# Publications

Time-varying mean–variance portfolio selection problem solving via LVI-PDNN. Computers and Operations Research, 138, 105582. presented at the 2022. Publisher's VersionAbstract

(2022). Fraud detection in publicly traded U.S firms using Beetle Antennae Search: A machine learning approach. Expert Systems with Applications. presented at the 2021. Publisher's VersionAbstract

(2021). Multi-input bio-inspired weights and structure determination neuronet with applications in European Central Bank publications. Mathematics and Computers in Simulation. presented at the 2021. Publisher's VersionAbstract

(2021). Zeroing Neural Network with Fuzzy Parameter for Computing Pseudoinverse of Arbitrary Matrix. IEEE Transactions on Fuzzy Systems. Publisher's Version

(2021). A fuzzy WASD neuronet with application in breast cancer prediction. Neural Computing and Applications. presented at the 2021. Publisher's VersionAbstract

(2021). V-Shaped BAS: Applications on Large Portfolios Selection Problem. Computational Economics. presented at the 2021. Publisher's VersionAbstract

(2021). Time-varying Black–Litterman portfolio optimization using a bio-inspired approach and neuronets. Applied Soft Computing, 112, 107767. WebsiteAbstract

(2021). Weighted composite outer inverses. Applied Mathematics and Computation, 411, 126493. WebsiteAbstract

(2021). A New Grey Approach for Using SWARA and PIPRECIA Methods in a Group Decision-Making Environment. Mathematics, 9. Publisher's VersionAbstract

(2021). Continuous-Time Varying Complex QR Decomposition via Zeroing Neural Dynamics. Neural Processing Letters. presented at the 2021. Publisher's VersionAbstract

(2021). An Innovative Grey Approach for Group Multi-Criteria Decision Analysis Based on the Median of Ratings by Using Python. Axioms, 10. Publisher's VersionAbstract

(2021). Binary Beetle Antennae Search Algorithm for Tangency Portfolio Diversification. Journal of Modeling and Optimization, 13(1). Publisher's VersionAbstract

(2021). Portfolio Insurance and Intelligent Algorithms. In , Computational Management: Applications of Computational Intelligence in Business Management (pp. 305 - 323). presented at the 2021, Cham: Springer International Publishing. Publisher's VersionAbstract

(2021). Properties and computation of continuous-time solutions to linear systems. Applied Mathematics and Computation, 405. presented at the 2021. Publisher's VersionAbstract

(2021). Time-Varying Mean-Variance Portfolio Selection under Transaction Costs and Cardinality Constraint Problem via Beetle Antennae Search Algorithm (BAS). Operations Research Forum, 2(2), 18. presented at the 2021. Publisher's VersionAbstract

(2021). Real-Domain QR Decomposition Models Employing Zeroing Neural Network and Time-Discretization Formulas for Time-Varying Matrices. Neurocomputing. presented at the 2021. Publisher's VersionAbstract

(2021). Solving Complex-Valued Time-Varying Linear Matrix Equations via QR Decomposition With Applications to Robotic Motion Tracking and on Angle-of-Arrival Localization. IEEE Transactions on Neural Networks and Learning Systems, 1 - 10.

(2021). One-sided weighted outer inverses of tensors. Journal of Computational and Applied Mathematics. presented at the 2020. Publisher's VersionAbstract

(2020). Direct estimation of SIR model parameters through second-order finite differences. Mathematical Methods in the Applied Sciences, n/a(n/a). presented at the 2020, John Wiley & Sons, Ltd. Publisher's VersionAbstract

(2020). A New Varying-Parameter Design Formula for Solving Time-Varying Problems. Neural Processing Letters. presented at the 2020. Publisher's VersionAbstract

(2020). Randomized time-varying knapsack problems via binary beetle antennae search algorithm: Emphasis on applications in portfolio insurance. Mathematical Methods in the Applied Sciences. presented at the 2020, John Wiley & Sons, Ltd. Publisher's VersionAbstract

(2020). Solvability of some constrained matrix approximation problems using core-EP inverses. Computational and Applied Mathematics, 39(4), 311. presented at the 2020. Publisher's VersionAbstract

(2020). Optimal Portfolio Insurance under Nonlinear Transaction Costs. Journal of Modeling and Optimization, 12(2), 117-124.

(2020). Quantum Beetle Antennae Search: A Novel Technique for The Constrained Portfolio Optimization Problem. SCIENCE CHINA Information Sciences. Science China Press.

(2020). BAS-ADAM: An ADAM based approach to improve the performance of beetle antennae search optimizer. IEEE/CAA Journal of Automatica Sinica, 7, 461–471. IEEE.

(2020). Computation of outer inverses of tensors using the QR decomposition. Computational and Applied Mathematics, 39, 1–20. Springer International Publishing.

(2020). Time-varying minimum-cost portfolio insurance under transaction costs problem via Beetle Antennae Search Algorithm (BAS). Applied Mathematics and Computation, 385, 125453. Elsevier.

(2020). Varying-parameter finite-time zeroing neural network for solving linear algebraic systems. Electronics Letters, 56, 810–813. IET.

(2020). Core and core-EP inverses of tensors. Computational and Applied Mathematics, 39, 9. Springer International Publishing.

(2020). Outer and (b, c) inverses of tensors. Linear and Multilinear Algebra, 68, 940–971. Taylor & Francis.

(2020). Optimal Portfolio Management for Engineering Problems Using Nonconvex Cardinality Constraint: A Computing Perspective. IEEE Access, 8, 57437–57450. IEEE.

(2020). Complex Varying-Parameter Zhang Neural Networks for Computing Core and Core-EP Inverse. Neural Processing Letters, 1–31. Springer US.

(2019). ORPIT: A Matlab Toolbox for Option Replication and Portfolio Insurance in Incomplete Markets. Computational Economics, 1–11. Springer US.

(2019). Perturbation theory for Moore–Penrose inverse of tensor via Einstein product. Computational and Applied Mathematics, 38, 111. Springer International Publishing.

(2019). A heuristic process on the existence of positive bases with applications to minimum-cost portfolio insurance in C [a, b]. Applied Mathematics and Computation, 349, 221–244. Elsevier.

(2019). Integration enhanced and noise tolerant ZNN for computing various expressions involving outer inverses. Neurocomputing, 329, 129–143. Elsevier.

(2019). Inversion and pseudoinversion of block arrowhead matrices. Applied Mathematics and Computation, 341, 379–401. Elsevier.

(2019). Varying-parameter Zhang neural network for approximating some expressions involving outer inverses. Optimization Methods and Software, 1–27. Taylor & Francis.

(2019). A class of quadratically convergent iterative methods. Revista de la Real Academia de Ciencias Exactas, Fısicas y Naturales. Serie A. Matemáticas, 113, 3125–3146. Springer International Publishing.

(2019). Further efficient hyperpower iterative methods for the computation of generalized inverses A

(2019). _{T, S}^{(2)}. Revista de la Real Academia de Ciencias Exactas, Fısicas y Naturales. Serie A. Matemáticas, 113, 3323–3339. Springer International Publishing. (2018).

Modified discrete iterations for computing the inverse and pseudoinverse of the time-varying matrix. Neurocomputing, 289, 155–165. Elsevier.

(2018). Symbolic computation of the Duggal transform. Journal of Linear and Topological Algebra (JLTA), 7, 53–62. Central Tehran Branch, Islamic Azad University.

(2018). Computation of {2, 4} and {2, 3}-inverses based on rank-one updates. Linear and Multilinear Algebra, 66, 147–166. Taylor & Francis.

(2018). (2018). A family of iterative methods with accelerated convergence for restricted linear system of equations. Mediterranean Journal of Mathematics, 14, 222. Springer International Publishing.

(2017). Symbolic Computation of the Aluthge Transform. Mediterranean Journal of Mathematics, 14, 45. Springer International Publishing.

(2017). Minimization of quadratic forms and generalized inverses. Advances in Linear Algebra Research, 1.

(2017). Representations and properties of the W-weighted Drazin inverse. Linear and Multilinear Algebra, 65, 1080–1096. Taylor & Francis.

(2017). Signal watermarking in bi-dimensional representations using matrix factorizations. Computational and Applied Mathematics, 36, 341–357. Springer International Publishing.

(2017). Symbolic computation of the Aluthge transform.. Mediterr. J. Math.

(2017). Applied Linear Algebra in Action. InTech Publications.

(2016). Computation of replicated exercise prices by using positive bases. Filomat, 30, 2973–2984. Faculty of Sciences and Mathematics, University of Niš.

(2016). A new computational method for finding the cheapest hedge. Facta Universitatis, Series: Mathematics and Informatics, 31, 349–362.

(2016). An alternative computational method for finding the minimum-premium insurance portfolio. In AIP Conference Proceedings (Vol. 1738, pp. 480020). AIP Publishing LLC.

(2016). Computing $\{$2, 4$\}$ and $\{$2, 3$\}$-inverses by using the Sherman–Morrison formula. Applied Mathematics and Computation, 273, 584–603. Elsevier.

(2016). Computing the Pseudoinverse of Specific Toeplitz Matrices Using Rank-One Updates. Mathematical Problems in Engineering, 2016. Hindawi.

(2016). Evolutionary generation of explicit two step methods for second order linear IVPs. In AIP Conference Proceedings (Vol. 1738, pp. 480038). AIP Publishing LLC.

(2016). Outer inverse restricted by a linear system. Linear and Multilinear Algebra, 63, 2461–2493. Taylor & Francis.

(2015). Application of the least squares solutions in image deblurring. Mathematical Problems in Engineering, 2015. Hindawi.

(2015). Generalized inverse restricted by the normal Drazin equation. Linear and Multilinear Algebra, 63, 893–913. Taylor & Francis.

(2015). A new computational tool for option replication. In 13th Serbian Mathematical Congress.

(2014). Bounds for variable degree rational L∞ approximations to the matrix cosine. Computer Physics Communications, 185, 2834–2840. North-Holland.

(2014). Solving undamped unforced free oscillators by L∞ approximations to cos. In AIP Conference Proceedings (Vol. 1618, pp. 824–827). American Institute of Physics.

(2014). A Computational Study of Option Replication Based on Riesz Space Theory. Numerical Computations: Theory and Algorithms, 86.

(2013). A new characterization of markets that don't replicate any option through minimal-lattice subspaces. A computational approach.. Filomat, 27, 1357–1372. Faculty of Sciences and Mathematics, University of Niš.

(2013). MATLAB: A fundamental tool for scientific computing and engineering applications. BoD–Books on Demand.

(2012). Image reconstruction methods for MATLAB users—a Moore-Penrose inverse approach. MATLAB—A Fundamental Tool for Scientific Computing and Engineering Applications, 1.

(2012). MATLAB aided option replication. MATLAB-A Fundamental Tool for Scientific Computing and Engineering Applications, 3, 179–194.

(2012). Symbolic computation of AT, S (2)-inverses using QDR factorization. Linear Algebra and its Applications, 437, 1317–1331. North-Holland.

(2012). Full-rank representations of outer inverses based on the QR decomposition. Applied Mathematics and Computation, 218, 10321–10333. Elsevier.

(2012). Reconstruction of radar signals using the Whittaker smoother and the Moore-Penrose inverse. Applied Mathematical Sciences, 6, 1205 - 1219.

(2012). The whittaker smoother and the moore-penrose inverse in signal reconstruction. Applied Mathematical Sciences, 6, 1205–1219.

(2012). Computation of vector sublattices and minimal lattice-subspaces of Rk: Applications in finance. Applied Mathematics and Computation, 218, 6860–6873. Elsevier.

(2012). Computational methods for option replication. International Journal of Computer Mathematics, 88, 2752–2769. Taylor & Francis.

(2011). An improved method for the computation of the Moore–Penrose inverse matrix. Applied Mathematics and Computation, 217, 9828–9834. Elsevier.

(2011). The restricted weighted generalized inverse of a matrix. The Electronic Journal of Linear Algebra, 22.

(2011). Computational and Mathematical Methods in Portfolio Insurance. A MATLAB-Based Approach., Matlab-Modelling, Programming and Simulations, ISBN: 978-953-307-125-1. InTech, 2010 (Book chapter).

(2010). Digital image reconstruction in the spectral domain utilizing the Moore-Penrose inverse. Mathematical Problems in Engineering, 2010. Hindawi.

(2010). Moore-Penrose Inverse Digital Image Reconstruction in the Spectral Domain Utilizing the Volume 2010, Article ID 750352, 14 pages. Mathematical Problems in Engineering, 2010.

(2010). Computational and mathematical methods in portfolio insurance-A MATLAB-based approach. Matlab–Modelling, Programming and Simulations. InTech, Rijeka, Croatia.

(2010). Image restoration via fast computing of the Moore-Penrose inverse matrix. In 2009 16th International Conference on Systems, Signals and Image Processing (pp. 1–4). IEEE.

(2009). The Riesz Interpolation Property for the Space of Continuously Differentiable Functions. Int. J. Contemp. Math. Sciences, 4, 799–802.

(2009). Applications of the Moore-Penrose inverse in digital image restoration. Mathematical Problems in Engineering, 2009. Hindawi.

(2009). A Matlab-based rapid method for computing lattice-subspaces and vector sublattices of Rn: Applications in portfolio insurance. Applied Mathematics and Computation, 215, 961–972. Elsevier.

(2009). Additive Mappings between Directed Wedges with the Riesz Interpolation Property. Int. Journal of Math. Analysis, 2, 11-25.

(2008). Computational methods in lattice-subspaces of C [a, b] with applications in portfolio insurance. Applied Mathematics and Computation, 200, 204–219. Elsevier.

(2008). Fast computing of the Moore-Penrose inverse matrix. The Electronic Journal of Linear Algebra, 17, 637–650.

(2008). Methods on Computing Positive Bases in Finite-Dimensional Vector Sublattices. Applications in Completion of Security Markets and in the Theory of Efficient Funds.. In AIP Conference Proceedings (Vol. 1048, pp. 302–306). American Institute of Physics.

(2008). Generalized wedges and ordered spaces with the Riesz decomposition property. Nonlinear Functional Analysis and Applications.

(2007). Computational methods in portfolio insurance. Applied Mathematics and Computation, 189, 9–22. Elsevier.

(2007). Positive bases in ordered subspaces with the Riesz decomposition property. Studia Mathematica, 174, 233–253. Institute of Mathematics Polish Academy of Sciences.

(2006).