Showing 61 - 80 of 332

61

A STRONGLY CONVERGENT METHOD FOR NONSMOOTH CONVEX MINIMIZATION IN HILBERT SPACES
BELLO CRUZ, J. Y ; LUSEM, A. N
Numerical functional analysis and optimization. 32(10-12):1009-1018

Control theory, operatio... Automatique, recherche o... Mathematics Mathématiques Sciences exactes et tech... Exact sciences and techn...
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62

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63

A primal dual modified subgradient algorithm with sharp Lagrangian
Alfredo N. Iusem ; Jefferson G. Melo ; Regina S. Burachik ; et al.
Journal of Global Optimization. 46:347-361

nonconvex optimization modified subgradient alg... duality scheme 0211 other engineering a... 02 engineering and techn... sharp Lagrangian
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64

A solution to security constrained non-convex economic dispatch problem by modified subgradient algorithm based on feasible values
Fadıl, Salih ; Yazici, Ahmet ; Urazel, Burak
In International Journal of Electrical Power and Energy Systems December 2012 43(1):849-858

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65

Dual approaches to finite element model updating
Yuan, Quan
In Journal of Computational and Applied Mathematics 2012 236(7):1851-1861

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66

Normalized Incremental Subgradient Algorithm and Its Application
QINGJIANG SHI ; CHEN HE ; LINGGE JIANG
IEEE transactions on signal processing. 57(10):3759-3774

Telecommunications Télécommunications Sciences exactes et tech... Exact sciences and techn... Sciences appliquees Applied sciences
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67

Lagrangean heuristics combined with reoptimization for the 0–1 bidimensional knapsack problem
Gérard Plateau ; Anass Nagih ; Babacar Thiongane
Discrete Applied Mathematics. 154:2200-2211

Applied Mathematics 0211 other engineering a... 0202 electrical engineer... 0–1 Knapsack Local search Discrete Mathematics and...
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68

Distributed algorithms for maximum lifetime routing in wireless sensor networks
MADAN, Ritesh ; LALL, Sanjay
IEEE transactions on wireless communications. 5(8):2185-2193

Telecommunications Télécommunications Sciences exactes et tech... Exact sciences and techn... Sciences appliquees Applied sciences
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69

Control subgradient algorithm for image ℓ 1 regularization
El Mouatasim, Abdelkrim ; Wakrim, Mohammed
Signal, Image and Video Processing. December 2015 9(1):275-283

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70

A Weak-to-Strong Convergence Principle for Fejér-Monotone Methods in Hilbert Spaces: A weak-to-strong convergence principle for Fejér-monotone methods in Hilbert spaces.
Heinz H. Bauschke ; Patrick L. Combettes
Mathematics of Operations Research. 26:248-264

Programming in abstract... Iterative procedures inv... Numerical solutions to e... 0211 other engineering a... Convex feasibility, Fejé... 02 engineering and techn...
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71

The volume algorithm: producing primal solutions with a subgradient method: The volume algorithm: Producing primal solutions with a subgradient method
Francisco Barahona ; Ranga Anbil
Mathematical Programming. 87:385-399

Large-scale problems in... Dantzig-Wolfe decomposit... Linear programming 0211 other engineering a... 0202 electrical engineer... Derivative-free methods...
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72

A variable target value method for nondifferentiable optimization
Hanif D. Sherali ; Gyunghyun Choi ; Cihan H. Tuncbilek
Operations Research Letters. 26:1-8

nondifferentiable optimi... 0209 industrial biotechn... Numerical mathematical p... Nonlinear programming conjugate subgradient me... 0211 other engineering a...
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73

A generalized subgradient method with relaxation step
Ulf Brännlund
Mathematical Programming. 71:207-219

linear convergence rate Nonlinear programming projection methods 0211 other engineering a... generalized subgradient... 02 engineering and techn...
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74

A Subgradient-Like Algorithm for Solving Vector Convex Inequalities
Bello Cruz, J. Y. ; Lucambio Pérez, L. R.
Journal of Optimization Theory and Applications. August 2014 162(2):392-404

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75

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76

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77

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78

The K-coverage concentrator location problem: The \(K\)-coverage concentrator location problem
Rathindra Sarathy ; Arun Sen ; Bala Shetty
Applied Mathematical Modelling. 16:94-100

centralized teleprocessi... single-source capacitate... Lagrangian relaxation Applied Mathematics 05 social sciences 0211 other engineering a...
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79

Subgradient Method for Convex Feasibility on Riemannian Manifolds
Bento, Glaydston C. ; Melo, Jefferson G.
Journal of Optimization Theory and Applications. March 2012 152(3):773-785

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80

A trajectory algorithm based on the gradient method I. The search on the quasioptimal trajectories: A trajectory algorithm based on the gradient method. I: The search on the quasioptimal trajectories
S. K. Zavriev ; E. G. Sturua
Journal of Global Optimization. 1:375-388

projected subgradient me... Nonlinear programming global optimization Computational methods fo... trajectory algorithms finite subgradient algor...
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