Notes on Decimal Coinage and Approximation

Notes on Poisson Approximation

i=1 pi ≤ max 1≤i≤n pi, (6.1) where λ := EW = ∑n i=1 pi. Clearly, if the pi’s are not all small, there may be little content in (6.1). This is to be expected, since then EW = λ and VarW = λ − ∑n i=1 p 2 i need no longer be close to one another, whereas Poisson distributions have equal mean and variance. This makes it more natural to try to find a family of distributions for the approximation wit...

fragmentability and approximation

in chapter 1, charactrizations of fragmentability, which are obtained by namioka (37), ribarska (45) and kenderov-moors (32), are given. also the connection between fragmentability and its variants and other topics in banach spaces such as analytic space, the radone-nikodym property, differentiability of convex functions, kadec renorming are discussed. in chapter 2, we use game characterization...

Lecture Notes on Approximation Algorithms Volume I

These lecture notes are based on the course CS351 (Dept. of Computer Science, Stanford University) o ered during the academic year 1991-92. The notes below correspond to the rst half of the course. The second half consists of topics such as MAX SNP, cliques, and colorings, as well as more specialized material covering topics such as geometric problems, Steiner trees and multicommodity ows. The ...

Lecture Notes on Geometric Approximation Algorithms

Notes on Approximation Algorithms Fall 1998

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