We propose a new calculation algorithm in continuous-time Markov analysis on the precondition of using large-scale numerical calculation on a computer. Because it is more efficient than the ordinary calculation in absorbing Markov analysis in memory usage and computation time, it can be applied to Markov models with enormous numbers of states especially in the fields of reliability, dependability, and safety
Continuous time Markov chains (CTMCs) are among the most fundamental mathematical structures used fo...
Abstract: Two main approximation methods for steady-state analysis of Markov chains are introduced: ...
This paper compares three numerical methods for reliability calculation of Markov, closed, fault-tol...
Purpose – Markov chains and queuing theory are widely used analysis, optimization and decision-makin...
Continuous time Markov chains (CTMCs) are among the most fundamental mathematical structures used fo...
Reliability and dependability modeling can be employed during many stages of analysis of a computing...
Abstract In this paper, we present an efficient procedure for obtaining information on variability a...
One of the roadblocks to greater application of Markov chains is that non-numerically sophisticated ...
We treat a special type of Markov chain with a finite state space. This type of Markov chain often a...
Data showing the timings for a number of algorithms for the computation of the steady state of a con...
We present new algorithms for the solution of large structured Markov models whose infinitesimal gen...
One of the roadblocks to greater application of Markov chains is that non-numerically sophisticated ...
Computer systems are ubiquitous in almost all spheres of our life, motivat-ing the need for them to ...
Reliability and dependability modeling can be employed during many stages of analysis of a computing...
This paper illustrates the current state of development of an algorithm for the steady state soluti...
Continuous time Markov chains (CTMCs) are among the most fundamental mathematical structures used fo...
Abstract: Two main approximation methods for steady-state analysis of Markov chains are introduced: ...
This paper compares three numerical methods for reliability calculation of Markov, closed, fault-tol...
Purpose – Markov chains and queuing theory are widely used analysis, optimization and decision-makin...
Continuous time Markov chains (CTMCs) are among the most fundamental mathematical structures used fo...
Reliability and dependability modeling can be employed during many stages of analysis of a computing...
Abstract In this paper, we present an efficient procedure for obtaining information on variability a...
One of the roadblocks to greater application of Markov chains is that non-numerically sophisticated ...
We treat a special type of Markov chain with a finite state space. This type of Markov chain often a...
Data showing the timings for a number of algorithms for the computation of the steady state of a con...
We present new algorithms for the solution of large structured Markov models whose infinitesimal gen...
One of the roadblocks to greater application of Markov chains is that non-numerically sophisticated ...
Computer systems are ubiquitous in almost all spheres of our life, motivat-ing the need for them to ...
Reliability and dependability modeling can be employed during many stages of analysis of a computing...
This paper illustrates the current state of development of an algorithm for the steady state soluti...
Continuous time Markov chains (CTMCs) are among the most fundamental mathematical structures used fo...
Abstract: Two main approximation methods for steady-state analysis of Markov chains are introduced: ...
This paper compares three numerical methods for reliability calculation of Markov, closed, fault-tol...