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A nonlinear conjugate gradient method with complexity guarantees and its application to nonconvex regression
Free accessArXiv | 2022| -
A divergence-based condition to ensure quantile improvement in black-box global optimization
Free accessArXiv | 2024| -
Bregman Proximal Linearized ADMM for Minimizing Separable Sums Coupled by a Difference of Functions
Free accessArXiv | 2024| -
On the derivative-free quasi-Newton-type algorithm for separable systems of nonlinear equations
Free accessEDP Sciences | 2021| -
Convergence Rates of Subgradient Methods for Quasi-convex Optimization Problems
Free accessArXiv | 2019| -
Combining Precision Boosting with LP Iterative Refinement for Exact Linear Optimization
Free accessArXiv | 2023| -
A new steplength selection for scaled gradient methods with application to image deblurring
Free accessArXiv | 2014| -
On a globally convergent semismooth* Newton method in nonsmooth nonconvex optimzation
Free accessArXiv | 2024| -
Finding best approximation pairs for two intersections of closed convex sets
Free accessArXiv | 2021| -
A modified Perry-type derivative-free projection method for solving large-scale nonlinear monotone equations
Free accessEDP Sciences | 2021| -
An investigation of stochastic trust-region based algorithms for finite-sum minimization
Free accessArXiv | 2024|
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