In this article, based on M-identity tensor, we establish some parameterized S-type inclusion intervals for fourth-order partially symmetric tensors. The new are tighter than existing results. Furthermore, upper bounds the M-spectral radius of tensors obtained. As applications, as parameter WQZ-algorithm can make algorithm more rapidly converge to largest M-eigenvalue Finally, propose two suffi...

Background: Cyclosporine-A(CsA) is an immunosuppressive polypeptide which is produced byTolypocladium inflatum gams and can cause infertility. Satureja hortensis or summer savory is a one year plant from Lamiaceae family which is used as a motive drug, anti-bloat, anti-infection and sexual power enhancer. According to positive effects of S. hortensis and negative effects of CsA we will evaluate...

in this paper we demonstrate the existence of a set of polynomials pi , 1 i  n , which arepositive semi-definite on an interval [a , b] and satisfy, partially, the conditions of polynomials found in thelagrange interpolation process. in other words, if a  a1  an  b is a given finite sequence of realnumbers, then pi (a j )  ij (ij is the kronecker delta symbol ) ; moreover, the sum of ...

This paper presents an analysis of an electro-optical hazard alerting system based on intruder line-of-sight rate. We use a recently-developed airspace encounter model to analyze intruder line-of-sight rate behavior prior to near miss. We look at a simple hazard alerting system that alerts whenever the line-of-sight rate drops below some set threshold. Simulations demonstrate that such an appro...

In this article, we present an idea for solving deterministic partially observable markov decision processes (POMDPs) based on a history space containing sequences of past observations and actions. A novel and sound technique for learning a Q-function on history spaces is developed and discussed. We analyze certain conditions under which a history based approach is able to learn policies compar...

In this article we propose a qualitative ( ordi­ nal) counterpart for the Partially Observable Markov Decision Processes rnodel (POMDP) in which the uncertainty, as well as the prefer­ ences of the agent, are modeled by possibility distributions. This qualitative counterpart of the POMDP model relies on a possibilistic theory of decision under uncertainty, recently developed. One advantage of s...

A new policy iteration algorithm for partially observable Markov decision processes is presented that is simpler and more eecient than an earlier policy iteration algorithm of Sondik (1971,1978). The key simpliication is representation of a policy as a nite-state controller. This representation makes policy evaluation straightforward. The pa-per's contribution is to show that the dynamic-progra...

Decision processes with incomplete state feedback have been traditionally modelled as partially observable Markov decision processes. In this article, we present an alternative formulation based on probabilistic regular languages. The proposed approach generalises the recently reported work on language measure theoretic optimal control for perfectly observable situations and shows that such a f...