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17 Jul 2016: is the change of basis matrix between two families of orthogonal polynomials, is a useful new tool for the spectral theory of the Jacobi operators. ... matrices, leading to a new class of fast polynomial transforms.I am very grateful to the London

22 Aug 2016: The general Potts partition function of (1.6) posessome new difficulties. Assume first that h = 0. ... Wiley-Interscience Series in Discrete Mathematics and Optimization. Wiley-Interscience, New York, 2000.

10 May 2016: 3. Pivot on the element aij. (i.e., get the equations into the appropriate formfor the new basic solution.). ... tricks to compute the inverse of the new AB from the old A1B (using the fact that.

7 Mar 2016: α := 2a, β := 2b, γ :=. 2c,. and the main result, Theorem 2.5, is expressed in terms of these new variables.

14 May 2016: Modelling within banks and other nancial institutions in order to devise new, sometimes tailored, products is one element of the problem. ... high-volume market with substantial trading activity even overtime periods where no new information available

10 May 2016: 3. Pivot on the element aij. (i.e., get the equations into the appropriate formfor the new basic solution.). ... tricks to compute the inverse of the new AB from the old A1B (using the fact that.

15 Nov 2016: Recently, van den Berg, Bolthausen and den Hollander [37] advocated a new geometric character-istic, the torsional rigidity of the complement of a Wiener sausage, as a way to probe the

23 Mar 2016: Sensitivity of mixing times in Eulerian digraphs. Lucas Boczkowski Yuval Peres† Perla Sousi‡. Abstract. Let X be a lazy random walk on a graph G. If G is undirected, then the mixing time isupper bounded by the maximum hitting time of the graph.

28 Oct 2016: Martin-gales and Beyond. Nova York: Springer-Verlag, 1999. (Probability andits Applications (New York)).

8 Mar 2016: These give rise to new typesof optimization problem which require new ways of thinking. ... For example, suppose p = 0.6 and 6 trials with the new drug have givens = f = 3.