Yahoo Suche Web Suche

Suchergebnisse

  1. Suchergebnisse:
  1. Alexandre Joel Chorin (born 25 June 1938) is an American mathematician known for his contributions to computational fluid mechanics, turbulence, and computational statistical mechanics. Chorin's work involves developing methods for solving physics and fluid mechanics problems computationally. His early work introduced several widely used numerical methods for solving the Navier-Stokes ...

  2. Chorin, Alexandre Joel and Bernard, Peter S 1973. Discretization of a vortex sheet, with an example of roll-up. Journal of Computational Physics, Vol. 13, Issue. 3, p. 423. CrossRef; Google Scholar; Chorin, Alexandre Joel 1974. Gaussian fields and random ...

  3. 27. Nov. 2013 · Alexandre J. Chorin, Jerrold E. Marsden Springer Science & Business Media , Nov 27, 2013 - Science - 172 pages Mathematics is playing an ever more important role in the physical and biological sciences, provoking a blurring of boundaries between scientific disciplines and a resurgence of interest in the modern as weil as the clas sical techniques of applied mathematics.

  4. Prediction from Partial Data, Renormalization, and Averaging. Alexandre J. Chorin. Department of Mathematics, UC, Berkeley, USA 94720, Ole H. Hald

  5. A.J. Chorin et al./Physica D 166 (2002) 239–257 241 with Hamiltonian H, one can use as initial distribution the canonical distribution with density (x) = Z−1 e−H(x), where Zis a normalization constant. Hamiltonian systems are often of interest, and the canonical distribution is often natural for physical reasons. These choices simplify ...

  6. 3. Okt. 2014 · Alexandre Chorin, a mathematician with Berkeley Lab’s Computational Research Division and a University Professor of mathematics at UC Berkeley, was named today by President Obama as a recipient of the National Medal of Science, the nation’s highest honor for achievement and leadership in advancing the fields of science and technology.

  7. Abstract. The high-frequency component of the random solution of a model problem is shown to be statistically orthogonal to the Gaussian component. This is shown to be a consequence of the existence of an equilibrium range. It is concluded that random flow fields can be viewed as being approximately Gaussian only in a very special sense and, in ...