Journal of Optimization Theory and Applications

ISSN: 0022-3239

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Journal of Optimization Theory and Applications Q1 Unclaimed

Springer New York United States
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The Journal of Optimization Theory and Applications publishes carefully selected papers covering mathematical optimization techniques and their applications to science and engineering. An applications paper should cover the application of an optimization technique along with the solution of a particular problem. Typical theoretical areas in the journal include linear, nonlinear, conic, stochastic, discrete, and dynamic optimization, variational and convex analysis. Application areas comprise of mathematical economics, mathematical physics and biology, and aerospace, biomedical, chemical, civil, electrical, and mechanical engineering. Recent, emerging, and novel areas of optimization, such machine/deep learning, service systems optimization and quantum computing optimization are encouraged. The Journal of Optimization Theory and Applications journal publishes six types of contributions: regular papers, invited papers, survey papers, technical notes, book notices, and forums (very short papers containing comments on published papers, discussions of open problems, discussions of research perspectives, and so on).   97% of authors who answered a survey reported that they would definitely publish or probably publish in the journal again It has an SJR impact factor of 0,848.

Type: Journal

Type of Copyright:

Languages: English

Open Access Policy: Open Choice

Type of publications:

Publication frecuency: -

Price

2290 €

Inmediate OA

NPD

Embargoed OA

0 €

Non OA

Metrics

Journal of Optimization Theory and Applications

0,848

SJR Impact factor

98

H Index

185

Total Docs (Last Year)

572

Total Docs (3 years)

6321

Total Refs

1224

Total Cites (3 years)

560

Citable Docs (3 years)

2.1

Cites/Doc (2 years)

34.17

Ref/Doc

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