The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Applied Mathematical Sciences
Open accessAbstract
Generally in call centers, voice calls (say Type 1 calls) are given higher priority over e-mails (say Type 2 calls). An arriving Type 1 call has a preemptive priority over a Type 2 call in service, if any, and the preempted Type 2 call enters into a retrial buffer (of finite capacity). Any arriving call not able to get into service immediately will enter into the pool of repeated calls provided the buffer is not full; otherwise, the call is considered lost. The calls in the retrial pool are treated alike (like Type 1) and compete for service after a random amount of time, and can preempt a Type 2 call in service. We assume that the two types of calls arrive according to a Markovian arrival process (MAP) and the services are offered with preemptive priority rule. Under the assumption that the service times are exponentially distributed with possibly different rates, we analyze the model using matrix-analytic methods. Illustrative numerical examples to bring out the qualitative aspects of the model under study are presented.
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A coupling method of a homotopy technique and a perturbation technique for non-linear problems
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A review of the decomposition method in applied mathematics
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The Analytic Valuation of American Options
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High Accurate Simple Approximation of Normal Distribution Integral
Vázquez-Leal, H., Castañeda-Sheissa, R., Filobello-Nino, U. A., Sarmiento-Reyes, A., & Sánchez-Orea, J. (2012) · Mathematical Problems in Engineering · doi:10.1155/2012/124029 · Cited by 106
On solving integral equations using Markov chain Monte Carlo methods
Doucet, A., Johansen, A. M., & Tadić, V. B. (2010) · Applied Mathematics and Computation · doi:10.1016/j.amc.2010.03.138 · Cited by 45
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Discovering governing equations from data by sparse identification of nonlinear dynamical systems
Brunton, S. L., Proctor, J. L., & Kutz, J. N. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1517384113 · Cited by 4,796
Modal Analysis of Fluid Flows: An Overview
Taira, K., Brunton, S. L., Dawson, S. T. M., Rowley, C. W., Colonius, T., McKeon, B. J., Schmidt, O. T., Gordeyev, S., Theofilis, V., & Ukeiley, L. S. (2017) · AIAA Journal · doi:10.2514/1.j056060 · Cited by 1,894
NRLMSIS 2.0: A Whole‐Atmosphere Empirical Model of Temperature and Neutral Species Densities
Emmert, J. T., Drob, D. P., Picone, J. M., Siskind, D. E., Jones, M., Mlynczak, M. G., Bernath, P. F., Chu, X., Doornbos, E., Funke, B., et al. (2021) · Earth and Space Science · doi:10.1029/2020ea001321 · Cited by 479
A survey on control issues in renewable energy integration and microgrid
Badal, F. R., Das, P., Sarker, S. K., & Das, S. K. (2019) · Protection and Control of Modern Power Systems · doi:10.1186/s41601-019-0122-8 · Cited by 357
Make it stand: balancing shapes for 3D fabrication
Prévost, R., Whiting, E., Lefebvre, S., & Sorkine-Hornung, O. (2013) · ACM Transactions on Graphics · doi:10.1145/2461912.2461957 · Cited by 289
Metadata
- Venue
- Applied Mathematical Sciences
- Publisher
- Hikari, Ltd.
- Published
- 2021-12-19
- ISSN
- 1312-885X (ISSN-L)
- 1314-7552
- DOI
- 10.12988/ams
- OpenAlex
- W2182274314
- Cited by
- 2,675
- References
- 7
- Type
- paratext
- Language
- en
- Open access
- green
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