Suchergebnisse - self-adaptive gradient projection algorithm

A self-adaptive gradient projection algorithm for the nonadditive traffic equilibrium problem von Chen, Anthony, Zhou, Zhong, Xu, Xiangdong

“… In this paper, a self-adaptive gradient projection (SAGP) algorithm is proposed. The self-adaptive scheme has the ability …”
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Self-adaptive gradient projection algorithms for variational inequalities involving non-Lipschitz continuous operators von Anh, Pham Ky, Vinh, Nguyen The

“… In this paper, we introduce a self-adaptive inertial gradient projection algorithm for solving monotone or strongly pseudomonotone variational inequalities in real Hilbert spaces …”
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A linearly convergent self-adaptive gradient projection algorithm for sparse signal reconstruction in compressive sensing von Wang, Hengdi, Du, Jiakang, Su, Honglei, Sun, Hongchun

“… convex optimization problem, and then a new self-adaptive gradient projection algorithm is proposed to solve …”
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Remote park-and-ride network equilibrium model and its applications von Liu, Zhiyuan, Chen, Xinyuan, Meng, Qiang, Kim, Inhi

“… •Methodological framework for a new concept, remote park-and-ride scheme.•Cross-nested logit model for combined modal split and traffic assignment.•Extension …”
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A fast inertial self-adaptive projection based algorithm for solving large-scale nonlinear monotone equations von Zhang, N., Liu, J.K., Zhang, L.Q., Lu, Z.L.

“… In this paper, we propose a fast inertial self-adaptive projection based algorithm for solving large-scale monotone equations with the relaxation factor …”
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A Cost-Effective Approach for the Integrated Optimization of Line Planning and Timetabling in an Urban Rail Transit Line von Gao, Yi, Jia, Chuanjun, Wang, Zhipeng, Hu, Zhiyuan

“… Line planning and timetabling play important roles in the design of urban rail transportation services. Due to the complexity of the integrated optimization of …”
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Modelling Rail-Based Park and Ride with Environmental Constraints in a Multimodal Transport Network von Chen, Xinyuan, Kim, Inhi

“… Environmental sustainability is a significant aspect in the sustainable development of modern urban cities, especially in the road transport system. As traffic …”
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A self-adaptive Armijo stepsize strategy with application to traffic assignment models and algorithms von Chen, Anthony, Xu, Xiangdong, Ryu, Seungkyu, Zhou, Zhong

“… In this article, a self-adaptive Armijo strategy is proposed to determine an acceptable stepsize in a more efficient manner …”
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A Modified Self-Adaptive Conjugate Gradient Method for Solving Convex Constrained Monotone Nonlinear Equations for Signal Recovery Problems von Abubakar, Auwal Bala, Kumam, Poom, Awwal, Aliyu Muhammed, Thounthong, Phatiphat

“… In this article, we propose a modified self-adaptive conjugate gradient algorithm for handling nonlinear monotone equations with the constraints being convex …”
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Self-adaptive iterative method for solving boundedly Lipschitz continuous and strongly monotone variational inequalities von He, Songnian, Liu, Lili, Gibali, Aviv

“… In this paper we introduce a new self-adaptive iterative algorithm for solving the variational inequalities in real Hilbert spaces, denoted by VI ( C , F ) . Here C …”
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A novel flow update policy in solving traffic assignment problems: Successive over relaxation iteration method von Zhang, Honggang, Liu, Zhiyuan, Wang, Jian, Wu, Yunchi

“… , the gradient projection (GP) algorithm.•Three important propositions of the GP-SOR algorithm …”
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A decomposable self-adaptive projection-based prediction–correction algorithm for convex time space network flow problem von Jiang, Yiping, Fu, Xiaoling, Huang, Kai, Zhao, Lindu

“… Then, after exploring the decomposable structure of primal decision variables, we propose a novel decomposable self-adaptive projection-based prediction …”
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Halpern-type Bregman Projection Algorithms for Split Variational Inequality Problems von Liu, Liya, Li, Tiexiang, Qin, Xiaolong

“… The purpose of this paper is to investigate two Halpern-type Bregman projection algorithms with inertial factors and self-adaptive stepsizes for solving split variational inequality problems in real Hilbert spaces …”
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Self-adaptive algorithms for quasiconvex programming and applications to machine learning von Thang, Tran Ngoc, Hai, Trinh Ngoc

“… For solving a broad class of nonconvex programming problems on an unbounded constraint set, we provide a self-adaptive step-size strategy that does not include line-search techniques and establishes …”
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A self-adaptive descent LQP alternating direction method for the structured variational inequalities von Bnouhachem, Abdellah

“… . The choice of the descent direction and the step size selection strategies are important for the algorithm’s efficiency. The O (1/ t ) convergence rate of the proposed …”
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Ball-relaxed projection algorithms for multiple-sets split feasibility problem von Taddele, Guash Haile, Kumam, Poom, Gebrie, Anteneh Getachew, Abubakar, Jamilu

“… Motivated by the ball-relaxed projection algorithm proposed by Yu et al. for the split feasibility problem (SFP …”
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Self adaptive spectral conjugate gradient method for solving nonlinear monotone equations von Koorapetse, M., Kaelo, P.

“… In this paper, we propose a self adaptive spectral conjugate gradient-based projection method for systems of nonlinear monotone equations …”
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Global convergence via modified self-adaptive approach for solving constrained monotone nonlinear equations with application to signal recovery problems von Abdullahi, Muhammad, Bala Abubakar, Auwal, Salihu, Sadiq Bashir

“… The conjugate gradient method (CG) is one of the most rapidly expanding and efficient ways of solving unconstrained minimization problems …”
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An Inertial Extragradient Direction Method with Self-Adaptive Step Size for Solving Split Minimization Problems and Its Applications to Compressed Sensing von Kaewyong, Nattakarn, Sitthithakerngkiet, Kanokwan

“… The purpose of this work is to construct iterative methods for solving a split minimization problem using a self-adaptive step size, conjugate gradient direction, and inertia technique …”
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Two self-adaptive derivative-free methods with restart procedure for constrained nonlinear equations with applications von Li, Shuangyu, Pang, Liping, Xue, Menglong, Wang, Xiaoliang

“… In this paper, we propose two self-adaptive derivative-free methods with restart procedure for solving large-scale constrained nonlinear equations …”
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