| A modified descent Polak–Ribiére–Polyak conjugate gradient method with global convergence property for nonconvex functions Z Aminifard, S Babaie-Kafaki Calcolo 56, 1-11, 2019 | 27 | 2019 |
| Dai–Liao extensions of a descent hybrid nonlinear conjugate gradient method with application in signal processing Z Aminifard, S Babaie-Kafaki Numerical Algorithms 89 (3), 1369-1387, 2022 | 21 | 2022 |
| An optimal parameter choice for the Dai–Liao family of conjugate gradient methods by avoiding a direction of the maximum magnification by the search direction matrix Z Aminifard, S Babaie-Kafaki 4OR 17, 317-330, 2019 | 20 | 2019 |
| Two–parameter scaled memoryless BFGS methods with a nonmonotone choice for the initial step length S Babaie–Kafaki, Z Aminifard Numerical Algorithms 82 (4), 1345-1357, 2019 | 17 | 2019 |
| Two penalized mixed–integer nonlinear programming approaches to tackle multicollinearity and outliers effects in linear regression models M Roozbeh, S Babaie–Kafaki, Z Aminifard Journal of Industrial & Management Optimization 13 (5), 0, 2020 | 14 | 2020 |
| A descent extension of a modified Polak–Ribière–Polyak method with application in image restoration problem S Babaie-Kafaki, N Mirhoseini, Z Aminifard Optimization Letters 17 (2), 351-367, 2023 | 11 | 2023 |
| Improved high-dimensional regression models with matrix approximations applied to the comparative case studies with support vector machines M Roozbeh, S Babaie-Kafaki, Z Aminifard Optimization Methods and Software 37 (5), 1912-1929, 2022 | 9 | 2022 |
| Modified conjugate gradient method for solving sparse recovery problem with nonconvex penalty Z Aminifard, A Hosseini, S Babaie-Kafaki Signal Processing 193, 108424, 2022 | 9 | 2022 |
| An augmented memoryless BFGS method based on a modified secant equation with application to compressed sensing Z Aminifard, S Babaie-Kafaki, S Ghafoori Applied Numerical Mathematics 167, 187-201, 2021 | 7 | 2021 |
| A nonlinear mixed–integer programming approach for variable selection in linear regression model M Roozbeh, S Babaie–Kafaki, Z Aminifard Communications in Statistics-Simulation and Computation 52 (11), 5434-5445, 2023 | 6 | 2023 |
| Matrix analyses on the Dai–Liao conjugate gradient method Z Aminifard, S Babaie-Kafaki The ANZIAM Journal 61 (2), 195-203, 2019 | 6 | 2019 |
| Diagonally scaled memoryless quasi–Newton methods with application to compressed sensing. Z Aminifard, S Babaie-Kafaki Journal of Industrial & Management Optimization 19 (1), 2023 | 5 | 2023 |
| A nonmonotone scaled Fletcher–Reeves conjugate gradient method with application in image reconstruction N Mirhoseini, S Babaie-Kafaki, Z Aminifard Bulletin of the Malaysian Mathematical Sciences Society 45 (6), 2885-2904, 2022 | 5 | 2022 |
| A restart scheme for the Dai–Liao conjugate gradient method by ignoring a direction of maximum magnification by the search direction matrix Z Aminifard, S Babaie-Kafaki RAIRO-Operations Research 54 (4), 981-991, 2020 | 5 | 2020 |
| Nonmonotone diagonally scaled limited-memory BFGS methods with application to compressive sensing based on a penalty model S Babaie–Kafaki, Z Aminifard, S Ghafoori Applied Numerical Mathematics 181, 618-629, 2022 | 3 | 2022 |
| Modified spectral conjugate gradient methods based on the quasi–Newton aspects Z Aminifard, S Babaie–Kafaki Pacific Journal of Optimization 16 (4), 581-594, 2020 | 3 | 2020 |
| An approximate Newton-type proximal method using symmetric rank-one updating formula for minimizing the nonsmooth composite functions Z Aminifard, S Babaie-Kafaki Optimization Methods and Software 38 (3), 529-542, 2023 | 2 | 2023 |
| Improving the Dai-Liao parameter choices using a fixed point equation S Babaie Kafaki, Z Aminifard Journal of Mathematical Modeling 10 (1), 11-20, 2022 | 2 | 2022 |
| A class of CG algorithms overcoming jamming of the iterative solving process and its application in image restoration S Babaie-Kafaki, N Mirhoseini, Z Aminifard Journal of Computational and Applied Mathematics 442, 115727, 2024 | 1 | 2024 |
| A hybrid quasi-Newton method with application in sparse recovery S Babaie-Kafaki, Z Aminifard, S Ghafoori Computational and Applied Mathematics 41 (6), 249, 2022 | 1 | 2022 |
Saman Babaie-KafakiUNIBZ + Semnan UniversityAdresse e-mail validée de unibz.it
