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MPC
Peer reviewed only Open Access

Mathematical Programming Computation (MPC)

Publisher : Springer Nature
Mathematics Computer Science Software
e-ISSN 1867-2957
p-ISSN 1867-2949
Issue Frequency Quarterly
Impact Factor 6.3
Est. Year 2009
Mobile 4962213450
Country Germany
Language English
APC YES
Impact Factor Assignee Google Scholar
Email jeckstei@business.rutgers.edu

Journal Descriptions

Mathematical Programming Computation (MPC) publishes original research articles advancing the state of the art of practical computation in Mathematical Optimization and closely related fields. Authors are required to submit software source code and data along with their manuscripts (while open-source software is encouraged, it is not required). Where applicable, the review process will aim for verification of reported computational results. Topics of articles include: New algorithmic techniques, with substantial computational testing New applications, with substantial computational testing Innovative software Comparative tests of algorithms Modeling environments Libraries of problem instances Software frameworks or libraries. Among the specific topics covered in MPC are linear programming, convex optimization, nonlinear optimization, stochastic optimization, integer programming, combinatorial optimization, global optimization, network algorithms, and modeling languages.

Mathematical Programming Computation (MPC) is :-

  • International, Peer-Reviewed, Open Access, Refereed, Mathematics, Computer Science, Software , Online or Print , Quarterly Journal

  • UGC Approved, ISSN Approved: P-ISSN P-ISSN: 1867-2949, E-ISSN: 1867-2957, Established: 2009, Impact Factor: 6.3
  • Does Not Provide Crossref DOI
  • Indexed in: Scopus, WoS

  • Not indexed in DOAJ, PubMed, UGC CARE

Indexing