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The Global Convergence of a New Mixed Conjugate Gradient Method for Unconstrained Optimization
Published 2012-01-01“…The global convergence is proved with the Wolfe line search. Numerical experiments are reported which support the theoretical analyses and show the presented methods outperforming CGDESCENT method.…”
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383
Young Adults, Technology, and Weight Loss: A Focus Group Study
Published 2015-01-01Get full text
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384
The Management of Acute Uncomplicated Cystitis in Adult Women by Family Physicians in Canada
Published 2008-01-01Get full text
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385
Randomized Controlled Pilot Study Testing Use of Smartphone Technology for Obesity Treatment
Published 2013-01-01Get full text
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386
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387
On optimality conditions and duality for multiobjective fractional optimization problem with vanishing constraints
Published 2024-08-01“…Furthermore, we construct Wolfe and Mond–Weir-type dual models and derive some duality theorems by using generalized quasiconvexity assumptions. …”
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388
Several Guaranteed Descent Conjugate Gradient Methods for Unconstrained Optimization
Published 2014-01-01“…This paper investigates a general form of guaranteed descent conjugate gradient methods which satisfies the descent condition gkTdk≤-1-1/4θkgk2 θk>1/4 and which is strongly convergent whenever the weak Wolfe line search is fulfilled. Moreover, we present several specific guaranteed descent conjugate gradient methods and give their numerical results for large-scale unconstrained optimization.…”
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389
New Investigation for the Liu-Story Scaled Conjugate Gradient Method for Nonlinear Optimization
Published 2020-01-01“…The descent condition and global convergent property are established below using strong Wolfe conditions. Our numerical experiments show that the new proposed algorithms are more stable and economic as compared to some well-known standard CG methods.…”
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390
Solving Large-Scale Unconstrained Optimization Problems with an Efficient Conjugate Gradient Class
Published 2024-01-01“…Global convergence property of the new class is proved under the weak-Wolfe–Powell line search technique. Numerical efficiency of the proposed class is confirmed in three sets of experiments including 210 test problems and 11 disparate conjugate gradient methods.…”
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391
A Modified Hybrid Conjugate Gradient Method for Unconstrained Optimization
Published 2021-01-01“…The proposed method can generate decent directions at every iteration independent of any line search. Under the Wolfe line search, the proposed method possesses global convergence. …”
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392
Cooled Radiofrequency Ablation for Bilateral Greater Occipital Neuralgia
Published 2014-01-01Get full text
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393
A Conjugate Gradient Method with Global Convergence for Large-Scale Unconstrained Optimization Problems
Published 2013-01-01“…The given method possesses the sufficient descent condition, and is globally convergent under strong Wolfe-Powell (SWP) line search for general function. …”
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394
An Enhanced Matrix-Free Secant Method via Predictor-Corrector Modified Line Search Strategies for Solving Systems of Nonlinear Equations
Published 2013-01-01“…In this paper, we proposed an improved matrix-free secant updating scheme via line search strategies, by using the steps of backtracking in the Armijo-type line search as a step length predictor and Wolfe-Like condition as corrector. Our approach aims at improving the overall performance of diagonal secant updating scheme. …”
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A New Hybrid Algorithm for Convex Nonlinear Unconstrained Optimization
Published 2019-01-01“…Second, we tend to depict a replacement positive CG methodology that possesses the adequate descent property with sturdy Wolfe line search. We tend to conjointly prove a replacement theorem to make sure global convergence property is underneath some given conditions. …”
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399
Diagnosis of Thymic Clear Cell Carcinoma by Cytology
Published 2013-01-01“…Few cases of clear-cell carcinoma of thymus have been documented (Truong et al., 1990 and Wolfe III et al., 1983). All these cases were diagnosed by histopathological examination of the tissue. …”
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400
A Path-Based Gradient Projection Algorithm for the Cost-Based System Optimum Problem in Networks with Continuously Distributed Value of Time
Published 2014-01-01“…The cost-based system optimum problem in networks with continuously distributed value of time is formulated as a path-based form, which cannot be solved by the Frank-Wolfe algorithm. In light of magnitude improvement in the availability of computer memory in recent years, path-based algorithms have been regarded as a viable approach for traffic assignment problems with reasonably large network sizes. …”
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