The striking goal of this study is to introduce a q-identity for parameterized integral operator via differentiable function. First, we discover the lemma q-integral. After that, provide several q-differentiable inequalities. By taking suitable choices, some interesting results are obtained. With all these, displayed findings from traditional analysis utilizing q→1−.

We consider nonequilibrium probabilistic dynamics in logisticlike maps x(t+1)=1-a|x(t)|(z), (z>1) at their chaos threshold: We first introduce many initial conditions within one among W>>1 intervals partitioning the phase space and focus on the unique value q(sen)<1 for which the entropic form S(q) identical with (1- summation operator Wp(q)(i))/(q-1) linearly increases with time. We then verif...

in this paper we define ( , ) k  q -fuzzy h -sub hemirings, ( , ) k  q -fuzzy h -ideals, ( , ) k  q - fuzzy     h -bi-ideals and ( , ) k  q -fuzzy h -quasi-ideals. we characterize h -hemiregular and h -intrahemiregular hemirings by the properties of their     ( , ) k  q -fuzzy h -ideals, ( , ) k  q -fuzzy h -bi-ideals and     ( , ) k  q -fuzzy h -quasi-...

Let p/q be a rational number. Numeration in base is defined by function that evaluates each finite word over A_p={0,1,...,p-1} to some We let N_p/q denote the image of this evaluation function. In particular, contains all nonnegative integers and literature on usually focuses set words are evaluated integers; it rather chaotic language which not context-free. On contrary, we study here subsets ...

This paper proposes an approach for learning call admission control (CAC) policies in a cellular network that handles several classes of traffic with different resource requirements. The performance measures in cellular networks are long term revenue, utility, call blocking rate (CBR) and handoff failure rate (CDR). Reinforcement Learning (RL) can be used to provide the optimal solution, howeve...