Dr Predrag S. Stanimirović

Redovni profesor
Departman za računarske nauke

  • Stanimirović, Predrag S., Vasilios N. Katsikis, and Dimitrios Gerontitis. 2021. “A New Varying-Parameter Design Formula for Solving Time-Varying Problems.” Neural Processing Letters 53(1): 107–29. https://link.springer.com/article/10.1007/s11063-020-10386-6
  • Gerontitis, Dimitris, Ratikanta Behera, Jajati Keshari Sahoo, and Predrag S. Stanimirović. 2021. “Improved Finite-Time Zeroing Neural Network for Time-Varying Division.” Studies in Applied Mathematics 146(2): 526–49. https://onlinelibrary.wiley.com/doi/full/10.1111/sapm.12354
  • Kyrchei, Ivan, Dijana Mosić, and Predrag S. Stanimirović. 2021. “Solvability of New Constrained Quaternion Matrix Approximation Problems Based on Core-EP Inverses.” Advances in Applied Clifford Algebras 31(1): 1–18. https://link.springer.com/article/10.1007/s00006-020-01102-7
  • Mosić, Dijana, Ivan I. Kyrchei, and Predrag S. Stanimirović. 2021. “Representations and Properties for the MPCEP Inverse.” Journal of Applied Mathematics and Computing 67(1–2): 101–30. https://link.springer.com/article/10.1007/s12190-020-01481-x
  • Mosić, Dijana et al. 2021. “One-Sided Weighted Outer Inverses of Tensors.” Journal of Computational and Applied Mathematics 388: 113293.
  • Mosić, Dijana, and Predrag S. Stanimirović. 2021. “Representations for the Weak Group Inverse.” Applied Mathematics and Computation 397: 125957.
  • Stanimirović, Predrag et al. 2021. “Simulation of Varying Parameter Recurrent Neural Network with Application to Matrix Inversion.” Mathematics and Computers in Simulation 185: 614–28.
  • Mosić, Dijana, Predrag S. Stanimirović, and Haifeng Ma. 2021. “Generalization of Core-EP Inverse for Rectangular Matrices.” Journal of Mathematical Analysis and Applications 500(1): 125101.
  • Ma, Haifeng, Predrag S. Stanimirović, Dijana Mosić, and Ivan I. Kyrchei. 2021. “Sign Pattern, Usability, Representations and Perturbation for the Core-EP and Weighted Core-EP Inverse.” Applied Mathematics and Computation 404: 126247.
  • Stanimirović, Predrag S., Vasilios N. Katsikis, Long Jin, and Dijana Mosić. 2021. “Properties and Computation of Continuous-Time Solutions to Linear Systems.” Applied Mathematics and Computation 405: 126242.
  • Stanimirović, Predrag S. et al. 2021. “Computing Tensor Generalized Inverses via Specialization and Rationalization.” Revista de la Real Academia de Ciencias Exactas, Fisicas y Naturales - Serie A: Matematicas 115(3): 1–26. https://link.springer.com/article/10.1007/s13398-021-01057-9
  • Mo, Changxin, Dimitrios Gerontitis, and Predrag S. Stanimirović. 2021. “Solving the Time-Varying Tensor Square Root Equation by Varying-Parameters Finite-Time Zhang Neural Network.” Neurocomputing 445: 309–25.
  • Stanimirović, Predrag S. et al. 2021. “Representations and Symbolic Computation of Generalized Inverses over Fields.” Applied Mathematics and Computation 406: 126287.
  • Stanujkić, Dragiša et al. 2021. “A New Grey Approach for Using Swara and Piprecia Methods in a Group Decision‐making Environment.” Mathematics 9(13): 1–16.
  • Katsikis, Vasilios N., Spyridon D. Mourtas, Predrag S. Stanimirović, and Yunong Zhang. 2021. “Continuous-Time Varying Complex QR Decomposition via Zeroing Neural Dynamics.” Neural Processing Letters 53(5): 3573–90. https://link.springer.com/article/10.1007/s11063-021-10566-y
  • Wang, Shuqiao, Long Jin, Xiujuan Du, and Predrag S. Stanimirovi. 2021. “Accelerated Convergent Zeroing Neurodynamics Models for Solving Multi-Linear Systems with M-Tensors.” Neurocomputing 458: 271–83.
  • Kyrchei, Ivan I., Dijana Mosić, and Predrag Stanimirović. 2021. “MPD-DMP-Solutions to Quaternion Two-Sided Restricted Matrix Equations.” Computational and Applied Mathematics 2021 40:5 40(5): 1–24. https://link.springer.com/article/10.1007/s40314-021-01566-8
  • Mosić, Dijana, Predrag S. Stanimirović, and Vasilios N. Katsikis. 2021. “Weighted Composite Outer Inverses.” Applied Mathematics and Computation 411: 126493.
  • Stanujkić, Dragiša et al. 2021. “Comparative Analysis of the Simple Wisp and Some Prominent Mcdm Methods: A Python Approach.” Axioms 10(4).
  • Stanimirović, Predrag S. et al. 2021. “Representations and Geometrical Properties of Generalized Inverses over Fields.” https://doi.org/10.1080/03081087.2021.1985420. https://www.tandfonline.com/doi/abs/10.1080/03081087.2021.1985420
  • Ivanov, Branislav et al. 2021. “A Novel Value for the Parameter in the Dai-Liao-Type Conjugate Gradient Method.” Journal of Function Spaces 2021.
  • Selimović, Faruk, Predrag Stanimirović, Muzafer Saračević, and Predrag Krtolica. 2021. “Application of Delaunay Triangulation and Catalan Objects in Steganography.” Mathematics 9(11).
  • Python, Using. 2021. “An Innovative Grey Approach for Group Multi-Criteria.”
  • Brajević, Ivona, Predrag S. Stanimirović, Shuai Li, and Xinwei Cao. 2020. “A Hybrid Firefly and Multi-Strategy Artificial Bee Colony Algorithm.” International Journal of Computational Intelligence Systems 13(1): 810–21.
  • Stanimirović, Predrag S., Falguni Roy, Dharmendra K. Gupta, and Shwetabh Srivastava. 2020. “Computing the Moore-Penrose Inverse Using Its Error Bounds.” Applied Mathematics and Computation 371: 124957.
  • Ma, Haifeng, Xiaoshuang Gao, and Predrag S. Stanimirović. 2020. “Characterizations, Iterative Method, Sign Pattern and Perturbation Analysis for the DMP Inverse with Its Applications.” Applied Mathematics and Computation 378: 125196.
  • Sahoo, Jajati Keshari, Ratikanta Behera, Predrag S. Stanimirović, and Vasilios N. Katsikis. 2020. “Computation of Outer Inverses of Tensors Using the QR Decomposition.” Computational and Applied Mathematics 2020 39:3 39(3): 1–20. https://link.springer.com/article/10.1007/s40314-020-01225-4
  • Katsikis, Vasilios N. et al. 2020. “Time-Varying Minimum-Cost Portfolio Insurance under Transaction Costs Problem via Beetle Antennae Search Algorithm (BAS).” Applied Mathematics and Computation 385: 125453.
  • Gerontitis, Dimitrios et al. 2020. “Varying-Parameter Finite-Time Zeroing Neural Network for Solving Linear Algebraic Systems.” https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/el.2019.4099.
  • Ahmad, Hijaz et al. 2020. “Modified Variational Iteration Algorithm-II: Convergence and Applications to Diffusion Models.” Complexity 2020.
  • Ahmad, Hijaz et al. 2020. “New Perspective on the Conventional Solutions of the Nonlinear Time-Fractional Partial Differential Equations.” Complexity 2020.
  • Behera, Ratikanta, Dijana Mosić, Jajati Kesahri Sahoo, and Predrag S. Stanimirović. 2020. “Weighted Inner Inverse for Rectangular Matrices.” https://doi.org/10.2989/16073606.2020.1836688 45(1): 11–39. https://www.tandfonline.com/doi/abs/10.2989/16073606.2020.1836688
  • Mosić, Dijana, Predrag S. Stanimirović, and Vasilios N. Katsikis. 2020. “Solvability of Some Constrained Matrix Approximation Problems Using Core-EP Inverses.” Computational and Applied Mathematics 2020 39:4 39(4): 1–21. https://link.springer.com/article/10.1007/s40314-020-01360-y
  • Stanimirović, Predrag S. et al. 2020. “A Survey of Gradient Methods for Solving Nonlinear Optimization.” Electronic Research Archive 2020 4:1573 28(4): 1573–1624. http://www.aimspress.com/article/doi/10.3934/era.2020115
  • Ahmad, Hijaz et al. 2020. “A New Analyzing Technique for Nonlinear Time Fractional Cauchy Reaction-Diffusion Model Equations.” Results in Physics 19.
  • Ahmad, Hijaz et al. 2020. “A New Analyzing Technique for Nonlinear Time Fractional Cauchy Reaction-Diffusion Model Equations.” Results in Physics 19.
  • Selimović, Faruk et al. 2020. “Authentication Based on the Image Encryption Using Delaunay Triangulation and Catalan Objects.” Acta Polytechnica Hungarica 17(6): 207–24.
  • Ke, Yuanyuan, Jianlong Chen, Predrag Stanimirović, and Miroslav Ćirić. 2019. “Characterizations and Representations of Outer Inverse for Matrices over a Ring.” https://doi.org/10.1080/03081087.2019.1590302 69(1): 155–76. https://www.tandfonline.com/doi/abs/10.1080/03081087.2019.1590302
  • Ivanov, Branislav et al. 2019. “Accelerated Multiple Step-Size Methods for Solving Unconstrained Optimization Problems.” https://doi.org/10.1080/10556788.2019.1653868 36(5): 998–1029. https://www.tandfonline.com/doi/abs/10.1080/10556788.2019.1653868
  • Mosić, Dijana, and Predrag S. Stanimirović. 2019. “Composite Outer Inverses for Rectangular Matrices.” https://doi.org/10.2989/16073606.2019.1671526 44(1): 45–72. https://www.tandfonline.com/doi/abs/10.2989/16073606.2019.1671526
  • Ma, Haifeng, Na Li, Predrag S. Stanimirović, and Vasilios N. Katsikis. 2019. “Perturbation Theory for Moore–Penrose Inverse of Tensor via Einstein Product.” Computational and Applied Mathematics 2019 38:3 38(3): 1–24. https://link.springer.com/article/10.1007/s40314-019-0893-6
  • Stanimirović, Predrag S., Vasilios N. Katsikis, and Dejan Kolundžija. 2019. “Inversion and Pseudoinversion of Block Arrowhead Matrices.” Applied Mathematics and Computation 341: 379–401.
  • Stanimirović, Predrag S., Vasilios N. Katsikis, and Shuai Li. 2019. “Integration Enhanced and Noise Tolerant ZNN for Computing Various Expressions Involving Outer Inverses.” Neurocomputing 329: 129–43.
  • Stanimirović, Predrag S., Xue Zhong Wang, and Haifeng Ma. 2019. “Complex ZNN for Computing Time-Varying Weighted Pseudo-Inverses.” Applicable Analysis and Discrete Mathematics 13(1): 131–64.
  • Saha, Tanay et al. 2019. “An Improved Algorithm for Basis Pursuit Problem and Its Applications.” Applied Mathematics and Computation 355: 385–98.
  • Ma, Haifeng, and Predrag S. Stanimirović. 2019. “Characterizations, Approximation and Perturbations of the Core-EP Inverse.” Applied Mathematics and Computation 359: 404–17.
  • Stanimirović, Predrag S., and Marko D. Petković. 2019. “Improved GNN Models for Constant Matrix Inversion.” Neural Processing Letters 2019 50:1 50(1): 321–39. https://link.springer.com/article/10.1007/s11063-019-10025-9
  • Ivanov, Branislav et al. 2019. “Accelerated Multiple Step-Size Methods for Solving Unconstrained Optimization Problems.” https://doi.org/10.1080/10556788.2019.1653868 36(5): 998–1029. https://www.tandfonline.com/doi/abs/10.1080/10556788.2019.1653868
  • Stanimirović, Predrag S., Vasilios N. Katsikis, Shwetabh Srivastava, and Dimitrios Pappas. 2019. “A Class of Quadratically Convergent Iterative Methods.” Revista de la Real Academia de Ciencias Exactas, Físicas y Naturales. Serie A. Matemáticas 2019 113:4 113(4): 3125–46. https://link.springer.com/article/10.1007/s13398-019-00681-w
  • Stanimirović, Predrag S., Ashim Kumar, and Vasilios N. Katsikis. 2019. “Further Efficient Hyperpower Iterative Methods for the Computation of Generalized Inverses $$A_{T,S}^{(2)}$$AT,S(2).” Revista de la Real Academia de Ciencias Exactas, Físicas y Naturales. Serie A. Matemáticas 2019 113:4 113(4): 3323–39. https://link.springer.com/article/10.1007/s13398-019-00696-3
  • Stanimirović, Predrag S. et al. 2019. “An Application of Computer Algebra and Dynamical Systems.” Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 11545 LNCS: 225–36. https://link.springer.com/chapter/10.1007/978-3-030-21363-3_19
  • Zhou, Mengmeng et al. 2019. “Complex Varying-Parameter Zhang Neural Networks for Computing Core and Core-EP Inverse.” Neural Processing Letters 2019 51:2 51(2): 1299–1329. https://link.springer.com/article/10.1007/s11063-019-10141-6
  • Sahoo, Jajati Keshari et al. 2019. “Core and Core-EP Inverses of Tensors.” Computational and Applied Mathematics 2019 39:1 39(1): 1–28. https://link.springer.com/article/10.1007/s40314-019-0983-5
  • Stanimirović, Predrag S., Vasilios N. Katsikis, and Shuai Li. 2019. “Higher-Order ZNN Dynamics.” Neural Processing Letters 2019 51:1 51(1): 697–721. https://link.springer.com/article/10.1007/s11063-019-10107-8
  • Stanimirović, Predrag S. et al. 2019. “Varying-Parameter Zhang Neural Network for Approximating Some Expressions Involving Outer Inverses.” https://doi.org/10.1080/10556788.2019.1594806 35(6): 1304–30. https://www.tandfonline.com/doi/abs/10.1080/10556788.2019.1594806
  • Petković, Marko D., and Predrag S. Stanimirović. 2019. “Zeroing Neural Network Based on the Equation AXA = A.” Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 11545 LNCS: 213–24. https://ezproxy.nb.rs:2134/chapter/10.1007/978-3-030-21363-3_18
  • Brajević, Ivona, and Predrag Stanimirović. 2018. “An Improved Chaotic Firefly Algorithm for Global Numerical Optimization.” International Journal of Computational Intelligence Systems 12(1): 131–48.
  • Stanimirović, Predrag S., Shwetabh Srivastava, and D. K. Gupta. 2018. “From Zhang Neural Network to Scaled Hyperpower Iterations.” Journal of Computational and Applied Mathematics 331: 133–55.
  • Wang, Xue Zhong, Predrag S. Stanimirović, and Yimin Wei. 2018. “Complex ZFs for Computing Time-Varying Complex Outer Inverses.” Neurocomputing 275: 983–1001.
  • Petković, Marko D., Predrag S. Stanimirović, and Vasilios N. Katsikis. 2018. “Modified Discrete Iterations for Computing the Inverse and Pseudoinverse of the Time-Varying Matrix.” Neurocomputing 289: 155–65.
  • Roy, Falguni, D. K. Gupta, and Predrag S. Stanimirović. 2018. “An Interval Extension of SMS Method for Computing Weighted Moore–Penrose Inverse.” Calcolo 2018 55:2 55(2): 1–21. https://link.springer.com/article/10.1007/s10092-018-0257-4
  • Stanimirović, Predrag S., and Marko D. Petković. 2018. “Gradient Neural Dynamics for Solving Matrix Equations and Their Applications.” Neurocomputing 306: 200–212.
  • Stanimirović, Predrag S., Branislav Ivanov, Snežana Djordjević, and Ivona Brajević. 2018. “New Hybrid Conjugate Gradient and Broyden–Fletcher–Goldfarb–Shanno Conjugate Gradient Methods.” Journal of Optimization Theory and Applications 2018 178:3 178(3): 860–84. https://link.springer.com/article/10.1007/s10957-018-1324-3
  • Petrović, Milena J., Predrag S. Stanimirović, Nataša Kontrec, and Julija Mladenović. 2018. “Hybrid Modification of Accelerated Double Direction Method.” Mathematical Problems in Engineering 2018.
  • Stanimirović, Predrag S., Vasilios N. Katsikis, and Shuai Li. 2018. “Hybrid GNN-ZNN Models for Solving Linear Matrix Equations.” Neurocomputing 316: 124–34.
  • Pappas, Dimitrios, Vasilios N. Katsikis, and Predrag S. Stanimirović. 2018. “The λ-Aluthge Transform of EP Matrices.” Filomat 32(12): 4403–11.
  • Stanimirović, Predrag S. et al. 2018. “Outer and (b,c) Inverses of Tensors.” https://doi.org/10.1080/03081087.2018.1521783 68(5): 940–71. https://www.tandfonline.com/doi/abs/10.1080/03081087.2018.1521783
  • Krtolica, Predrag V. 2018. “ORBITING TRIANGLE METHOD FOR CONVEX POLYGON TRIANGULATION Sead H . Maˇ c ∗ , Islam A . Elshaarawy , Predrag S . Stanimirović C.” 12: 439–54.
  • Wang, Xue Zhong, Haifeng Ma, and Predrag S. Stanimirović. 2017. “Recurrent Neural Network for Computing the W-Weighted Drazin Inverse.” Applied Mathematics and Computation 300: 1–20.
  • Stojanović, Igor et al. 2017. “Application of Heuristic and Metaheuristic Algorithms in Solving Constrained Weber Problem with Feasible Region Bounded by Arcs.” Mathematical Problems in Engineering 2017.
  • Srivastava, Shwetabh et al. 2017. “A Hyperpower Iterative Method for Computing the Generalized Drazin Inverse of Banach Algebra Element.” Sādhanā 2017 42:5 42(5): 625–30. https://link.springer.com/article/10.1007/s12046-017-0607-y
  • Stojanović, Igor et al. 2017. “ZNN Models for Computing Matrix Inverse Based on Hyperpower Iterative Methods.” Filomat 31(10): 2999–3014.
  • Wang, Xue Zhong, Haifeng Ma, and Predrag S. Stanimirović. 2017. “Nonlinearly Activated Recurrent Neural Network for Computing the Drazin Inverse.” Neural Processing Letters 2017 46:1 46(1): 195–217. https://link.springer.com/article/10.1007/s11063-017-9581-y
  • Srivastava, Shwetabh, Predrag S. Stanimirović, Vasilios N. Katsikis, and Dharmendra K. Gupta. 2017. “A Family of Iterative Methods with Accelerated Convergence for Restricted Linear System of Equations.” Mediterranean Journal of Mathematics 2017 14:6 14(6): 1–26. https://link.springer.com/article/10.1007/s00009-017-1020-9
  • Stanimirović, Predrag S., Vasilios N. Katsikis, and Dimitrios Pappas. 2017. “Computation of {2,4} and {2,3}-Inverses Based on Rank-One Updates.” https://doi.org/10.1080/03081087.2017.1290042 66(1): 147–66. https://www.tandfonline.com/doi/abs/10.1080/03081087.2017.1290042
  • Kumar, Ashim et al. 2017. “Factorizations of Hyperpower Family of Iterative Methods via Least Squares Approach.” Computational and Applied Mathematics 2017 37:3 37(3): 3226–40. https://link.springer.com/article/10.1007/s40314-017-0507-0
  • Stanimirović, Predrag S., Marko D. Petković, and Dimitrios Gerontitis. 2017. “Gradient Neural Network with Nonlinear Activation for Computing Inner Inverses and the Drazin Inverse.” Neural Processing Letters 2017 48:1 48(1): 109–33. https://link.springer.com/article/10.1007/s11063-017-9705-4
  • Stanimirović, Predrag S., Miroslav Ćirić, Igor Stojanović, and Dimitrios Gerontitis. 2017. “Conditions for Existence, Representations, and Computation of Matrix Generalized Inverses.” Complexity 2017.
  • Živković, Ivan S., Predrag S. Stanimirović, and Yimin Wei. 2016. “Recurrent Neural Network for Computing Outer Inverse.” Neural Computation 28(5): 970–98. https://direct.mit.edu/neco/article/28/5/970/8163/Recurrent-Neural-Network-for-Computing-Outer
  • Stanimirović, Predrag S., Vasilios N. Katsikis, and Dimitrios Pappas. 2016. “Computing {2,4} and {2,3}-Inverses by Using the Sherman–Morrison Formula.” Applied Mathematics and Computation 273: 584–603.
  • Xia, Youshen, Songchuan Zhang, and Predrag S. Stanimirović. 2016. “Neural Network for Computing Pseudoinverses and Outer Inverses of Complex-Valued Matrices.” Applied Mathematics and Computation 273: 1107–21.
  • Stanimirović, Predrag S., F. Soleymani, and F. Khaksar Haghani. 2016. “Computing Outer Inverses by Scaled Matrix Iterations.” Journal of Computational and Applied Mathematics 296: 89–101.
  • Stanimirović, Predrag S., Ivan S. Živković, and Yimin Wei. 2016. “Neural Network Approach to Computing Outer Inverses Based on the Full Rank Representation.” Linear Algebra and Its Applications 501: 344–62. http://dx.doi.org/10.1016/j.laa.2016.03.035.
  • Stanimirović, Predrag S., Vasilios N. Katsikis, and Igor Stojanović. 2016. “Computing the Pseudoinverse of Specific Toeplitz Matrices Using Rank-One Updates.” Mathematical Problems in Engineering 2016.
  • Stanimirović, Predrag et al. 2016. “On Removing Blur in Images Using Least Squares Solutions.” Filomat 30(14): 3855–66.
  • Wang, Xue Zhong, Yimin Wei, and Predrag S. Stanimirović. 2016. “Complex Neural Network Models for Time-Varying Drazin Inverse.” Neural Computation 28(12): 2790–2824. https://direct.mit.edu/neco/article/28/12/2790/8217/Complex-Neural-Network-Models-for-Time-Varying
  • Stanimirović, Predrag S., Vasilios N. Katsikis, and Haifeng Ma. 2016. “Representations and Properties of the W-Weighted Drazin Inverse.” http://dx.doi.org/10.1080/03081087.2016.1228810 65(6): 1080–96. https://www.tandfonline.com/doi/abs/10.1080/03081087.2016.1228810
  • Stanimirović, Predrag S. et al. 2015. “Application of the Least Squares Solutions in Image Deblurring.” Mathematical Problems in Engineering 2015.
  • Petrović, Miloš Z., and Predrag S. Stanimirović. 2015. “Representations and Computations of {2,3∼} and {2,4∼}-Inverses in Indefinite Inner Product Spaces.” Applied Mathematics and Computation 254: 157–71.
  • Soleymani, F., Predrag S. Stanimirović, and F. Khaksar Haghani. 2015. “On Hyperpower Family of Iterations for Computing Outer Inverses Possessing High Efficiencies.” Linear Algebra and Its Applications 484: 477–95. http://dx.doi.org/10.1016/j.laa.2015.07.010.
  • Stanimirović, Predrag S., Ivan S. Živković, and Yimin Wei. 2015. “Recurrent Neural Network Approach Based on the Integral Representation of the Drazin Inverse.” Neural Computation 27(10): 2107–31. https://direct.mit.edu/neco/article/27/10/2107/8092/Recurrent-Neural-Network-Approach-Based-on-the
  • Stanimirović, Predrag S., Dimitrios Pappas, Vasilios N. Katsikis, and Marija S. Cvetković. 2015. “Outer Inverse Restricted by a Linear System.” http://dx.doi.org/10.1080/03081087.2015.1019200 63(12): 2461–93. https://www.tandfonline.com/doi/abs/10.1080/03081087.2015.1019200
  • Soleymani, F., Predrag S. Stanimirović, and Igor Stojanović. 2015. “A Novel Iterative Method for Polar Decomposition and Matrix Sign Function.” Discrete Dynamics in Nature and Society 2015.
  • Stanimirovic, Predrag S., Ivan S. Zivkovic, and Yimin Wei. 2015. “Recurrent Neural Network for Computing the Drazin Inverse.” IEEE Transactions on Neural Networks and Learning Systems 26(11): 2830–43.
  • Soleymani, F., and P. S. Stanimirović. 2014. “A Note on the Stability of a Pth Order Iteration for Finding Generalized Inverses.” Applied Mathematics Letters 28: 77–81. http://dx.doi.org/10.1016/j.aml.2013.10.004.
  • Mašović, Sead, Muzafer Saračević, and Predrag Stanimirović. 2014. “Alpha-Numeric Notation for One Data Structure in Software Engineering.” Acta Polytechnica Hungarica 11(1): 193–204.
  • Stanimirović, Predrag S., and F. Soleymani. 2014. “A Class of Numerical Algorithms for Computing Outer Inverses.” Journal of Computational and Applied Mathematics 263: 236–45. http://dx.doi.org/10.1016/j.cam.2013.12.033.
  • Soleymani, F., P. S. Stanimirović, S. Shateyi, and F. Khaksar Haghani. 2014. “Approximating the Matrix Sign Function Using a Novel Iterative Method.” Abstract and Applied Analysis 2014.
  • Petrović, Milena J., and Predrag S. Stanimirović. 2014. “Accelerated Double Direction Method for Solving Unconstrained Optimization Problems.” Mathematical Problems in Engineering 2014.
  • Stanimirović, Predrag S., Dimitrios Pappas, and Sladjana Miljković. 2014. “Minimization of Quadratic Forms Using the Drazin-Inverse Solution.” http://dx.doi.org/10.1080/03081087.2013.771639 62(2): 252–66. https://www.tandfonline.com/doi/abs/10.1080/03081087.2013.771639
  • Stanimirović, Predrag S., Dimitrios Pappas, and Vasilios N. Katsikis. 2014. “Generalized Inverse Restricted by the Normal Drazin Equation.” http://dx.doi.org/10.1080/03081087.2014.908873 63(5): 893–913. https://www.tandfonline.com/doi/abs/10.1080/03081087.2014.908873
  • Petković, Marko D., and Predrag S. Stanimirović. 2014. “Two Improvements of the Iterative Method for Computing Moore-Penrose Inverse Based on Penrose Equations.” Journal of Computational and Applied Mathematics 267: 61–71. http://dx.doi.org/10.1016/j.cam.2014.01.034.
  • Miladinović, Marko, Sladjana Miljković, and Predrag S. Stanimirović. 2014. “Minimal Properties of the Drazin-Inverse Solution of a Matrix Equation.” Filomat 28(2): 383–95.
  • Saračević, Muzafer H., Predrag S. Stanimirović, Predrag V. Krtolica, and Sead H. Mašović. 2014. “Construction and Notation of Convex Polygon Triangulation Based on Ballot Problem.” Romanian Journal of Information Science and Technology 17(3): 237–51.
  • Soleymani, F, and Predrag S Stanimirović T. 2013. “A Higher Order Iterative Method for Computing the Drazin Inverse.” 2013(1): 1–11.
  • Jovanović, Ivan, Predrag Stanimirović, and Živan Živković. 2013. “Environmental and Economic Criteria in Ranking of Copper Concentrates.” Environmental Modeling and Assessment 18(1): 73–83. https://link.springer.com/article/10.1007/s10666-012-9327-1
  • Stanimirovic̈, Predrag S., Spiros Chountasis, Dimitrios Pappas, and Igor Stojanovic̈. 2013. “Removal of Blur in Images Based on Least Squares Solutions.” Mathematical Methods in the Applied Sciences 36(17): 2280–96. https://onlinelibrary.wiley.com/doi/full/10.1002/mma.2751
  • Soleymani, F., Predrag S. Stanimirović, and Malik Zaka Ullah. 2013. “An Accelerated Iterative Method for Computing Weighted Moore–Penrose Inverse.” Applied Mathematics and Computation 222: 365–71.
  • Kazakovtsev, Lev A., and Predrag S. Stanimirović. 2013. “An Approach to the Multi-Facility Weber Problem with Special Metrics.” Proceedings - UKSim-AMSS 7th European Modelling Symposium on Computer Modelling and Simulation, EMS 2013: 119–24.
  • Petković, Marko D., and Predrag S. Stanimirović. 2013. “Block Recursive Computation of Generalized Inverses.” Electronic Journal of Linear Algebra 26(July): 394–405.
  • Stanimirović, Predrag S., and Marko D. Petković. 2013. “Gauss–Jordan Elimination Method for Computing Outer Inverses.” Applied Mathematics and Computation 219(9): 4667–79.
  • Miljković, Sladjana, Marko Miladinović, Predrag S. Stanimirović, and Dragan S. Dordević. 2013. “Scalar Correction Method for Finding Least-Squares Solutions on Hilbert Spaces and Its Applications.” Applied Mathematics and Computation 219(18): 9639–51.
  • Stanimirović, Predrag, Marko Miladinović, Igor Stojanović, and Sladjana Miljković. 2013. “Application of the Partitioning Method to Specific Toeplitz Matrices.” International Journal of Applied Mathematics and Computer Science 23(4): 809–21. https://content.sciendo.com/doi/10.2478/amcs-2013-0061
  • Miljković, Sladjana, Marko Miladinović, Predrag S. Stanimirović, and Yimin Wei. 2013. “Gradient Methods for Computing the Drazin-Inverse Solution.” Journal of Computational and Applied Mathematics 253: 255–63. http://dx.doi.org/10.1016/j.cam.2013.04.030.
  • Stanimirović, Predrag S., Predrag V. Krtolica, Muzafer H. Saračević, and Sead H. Mašović. 2013. “Decomposition of Catalan Numbers and Convex Polygon Triangulations.” http://dx.doi.org/10.1080/00207160.2013.837894 91(6): 1315–28. https://www.tandfonline.com/doi/abs/10.1080/00207160.2013.837894
  • Jovanović, Ivan M., and Predrag S. Stanimirović. 2012. “A Blending Problem in Copper Production.” Environmental Modeling & Assessment 2012 17:5 17(5): 495–503. https://link.springer.com/article/10.1007/s10666-012-9309-3
  • Stanimirović, Predrag S., and Milan Lj Zlatanovi. 2012. “Determinantal Representation of Outer Inverses in Riemannian Space.” https://doi.org/10.1142/S1005386712000740 19(SPL. ISS. 1): 877–92.
  • Miljković, Sladjana, Marko Miladinović, Predrag Stanimirović, and Igor Stojanović. 2012. “Application of the Pseudoinverse Computation in Reconstruction of Blurred Images.” Filomat 26(3): 453–65.
  • Stanimirović, Stefan, Predrag Stanimirovi, and Aleksandar Ilić. 2012. “Ballot Matrix as Catalan Matrix Power and Related Identities.” Discrete Applied Mathematics 160(3): 344–51. http://dx.doi.org/10.1016/j.dam.2011.10.016.
  • Stanimirović, Predrag S., Dimitrios Pappas, Vasilios N. Katsikis, and Ivan P. Stanimirović. 2012. “Symbolic Computation of A T, S(2) -Inverses Using QDR Factorization.” Linear Algebra and Its Applications 437(6): 1317–31.
  • Stanimirović, Predrag S., Dimitrios Pappas, Vasilios N. Katsikis, and Ivan P. Stanimirović. 2012. “Full-Rank Representations of Outer Inverses Based on the QR Decomposition.” Applied Mathematics and Computation 218(20): 10321–33.
  • Stanimirović, Predrag, Stojan Bogdanović, and Miroslav Ćirić. 2012. “Adjoint Mappings and Inverses of Matrices.” https://doi.org/10.1142/S1005386706000368 13(3): 421–32.
  • Stanimirović, Predrag S., Predrag V. Krtolica, Muzafer H. Saracevic, and Sead H. Masovic. 2012. “Block Method for Convex Polygon Triangulation.” Romanian Journal of Information Science and Technology 15(4): 344–54.
  • Stanimirovic, Predrag. 2012. “UML-Based Modeling for the MoorePenrose Inverse Computation.” Revista Metal. Internat. https://www.academia.edu/13584849/UML_Based_Modeling_for_the_MoorePenrose_inverse_computation
  • Stanimirović, Predrag S. “On the Simplex Algorithm Initializing.” 2012.
  • Petković, Marko D., and Predrag S. Stanimirović. 2011. “Iterative Method for Computing the MoorePenrose Inverse Based on Penrose Equations.” Journal of Computational and Applied Mathematics 235(6): 1604–13. http://dx.doi.org/10.1016/j.cam.2010.08.042.
  • Stanimirović, Predrag, and Marko Miladinović. 2011. “Inversion of the Generalized Fibonacci Matrix by Convolution.” http://dx.doi.org/10.1080/00207160.2010.521546 88(7): 1519–32. https://www.tandfonline.com/doi/abs/10.1080/00207160.2010.521546
  • Stanimirović, Predrag S., Dragana S. Cvetković-Ilić, Sladjana Miljković, and Marko Miladinović. 2011. “Full-Rank Representations of {2, 4}, {2, 3}-Inverses and Successive Matrix Squaring Algorithm.” Applied Mathematics and Computation 217(22): 9358–67.
  • Cvetković-Ilić, Dragana S., Predrag S. Stanimirović, and Marko Miladinović. 2011. “Comments on Some Recent Results Concerning {2, 3} and {2, 4}-Generalized Inverses.” Applied Mathematics and Computation 218(5): 1512–14.
  • Miladinović, Marko, Predrag Stanimirović, and Sladjana Miljković. 2011. “Scalar Correction Method for Solving Large Scale Unconstrained Minimization Problems.” Journal of Optimization Theory and Applications 151(2): 304–20. https://link.springer.com/article/10.1007/s10957-011-9864-9
  • Miladinović, Marko, Sladjana Miljković, and Predrag Stanimirović. 2011. “Modified SMS Method for Computing Outer Inverses of Toeplitz Matrices.” Applied Mathematics and Computation 218(7): 3131–43.
  • Miladinović, Marko, and Predrag Stanimirović. 2011. “Singular Case of Generalized Fibonacci and Lucas Matrices.” Journal of the Korean Mathematical Society 48(1): 33–48.
  • Stanimirović, Predrag, Marko Miladinović, and Ivan M. Jovanović. 2011. “Computer Algebra and Line Search.” Springer Optimization and Its Applications 42: 425–38.
  • Petković, Marko D., Milan B. Tasić, and Predrag S. Stanimirović. 2011. “Effective Partitioning Method for Computing Generalized Inverses and Their Gradients.” Applied Mathematics and Computation 217(19): 7588–98.
  • Tasić, Milan B., Predrag S. Stanimirović, and Selver H. Pepić. 2011. “Computation of Generalized Inverses Using PHP/MySQL Environment.” http://dx.doi.org/10.1080/00207160.2010.541453 88(11): 2429–46. https://www.tandfonline.com/doi/abs/10.1080/00207160.2010.541453
  • Krtolica, Predrag V., and Predrag S. Stanimirović. 2010. “Reverse Polish Notation Method.” http://dx.doi.org/10.1080/00207160410001660826 81(3): 273–84. https://www.tandfonline.com/doi/abs/10.1080/00207160410001660826
  • Stanimirović, Predrag S., Nebojsǎ V. Stojković, and Ivan M. Jovanović. 2010. “Symbolic Implementation of Interior Point Method for Linear Programming Problem.” http://dx.doi.org/10.1080/00207160902721789 87(10): 2173–87. https://www.tandfonline.com/doi/abs/10.1080/00207160902721789
  • Stanimirović, Predrag S., and Marko B. Miladinović. 2010. “Accelerated Gradient Descent Methods with Line Search.” Numerical Algorithms 54(4): 503–20. https://link.springer.com/article/10.1007/s11075-009-9350-8 (February 21, 2023).
  • Stanimirović, Predrag, and Stefan Stanimirović. 2010. “Inverting Linear Combinations of Identity and Generalized Catalan Matrices.” Linear Algebra and Its Applications 433(7): 1472–80.
  • Tasić, Milan B., Predrag S. Stanimirović, and Selver H. Pepić. 2010. “About the Generalized LM-Inverse and the Weighted Moore–Penrose Inverse.” Applied Mathematics and Computation 216(1): 114–24.
  • Tasić, Milan B., and Predrag S. Stanimirović. 2010. “Differentiation of Generalized Inverses for Rational and Polynomial Matrices.” Applied Mathematics and Computation 216(7): 2092–2106.
  • Stanimirovic, Predrag, Marko Petkovic, and Milan Zlatanovic. 2009. “Visualization in Optimization with Mathematica.” Filomat 23(2): 68–81.
  • Petković, Marko D., and Predrag S. Stanimirović. 2009. “Generalized Matrix Inversion Is Not Harder than Matrix Multiplication.” Journal of Computational and Applied Mathematics 230(1): 270–82.
  • Stojković, Nebojsa V., Predrag S. Stanimirović, and Marko D. Petković. 2009. “Modification and Implementation of Two-Phase Simplex Method.” http://dx.doi.org/10.1080/00207160701818992 86(7): 1231–42. https://www.tandfonline.com/doi/abs/10.1080/00207160701818992
  • Stanimirovic, Predrag, Marko Miladinovic, and Snezana Djordjevic. 2009. “Multiplicative Parameters in Gradient Descent Methods.” Filomat 23(3): 23–36.
  • Stanimirović, Stefan, Predrag Stanimirović, Marko Miladinović, and Aleksandar Ilić. 2009. “Catalan Matrix and Related Combinatorial Identities.” Applied Mathematics and Computation 215(2): 796–805.
  • Stanimirović, Predrag S., Milan B. Tasić, and Ky M. Vu. 2009. “Extensions of Faddeev’s Algorithms to Polynomial Matrices.” Applied Mathematics and Computation 214(1): 246–58.
  • Stanimirović, Predrag S., and Dragana S. Cvetković-Ilić. 2008. “Successive Matrix Squaring Algorithm for Computing Outer Inverses.” Applied Mathematics and Computation 203(1): 19–29.
  • Stanimirović, Predrag, Jovana Nikolov, and Ivan Stanimirović. 2008. “A Generalization of Fibonacci and Lucas Matrices.” Discrete Applied Mathematics 156(14): 2606–19.
  • Stanimirović, Predrag, and Ivan Stanimirović. 2008. “Implementation of Polynomial Multi-Objective Optimization in Mathematica.” Structural and Multidisciplinary Optimization 36(4): 411–28. https://link.springer.com/article/10.1007/s00158-007-0180-9
  • Petković, Marko D., Predrag S. Stanimirović, and Milan B. Tasić. 2008. “Effective Partitioning Method for Computing Weighted Moore-Penrose Inverse.” Computers and Mathematics with Applications 55(8): 1720–34.
  • Tasić, Milan B., and Predrag S. Stanimirović. 2008. “Symbolic and Recursive Computation of Different Types of Generalized Inverses.” Applied Mathematics and Computation 199(1): 349–67.
  • Stanimirovič, Predrag S., and Milan B. Tasič. 2008. “Computing Generalized Inverses Using LU Factorization of Matrix Product.” http://dx.doi.org/10.1080/00207160701582077 85(12): 1865–78. https://www.tandfonline.com/doi/abs/10.1080/00207160701582077
  • Petković, Marko D., and Predrag S. Stanimirović. 2007. “Interpolation Algorithm for Computing Drazin Inverse of Polynomial Matrices.” Linear Algebra and its Applications 422(2–3): 526–39.
  • Tasić, Milan B., Predrag S. Stanimirović, and Marko D. Petković. 2007. “Symbolic Computation of Weighted Moore–Penrose Inverse Using Partitioning Method.” Applied Mathematics and Computation 189(1): 615–40.
  • Djordjević, Dragan S. 2007. “Iterative Methods for Computing Generalized Inverses.” Applied Mathematics and Computation 189(1): 101–4.
  • Stanimirović, Predrag S., and Marko D. Petković. 2006. “Computing Generalized Inverse of Polynomial Matrices by Interpolation.” Applied Mathematics and Computation 172(1): 508–23.
  • Petković, Marko D., and Predrag S. Stanimirović. 2006. “Interpolation Algorithm of Leverrier-Faddev Type for Polynomial Matrices.” Numerical Algorithms 42(3–4): 345–61. https://link.springer.com/article/10.1007/s11075-006-9044-4
  • Stanimirović, Predrag S., Nebojša V. Stojković, and Vera V. Kovačević-Vujčić. 2005. “Stabilization of Mehrotra’s Primal–Dual Algorithm and Its Implementation.” European Journal of Operational Research 165(3): 598–609.
  • Djordjević, D. S., P. S. Stanimirović, and Y. Wei. 2004. “The Representation and Approximations of Outer Generalized Inverses.” Acta Mathematica Hungarica 104(1–2): 1–26. https://link.springer.com/article/10.1023/B:AMHU.0000034359.98588.7b
  • Bogdanović, S., M. Ćirić, P. Stanimirović, and T. Petković. 2004. “Linear Equations and Regularity Conditions on Semigroups.” Semigroup Forum 69(1): 63–74. https://link.springer.com/article/10.1007/s00233-004-0110-8
  • Stanimirović, Predrag S., and Milan B. Tasić. 2004. “Partitioning Method for Rational and Polynomial Matrices.” Applied Mathematics and Computation 155(1): 137–63.
  • Stanimirović, Predrag S. 2003. “A Finite Algorithm for Generalized Inverses of Polynomial and Rational Matrices.” Applied Mathematics and Computation 144(2–3): 199–214.
  • Stanimirović, Predrag S., and Milan B. Tasić. 2003. “A Problem in Computation of Pseudoinverses.” Applied Mathematics and Computation 135(2–3): 443–69.
  • Rosser, Mike. 2003. “Unconstrained Optimization.” Basic Mathematics for Economists 2015.
  • Djordjević, Dragan S., and Predrag S. Stanimirović. 2001. “Splittings of Operators and Generalized Inverses.” Publicationes Mathematicae 59(1–2): 147–59. https://www.researchgate.net/publication/228960196_Splittings_of_operators_and_generalized_inverses
  • Stojković, Nebojša V., and Predrag S. Stanimirović. 2001. “Two Direct Methods in Linear Programming.” European Journal of Operational Research 131(2): 417–39.
  • Djordjević, D.S., and P. S. Stanimirovic. 2001. “A New Type of Matrix Splitting and Its Applications.” Acta Mathematica Hungarica 2001 92:1 92(1): 121–35. https://link.springer.com/article/10.1023/A:1013712329516
  • Djordjević, Dragan S., and Predrag S. Stanimirović. 2001. “On the Generalized Drazin Inverse and Generalized Resolvent.” Czechoslovak Mathematical Journal 51(3): 617–34. https://link.springer.com/article/10.1023/A:1013792207970
  • Stanimirović, Predrag S., and Dragan S. Djordjević. 2000. “Full-Rank and Determinantal Representation of the Drazin Inverse.” Linear Algebra and Its Applications 311(1–3): 131–51.
  • “(PDF) Applications of the Groetsch Theorem.” https://www.researchgate.net/publication/235256832_Applications_of_the_Groetsch_theorem