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Sanaz Bojari
Sanaz Bojari
PhD in Applied Mathematics
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Two families of scaled three-term conjugate gradient methods with sufficient descent property for nonconvex optimization
S Bojari, MR Eslahchi
Numerical Algorithms 83 (3), 901-933, 2020
202020
Global convergence of a family of modified BFGS methods under a modified weak-Wolfe–Powell line search for nonconvex functions
S Bojari, MR Eslahchi
4OR 18 (2), 219-244, 2020
102020
Global convergence of a new sufficient descent spectral three-term conjugate gradient class for large-scale optimization
MR Eslahchi, S Bojari
Optimization Methods and Software 37 (3), 830-843, 2022
52022
A five-parameter class of derivative-free spectral conjugate gradient methods for systems of large-scale nonlinear monotone equations
S Bojari, MR Eslahchi
International Journal of Computational Methods 19 (09), 2250016, 2022
22022
Solving Large-Scale Unconstrained Optimization Problems with an Efficient Conjugate Gradient Class
S Bojari, M Paripour
Journal of Mathematics 2024 (1), 5548724, 2024
2024
Some improved Dai–Yuan conjugate gradient methods for large-scale unconstrained optimization problems
S Bojari, MR Eslahchi
Journal of Applied Mathematics and Computing 69 (6), 4213-4228, 2023
2023
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