Ihre Diagnose? Fall 7

Signalraumdetektion und ihre Anwendungen

Derivative Securities – Fall 2007– Section 7 Notes

which is a Riemann sum for ∫ b a g 2(s) ds. By the way: since we are assuming that g is deterministic, ∫ b a g(s)dw(s) is a Gaussian random variable. (Proof: recall that a sum of Gaussians is Gaussian; therefore ∑ i g(si)[w(si+1) − w(si)] is Gaussian. Now use the fact that a limit of Gaussians is Gaussian.) Since we know its mean and variance, we have completely characterized this random variable.

Algorithmic Modeling and Complexity Fall 2002 Lecture 7 : 23 September

The Maximum Independent Set problem often arises in the following form: given n tasks which compete for the same resources, compute the largest set of tasks which can be performed at the same time without sharing resources. More generally, in case the tasks have weights (priorities), one may ask for the set of tasks of largest total weight which can be performed at the same time. This is called...

Approximation Algorithms Fall Semester , 2003 Lecture 7 : Sept 22 , 2003

1 Multicut We will now study an example of randomized rounding, where the geometry of the solution space is used in constructing the approximation algorithm. The multicut probem has as input an undirected graph G = (V,E), nonnegative costs associated with each edge (i.e. c : E → Q) and k terminal pairs (s1, t1), (s2, t2), . . ., (sk, tk). A multicut is a subset of edges, F , such that removing ...

Xiao - Lin Wu : DSC 875 ( 2009 Fall ) Chapter 7

Analysis of variance (ANOVA) refers to statistical models and associated procedures, in which the observed variance is partitioned into components due to different explanatory variables. It provides a statistical test concerning if the means of these several groups are all equal. In its simplest form, ANOVA is equivalent to Student's t-test when only two groups are invloved. The analysis of var...