Algorithms - ESA 2014: 22th Annual European Symposium, by Andreas S. Schulz, Dorothea Wagner

By Andreas S. Schulz, Dorothea Wagner

This publication constitutes the refereed complaints of the 22st Annual ecu Symposium on Algorithms, ESA 2014, held in Wrocław, Poland, in September 2014, as a part of ALGO 2014. The sixty nine revised complete papers provided have been conscientiously reviewed and chosen from 269 preliminary submissions: fifty seven out of 221 in song A, layout and research, and 12 out of forty eight in music B, Engineering and purposes. The papers current unique study within the parts of layout and mathematical research of algorithms; engineering, experimental research, and real-world functions of algorithms and knowledge constructions.

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Additional info for Algorithms - ESA 2014: 22th Annual European Symposium, Wrocław, Poland, September 8-10, 2014. Proceedings (Lecture Notes in Computer Science)

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Pop-Front. Consider a sequence (f , f, m, b, b ). If f is empty, we populate it as follows. If f is not empty, in which case it must be full, we swap f with f . Otherwise, assume f to be empty. If m is not empty, we pop from m, obtaining a nonempty chunk c and a new middle sequence m ; we then update the sequence to (c, f, m , b, b ). Otherwise, assume m to be empty. If b is not empty, in which case it must be full, we swap b with f . Otherwise, if b is empty, we swap b with f . ) At this point, the front-outer buffer is not empty, so we can pop from this buffer.

Sparse Chunks. Chunking delivers efficiency improvements by amortizing the cost of slow operations over a number of fast operations. Such amortization works, of course, only if chunks are densely populated. When chunks are sparsely populated, then the amortization arguments breaks and performance and memory utilization drops. For example, if chunks have capacity K but store only 1 item, then amortization fails entirely and the memory footprint of the sequence is roughly K times bigger than necessary.

Chargu´eraud, and M. Rainey To measure the relative efficiency of interleaved sequences of pushes and pops, we ran experiments involving the depth-first and breadth-first search of a directed graph. , lifo stack and fifo queue ADTs). We considered three graphs that each demonstrates key characteristics of our sequence data structures. Each graph is represented in adjacency-list format and uses 64-bit integer values to represent vertex ids. Looking at DFS and BFS, we see that, in every case except for DFS on tree, our chunked data structures are competitive with STL deques — sometimes slower and sometimes faster, but never differing by more than a few percent.

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