‎the water wave generation by wave paddle and a freely falling rigid body are examined by using an incompressible smoothed particle hydrodynamics (isph)‎. ‎in the current isph method‎, ‎the pressure was evaluated by solving pressure poisson equation using a semi-implicit algorithm based on the projection scheme and the source term of pressure poisson equation contains both of divergence free ve...

The mu-basis of a planar rational curve is a polynomial ideal basis comprised of two polynomials that greatly facilitates computing the implicit equation of the curve. This paper defines a mu-basis for a rational ruled surface, and presents a simple algorithm for computing the mu-basis. The mu-basis consists of two polynomials p(x, y, z, s) and q(x, y, z, s) that are linear in x, y, z and degre...

Consider n players whose ‘‘scores’’ are independent and identically distributed values fXigi 1⁄4 1 from some discrete distribution F. We pay special attention to the cases where (i) F is geometric with parameter p-0 and (ii) F is uniform on f1;2; . . . ;Ng; the latter case clearly corresponds to the classical occupancy problem. The quantities of interest to us are, first, the U-statistic W whic...

We give a derivation of the frequentist predictive distribution for a simple Poisson model, show how this simple model may be adapted to fit a claim count triangle, and demonstrate how the predictive distribution of aggregates of future claim counts may be computed for the adapted model. Quantiles and prediction intervals are readily obtained. Quasi-Poisson models for incremental paid losses ar...

Nuclear reactions in stars occur between nuclei in the high-energy tail of the energy distribution and are sensitive to possible deviations from the standard equilibrium thermal-energy distribution. We are able to derive strong constraints on such deviations by using the detailed helioseismic information of the solar structure. If a small deviation is parameterized with a factor exp{−δ(E/kT) 2 ...

New uniform asymptotic approximations with error bounds are derived for a generalized total variation distance of Poisson approximations to the Poisson-binomial distribution. The method of proof is also applicable to other Poisson approximation problems. MSC 2000 Subject Classifications: Primary 62E17; secondary 60C05.

We briefly describe sensitivity analysis methods for simulation via stochastic intensities and give applications on derivative estimation of event averages. We consider a process depending on a parameter and an event-counting process and obtain expressions for the derivatives of the expected number of events occurring while the process is in a given set. The necessary assumptions of these expre...

Consider random regular graphs of order n and degree d = d(n) ≥ 3. Let g = g(n) ≥ 3 satisfy (d− 1)2g−1 = o(n). Then the number of cycles of lengths up to g have a distribution similar to that of independent Poisson variables. In particular, we find the asymptotic probability that there are no cycles with sizes in a given set, including the probability that the girth is greater than g. A corresp...

This paper provides a precise sense in which the time t map for the Euler equations of an ideal fluid in a region in Rn (or a smooth compact n-manifold with boundary) is a Poisson map relative to the Lie-Poisson bracket associated with the group of volume preserving diffeomorphism group. This is interesting and nontrivial because in Eulerian representation, the time t maps need not be C from th...