Transcript of Raising Silver Salmon

This story is an excerpt from a longer interview that was collected as part of the Launching through the Surf: The Dory Fleet of Pacific City project. In this story, Jim Allen recounts raising silver salmon in the creek behind his house

The European Common Market and the General Agreement on Tariffs and Trade: A Study in Compatability

Gotland is famous around the world for its unique nature. The agriculture here has always been an important source of income and part of the identity of the island. But today the profession has low status and hard to survive. How can the interest for farming be increased? Gotlandsgården is an investigation about how the agriculture could develop. It strives to re-establish the status of the farmer profession and to become the node for the Gotland's farmers, inhabitants and the tourists.  an investigation about how the agriculture could develop. It strives to re-establish the status of the farmer profession and to become the node for the Gotland's farmers, inhabitants and the tourists.Gotland är känt för sin fantastiska natur. Lantbruket här har alltid varit en viktig inkomskälla och har alltid varit en viktig del i Gotlands identitet. Idag har inte bondeyrket samma rykte som förr och det är svårt att få tillräckligt med elever till lantbruksskolan i Roma. Hur kan man öka intresset för yrket och Gotlands landsbygd. Det här projektet är en undersökning i hur man genom arkitektoniska tillägg kan skapa en grön nod för Gotlands gröna näringar och lantbruksskola och på det sättet blåsa nytt liv i landsbygden på Gotland

Distributional convergence for the number of symbol comparisons used by QuickSort

Most previous studies of the sorting algorithm QuickSort have used the number of key comparisons as a measure of the cost of executing the algorithm. Here we suppose that the n independent and identically distributed (i.i.d.) keys are each represented as a sequence of symbols from a probabilistic source and that QuickSort operates on individual symbols, and we measure the execution cost as the number of symbol comparisons. Assuming only a mild "tameness" condition on the source, we show that there is a limiting distribution for the number of symbol comparisons after normalization: first centering by the mean and then dividing by n. Additionally, under a condition that grows more restrictive as p increases, we have convergence of moments of orders p and smaller. In particular, we have convergence in distribution and convergence of moments of every order whenever the source is memoryless, that is, whenever each key is generated as an infinite string of i.i.d. symbols. This is somewhat surprising; even for the classical model that each key is an i.i.d. string of unbiased ("fair") bits, the mean exhibits periodic fluctuations of order n.Comment: Published in at http://dx.doi.org/10.1214/12-AAP866 the Annals of Applied Probability (http://www.imstat.org/aap/) by the Institute of Mathematical Statistics (http://www.imstat.org