{"title":"希尔伯特空间中哈默斯坦积分结论近似解的惯性型算法","authors":"A. U. Bello, M. T. Omojola, J. Yahaya","doi":"10.1186/s13663-021-00691-7","DOIUrl":null,"url":null,"abstract":"Let H be a real Hilbert space. Let $F:H\\rightarrow 2^{H}$ and $K:H\\rightarrow 2^{H}$ be two maximal monotone and bounded operators. Suppose the Hammerstein inclusion $0\\in u+KFu$ has a solution. We construct an inertial-type algorithm and show its strong convergence to a solution of the inclusion. As far as we know, this is the first inertial-type algorithm for Hammerstein inclusions in Hilbert spaces. We also give numerical examples to compare the new algorithm with some existing ones in the literature.","PeriodicalId":12293,"journal":{"name":"Fixed Point Theory and Applications","volume":"27 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An inertial-type algorithm for approximation of solutions of Hammerstein integral inclusions in Hilbert spaces\",\"authors\":\"A. U. Bello, M. T. Omojola, J. Yahaya\",\"doi\":\"10.1186/s13663-021-00691-7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Let H be a real Hilbert space. Let $F:H\\\\rightarrow 2^{H}$ and $K:H\\\\rightarrow 2^{H}$ be two maximal monotone and bounded operators. Suppose the Hammerstein inclusion $0\\\\in u+KFu$ has a solution. We construct an inertial-type algorithm and show its strong convergence to a solution of the inclusion. As far as we know, this is the first inertial-type algorithm for Hammerstein inclusions in Hilbert spaces. We also give numerical examples to compare the new algorithm with some existing ones in the literature.\",\"PeriodicalId\":12293,\"journal\":{\"name\":\"Fixed Point Theory and Applications\",\"volume\":\"27 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-03-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Fixed Point Theory and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1186/s13663-021-00691-7\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fixed Point Theory and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1186/s13663-021-00691-7","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An inertial-type algorithm for approximation of solutions of Hammerstein integral inclusions in Hilbert spaces
Let H be a real Hilbert space. Let $F:H\rightarrow 2^{H}$ and $K:H\rightarrow 2^{H}$ be two maximal monotone and bounded operators. Suppose the Hammerstein inclusion $0\in u+KFu$ has a solution. We construct an inertial-type algorithm and show its strong convergence to a solution of the inclusion. As far as we know, this is the first inertial-type algorithm for Hammerstein inclusions in Hilbert spaces. We also give numerical examples to compare the new algorithm with some existing ones in the literature.
期刊介绍:
In a wide range of mathematical, computational, economical, modeling and engineering problems, the existence of a solution to a theoretical or real world problem is equivalent to the existence of a fixed point for a suitable map or operator. Fixed points are therefore of paramount importance in many areas of mathematics, sciences and engineering.
The theory itself is a beautiful mixture of analysis (pure and applied), topology and geometry. Over the last 60 years or so, the theory of fixed points has been revealed as a very powerful and important tool in the study of nonlinear phenomena. In particular, fixed point techniques have been applied in such diverse fields as biology, chemistry, physics, engineering, game theory and economics.
In numerous cases finding the exact solution is not possible; hence it is necessary to develop appropriate algorithms to approximate the requested result. This is strongly related to control and optimization problems arising in the different sciences and in engineering problems. Many situations in the study of nonlinear equations, calculus of variations, partial differential equations, optimal control and inverse problems can be formulated in terms of fixed point problems or optimization.