Interpreter-Based Approach to Generalized Matrix inversion. - Predrag S. Stanimirovic (Sci. Ann. Cuza Univ., 1998)

Limit representations of generalized inverses and related methods. - Predrag S. Stanimirovic (Appl. Math. Comput., 1999)

Two direct methods in linear programming. - Nebojsa V. Stojkovic; Predrag S. Stanimirovic (Eur. J. Oper. Res., 2001)

A finite algorithm for generalized inverses of polynomial and rational matrices. - Predrag S. Stanimirovic (Appl. Math. Comput., 2003)

A problem in computation of pseudoinverses. - Predrag S. Stanimirovic; Milan B. Tasic (Appl. Math. Comput., 2003)

Partitioning method for rational and polynomial matrices. - Predrag S. Stanimirovic; Milan B. Tasic (Appl. Math. Comput., 2004)

Reverse polish notation method. - Predrag V. Krtolica; Predrag S. Stanimirovic (Int. J. Comput. Math., 2004)

Stabilization of Mehrotra's primal-dual algorithm and its implementation. - Predrag S. Stanimirovic; Nebojsa V. Stojkovic; Vera V. Kovacevic-Vujcic (Eur. J. Oper. Res., 2005)

Symbolic computation of the Moore-Penrose inverse using a partitioning method. - Marko D. Petkovic; Predrag S. Stanimirovic (Int. J. Comput. Math., 2005)

Computing generalized inverse of polynomial matrices by interpolation. - Predrag S. Stanimirovic; Marko D. Petkovic (Appl. Math. Comput., 2006)

Interpolation algorithm of Leverrier-Faddev type for polynomial matrices. - Marko D. Petkovic; Predrag S. Stanimirovic (Numer. Algorithms, 2006)

Symbolic computation of weighted Moore-Penrose inverse using partitioning method. - Milan B. Tasic; Predrag S. Stanimirovic; Marko D. Petkovic (Appl. Math. Comput., 2007)

Successive matrix squaring algorithm for computing outer inverses. - Predrag S. Stanimirovic; Dragana S. Cvetkovic-Ilic (Appl. Math. Comput., 2008)

Symbolic and recursive computation of different types of generalized inverses. - Milan B. Tasic; Predrag S. Stanimirovic (Appl. Math. Comput., 2008)

Effective partitioning method for computing weighted Moore-Penrose inverse. - Marko D. Petkovic; Predrag S. Stanimirovic; Milan B. Tasic (Comput. Math. Appl., 2008)

A generalization of Fibonacci and Lucas matrices. - Predrag S. Stanimirovic; Jovana Nikolov; Ivan P. Stanimirovic (Discret. Appl. Math., 2008)

Computing generalized inverses using LU factorization of matrix product. - Predrag S. Stanimirovic; Milan B. Tasic (Int. J. Comput. Math., 2008)

Catalan matrix and related combinatorial identities. - Stefan Stanimirovic; Predrag S. Stanimirovic; Marko Miladinovic; Aleksandar Ilic (Appl. Math. Comput., 2009)

Extensions of Faddeev's algorithms to polynomial matrices. - Predrag S. Stanimirovic; Milan B. Tasic; Ky M. Vu (Appl. Math. Comput., 2009)

Modification and implementation of two-phase simplex method. - Nebojsa V. Stojkovic; Predrag S. Stanimirovic; Marko D. Petkovic (Int. J. Comput. Math., 2009)

Differentiation of generalized inverses for rational and polynomial matrices. - Milan B. Tasic; Predrag S. Stanimirovic (Appl. Math. Comput., 2010)

About the generalized LM-inverse and the weighted Moore-Penrose inverse. - Milan B. Tasic; Predrag S. Stanimirovic; Selver H. Pepic (Appl. Math. Comput., 2010)

Symbolic implementation of interior point method for linear programming problem. - Predrag S. Stanimirovic; Nebojsa V. Stojkovic; Ivan M. Jovanovic (Int. J. Comput. Math., 2010)

Accelerated gradient descent methods with line search. - Predrag S. Stanimirovic; Marko Miladinovic (Numer. Algorithms, 2010)

Comments on some recent results concerning {2, 3} and {2, 4}-generalized inverses. - Dragana S. Cvetkovic-Ilic; Predrag S. Stanimirovic; Marko Miladinovic (Appl. Math. Comput., 2011)

Modified SMS method for computing outer inverses of Toeplitz matrices. - Marko Miladinovic; Sladjana Miljkovic; Predrag S. Stanimirovic (Appl. Math. Comput., 2011)

Effective partitioning method for computing generalized inverses and their gradients. - Marko D. Petkovic; Milan B. Tasic; Predrag S. Stanimirovic (Appl. Math. Comput., 2011)

Full-rank representations of {2, 4}, {2, 3}-inverses and successive matrix squaring algorithm. - Predrag S. Stanimirovic; Dragana S. Cvetkovic-Ilic; Sladjana Miljkovic; Marko Miladinovic (Appl. Math. Comput., 2011)

Inversion of the generalized Fibonacci matrix by convolution. - Predrag S. Stanimirovic; Marko Miladinovic (Int. J. Comput. Math., 2011)

Computation of generalized inverses using PHP/MySQL environment. - Milan B. Tasic; Predrag S. Stanimirovic; Selver H. Pepic (Int. J. Comput. Math., 2011)

Iterative method for computing the Moore-Penrose inverse based on Penrose equations. - Marko D. Petkovic; Predrag S. Stanimirovic (J. Comput. Appl. Math., 2011)

Scalar Correction Method for Solving Large Scale Unconstrained Minimization Problems. - Marko Miladinovic; Predrag S. Stanimirovic; Sladjana Miljkovic (J. Optim. Theory Appl., 2011)

Full-rank representations of outer inverses based on the QR decomposition. - Predrag S. Stanimirovic; Dimitrios Pappas; Vasilios N. Katsikis; Ivan P. Stanimirovic (Appl. Math. Comput., 2012)

Ballot matrix as Catalan matrix power and related identities. - Stefan Stanimirovic; Predrag S. Stanimirovic; Aleksandar Ilic (Discret. Appl. Math., 2012)

An Approach to the Multi-facility Weber Problem with Special Metrics. - Lev Kazakovtsev; Predrag S. Stanimirovic (EMS, 2013)

Scalar correction method for finding least-squares solutions on Hilbert spaces and its applications. - Sladjana Miljkovic; Marko Miladinovic; Predrag S. Stanimirovic; Dragan S. Dordevic (Appl. Math. Comput., 2013)

An accelerated iterative method for computing weighted Moore-Penrose inverse. - Fazlollah Soleymani; Predrag S. Stanimirovic; Malik Zaka Ullah (Appl. Math. Comput., 2013)

Gauss-Jordan elimination method for computing outer inverses. - Predrag S. Stanimirovic; Marko D. Petkovic (Appl. Math. Comput., 2013)

Application of the partitioning method to specific Toeplitz matrices. - Predrag S. Stanimirovic; Marko Miladinovic; Igor Stojanovic; Sladjana Miljkovic (Int. J. Appl. Math. Comput. Sci., 2013)

Gradient methods for computing the Drazin-inverse solution. - Sladjana Miljkovic; Marko Miladinovic; Predrag S. Stanimirovic; Yimin Wei 001 (J. Comput. Appl. Math., 2013)

Algorithms for Location Problems Based on Angular Distances. - Lev Kazakovtsev; Predrag S. Stanimirovic; Idowu Ademola Osinuga; Mikhail N. Gudyma; Alexander Antamoshkin (Adv. Oper. Res., 2014)

A note on the stability of a pth order iteration for finding generalized inverses. - Fazlollah Soleymani; Predrag S. Stanimirovic (Appl. Math. Lett., 2014)

Decomposition of Catalan numbers and convex polygon triangulations. - Predrag S. Stanimirovic; Predrag V. Krtolica; Muzafer H. Saracevic; Sead H. Masovic (Int. J. Comput. Math., 2014)

Two improvements of the iterative method for computing Moore-Penrose inverse based on Penrose equations. - Marko D. Petkovic; Predrag S. Stanimirovic (J. Comput. Appl. Math., 2014)

A class of numerical algorithms for computing outer inverses. - Predrag S. Stanimirovic; Fazlollah Soleymani (J. Comput. Appl. Math., 2014)

Some Matrix Iterations for Computing Generalized Inverses and Balancing Chemical Equations. - Farahnaz Soleimani; Predrag S. Stanimirovic; Fazlollah Soleymani (Algorithms, 2015)

Representations and computations of {2, 3 } and {2, 4 }-inverses in indefinite inner product spaces. - Milos Z. Petrovic; Predrag S. Stanimirovic (Appl. Math. Comput., 2015)

Recurrent Neural Network Approach Based on the Integral Representation of the Drazin Inverse. - Predrag S. Stanimirovic; Ivan S. Zivkovic; Yimin Wei 001 (Neural Comput., 2015)

Recurrent Neural Network for Computing the Drazin Inverse. - Predrag S. Stanimirovic; Ivan S. Zivkovic; Yimin Wei 001 (IEEE Trans. Neural Networks Learn. Syst., 2015)

Computing {2, 4} and {2, 3}-inverses by using the Sherman-Morrison formula. - Predrag S. Stanimirovic; Vasilios N. Katsikis; Dimitrios Pappas (Appl. Math. Comput., 2016)

Neural network for computing pseudoinverses and outer inverses of complex-valued matrices. - Youshen Xia; Songchuan Zhang; Predrag S. Stanimirovic (Appl. Math. Comput., 2016)

Computing outer inverses by scaled matrix iterations. - Predrag S. Stanimirovic; Fazlollah Soleymani; F. Khaksar Haghani (J. Comput. Appl. Math., 2016)

Complex Neural Network Models for Time-Varying Drazin Inverse. - Xuezhong Wang; Yimin Wei 001; Predrag S. Stanimirovic (Neural Comput., 2016)

Recurrent Neural Network for Computing Outer Inverse. - Ivan S. Zivkovic; Predrag S. Stanimirovic; Yimin Wei 001 (Neural Comput., 2016)

Recurrent neural network for computing the W-weighted Drazin inverse. - Xuezhong Wang; Haifeng Ma; Predrag S. Stanimirovic (Appl. Math. Comput., 2017)

Conditions for Existence, Representations, and Computation of Matrix Generalized Inverses. - Predrag S. Stanimirovic; Miroslav Ciric 001; Igor Stojanovic; Dimitrios Gerontitis (Complex., 2017)

Nonlinearly Activated Recurrent Neural Network for Computing the Drazin Inverse. - Xuezhong Wang; Haifeng Ma; Predrag S. Stanimirovic (Neural Process. Lett., 2017)

Model-Free Optimization Using Eagle Perching Optimizer. - Ameer Tamoor Khan; Shuai Li 002; Predrag S. Stanimirovic; Yinyan Zhang (CoRR, 2018)

An improved chaotic firefly algorithm for global numerical optimization. - Ivona Brajevic; Predrag S. Stanimirovic (Int. J. Comput. Intell. Syst., 2018)

Modified discrete iterations for computing the inverse and pseudoinverse of the time-varying matrix. - Marko D. Petkovic; Predrag S. Stanimirovic; Vasilios N. Katsikis (Neurocomputing, 2018)

Hybrid GNN-ZNN models for solving linear matrix equations. - Predrag S. Stanimirovic; Vasilios N. Katsikis; Shuai Li 002 (Neurocomputing, 2018)

Gradient neural dynamics for solving matrix equations and their applications. - Predrag S. Stanimirovic; Marko D. Petkovic (Neurocomputing, 2018)

Complex ZFs for computing time-varying complex outer inverses. - Xuezhong Wang; Predrag S. Stanimirovic; Yimin Wei 001 (Neurocomputing, 2018)

From Zhang Neural Network to scaled hyperpower iterations. - Predrag S. Stanimirovic; Shwetabh Srivastava; Dharmendra Kumar Gupta (J. Comput. Appl. Math., 2018)

New Hybrid Conjugate Gradient and Broyden-Fletcher-Goldfarb-Shanno Conjugate Gradient Methods. - Predrag S. Stanimirovic; Branislav Ivanov; Snezana S. Ðordevic; Ivona Brajevic (J. Optim. Theory Appl., 2018)

Gradient Neural Network with Nonlinear Activation for Computing Inner Inverses and the Drazin Inverse. - Predrag S. Stanimirovic; Marko D. Petkovic; Dimitrios Gerontitis (Neural Process. Lett., 2018)

Zeroing Neural Network Based on the Equation AXA = A. - Marko D. Petkovic; Predrag S. Stanimirovic (CAI, 2019)

An Application of Computer Algebra and Dynamical Systems. - Predrag S. Stanimirovic; Yimin Wei 001; Dejan Kolundzija; Juan Rafael Sendra; Juana Sendra (CAI, 2019)

Characterizations, approximation and perturbations of the core-EP inverse. - Haifeng Ma; Predrag S. Stanimirovic (Appl. Math. Comput., 2019)

An improved algorithm for basis pursuit problem and its applications. - Tanay Saha; Shwetabh Srivastava; Swanand R. Khare; Predrag S. Stanimirovic; Marko D. Petkovic (Appl. Math. Comput., 2019)

Inversion and pseudoinversion of block arrowhead matrices. - Predrag S. Stanimirovic; Vasilios N. Katsikis; Dejan Kolundzija (Appl. Math. Comput., 2019)

Perturbation theory for Moore-Penrose inverse of tensor via Einstein product. - Haifeng Ma; Na Li; Predrag S. Stanimirovic; Vasilios N. Katsikis (Comput. Appl. Math., 2019)

Integration enhanced and noise tolerant ZNN for computing various expressions involving outer inverses. - Predrag S. Stanimirovic; Vasilios N. Katsikis; Shuai Li 002 (Neurocomputing, 2019)

Improved GNN Models for Constant Matrix Inversion. - Predrag S. Stanimirovic; Marko D. Petkovic (Neural Process. Lett., 2019)

Optimal Portfolio Management for Engineering Problems Using Nonconvex Cardinality Constraint: A Computing Perspective. - Ameer Hamza Khan; Xinwei Cao; Vasilios N. Katsikis; Predrag S. Stanimirovic; Ivona Brajevic; Shuai Li 002; Seifedine Nimer Kadry; Yunyoung Nam (IEEE Access, 2020)

Time-varying minimum-cost portfolio insurance under transaction costs problem via Beetle Antennae Search Algorithm (BAS). - Vasilios N. Katsikis; Spyridon D. Mourtas; Predrag S. Stanimirovic; Shuai Li 002; Xinwei Cao (Appl. Math. Comput., 2020)

Characterizations, iterative method, sign pattern and perturbation analysis for the DMP inverse with its applications. - Haifeng Ma; Xiaoshuang Gao; Predrag S. Stanimirovic (Appl. Math. Comput., 2020)

Computing the Moore-Penrose inverse using its error bounds. - Predrag S. Stanimirovic; Falguni Roy; Dharmendra Kumar Gupta; Shwetabh Srivastava (Appl. Math. Comput., 2020)

Solvability of some constrained matrix approximation problems using core-EP inverses. - Dijana Mosic; Predrag S. Stanimirovic; Vasilios N. Katsikis (Comput. Appl. Math., 2020)

Computation of outer inverses of tensors using the QR decomposition. - Jajati Keshari Sahoo; Ratikanta Behera; Predrag S. Stanimirovic; Vasilios N. Katsikis (Comput. Appl. Math., 2020)

Core and core-EP inverses of tensors. - Jajati Keshari Sahoo; Ratikanta Behera; Predrag S. Stanimirovic; Vasilios N. Katsikis; Haifeng Ma (Comput. Appl. Math., 2020)

New Perspective on the Conventional Solutions of the Nonlinear Time-Fractional Partial Differential Equations. - Hijaz Ahmad; Ali Akgül; Tufail A. Khan; Predrag S. Stanimirovic; Yu-Ming Chu 001 (Complex., 2020)

Modified Variational Iteration Algorithm-II: Convergence and Applications to Diffusion Models. - Hijaz Ahmad; Tufail A. Khan; Predrag S. Stanimirovic; Yu-Ming Chu 001; Imtiaz Ahmad (Complex., 2020)

A Hybrid Firefly and Multi-Strategy Artificial Bee Colony Algorithm. - Ivona Brajevic; Predrag S. Stanimirovic; Shuai Li 002; Xinwei Cao (Int. J. Comput. Intell. Syst., 2020)

Higher-Order ZNN Dynamics. - Predrag S. Stanimirovic; Vasilios N. Katsikis; Shuai Li 002 (Neural Process. Lett., 2020)

Complex Varying-Parameter Zhang Neural Networks for Computing Core and Core-EP Inverse. - Mengmeng Zhou; Jianlong Chen; Predrag S. Stanimirovic; Vasilios N. Katsikis; Haifeng Ma (Neural Process. Lett., 2020)

Varying-parameter Zhang neural network for approximating some expressions involving outer inverses. - Predrag S. Stanimirovic; Vasilios N. Katsikis; Zhijun Zhang 003; Shuai Li 002; Jianlong Chen; Mengmeng Zhou (Optim. Methods Softw., 2020)

A Novel Extension of the TOPSIS Method Adapted for the Use of Single-Valued Neutrosophic Sets and Hamming Distance for E-Commerce Development Strategies Selection. - Darjan Karabasevic; Dragisa Stanujkic; Edmundas Kazimieras Zavadskas; Predrag S. Stanimirovic; Gabrijela Popovic; Bratislav Predic; Alptekin Ulutas (Symmetry, 2020)

Analysis and Application of Modified ZNN Design With Robustness Against Harmonic Noise. - Dongsheng Guo 001; Shuai Li 002; Predrag S. Stanimirovic (IEEE Trans. Ind. Informatics, 2020)

Sign pattern, usability, representations and perturbation for the core-EP and weighted core-EP inverse. - Haifeng Ma; Predrag S. Stanimirovic; Dijana Mosic; Ivan I. Kyrchei (Appl. Math. Comput., 2021)

Representations for the weak group inverse. - Dijana Mosic; Predrag S. Stanimirovic (Appl. Math. Comput., 2021)

Weighted composite outer inverses. - Dijana Mosic; Predrag S. Stanimirovic; Vasilios N. Katsikis (Appl. Math. Comput., 2021)

Representations and symbolic computation of generalized inverses over fields. - Predrag S. Stanimirovic; Miroslav Ciric 001; Alberto Lastra; Juan Rafael Sendra; Juana Sendra (Appl. Math. Comput., 2021)

Properties and computation of continuous-time solutions to linear systems. - Predrag S. Stanimirovic; Vasilios N. Katsikis; Long Jin 001; Dijana Mosic (Appl. Math. Comput., 2021)

An Innovative Grey Approach for Group Multi-Criteria Decision Analysis Based on the Median of Ratings by Using Python. - Dragisa Stanujkic; Darjan Karabasevic; Gabrijela Popovic; Predrag S. Stanimirovic; Florentin Smarandache; Muzafer Saracevic; Alptekin Ulutas; Vasilios N. Katsikis (Axioms, 2021)

Comparative Analysis of the Simple WISP and Some Prominent MCDM Methods: A Python Approach. - Dragisa Stanujkic; Darjan Karabasevic; Gabrijela Popovic; Edmundas Kazimieras Zavadskas; Muzafer Saracevic; Predrag S. Stanimirovic; Alptekin Ulutas; Vasilios N. Katsikis; Ieva Meidute-Kavaliauskiene (Axioms, 2021)

Design and analysis of recurrent neural network models with non-linear activation functions for solving time-varying quadratic programming problems. - Xiaoyan Zhang; Liangming Chen; Shuai Li 002; Predrag S. Stanimirovic; Jiliang Zhang 001; Long Jin 001 (CAAI Trans. Intell. Technol., 2021)

MPD-DMP-solutions to quaternion two-sided restricted matrix equations. - Ivan I. Kyrchei; Dijana Mosic; Predrag S. Stanimirovic (Comput. Appl. Math., 2021)

Solving the time-varying tensor square root equation by varying-parameters finite-time Zhang neural network. - Changxin Mo; Dimitrios Gerontitis; Predrag S. Stanimirovic (Neurocomputing, 2021)

Accelerated convergent zeroing neurodynamics models for solving multi-linear systems with M-tensors. - Shuqiao Wang; Long Jin 001; Xiujuan Du; Predrag S. Stanimirovic (Neurocomputing, 2021)

One-sided weighted outer inverses of tensors. - Dijana Mosic; Predrag S. Stanimirovic; Jajati Keshari Sahoo; Ratikanta Behera; Vasilios N. Katsikis (J. Comput. Appl. Math., 2021)

Simulation of Varying Parameter Recurrent Neural Network with application to matrix inversion. - Predrag S. Stanimirovic; Dimitrios Gerontitis; Panagiotis Tzekis; Ratikanta Behera; Jajati Keshari Sahoo (Math. Comput. Simul., 2021)

Continuous-Time Varying Complex QR Decomposition via Zeroing Neural Dynamics. - Vasilios N. Katsikis; Spyridon D. Mourtas; Predrag S. Stanimirovic; Yunong Zhang (Neural Process. Lett., 2021)

A New Varying-Parameter Design Formula for Solving Time-Varying Problems. - Predrag S. Stanimirovic; Vasilios N. Katsikis; Dimitrios Gerontitis (Neural Process. Lett., 2021)

Accelerated multiple step-size methods for solving unconstrained optimization problems. - Branislav Ivanov; Predrag S. Stanimirovic; Gradimir V. Milovanovic; Snezana Djordjevic; Ivona Brajevic (Optim. Methods Softw., 2021)

Time-Varying Mean-Variance Portfolio Selection under Transaction Costs and Cardinality Constraint Problem via Beetle Antennae Search Algorithm (BAS). - Vasilios N. Katsikis; Spyridon D. Mourtas; Predrag S. Stanimirovic; Shuai Li 002; Xinwei Cao (Oper. Res. Forum, 2021)

Representations and properties for the MPCEP inverse. - Dijana Mosic; Ivan I. Kyrchei; Predrag S. Stanimirovic (J. Appl. Math. Comput., 2021)

Calculating the Moore-Penrose Generalized Inverse on Massively Parallel Systems. - Vukasin Stanojevic; Lev Kazakovtsev; Predrag S. Stanimirovic; Natalya Rezova; Guzel Sh. Shkaberina (Algorithms, 2022)

Expressions and properties of weak core inverse. - Dijana Mosic; Predrag S. Stanimirovic (Appl. Math. Comput., 2022)

Generalizations of composite inverses with certain image and/or kernel. - Predrag S. Stanimirovic; Dijana Mosic; Yimin Wei 001 (Appl. Math. Comput., 2022)

Exact solutions and convergence of gradient based dynamical systems for computing outer inverses. - Predrag S. Stanimirovic; Marko D. Petkovic; Dijana Mosic (Appl. Math. Comput., 2022)

Time-varying mean-variance portfolio selection problem solving via LVI-PDNN. - Vasilios N. Katsikis; Spyridon D. Mourtas; Predrag S. Stanimirovic; Shuai Li 002; Xinwei Cao (Comput. Oper. Res., 2022)

Non-linear Activated Beetle Antennae Search: A novel technique for non-convex tax-aware portfolio optimization problem. - Ameer Tamoor Khan; Xinwei Cao; Ivona Brajevic; Predrag S. Stanimirovic; Vasilios N. Katsikis; Shuai Li 002 (Expert Syst. Appl., 2022)

Fraud detection in publicly traded U.S firms using Beetle Antennae Search: A machine learning approach. - Ameer Tamoor Khan; Xinwei Cao; Shuai Li 002; Vasilios N. Katsikis; Ivona Brajevic; Predrag S. Stanimirovic (Expert Syst. Appl., 2022)

A robust noise tolerant zeroing neural network for solving time-varying linear matrix equations. - Dimitrios Gerontitis; Ratikanta Behera; Yang Shi 003; Predrag S. Stanimirovic (Neurocomputing, 2022)

An improved DV-Hop algorithm for wireless sensor networks based on neural dynamics. - Jingping Liu; Mei Liu; Xiujuan Du; Predrag S. Stanimirovic; Long Jin 001 (Neurocomputing, 2022)

A Single Valued Neutrosophic Extension of the Simple WISP Method. - Dragisa Stanujkic; Darjan Karabasevic; Gabrijela Popovic; Florentin Smarandache; Predrag S. Stanimirovic; Muzafer Saracevic; Vasilios N. Katsikis (Informatica, 2022)

A higher-order zeroing neural network for pseudoinversion of an arbitrary time-varying matrix with applications to mobile object localization. - Theodore E. Simos; Vasilios N. Katsikis; Spyridon D. Mourtas; Predrag S. Stanimirovic; Dimitrios Gerontitis (Inf. Sci., 2022)

A family of varying-parameter finite-time zeroing neural networks for solving time-varying Sylvester equation and its application. - Dimitrios Gerontitis; Ratikanta Behera; Panagiotis Tzekis; Predrag S. Stanimirovic (J. Comput. Appl. Math., 2022)

Finite-time convergent zeroing neural network for solving time-varying algebraic Riccati equations. - Theodore E. Simos; Vasilios N. Katsikis; Spyridon D. Mourtas; Predrag S. Stanimirovic (J. Frankl. Inst., 2022)

Unique non-negative definite solution of the time-varying algebraic Riccati equations with applications to stabilization of LTV systems. - Theodore E. Simos; Vasilios N. Katsikis; Spyridon D. Mourtas; Predrag S. Stanimirovic (Math. Comput. Simul., 2022)

Formation of Fuzzy Patterns in Logical Analysis of Data Using a Multi-Criteria Genetic Algorithm. - Igor S. Masich; Margarita A. Kulachenko; Predrag S. Stanimirovic; Aleksey M. Popov; Elena M. Tovbis; Alena A. Stupina; Lev A. Kazakovtsev (Symmetry, 2022)

Zeroing Neural Network With Fuzzy Parameter for Computing Pseudoinverse of Arbitrary Matrix. - Vasilios N. Katsikis; Predrag S. Stanimirovic; Spyridon D. Mourtas; Lin Xiao 002; Darjan Karabasevic; Dragisa Stanujkic (IEEE Trans. Fuzzy Syst., 2022)

Solving Complex-Valued Time-Varying Linear Matrix Equations via QR Decomposition With Applications to Robotic Motion Tracking and on Angle-of-Arrival Localization. - Vasilios N. Katsikis; Spyridon D. Mourtas; Predrag S. Stanimirovic; Yunong Zhang (IEEE Trans. Neural Networks Learn. Syst., 2022)

Properties of the CMP inverse and its computation. - Dijana Mosic; Predrag S. Stanimirovic; Vasilios N. Katsikis (Comput. Appl. Math., 2022)

Descent Derivative-Free Method Involving Symmetric Rank-One Update for Solving Convex Constrained Nonlinear Monotone Equations and Application to Image Recovery. - Aliyu Muhammed Awwal; Adamu Ishaku; Abubakar Sani Halilu; Predrag S. Stanimirovic; Nuttapol Pakkaranang; Bancha Panyanak (Symmetry, 2022)

Time-varying minimum-cost portfolio insurance problem via an adaptive fuzzy-power LVI-PDNN. - Vasilios N. Katsikis; Spyridon D. Mourtas; Predrag S. Stanimirovic; Shuai Li 002; Xinwei Cao (Appl. Math. Comput., 2023)

Perturbation Bounds for the Group Inverse and its Oblique Projection. - Haifeng Ma; Dijana Mosic; Predrag S. Stanimirovic (Appl. Math. Comput., 2023)

Computing Tensor Generalized bilateral inverses. - Ratikanta Behera; Jajati Keshari Sahoo; Predrag S. Stanimirovic; Alena A. Stupina; Artem Stupin (CoRR, 2023)

Characterizations of Weighted Generalized Inverses. - Bibekananda Sitha; Ratikanta Behera; Jajati Keshari Sahoo; Ram N. Mohapatra; Predrag S. Stanimirovic (CoRR, 2023)

Improvement of Unconstrained Optimization Methods Based on Symmetry Involved in Neutrosophy. - Predrag S. Stanimirovic; Branislav Ivanov; Dragisa Stanujkic; Vasilios N. Katsikis; Spyridon D. Mourtas; Lev A. Kazakovtsev; Seyyed Ahmad Edalatpanah (Symmetry, 2023)

Fuzzy Adaptive Parameter in the Dai-Liao Optimization Method Based on Neutrosophy. - Predrag S. Stanimirovic; Branislav Ivanov; Dragisa Stanujkic; Lev A. Kazakovtsev; Vladimir N. Krutikov; Darjan Karabasevic (Symmetry, 2023)

Improved Gradient Descent Iterations for Solving Systems of Nonlinear Equations. - Predrag S. Stanimirovic; Bilall I. Shaini; Jamilu Sabi'u; Abdullah Shah; Milena J. Petrovic; Branislav Ivanov; Xinwei Cao; Alena A. Stupina; Shuai Li 002 (Algorithms, 2023)

Accelerated Dai-Liao projection method for solving systems of monotone nonlinear equations with application to image deblurring. - Branislav Ivanov; Gradimir V. Milovanovic; Predrag S. Stanimirovic (J. Glob. Optim., 2023)

Properties of the Quadratic Transformation of Dual Variables. - Vladimir N. Krutikov; Elena M. Tovbis; Anatoly Bykov; Predrag S. Stanimirovic; Ekaterina Chernova; Lev Kazakovtsev (Algorithms, 2023)

Design, analysis, and application of projected k-winner-take-all network. - Siqi Liang 003; Bo Peng; Predrag S. Stanimirovic; Long Jin 001 (Inf. Sci., 2023)

A novel extended Li zeroing neural network for matrix inversion. - Dimitrios Gerontitis; Changxin Mo; Predrag S. Stanimirovic; Panagiotis Tzekis; Vasilios N. Katsikis (Neural Comput. Appl., 2023)

Application of Generalized Inverses in the Minimum-Energy Perfect Control Theory. - Tomasz Feliks; Wojciech Przemyslaw Hunek; Predrag S. Stanimirovic (IEEE Trans. Syst. Man Cybern. Syst., 2023)

An Exploration and Exploitation-Based Metaheuristic Approach for University Course Timetabling Problems. - Rakesh P. Badoni; Jayakrushna Sahoo; Shwetabh Srivastava; Mukesh Mann; D. K. Gupta 001; Swati Verma; Predrag S. Stanimirovic; Lev A. Kazakovtsev; Darjan Karabasevic (Axioms, 2023)

An efficient zeroing neural network for solving time-varying nonlinear equations. - Ratikanta Behera; Dimitrios Gerontitis; Predrag S. Stanimirovic; Vasilios N. Katsikis; Yang Shi 003; Xinwei Cao (Neural Comput. Appl., 2023)

Convex Polygon Triangulation Based on Symmetry. - Predrag V. Krtolica; Predrag S. Stanimirovic; Sead H. Masovic; Islam A. Elshaarawy; Aljona A. Stupina (Symmetry, 2023)

Guest Editorial: Special issue on recurrent dynamic neural networks: Theory and applications. - Long Jin 001; Predrag S. Stanimirovic (CAAI Trans. Intell. Technol., 2023)

Solving Time-Varying Nonsymmetric Algebraic Riccati Equations With Zeroing Neural Dynamics. - Theodore E. Simos; Vasilios N. Katsikis; Spyridon D. Mourtas; Predrag S. Stanimirovic (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Generalized core-EP inverse for square matrices. - Bibekananda Sitha; Jajati Keshari Sahoo; Ratikanta Behera; Predrag S. Stanimirovic; Alena A. Stupina (Comput. Appl. Math., 2023)

A novel recurrent neural network based online portfolio analysis for high frequency trading. - Xinwei Cao; Adam Francis; Xujin Pu; Zenan Zhang; Vasilios N. Katsikis; Predrag S. Stanimirovic; Ivona Brajevic; Shuai Li 002 (Expert Syst. Appl., 2023)

Zeroing Neural Network Based on Neutrosophic Logic for Calculating Minimal-Norm Least-Squares Solutions to Time-Varying Linear Systems. - Vasilios N. Katsikis; Predrag S. Stanimirovic; Spyridon D. Mourtas; Lin Xiao 002; Dragisa Stanujkic; Darjan Karabasevic (Neural Process. Lett., 2023)

Neural dynamics for improving optimiser in deep learning with noise considered. - Dan Su; Predrag S. Stanimirovic; Ling Bo Han; Long Jin 001 (CAAI Trans. Intell. Technol., 2024)

Computation of tensors generalized inverses under M-product and applications. - Jajati Keshari Sahoo; Saroja Kumar Panda; Ratikanta Behera; Predrag S. Stanimirovic (CoRR, 2024)

Zeroing neural network based on the equation AXA = A. - Marko D. Petkovic; Predrag S. Stanimirovic (Inf. Comput., 2024)

New activation functions and Zhangians in zeroing neural network and applications to time-varying matrix pseudoinversion. - Yuefeng Gao; Zhichao Tang; Yuanyuan Ke; Predrag S. Stanimirovic (Math. Comput. Simul., 2024)

Application of Gradient Optimization Methods in Defining Neural Dynamics. - Predrag S. Stanimirovic; Natasa Tesic; Dimitrios Gerontitis; Gradimir V. Milovanovic; Milena J. Petrovic; Vladimir L. Kazakovtsev; Vladislav Stasiuk (Axioms, 2024)

Improved zeroing neural models based on two novel activation functions with exponential behavior. - Dimitrios Gerontitis; Changxin Mo; Predrag S. Stanimirovic; Vasilios N. Katsikis (Theor. Comput. Sci., 2024)

An extension of the MPD and MP weak group inverses. - Dijana Mosic; Daochang Zhang; Predrag S. Stanimirovic (Appl. Math. Comput., 2024)

Zeroing neural network approaches for computing time-varying minimal rank outer inverse. - Predrag S. Stanimirovic; Spyridon D. Mourtas; Dijana Mosic; Vasilios N. Katsikis; Xinwei Cao; Shuai Li 002 (Appl. Math. Comput., 2024)

Machine Learning in Quasi-Newton Methods. - Vladimir N. Krutikov; Elena M. Tovbis; Predrag S. Stanimirovic; Lev Kazakovtsev; Darjan Karabasevic (Axioms, 2024)

Minimization problem solvable by weighted m-weak group inverse. - Dijana Mosic; Predrag S. Stanimirovic; Lev A. Kazakovtsev (J. Appl. Math. Comput., 2024)

Neural Networks for Portfolio Analysis in High-Frequency Trading. - Xinwei Cao; Chen Peng; Yuhua Zheng; Shuai Li 002; Tran Thu Ha; Victor P. Shutyaev; Vasilios N. Katsikis; Predrag S. Stanimirovic (IEEE Trans. Neural Networks Learn. Syst., 2024)

Weighted Moore-Penrose inverses for dual matrices and its applications. - Haifeng Ma; Wen Wang; Predrag S. Stanimirovic (Appl. Math. Comput., 2025)

Dynamic Approaches for Finding Least Squares Solution of Time-Varying Multi-Linear Systems. - Xuezhong Wang; Predrag S. Stanimirovic; Yimin Wei 001 (IEEE Trans Autom. Sci. Eng., 2025)

Artificial Neural Dynamics for Portfolio Allocation: An Optimization Perspective. - Xinwei Cao; Yiguo Yang; Shuai Li 002; Predrag S. Stanimirovic; Vasilios N. Katsikis (IEEE Trans. Syst. Man Cybern. Syst., 2025)

An Uzawa-DOS method for solving saddle-point problems. - Ghodrat Ebadi; Khosro Mehrabi; Predrag S. Stanimirovic (Numer. Algorithms, 2025)

A Zeroing Neural Network Approach for Calculating Time-Varying G-Outer Inverse of Arbitrary Matrix. - Predrag S. Stanimirovic; Spyridon D. Mourtas; Dijana Mosic; Vasilios N. Katsikis; Xinwei Cao; Shuai Li 002 (IEEE Trans. Neural Networks Learn. Syst., 2025)

On extensions of the GD inverse of tensors via the M-product. - Hongwei Jin; Siran Chen; Shaowu Huang; Predrag S. Stanimirovic (Comput. Appl. Math., 2025)

Weak m-WG inverse. - Dijana Mosic; Mohamed Amine Aouichaoui; Predrag S. Stanimirovic (Appl. Math. Comput., 2026)