Results 1 to 10 of about 1,874,752 (330)
Revisiting Blasius Flow by Fixed Point Method [PDF]
Abstract and Applied Analysis, 2014 The well-known Blasius flow is governed by a third-order nonlinear ordinary differential equation with two-point boundary value. Specially, one of the boundary conditions is asymptotically assigned on the first derivative at infinity, which is the main ...
Ding Xu, Jinglei Xu, Gongnan Xie
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Fixed point theorems in locally convex spaces—the Schauder mapping method [PDF]
Fixed Point Theory and Applications, 2006 In the appendix to the book by F. F. Bonsal, Lectures on Some Fixed Point Theorems of Functional Analysis (Tata Institute, Bombay, 1962) a proof by Singbal of the Schauder-Tychonoff fixed point theorem, based on a locally convex variant of Schauder ...
Cobzaş S
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Core many-to-one matchings by fixed-point methods [PDF]
Journal of Economic Theory, 2004 Submitted - sswp1140 ...
Federico Echenique, Jorge Oviedo
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MANAS: Journal of Engineering, 2013 We discuss the problem of finding approximate solutions of the equation x)0 f()0 (1) In some cases it is possible to find the exact roots of the equation (1) for example when f(x) is a quadratic on cubic polynomial otherwise, in general, is interested
Mehmet Karakas
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An Extragradient Method for Mixed Equilibrium Problems and Fixed Point Problems
Fixed Point Theory and Applications, 2009 The purpose of this paper is to investigate the problem of approximating a common element of the set of fixed points of a demicontractive mapping and the set of solutions of a mixed equilibrium problem.
Liou Yeong-Cheng +2 more
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Hybrid Viscosity Iterative Method for Fixed Point, Variational Inequality and Equilibrium Problems [PDF]
Fixed Point Theory and Applications, 2010 We introduce an iterative scheme by the viscosity iterative method for finding a common element of the solution set of an equilibrium problem, the solution set of the variational inequality, and the fixed points set of infinitely many nonexpansive ...
Chen Yi-An, Zhang Yi-Ping
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A Fixed-Point of View on Gradient Methods for Big Data [PDF]
arXiv, 2017 Interpreting gradient methods as fixed-point iterations, we provide a detailed analysis of those methods for minimizing convex objective functions. Due to their conceptual and algorithmic simplicity, gradient methods are widely used in machine learning for massive data sets (big data).
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A Fixed Point Method for Convex Systems
Applied Mathematics, 2012 We present a new fixed point technique to solve a system of convex equations in several variables. Our approach is based on two powerful algorithmic ideas: operator-splitting and steepest descent direction. The quadratic convergence of the proposed approach is established under some reasonable conditions. Preliminary numerical results are also reported.
Morteza Kimiaei, Farzad Rahpeymaii
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Resolution of semilinear equations by fixed point methods
Bulletin of the Belgian Mathematical Society - Simon Stevin, 2000 Pablo Amster, M. C. Mariani
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Fixed point quasiconvex subgradient method [PDF]
European Journal of Operational Research, 2020 Constrained quasiconvex optimization problems appear in many fields, such as economics, engineering, and management science. In particular, fractional programming, which models ratio indicators such as the profit/cost ratio as fractional objective functions, is an important instance.
Kazuhiro Hishinuma, Hideaki Iiduka
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