Hostname: page-component-cd9895bd7-mkpzs Total loading time: 0 Render date: 2024-12-26T17:49:19.704Z Has data issue: false hasContentIssue false
  • English
  • Français

Preface

Published online by Cambridge University Press:  20 June 2014

S. Aniţa ,
N. Hritonenko ,
G. Marinoschi  and
A. Swierniak
S. Aniţa
Affiliation:
Faculty of Mathematics, “Alexandru Ioan Cuza” University of Iaşi, Iaşi 700506, Romania
N. Hritonenko
Affiliation:
Department of Mathematics, Prairie View A&M University Prairie View, Texas 77446, USA
G. Marinoschi
Affiliation:
Institute of Mathematical Statistics and Applied Mathematics of the Romanian Academy Bucharest, Romania
A. Swierniak
Affiliation:
Institute of Automatic Control, PL-44-101 Gliwice, Poland
Get access

Abstract

An abstract is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content.
Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
Type
Introduction
Information
Mathematical Modelling of Natural Phenomena , Volume 9 , Issue 4: Optimal control , 2014 , pp. 1 - 5
Copyright
© EDP Sciences, 2014

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Aniţa, S.. Zero-stabilization for some diffusive models with state constraints. Math. Model. Nat. Phenom., 9 (2014), no. 3, 6–19. CrossRefGoogle Scholar
Belyakov, A. O., Veliov, V. M.. Constant versus periodic fishing: age structured optimal control approach. Math. Model. Nat. Phenom., 9 (2014), no. 3, 20–37. CrossRefGoogle Scholar
Boucekkine, R., Martinez, B., Ruiz-Tamarit, J.R.. Optimal sustainable policies under pollution ceiling: the demographic side. Math. Model. Nat. Phenom., 9 (2014), no. 3, 38–64. CrossRefGoogle Scholar
Bugariu, I.F., Micu, S.. A numerical method with singular perturbation to approximate the controls of the heat equation. Math. Model. Nat. Phenom., 9 (2014), no. 3, 65–87. CrossRefGoogle Scholar
Dimitriu, G., Lorenzi, T., Stefanescu, R.. Evolutionary dynamics and optimal control of chemotherapy in cancer cell populations under immune selection pressure. Math. Model. Nat. Phenom., 9 (2014), no. 3, 88–104. CrossRefGoogle Scholar
Grigorieva, E.V., Khailov, E.N.. Optimal vaccination, treatment, and preventive campaigns in regard to the SIR epidemic model. Math. Model. Nat. Phenom., 9 (2014), no. 3, 105–121. CrossRefGoogle Scholar
Kato, N.. Linear size-structured population models with spacial diffusion and optimal harvesting problems. Math. Model. Nat. Phenom., 9 (2014), no. 3, 122–130. CrossRefGoogle Scholar
Ledzewicz, U., Schättler, H.. A review of optimal chemotherapy protocols: from MTD towards metronomic therapy. Math. Model. Nat. Phenom., 9 (2014), no. 3, 131–152. CrossRefGoogle Scholar
Marinoschi, G.. Control approach to an ill-posed variational inequality. Math. Model. Nat. Phenom., 9 (2014), no. 3, 153–170. CrossRefGoogle Scholar
Numfor, E., Bhattacharya, S., Lenhart, S., Martcheva, M.. Optimal control in coupled within-host and between-host models. Math. Model. Nat. Phenom., 9 (2014), no. 3, 171–203. CrossRefGoogle Scholar
Poleszczuk, J., Piotrowska, M. J., Forys, U.. Optimal protocols for the anti-VEGF tumor treatment. Math. Model. Nat. Phenom., 9 (2014), no. 3, 204–215. CrossRefGoogle Scholar
Swierniak, A., Klamka, J.. Local controllability of models of combined anticancer therapy with delays in control. Math. Model. Nat. Phenom., 9 (2014), no. 3, 216–226. CrossRefGoogle Scholar
Yatsenko, Y., Hritonenko, N., Bréchet, T.. Modeling of environmental adaptation versus pollution mitigation. Math. Model. Nat. Phenom., 9 (2014), no. 3, 227–237. CrossRefGoogle Scholar