نتایج جستجو برای: yosida representation

تعداد نتایج: 236783  

Journal: :iranian journal of applied language studies 2012
habibollah mashhady behruz lotfi mahbobeh noura

the purpose of this study was twofold: (a) to assess the retention of two word types (synonyms and homonyms) in the short term memory, and (b) to investigate the effect of these word types on word learning by asking learners to learn their persian meanings. a total of 73 iranian language learners studying english translation participated in the study. for the first purpose, 36 freshmen from an ...

Anthony W. Hager, Bernhard Banaschewski

 The category of the title is called $mathcal{W}$. This has all free objects $F(I)$ ($I$ a set). For an object class $mathcal{A}$, $Hmathcal{A}$ consists of all homomorphic images of $mathcal{A}$-objects. This note continues the study of the $H$-closed monoreflections $(mathcal{R}, r)$ (meaning $Hmathcal{R} = mathcal{R}$), about which we show ({em inter alia}): $A in mathcal{A}$ if and  only if...

Journal: :Int. J. Math. Mathematical Sciences 2009
Ram U. Verma

Based on a notion of relatively maximal m -relaxed monotonicity, the approximation solvability of a general class of inclusion problems is discussed, while generalizing Rockafellar’s theorem 1976 on linear convergence using the proximal point algorithm in a real Hilbert space setting. Convergence analysis, based on this newmodel, is simpler and compact than that of the celebrated technique of R...

2003
Li-Ping Pang Zun-Quan Xia R. van Keer

A general framework of the (parallel variable transformation) PVT-type algorithm, called the PVT-MYR algorithm, for minimizing a nonsmooth convex function is proposed, via the Moreau-Yosida regularization. As a particular scheme of this framework an ε-scheme is also presented. The global convergence of this algorithm is given under the assumptions of strong convexity of the objective function a...

2010
Andreas Günther Michael Hinze Moulay Hicham Tber

In this work we develop an adaptive algorithm for solving elliptic optimal control problems with simultaneously appearing state and control constraints. Building upon the concept proposed in [9] the algorithm applies a Moreau-Yosida regularization technique for handling state constraints. The state and co-state variables are discretized using continuous piecewise linear finite elements while a ...

2003
RICHARD N. BALL ANTHONY W. HAGER

Within the categoryW of archimedean lattice-ordered groups with weak order unit, we show that the objects of the form C (L), the set of continuous real-valued functions on a locale L, are precisely those which are divisible and complete with respect to a variant of uniform convergence, here termed indicated uniform convergence. We construct the corresponding completion of aW-object A purely alg...

2015
Hamdullah Yücel Martin Stoll Peter Benner

In this paper, we investigate an a posteriori error estimate of a control constrained optimal control problem governed by a time-dependent convection diffusion equation. Control constraints are handled by using the primal-dual active set algorithm as a semi-smooth Newton method or by adding a Moreau-Yosida-type penalty function to the cost functional. An adaptive mesh refinement indicated by a ...

Journal: :SIAM J. Matrix Analysis Applications 2010
Roland Herzog Ekkehard W. Sachs

Optimality systems and their linearizations arising in optimal control of partial differential equations with pointwise control and (regularized) state constraints are considered. The preconditioned conjugate gradient (pcg) method in a non-standard inner product is employed for their efficient solution. Preconditioned condition numbers are estimated for problems with pointwise control constrain...

Journal: :SIAM Journal on Optimization 2017
Christian Clason Tuomo Valkonen

We study the extension of the Chambolle–Pock primal-dual algorithm to nonsmooth optimization problems involving nonlinear operators between function spaces. Local convergence is shown under technical conditions including metric regularity of the corresponding primal-dual optimality conditions. We also show convergence for a Nesterov-type accelerated variant provided one part of the functional i...

2015
Zengru Cui Gonglin Yuan Zhou Sheng Wenjie Liu Xiaoliang Wang Xiabin Duan Lixiang Li

This paper proposes a modified BFGS formula using a trust region model for solving nonsmooth convex minimizations by using the Moreau-Yosida regularization (smoothing) approach and a new secant equation with a BFGS update formula. Our algorithm uses the function value information and gradient value information to compute the Hessian. The Hessian matrix is updated by the BFGS formula rather than...

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