Abstract. Probabilistic algorithms are recognized for their simplicity and speed. A canonical example is the Miller-Rabin primality test algorithm. It is simple and achieves high accuracy with a small amount of computation. In this pa-per, we present two verification exercises of this algorithm using two different approaches: one being a probabilistic extension of the weakest precondition calculus [17, 15]. and the other, a probabilistic extension of Hoare logic [6, 7] We define verification strategies/patterns and establish comparisons between the logics, stressing their strengths and weaknesses
Probabilistic analysis is a tool of fundamental importance to virtually all scientists and engineers...
Probabilistic annotations generalise standard Hoare Logic [20] to quantitative properties of probabi...
The probabilistic guarded-command language pGCL [15] contains both demonic and probabilistic nondete...
Hoare logic can be used to verify properties of deterministic programs by deriving correctness formu...
Hoare logic can be used to verify properties of deterministic programs by deriving correctness formu...
Attention has been paid mostly to the new deterministic algorithm for primality testing AKS recently...
AbstractUsing the HOL theorem prover, we apply our formalization of probability theory to specify an...
AbstractIn [R.J. Corin, J.I. den Hartog, A probabilistic hoare-style logic for game-based cryptograp...
In [R.J. Corin, J.I. den Hartog, A probabilistic hoare-style logic for game-based cryptographic proo...
AbstractWe analyse two recent probabilistic primality testing algorithms; the first one is derived f...
AbstractWe study the existence of efficient approximation methods to verify quantitative specificati...
We solve two fundamental problems of probabilistic reasoning: given finitely many conditional probab...
AbstractModel checking is an algorithmic method allowing to automatically verify if a system which i...
We study quantitative reasoning about probabilistic programs. In doing so, we investigate two main a...
Probabilistic (or quantitative) verification is a branch of formal methods dealing with stochastic m...
Probabilistic analysis is a tool of fundamental importance to virtually all scientists and engineers...
Probabilistic annotations generalise standard Hoare Logic [20] to quantitative properties of probabi...
The probabilistic guarded-command language pGCL [15] contains both demonic and probabilistic nondete...
Hoare logic can be used to verify properties of deterministic programs by deriving correctness formu...
Hoare logic can be used to verify properties of deterministic programs by deriving correctness formu...
Attention has been paid mostly to the new deterministic algorithm for primality testing AKS recently...
AbstractUsing the HOL theorem prover, we apply our formalization of probability theory to specify an...
AbstractIn [R.J. Corin, J.I. den Hartog, A probabilistic hoare-style logic for game-based cryptograp...
In [R.J. Corin, J.I. den Hartog, A probabilistic hoare-style logic for game-based cryptographic proo...
AbstractWe analyse two recent probabilistic primality testing algorithms; the first one is derived f...
AbstractWe study the existence of efficient approximation methods to verify quantitative specificati...
We solve two fundamental problems of probabilistic reasoning: given finitely many conditional probab...
AbstractModel checking is an algorithmic method allowing to automatically verify if a system which i...
We study quantitative reasoning about probabilistic programs. In doing so, we investigate two main a...
Probabilistic (or quantitative) verification is a branch of formal methods dealing with stochastic m...
Probabilistic analysis is a tool of fundamental importance to virtually all scientists and engineers...
Probabilistic annotations generalise standard Hoare Logic [20] to quantitative properties of probabi...
The probabilistic guarded-command language pGCL [15] contains both demonic and probabilistic nondete...