Aim & Scope
The Open Journal of Mathematical Optimization (OJMO) publishes original and high-quality articles dealing with every aspect of mathematical optimization, ranging from numerical and computational aspects to the theoretical questions related to mathematical optimization problems. The topics covered by the journal are classified into four areas: Continuous Optimization; Discrete Optimization; Optimization under Uncertainty; Computational aspects and applications. [1]
2024 - VOLUME 5
Cardinality-constrained structured data-fitting problems
Z Fan , H Fang , M Friedlander
Open Journal of Mathematical Optimization , 2024 - VOLUME 5 , pp 1-21.
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An interior proximal gradient method for nonconvex optimization
Open Journal of Mathematical Optimization , 2024 - VOLUME 5 , pp 1-22.
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F Hennings , K Hoppmann-Baum , J Zittel
Open Journal of Mathematical Optimization , 2024 - VOLUME 5 , pp 1-34.
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