TY  - JOUR
AU  - Jovic, Aleksandar
AU  - Marinković, Boban
PY  - 2022
UR  - http://TechnoRep.tmf.bg.ac.rs/handle/123456789/5009
AB  - In this paper, vector continuous-time programming problems with inequality type of constraints are considered. All the results are obtained under convexity assumptions. The main tool employed in the derivation of the zero order optimality conditions is a new version of theorem of the alternative in functional spaces. To apply the alternative theorem, a certain regularity condition must be satisfied. No differentiability assumption is imposed.
T2  - Optimization
T1  - New optimality criteria for convex continuous-time problems of vector optimization
EP  - 4570
IS  - 15
SP  - 4555
VL  - 71
DO  - 10.1080/02331934.2021.1950152
ER  - 

@article{
author = "Jovic, Aleksandar and Marinković, Boban",
year = "2022",
abstract = "In this paper, vector continuous-time programming problems with inequality type of constraints are considered. All the results are obtained under convexity assumptions. The main tool employed in the derivation of the zero order optimality conditions is a new version of theorem of the alternative in functional spaces. To apply the alternative theorem, a certain regularity condition must be satisfied. No differentiability assumption is imposed.",
journal = "Optimization",
title = "New optimality criteria for convex continuous-time problems of vector optimization",
pages = "4570-4555",
number = "15",
volume = "71",
doi = "10.1080/02331934.2021.1950152"
}

Jovic, A.,& Marinković, B.. (2022). New optimality criteria for convex continuous-time problems of vector optimization. in Optimization, 71(15), 4555-4570.
https://doi.org/10.1080/02331934.2021.1950152

Jovic A, Marinković B. New optimality criteria for convex continuous-time problems of vector optimization. in Optimization. 2022;71(15):4555-4570.
doi:10.1080/02331934.2021.1950152 .

Jovic, Aleksandar, Marinković, Boban, "New optimality criteria for convex continuous-time problems of vector optimization" in Optimization, 71, no. 15 (2022):4555-4570,
https://doi.org/10.1080/02331934.2021.1950152 . .

TY  - JOUR
AU  - Jović, Aleksandar
AU  - Marinković, Boban
PY  - 2022
UR  - http://TechnoRep.tmf.bg.ac.rs/handle/123456789/5284
AB  - In this paper, convex continuous-time programming problem with inequality type of constraints is considered. We derive new saddle point optimality conditions and classical duality results such as weak and strong duality properties, under additional regularity assumption. A fundamental tool, employed in the derivation of the necessary saddle point optimality criteria and strong duality result for convex continuous-time programming, is a new version of a theorem of the alternative in infinite-dimensional spaces.
PB  - Department of Mathematics, Faculty of Science and Mathematics, University of Niš
T2  - Filomat
T1  - Saddle Point Optimality Criteria and Duality for Convex Continuous-Time Programming Problem
EP  - 3808
IS  - 11
SP  - 3797
VL  - 36
DO  - 10.2298/FIL2211797J
ER  - 

@article{
author = "Jović, Aleksandar and Marinković, Boban",
year = "2022",
abstract = "In this paper, convex continuous-time programming problem with inequality type of constraints is considered. We derive new saddle point optimality conditions and classical duality results such as weak and strong duality properties, under additional regularity assumption. A fundamental tool, employed in the derivation of the necessary saddle point optimality criteria and strong duality result for convex continuous-time programming, is a new version of a theorem of the alternative in infinite-dimensional spaces.",
publisher = "Department of Mathematics, Faculty of Science and Mathematics, University of Niš",
journal = "Filomat",
title = "Saddle Point Optimality Criteria and Duality for Convex Continuous-Time Programming Problem",
pages = "3808-3797",
number = "11",
volume = "36",
doi = "10.2298/FIL2211797J"
}

Jović, A.,& Marinković, B.. (2022). Saddle Point Optimality Criteria and Duality for Convex Continuous-Time Programming Problem. in Filomat
Department of Mathematics, Faculty of Science and Mathematics, University of Niš., 36(11), 3797-3808.
https://doi.org/10.2298/FIL2211797J

Jović A, Marinković B. Saddle Point Optimality Criteria and Duality for Convex Continuous-Time Programming Problem. in Filomat. 2022;36(11):3797-3808.
doi:10.2298/FIL2211797J .

Jović, Aleksandar, Marinković, Boban, "Saddle Point Optimality Criteria and Duality for Convex Continuous-Time Programming Problem" in Filomat, 36, no. 11 (2022):3797-3808,
https://doi.org/10.2298/FIL2211797J . .

TY  - JOUR
AU  - Arutyunov, Aram V.
AU  - Zhukovskiy, Sergey E.
AU  - Marinković, Boban
PY  - 2019
UR  - http://TechnoRep.tmf.bg.ac.rs/handle/123456789/4192
AB  - Systems of convex inequalities in function spaces are considered. Solvability conditions are obtained in the form of a theorem of the alternative. We revisit some results from the literature where such theorems are incorrect. We present counterexamples concerning these results and by introducing some regularity conditions we obtain new theorems which are dedicated to solvability of systems of convex inequalities.
PB  - Springer, Dordrecht
T2  - Set-Valued and Variational Analysis
T1  - Theorems of the Alternative for Systems of Convex Inequalities
EP  - 70
IS  - 1
SP  - 51
VL  - 27
DO  - 10.1007/s11228-017-0406-y
ER  - 

@article{
author = "Arutyunov, Aram V. and Zhukovskiy, Sergey E. and Marinković, Boban",
year = "2019",
abstract = "Systems of convex inequalities in function spaces are considered. Solvability conditions are obtained in the form of a theorem of the alternative. We revisit some results from the literature where such theorems are incorrect. We present counterexamples concerning these results and by introducing some regularity conditions we obtain new theorems which are dedicated to solvability of systems of convex inequalities.",
publisher = "Springer, Dordrecht",
journal = "Set-Valued and Variational Analysis",
title = "Theorems of the Alternative for Systems of Convex Inequalities",
pages = "70-51",
number = "1",
volume = "27",
doi = "10.1007/s11228-017-0406-y"
}

Arutyunov, A. V., Zhukovskiy, S. E.,& Marinković, B.. (2019). Theorems of the Alternative for Systems of Convex Inequalities. in Set-Valued and Variational Analysis
Springer, Dordrecht., 27(1), 51-70.
https://doi.org/10.1007/s11228-017-0406-y

Arutyunov AV, Zhukovskiy SE, Marinković B. Theorems of the Alternative for Systems of Convex Inequalities. in Set-Valued and Variational Analysis. 2019;27(1):51-70.
doi:10.1007/s11228-017-0406-y .

Arutyunov, Aram V., Zhukovskiy, Sergey E., Marinković, Boban, "Theorems of the Alternative for Systems of Convex Inequalities" in Set-Valued and Variational Analysis, 27, no. 1 (2019):51-70,
https://doi.org/10.1007/s11228-017-0406-y . .

TY  - JOUR
AU  - Kostić, Srdan
AU  - Vasović, Nebojša
AU  - Marinković, Boban
PY  - 2017
UR  - http://TechnoRep.tmf.bg.ac.rs/handle/123456789/3690
AB  - A new approach is proposed for the robust optimization of concrete strength estimation using response surface methodology and Monte Carlo simulation. The essence of the suggested procedure lies in the reliable prediction of concrete strength as a simple function of unit mass, water/cement ratio, age and superplasticizer content. The derived model provides sufficiently accurate results for the calibration and verification phases, the latter of which is conducted using data that were not used for model development. The results of additional analysis indicate that residuals in the calibration and verification stages have a normal distribution. Is its also shown that the uncertainty of estimated coefficient values has a statistically insignificant effect on concrete strength, confirming the reliability of the proposed model. Moreover, analysis of the effect of laboratory measurement errors indicates the robustness of concrete compressive strength against the variation in measured parameter values.
PB  - Taylor & Francis Ltd, Abingdon
T2  - Engineering Optimization
T1  - Robust optimization of concrete strength estimation using response surface methodology and Monte Carlo simulation
EP  - 877
IS  - 5
SP  - 864
VL  - 49
DO  - 10.1080/0305215X.2016.1211432
ER  - 

@article{
author = "Kostić, Srdan and Vasović, Nebojša and Marinković, Boban",
year = "2017",
abstract = "A new approach is proposed for the robust optimization of concrete strength estimation using response surface methodology and Monte Carlo simulation. The essence of the suggested procedure lies in the reliable prediction of concrete strength as a simple function of unit mass, water/cement ratio, age and superplasticizer content. The derived model provides sufficiently accurate results for the calibration and verification phases, the latter of which is conducted using data that were not used for model development. The results of additional analysis indicate that residuals in the calibration and verification stages have a normal distribution. Is its also shown that the uncertainty of estimated coefficient values has a statistically insignificant effect on concrete strength, confirming the reliability of the proposed model. Moreover, analysis of the effect of laboratory measurement errors indicates the robustness of concrete compressive strength against the variation in measured parameter values.",
publisher = "Taylor & Francis Ltd, Abingdon",
journal = "Engineering Optimization",
title = "Robust optimization of concrete strength estimation using response surface methodology and Monte Carlo simulation",
pages = "877-864",
number = "5",
volume = "49",
doi = "10.1080/0305215X.2016.1211432"
}

Kostić, S., Vasović, N.,& Marinković, B.. (2017). Robust optimization of concrete strength estimation using response surface methodology and Monte Carlo simulation. in Engineering Optimization
Taylor & Francis Ltd, Abingdon., 49(5), 864-877.
https://doi.org/10.1080/0305215X.2016.1211432

Kostić S, Vasović N, Marinković B. Robust optimization of concrete strength estimation using response surface methodology and Monte Carlo simulation. in Engineering Optimization. 2017;49(5):864-877.
doi:10.1080/0305215X.2016.1211432 .

Kostić, Srdan, Vasović, Nebojša, Marinković, Boban, "Robust optimization of concrete strength estimation using response surface methodology and Monte Carlo simulation" in Engineering Optimization, 49, no. 5 (2017):864-877,
https://doi.org/10.1080/0305215X.2016.1211432 . .