Many Markov chain Monte Carlo techniques currently available rely on discrete-time re-versible Markov processes whose transition kernels are variations of the Metropolis–Hastingsalgorithm. We explore and generalize an alternative scheme recently introduced in the physicsliterature [27] where the target distribution is explored using a continuous-time non-reversiblepiecewise-...

development of a numerical model which describes launching of offshore jackets from barge is presented in this paper. in this model, in addition to capabilities of commercial softwares, water entry forces on jacket members and an implicit newmark solution technique are included. the results are in general agreement with other numerical software’s available (sacs). fluid forces acting on jacket ...

measurement of the loads exerted on the limb is a fundamental part of designing of an assistive device, which has been done by using strain gauges or a transducer. although calculation of loads applied on an orthosis coefficients achieved from calibration is a standard way, most of researchers determined the loads based on available equations. therefore, the aim of this research is finding the ...

Summary This article introduces the hug and hop Markov chain Monte Carlo algorithm for estimating expectations with respect to an intractable distribution. The alternates between two kernels, referred as hop. Hug is a nonreversible kernel that repeatedly applies bounce mechanism from recently proposed bouncy particle sampler produce proposal point far current position yet on almost same contour...

Secure two-party and multiparty computation has long stood at the center of the foundations of theoretical cryptography. Recently, however, interest has grown regarding the efficiency of such protocols and their application in practice. As a result, there has been significant progress on this problem and it is possible to actually carry out secure computation for non-trivial tasks on reasonably...

In this work, we establish L2-exponential convergence for a broad class of piecewise deterministic Markov processes recently proposed in the context process Monte Carlo methods and covering particular randomized Hamiltonian (Trans. Amer. Math. Soc. 367 (2015) 3807–3828; Ann. Appl. Probab. 27 (2017) 2159–2194), zig-zag (Ann. Statist. 47 (2019) 1288–1320) bouncy particle Sampler (Phys. Rev. E 85 ...

In this paper, we study the side-channel resistance of the implementation of the ECDSA signature scheme in Android’s standard cryptographic library. We show that, for elliptic curves over prime fields, one can recover the secret key very efficiently on smartphones using electromagnetic side-channel and well-known lattice reduction techniques. We experimentally show that elliptic curve operation...

In gravity below Earth-normal, a person should be able to take higher leaps in running. We asked 10 subjects to run on a treadmill in five levels of simulated reduced gravity and optically tracked centre-of-mass kinematics. Subjects consistently reduced ballistic height compared with running in normal gravity. We explain this trend by considering the vertical take-off velocity (defined as maxim...