We extend the concept of CDF-series to the context of several variables, and show that the series solution of first order differential equations y′ = x(t, y) and functional equation y = x(t, y), with x CDF in two variables, are CDF-series. We also give many effective closure properties for CDF-series in several variables. 1. CDF-series in one variable We present in this paper, new properties an...

The method of distributions is developed for systems that are governed by hyperbolic conservation laws with stochastic forcing. yields a deterministic equation the cumulative distribution function (CDF) system state, e.g., flow velocity an inviscid Burgers random source coefficients. This achieved without recourse to any closure approximation. CDF model verified against Monte Carlo (MC) simulat...

We report on the status of top and b quark physics at the Fermilab Tevatron collider. In particular, we summarize the knowledge obtained by CDF and D 6O on the top quark mass and production cross-section. We also present some new interesting results obtained by CDF with the discovery of the Bc meson and a first low statistic measurement of sin(2 ) at an hadronic collider. c 1998 by Giorgio Apol...