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Titlebook: Algorithms -- ESA 2010, Part II; 18th Annual European Mark Berg,Ulrich Meyer Conference proceedings 2010 Springer-Verlag Berlin Heidelberg

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https://doi.org/10.1007/978-3-322-98650-4 same amortized bounds for other operations. More precisely, the new pairing heap requires: no cost per ., .(1) per . and ., . per ., and . per ., where . is the size of the priority queue at the time the operation is performed. These bounds are the best known for any self-adjusting heap, and match
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https://doi.org/10.1007/978-3-642-15781-3CSP; Matchings; algorithmic aspects; algorithms; calculus; data structures; databases; graph algorithms; par
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https://doi.org/10.1007/978-3-658-36010-8roper . and a properly . can abundantly surpass the best expected technology advancements and the help coming from (sophisticated) operating systems or heuristics. As a result, data compression and indexing nowadays play a key role in the design of modern algorithms for applications that manage mass
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https://doi.org/10.1007/978-3-662-26437-9-hard. In addition, we establish a variety of hardness results and lower bounds regarding the duration of unilateral and coalitional improvement dynamics. They continue to hold even for convergence to approximate equilibria.
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,Erklärung der Geschwulstentwicklung,thm is optimal up to constants. Our algorithm uses a primal dual convex programming scheme. To the best of our knowledge this is the first time that such a scheme is used in the online framework..We also discuss an application of the framework in display advertising business in the last section.
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