نتایج جستجو برای: matsumoto metric
تعداد نتایج: 82649 فیلتر نتایج به سال:
in this paper, we prove the existence of fixed point for chatterjea type mappings under $c$-distance in cone metric spaces endowed with a graph. the main results extend, generalized and unified some fixed point theorems on $c$-distance in metric and cone metric spaces.
In this paper, we present some fixed point theorems for single valued mappings on $K$-complete, $M$-complete and Symth complete quasi metric spaces. Here, for contractive condition, we consider some altering distance functions together with functions belonging to $C$-class and $A$-class. At the same time, we will consider two different type $M$ functions in contractive conditions because the qu...
The main purpose of this paper is to introduce several concepts of the metric-like spaces. For instance, we define concepts such as equal-like points, cluster points and completely separate points. Furthermore, this paper is an attempt to present compatibility definitions for the distance between a point and a subset of a metric-like space and also for the distance between two subsets of a metr...
The sequential $p$-convergence in a fuzzy metric space, in the sense of George and Veeramani, was introduced by D. Mihet as a weaker concept than convergence. Here we introduce a stronger concept called $s$-convergence, and we characterize those fuzzy metric spaces in which convergent sequences are $s$-convergent. In such a case $M$ is called an $s$-fuzzy metric. If $(N_M,ast)$ is a fuzzy metri...
in this paper, we give some new definitions of m-fuzzy metric spaces and we prove a common fixed point theorem for six mappings under the condition of weakly compatible mappings in complete m-fuzzy metric spaces.
یکی از مشکلات اساسی در rmmac کلاسیک این است که طراحی سیستماتیک این روش برای plant های ناپایدار امکان پذیر نمی باشد. مشکل اصلی در اینجاست که bpm برای plant های حلقه باز ناپایدار قابل محاسبه نیست. علاوه بر آن، تقسیم سیستماتیک زیرفضای نامعین در rmmac کلاسیک، وابسته به ابزار سنتز µ می باشد و دارای پیچیدگی های نسبتا زیادی است. برای حل مشکلات مذکور، در این تحقیق کنترل تطبیقی مقاوم به روش مدل چندگانه ...
Machine-learning solutions to classification, clustering and matching problems critically depend on the adopted metric, which in the past was selected heuristically. In the last decade, it has been demonstrated that an appropriate metric can be learnt from data, resulting in superior performance as compared with traditional metrics. This has recently stimulated a considerable interest in the to...
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