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CfP special issue of LMCS on Continuity, Computability, Constructivity

Deadline: Monday 1 April 2019

After a year of successful work in the EU-MSCA-RISE project "Computing with Infinite Data" (CID) and an excellent Workshop "Continuity, Computability, Constructivity: From Logic to Algorithms 2018" (CCC 2018) in Faro (Portugal) in September this year, we are planning to publish a collection of papers dedicated to the meeting and to the project as a Special Issue in the open-access journal "Logical Methods in Computer Science" (LMSC).

The issue should reflect progress made in Computable Analysis and related areas, and is not restricted to work in the CID project or presented at the Workshop.

Submissions are welcome from all scientists on topics in the entire spectrum from logic to algorithms including, but not limited to:

  • Exact real number computation,
  • Correctness of algorithms on infinite data,
  • Computable analysis,
  • Complexity of real numbers, real-valued functions, etc.
  • Effective descriptive set theory,
  • Constructive topological foundations,
  • Scott's domain theory,
  • Constructive analysis,
  • Category-theoretic approaches to computation on infinite data,
  • Weihrauch degrees,
  • Randomness and computable measure theory,
  • Other related areas.

EDITORS:

  • Daniel Graça (Faro, Portugal)
  • Mathieu Hoyrup (Nancy, France)
  • Dieter Spreen (Siegen, Germany)
  • Hideki Tsuiki (Kyoto, Japan)
  • Martin Ziegler (KAIST, Korea, Republic of)

DEADLINE FOR SUBMISSION: 1 May 2019

If you intend to submit a paper for the special issue, please inform us by sending email to: by 1 April 2019. You will then receive concrete submission instructions and a Special-Issue-Code allowing you to submit your paper.

Please prepare your manuscript using the LMCS class file lmcs.cls which can be downloaded from https://lmcs.episciences.org/public/lmcs.cls.

Submissions will be reviewed according to the usual high standards of LMCS.

Please note that this newsitem has been archived, and may contain outdated information or links.