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Subgradient Method

Parallel computing subgradient method for nonsmooth convex optimization over the intersection of fixed point sets of nonexpansive mappings

Parallel computing subgradient method for nonsmooth convex optimization over the intersection of fixed point sets of nonexpansive mappings

... This paper discussed the problem of minimizing the sum of nondifferentiable, convex functions over the intersection of the fixed point sets of firmly nonexpansive mappings in a real Hilbert space. It presented a parallel ...

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Efficiency of subgradient method in solving nonsmootth optimization problems

Efficiency of subgradient method in solving nonsmootth optimization problems

... the subgradient method is the conjugate subgradient method which was developed by Wolfe [10] and it is similar to the well-established conjugate gradient method for solving quadratic ...

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Weak and strong convergence of hybrid subgradient method for pseudomonotone equilibrium problem and multivalued nonexpansive mappings

Weak and strong convergence of hybrid subgradient method for pseudomonotone equilibrium problem and multivalued nonexpansive mappings

... hybrid subgradient method for a class of pseudomonotone equi- librium problems and a finite family of multivalued nonexpansive mappings, but also to establish weak and strong convergence theorems involving ...

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RSG: Beating Subgradient Method without Smoothness and Strong Convexity

RSG: Beating Subgradient Method without Smoothness and Strong Convexity

... projection method and its finite convergence established in (Polyak, 1987) requires the gradient of the objective function to be Lipschitz continuous, ...of subgradient evaluations is ...of ...

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Dual Decomposition with Many Overlapping Components

Dual Decomposition with Many Overlapping Components

... the subgradient method in several aspects: it is faster to reach a consensus, it has better stopping conditions, and it works better in non-lightweight ...

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Iterative Regularization for Learning with Convex Loss Functions

Iterative Regularization for Learning with Convex Loss Functions

... We consider the problem of supervised learning with convex loss functions and propose a new form of iterative regularization based on the subgradient method. Unlike other regu- larization approaches, in ...

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Extragradient subgradient methods for solving bilevel equilibrium problems

Extragradient subgradient methods for solving bilevel equilibrium problems

... a method for finding the solution for bilevel equilibrium problems where f is strongly monotone and g is pseudomonotone and Lipschitz-type ...extragradient subgradient method with the Halpern ...

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Adaptive Subgradient Methods for Online Learning and Stochastic Optimization

Adaptive Subgradient Methods for Online Learning and Stochastic Optimization

... Our techniques stem from a variety of research directions, and as a byproduct we also extend a few well-known algorithms. In particular, we consider variants of the follow-the-regularized leader (FTRL) algorithms ...

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Hybrid projected subgradient-proximal algorithms for solving split equilibrium problems and split common fixed point problems of nonexpansive mappings in Hilbert spaces

Hybrid projected subgradient-proximal algorithms for solving split equilibrium problems and split common fixed point problems of nonexpansive mappings in Hilbert spaces

... They introduced the iterative scheme which converges strongly to a common solution of the split equilibrium problem, the variational inequality problem and the fixed point prob- lem for a nonexpansive mapping. Many ...

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A Lagrangean Heuristic For The Degree Constrained Minimal Spanning Tree Problem

A Lagrangean Heuristic For The Degree Constrained Minimal Spanning Tree Problem

... use subgradient optimization method to get Lagrange multipliers that give good lower ...the subgradient procedure to get a feasible solution from the infeasible Lagrangean ...the subgradient ...

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JenaCordeauGendron LagrangHeurDynamicFLP 2016

JenaCordeauGendron LagrangHeurDynamicFLP 2016

... the subgradient method and the bundle method to solve the Lagrangian ...The subgradient method is used with an initial scalar δ 0 = ...bundle method, an implementation similar to ...

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A Unified View of Adaptive Variable-Metric Projection Algorithms

A Unified View of Adaptive Variable-Metric Projection Algorithms

... We present a unified analytic tool named variable-metric adaptive projected subgradient method (V-APSM) that encompasses the important family of adaptive variable-metric projection algorithms. The family ...

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An experimental study to assess the effectiveness of double syringe method versus rubber band method on successful breast feeding among primi para mothers with flat and inverted nipple at MGMCRI, Puducherry

An experimental study to assess the effectiveness of double syringe method versus rubber band method on successful breast feeding among primi para mothers with flat and inverted nipple at MGMCRI, Puducherry

... cracked or damaged nipple Such abnormalities may cause difficulties to feed. The most common abnormality that found is flat or inverted nipple. It is commonly seen in primipara mothers. Breast engorgement is common ...

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Application of Modified Subgradient Algorithm Based on Feasible Values to Security Constrained Non-Convex Economic Dispatch Problems with Prohibited Zones and Ramp Rates

Application of Modified Subgradient Algorithm Based on Feasible Values to Security Constrained Non-Convex Economic Dispatch Problems with Prohibited Zones and Ramp Rates

... Abstract—A security constrained non-convex power dispatch problem with prohibited operation zones and ramp rates is formulated and solved using an iterative solution method based on the modified subgradient ...

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Calculation of permanent distortions aggregated by the alize method  and the finished elements method

Calculation of permanent distortions aggregated by the alize method and the finished elements method

... sizing methods will be examined and the main conclusion arrived at is the following: they are too simplistic in a set of situations where the elastic layers model cannot be justified. In order to fine tune these methods ...

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METHOD DEVELOPMENT AND VALIDATION OF OXCARBAZEPINE BY USING RP-HPLC METHOD

METHOD DEVELOPMENT AND VALIDATION OF OXCARBAZEPINE BY USING RP-HPLC METHOD

... Different method depending upon the physical, chemical & biological properties of drug need to be developed in order to evaluate their intended quality, ...HPLC method for routine analysis, determining ...

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METHOD DEVELOPMENT AND VALIDATION OF LAMIVUDINE AND TINOFOVIR BY RP-HPLC METHOD

METHOD DEVELOPMENT AND VALIDATION OF LAMIVUDINE AND TINOFOVIR BY RP-HPLC METHOD

... Methanol: phosphate Buffer (70%30%v/v) to give well resolved and good symmetrical peaks with short run time. The retention time were found to be 2.464 and 3.746 min respectively. The linearity of the method was ...

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Writing method

Writing method

... might method better appreciate the view if it stopped stepping back and committed itself there and then to writing more forwardly of what it saw? Might it resist its urge to withdraw and lean forward instead to ...

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Composite inertial subgradient extragradient methods for variational inequalities and fixed point problems

Composite inertial subgradient extragradient methods for variational inequalities and fixed point problems

... Let A : H → H be a mapping defined on the whole space. The known variational in- equality problem (VIP), which find lots of applications in sparse reconstruction, image reconstruction, traffic and transportation systems, is ...

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Analysis of Arsenic from water by Spectrophotometric method

Analysis of Arsenic from water by Spectrophotometric method

... molybdate and CR reagents to produce molybdenum blue complex. The absorbance of molybdenum blue complex at the wave length of λ = 878nm has been used for arsenic determination. The LOD and LOQ of the method are 2 ...

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