Computational Optimization and Applications
An International Journal
This journal publishes research on the analysis and development of computational algorithms and modeling technology for optimization. It examines algorithms either for general classes of optimization problems or for more specific applied problems, stochastic algorithms as well as deterministic algorithms.
Computational Optimization and Applications covers a wide range of topics in optimization, including: large scale optimization, unconstrained optimization, constrained optimization, nondifferentiable optimization, combinatorial optimization, stochastic optimization, multiobjective optimization, and network optimization. It also covers linear programming, complexity theory, automatic differentiation, approximations and error analysis, parametric programming and sensitivity analysis, management science, and more.
This peer-reviewed journal features both research and tutorial papers that provide theoretical analysis, along with carefully designed computational experiments.
Officially cited as: Comput Optim Appl
Convergence of a Scholtes-type regularization method for cardinality-constrained optimization problems with an application in sparse robust portfolio optimization
- Journal Title
- Computational Optimization and Applications
- Volume 1 / 1993 - Volume 69 / 2018
- Print ISSN
- Online ISSN
- Springer US
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- Industry Sectors
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