Inexact Restoration for Runge–Kutta Discretization of Optimal Control Problems

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Kaya, C. Yalçin. “Inexact Restoration for Runge–Kutta Discretization of Optimal Control Problems”. SIAM Journal on Numerical Analysis, vol. 48, no. 4, 2010, pp. 1492-17, https://doi.org/10.1137/090766668.
Kaya, C. Y. (2010). Inexact Restoration for Runge–Kutta Discretization of Optimal Control Problems. SIAM Journal on Numerical Analysis, 48(4), 1492-1517. https://doi.org/10.1137/090766668
Kaya, C. Yalçin. “Inexact Restoration for Runge–Kutta Discretization of Optimal Control Problems”. SIAM Journal on Numerical Analysis 48, no. 4 (2010): 1492-1517. https://doi.org/10.1137/090766668.
1.
Kaya CY. Inexact Restoration for Runge–Kutta Discretization of Optimal Control Problems. SIAM Journal on Numerical Analysis. 2010;48(4):1492-517.
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Citations Analysis
Category Category Repetition
Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods23
Science: Mathematics22
Technology: Engineering (General). Civil engineering (General)12
Technology: Manufactures: Production management. Operations management9
Technology: Mechanical engineering and machinery4
Technology: Mechanical engineering and machinery: Control engineering systems. Automatic machinery (General)1
Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks1
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Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics1
Social Sciences: Statistics1
Science: Mathematics: Instruments and machines: Electronic computers. Computer science1
The category Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods 23 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Metric Regularity of Newton's Iteration and was published in 2011. The most recent citation comes from a 2024 study titled Douglas–Rachford algorithm for control- and state-constrained optimal control problems. This article reached its peak citation in 2013, with 5 citations. It has been cited in 16 different journals, 12% of which are open access. Among related journals, the Computational Optimization and Applications cited this research the most, with 5 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year