NSTL国家科技图书文献中心

1. NEW SUBGRADIENT BREGMAN PROJECTION METHOD FOR MIXED EQUILIBRIUM PROBLEM IN CERTAIN BANACH SPACE NSTL国家科技图书文献中心

Fu, Xiangnan - 《Journal of nonlinear and convex analysis》 - 2025,26(2) - 367～375 - 共9页

摘要：In this paper, we introduce a new subgradient | projection method based on Bregman distance for finding an | element in the set of solutions of a mixed | pseudomonotone equilibrium problem in p-uniformly convex and | uniformly smooth Banach space. Under some mixed conditions

关键词： Mixed equilibrium problem | p-uniform convexity | Banach space

2. Distributed planning method for detection array of UAV formation with bearing-only sensor network NSTL国家科技图书文献中心

Z. Chen | W. Fu ... - 《The Aeronautical journal》 - 2025,129(Mar. TN.1333) - 559～581 - 共23页

摘要： subgradient projection algorithm (DSSPA) with layered | stochastic subgradient* projection algorithm (DSSPA* | projection method. By performing a projection operation on | Unmanned aerial vehicle (UAV) formations for | bearing-only passive detection are increasingly

关键词： Unmanned aerial vehicle | bearing-only sensor | geometric dilution of precision | distributed planning method

3. An improved subgradient extragradient self-adaptive algorithm based on the golden ratio technique for variational inequality problems in Banach spaces NSTL国家科技图书文献中心

Oyewole, Olawale K. | Abass, Hammed A.... - 《Journal of Computational and Applied Mathematics》 - 2025,460 - 共13页

摘要： Banach spaces. We propose a subgradient* extragradient* | function and Bregman generalized projection, we establish | We investigate the iterative approximation of | solutions to the variational inequality problem (VIP) in | self-adaptive algorithm based on the golden ratio

关键词： Banach space | Golden ratio | Projection | Pseudomonotone operator | Variational inequality problem | Weak convergence

4. Parallel algorithms for finding common solutions to split convex feasibility and quasiconvex minimization problems NSTL国家科技图书文献中心

Thang, Tran Van | Muu, Le Dung ... - 《Journal of Applied Mathematics and Computing》 - 2025,71(3) - 4121～4146 - 共26页

摘要： algorithms are combinations between the projection | the normal subgradient* and the CQ-algorithm coupling* | We propose convergent algorithms based upon | the hybrid idea for finding a minimizer of a | quasiconvex function, which is also a solution of an

关键词： Common solution | Fixed point | Split convex feasibilty | Quasiconvexity | Parallel projection | Implicit Walras supply-demand model

5. Extension of the subgradient extragradient algorithm for solving variational inequalities without monotonicity NSTL国家科技图书文献中心

Chen, Jiaxin | Huang, Zunjie ... - 《Journal of Applied Mathematics and Computing》 - 2025,71(1) - 103～131 - 共29页

摘要：Two improved subgradient* extragradient* | an improved subgradient* extragradient algorithm* | two different half-spaces, and only one projection | algorithms are proposed for solving nonmonotone variational | inequalities under the nonempty assumption of the solution

关键词： Nonmonotone variational inequality | Subgradient extragradient algorithm | Self-adaptive | Armijo line search | Global convergence

6. An Online Two-Stage Classification Based on Projections NSTL国家科技图书文献中心

Aimin Song | Yan Wang ... - 《Circuits, systems, and signal processing》 - 2025,44(1) - 387～415 - 共29页

摘要：, the parallel projection* algorithm, within the* | adaptive projected subgradient* method framework, exhibits* | procedure for the parallel projection* algorithm is* | double-kernel classifier with parallel projection. This | mitigate model complexity, we incorporate the projection

关键词： Online classification | Two-stage algorithm | Parallel projection | Sparsification

7. A Finite-Time Consensus Continuous-Time Algorithm for Distributed Pseudoconvex Optimization With Local Constraints NSTL国家科技图书文献中心

Sijian Wang | Xin Yu - 《IEEE Transactions on Automatic Control》 - 2025,70(2) - 979～991 - 共13页

摘要： parameters or projection operators. Third, the subgradient | projection method. Compared with existing methods, the | In this article, we develop a continuous-time | algorithm based on a multiagent system for solving | distributed, nonsmooth, and pseudoconvex optimization

关键词： Optimization | Convex functions | Linear programming | Multi-agent systems | Heuristic algorithms | Vectors | Recurrent neural networks

8. Subgradient-projection-based stable phase-retrieval algorithm for X-ray ptychography NSTL国家科技图书文献中心

Natsuki Akaishi | Koki Yamada ... - 《Journal of Applied Crystallography》 - 2024,57(4) - 1085～1097 - 共13页

摘要： iterative algorithm named CRISP. It exploits subgradient | projection which allows adaptive step size and can be | X-ray ptychography is a lensless imaging | technique that visualizes the nanostructure of a thick | specimen which cannot be observed with an electron

关键词： hard X-ray ptychography | phase retrieval | subgradient projection

9. A subgradient projection method for quasiconvex minimization NSTL国家科技图书文献中心

Choque, Juan | Lara, Felipe ... - 《Positivity》 - 2024,28(5) - 共18页

摘要：In this paper, a subgradient* projection method* | for quasiconvex minimization problems is provided | . By employing strong subdifferentials, it is proved | that the generated sequence of the proposed algorithm | converges to the solution of the minimization problem of a

关键词： Subgradient methods | First-order methods | Nonconvex optimization | Generalized convexity | Quasiconvexity

10. AN INERTIAL TSENG SUBGRADIENT PROJECTION METHOD FOR SOLVING SPLIT FEASIBILITY PROBLEMS IN NON-CONVEX SETTING NSTL国家科技图书文献中心

Chen, Jinzuo | Liou, Yeong-Cheng ... - 《Journal of nonlinear and convex analysis》 - 2024,25(1) - 181～189 - 共9页

摘要： subgradient projection method for solving split feasibility | In this work, we introduce an inertial Tseng | problems in finite dimensional spaces. The main | advantages of this paper are that the introduced step -size | is chosen according to Armijo-type line rule, the

摘要：In this paper, we introduce a new subgradient | projection method based on Bregman distance for finding an | element in the set of solutions of a mixed | pseudomonotone equilibrium problem in p-uniformly convex and | uniformly smooth Banach space. Under some mixed conditions

关键词： Mixed equilibrium problem | p-uniform convexity | Banach space

摘要： subgradient projection algorithm (DSSPA) with layered | stochastic subgradient* projection algorithm (DSSPA* | projection method. By performing a projection operation on | Unmanned aerial vehicle (UAV) formations for | bearing-only passive detection are increasingly

关键词： Unmanned aerial vehicle | bearing-only sensor | geometric dilution of precision | distributed planning method

摘要： Banach spaces. We propose a subgradient* extragradient* | function and Bregman generalized projection, we establish | We investigate the iterative approximation of | solutions to the variational inequality problem (VIP) in | self-adaptive algorithm based on the golden ratio

关键词： Banach space | Golden ratio | Projection | Pseudomonotone operator | Variational inequality problem | Weak convergence

摘要： algorithms are combinations between the projection | the normal subgradient* and the CQ-algorithm coupling* | We propose convergent algorithms based upon | the hybrid idea for finding a minimizer of a | quasiconvex function, which is also a solution of an

关键词： Common solution | Fixed point | Split convex feasibilty | Quasiconvexity | Parallel projection | Implicit Walras supply-demand model

摘要：Two improved subgradient* extragradient* | an improved subgradient* extragradient algorithm* | two different half-spaces, and only one projection | algorithms are proposed for solving nonmonotone variational | inequalities under the nonempty assumption of the solution

关键词： Nonmonotone variational inequality | Subgradient extragradient algorithm | Self-adaptive | Armijo line search | Global convergence

摘要：, the parallel projection* algorithm, within the* | adaptive projected subgradient* method framework, exhibits* | procedure for the parallel projection* algorithm is* | double-kernel classifier with parallel projection. This | mitigate model complexity, we incorporate the projection

关键词： Online classification | Two-stage algorithm | Parallel projection | Sparsification

摘要： parameters or projection operators. Third, the subgradient | projection method. Compared with existing methods, the | In this article, we develop a continuous-time | algorithm based on a multiagent system for solving | distributed, nonsmooth, and pseudoconvex optimization

关键词： Optimization | Convex functions | Linear programming | Multi-agent systems | Heuristic algorithms | Vectors | Recurrent neural networks

摘要： iterative algorithm named CRISP. It exploits subgradient | projection which allows adaptive step size and can be | X-ray ptychography is a lensless imaging | technique that visualizes the nanostructure of a thick | specimen which cannot be observed with an electron

关键词： hard X-ray ptychography | phase retrieval | subgradient projection

摘要：In this paper, a subgradient* projection method* | for quasiconvex minimization problems is provided | . By employing strong subdifferentials, it is proved | that the generated sequence of the proposed algorithm | converges to the solution of the minimization problem of a

关键词： Subgradient methods | First-order methods | Nonconvex optimization | Generalized convexity | Quasiconvexity

摘要： subgradient projection method for solving split feasibility | In this work, we introduce an inertial Tseng | problems in finite dimensional spaces. The main | advantages of this paper are that the introduced step -size | is chosen according to Armijo-type line rule, the

关键词： Nonconvex split feasibility problems | S-subdifferentiable | S-subgradient projection | Armijo-type line rule | inertial technique | CQ ALGORITHM

4008-161-200 800-990-8900

国家科技图书文献中心

摘要：In this paper, we introduce a new subgradient | projection method based on Bregman distance for finding an | element in the set of solutions of a mixed | pseudomonotone equilibrium problem in p-uniformly convex and | uniformly smooth Banach space. Under some mixed conditions

关键词： Mixed equilibrium problem | p-uniform convexity | Banach space

摘要： subgradient projection algorithm (DSSPA) with layered | stochastic subgradient projection algorithm (DSSPA | projection method. By performing a projection operation on | Unmanned aerial vehicle (UAV) formations for | bearing-only passive detection are increasingly

关键词： Unmanned aerial vehicle | bearing-only sensor | geometric dilution of precision | distributed planning method

摘要： Banach spaces. We propose a subgradient extragradient | function and Bregman generalized projection, we establish | We investigate the iterative approximation of | solutions to the variational inequality problem (VIP) in | self-adaptive algorithm based on the golden ratio

关键词： Banach space | Golden ratio | Projection | Pseudomonotone operator | Variational inequality problem | Weak convergence

摘要： algorithms are combinations between the projection | the normal subgradient and the CQ-algorithm coupling | We propose convergent algorithms based upon | the hybrid idea for finding a minimizer of a | quasiconvex function, which is also a solution of an

关键词： Common solution | Fixed point | Split convex feasibilty | Quasiconvexity | Parallel projection | Implicit Walras supply-demand model

摘要：Two improved subgradient extragradient | an improved subgradient extragradient algorithm | two different half-spaces, and only one projection | algorithms are proposed for solving nonmonotone variational | inequalities under the nonempty assumption of the solution

关键词： Nonmonotone variational inequality | Subgradient extragradient algorithm | Self-adaptive | Armijo line search | Global convergence

摘要：, the parallel projection algorithm, within the | adaptive projected subgradient method framework, exhibits | procedure for the parallel projection algorithm is | double-kernel classifier with parallel projection. This | mitigate model complexity, we incorporate the projection

关键词： Online classification | Two-stage algorithm | Parallel projection | Sparsification

摘要： parameters or projection operators. Third, the subgradient | projection method. Compared with existing methods, the | In this article, we develop a continuous-time | algorithm based on a multiagent system for solving | distributed, nonsmooth, and pseudoconvex optimization

关键词： Optimization | Convex functions | Linear programming | Multi-agent systems | Heuristic algorithms | Vectors | Recurrent neural networks

摘要： iterative algorithm named CRISP. It exploits subgradient | projection which allows adaptive step size and can be | X-ray ptychography is a lensless imaging | technique that visualizes the nanostructure of a thick | specimen which cannot be observed with an electron

关键词： hard X-ray ptychography | phase retrieval | subgradient projection

摘要：In this paper, a subgradient projection method | for quasiconvex minimization problems is provided | . By employing strong subdifferentials, it is proved | that the generated sequence of the proposed algorithm | converges to the solution of the minimization problem of a

关键词： Subgradient methods | First-order methods | Nonconvex optimization | Generalized convexity | Quasiconvexity

摘要： subgradient projection method for solving split feasibility | In this work, we introduce an inertial Tseng | problems in finite dimensional spaces. The main | advantages of this paper are that the introduced step -size | is chosen according to Armijo-type line rule, the

关键词： Nonconvex split feasibility problems | S-subdifferentiable | S-subgradient projection | Armijo-type line rule | inertial technique | CQ ALGORITHM

4008-161-200 800-990-8900

国家科技图书文献中心

摘要： subgradient projection algorithm (DSSPA) with layered | stochastic subgradient* projection algorithm (DSSPA* | projection method. By performing a projection operation on | Unmanned aerial vehicle (UAV) formations for | bearing-only passive detection are increasingly

摘要： Banach spaces. We propose a subgradient* extragradient* | function and Bregman generalized projection, we establish | We investigate the iterative approximation of | solutions to the variational inequality problem (VIP) in | self-adaptive algorithm based on the golden ratio

摘要： algorithms are combinations between the projection | the normal subgradient* and the CQ-algorithm coupling* | We propose convergent algorithms based upon | the hybrid idea for finding a minimizer of a | quasiconvex function, which is also a solution of an

摘要：Two improved subgradient* extragradient* | an improved subgradient* extragradient algorithm* | two different half-spaces, and only one projection | algorithms are proposed for solving nonmonotone variational | inequalities under the nonempty assumption of the solution

摘要：, the parallel projection* algorithm, within the* | adaptive projected subgradient* method framework, exhibits* | procedure for the parallel projection* algorithm is* | double-kernel classifier with parallel projection. This | mitigate model complexity, we incorporate the projection

摘要：In this paper, a subgradient* projection method* | for quasiconvex minimization problems is provided | . By employing strong subdifferentials, it is proved | that the generated sequence of the proposed algorithm | converges to the solution of the minimization problem of a