although there are myriad interfaces both within Computer Science and without.However, often deep theoretical insights and advances do not rapidly percolate 'upwards' into real-world implementations and 'sideways' into other academic domains. On the other hand, algorithmic problems emerging within industry, science, and society do not always percolate 'downwards' to the theoreticians who have the tools and techniques to provide improved algorithmic solutions. Moreover, the boundary between Computer Science and other subjects is becoming ever more fluid; for instance, aspects of computation are becoming increasingly embedded in core Mathematics and new algorithmic aspects of topics such as combinatorics, probability, algebra, and topology, are rapidly emerging. In short, there are massive opportunities for research in algorithmics to be transformative across science, technology, and society. The key aim of the AlgoUK network of researchers is to facilitate multi-faceted interactions within the UK's algorithmic research community and also inter-disciplinary interactions between these researchers and those in industry and other subjects such as Mathematics, Biology, and Chemistry. The founding research groups, and hosting sites for the workshops, are at Durham, Kings College London, Leicester, Liverpool, Royal Holloway, and Warwick, but the network is open to all who wish to engage with it.
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DOI:
10.1016/j.jcss.2019.02.003
发表时间:
2019-08-01
期刊:
JOURNAL OF COMPUTER AND SYSTEM SCIENCES
影响因子:
1.1
作者:
[Akrida, Eleni C., Czyzowicz, Jurek, Spirakis, Paul G.]
通讯作者:
Spirakis, Paul G.
On the Hardness of Energy Minimisation for Crystal Structure Prediction*
关于晶体结构预测的能量最小化的难度*
DOI:
10.3233/fi-2021-2096
发表时间:
2022
期刊:
Fundamenta Informaticae
影响因子:
0.8
作者:
[Adamson D]
通讯作者:
Adamson D
DOI:
10.1016/j.jcss.2021.04.001
发表时间:
2021
期刊:
Journal of Computer and System Sciences
影响因子:
1.1
作者:
[Akrida E]
通讯作者:
Akrida E
How fast can we reach a target vertex in stochastic temporal graphs?
我们能够以多快的速度到达随机时间图中的目标顶点?
DOI:
10.1016/j.jcss.2020.05.005
发表时间:
2020
期刊:
Journal of Computer and System Sciences
影响因子:
1.1
作者:
[Akrida E]
通讯作者:
Akrida E
Interconnection Networks: Practice unites with Theory (INPUT)
-
批准号:EP/K015680/1
-
项目类别:Research Grant
-
资助金额:$45.05万
-
财政年份:2013
-
负责人:Iain Stewart
-
依托单位:
Quantified Constraints and Generalisations
-
批准号:EP/G020604/1
-
项目类别:Research Grant
-
资助金额:$31.54万
-
财政年份:2009
-
负责人:Iain Stewart
-
依托单位:
Tolerating faults in interconnection networks for parallel computing
-
批准号:EP/G010587/1
-
项目类别:Research Grant
-
资助金额:$35.07万
-
财政年份:2009
-
负责人:Iain Stewart
-
依托单位:
Finite and Algorithmic Model Theory
-
批准号:EP/D056853/1
-
项目类别:Research Grant
-
资助金额:$2.42万
-
财政年份:2006
-
负责人:Iain Stewart
-
依托单位:
国内基金
海外基金
丝氨酸/甘氨酸/一碳代谢网络(SGOC metabolic network)调控炎症性巨噬细胞活化及脓毒症病理发生的机制研究
-
批准号:81930042
-
项目类别:重点项目
-
资助金额:305.0万元
-
批准年份:2019
-
负责人:王迪
-
依托单位:
多维在线跨语言Calling Network建模及其在可信国家电子税务软件中的实证应用
-
批准号:91418205
-
项目类别:重大研究计划
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资助金额:170.0万元
-
批准年份:2014
-
负责人:郑庆华
-
依托单位:
基于Wireless Mesh Network的分布式操作系统研究
-
批准号:60673142
-
项目类别:面上项目
-
资助金额:27.0万元
-
批准年份:2006
-
负责人:罗惠琼
-
依托单位: