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Mathematical Programming Computation (MPC)

Publisher :

Springer Nature

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Peer reviewed only
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Open Access
  • Mathematics
  • Computer Science
  • Software
e-ISSN :

1867-2957

Issue Frequency :

Quarterly

Impact Factor :

6.3

p-ISSN :

1867-2949

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 - 1867-2949, E-ISSN - 1867-2957, Established in - 2009, Impact Factor - 6.3

Not Provide Crossref DOI

Indexed in Scopus, WoS

Not indexed in DOAJ, PubMed, UGC CARE

Indexing

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