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Selected Algorithmic Papers From CSR 2020

Special Issue Information

Dear Colleagues,

The 15th International Computer Science Symposium in Russia (CSR) is an annual international conference held in Russia that is designed to cover a broad range of topics in Theoretical Computer Science. Further details can be found here: https://csr2020.sciencesconf.org/

A number of extended conference papers regarding algorithms will be invited to this special issue of Algorithms journal to be published in Open Access form.

Prof. Dr. Henning Fernau
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Algorithms is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • algorithms and data structures
  • computational complexity, including hardness of approximation and parameterized complexity
  • randomness in computing, approximation algorithms, fixed-parameter algorithms
  • combinatorial optimization, constraint satisfaction, operations research
  • computational geometry
  • string algorithms
  • computational biology
  • distributed computing
  • fundamentals of machine learning, including learning theory, grammatical inference and neural computing
  • quantum computing and quantum cryptography
  • algorithmic aspects of big data

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Algorithms - ISSN 1999-4893
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