Titlebook: Kennzeichen und Wandel der Politikberichterstattung im Boulevardjournalismus; Ursula Alexandra Ohliger Book 2019 Springer Fachmedien Wiesb

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es a second parameter to the program). If the set of possible identities grows double exponentially in ., then by a simple reduction to the anonymous case one can show that the lower bound holds as well [MW]..In this paper we show that the Ω(.log.) bit lower bound for computing any non-constant func

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Ursula Alexandra Ohliger-delay model. The last two models correspond to speed-independent and delay-insensitive circuits, respectively. We point out that networks of components are commonly operated in the ‘input-output mode’ (where inputs may change as soon as outputs have responded to a previous input change), whereas ga

Goblet-Cells

Ursula Alexandra Ohligerbiconvex graphs by means of computational geometry. Furthermore for bipartite permutation graphs (a subclass of biconvex graphs) the rectangle cover approach yields a greedy solution which is faster than the dynamic programming solution given by Steiner/Stewart. An optimal rectangle cover can be det

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Ursula Alexandra Ohliger the parallel mechanism is very general with respect to the transformation of the connections from mother nodes to daughter graphs. These tools allow to simulate a sequential derivation step by two parallel ones and, vice versa, to simulate a parallel derivation step by a sequence of sequential step

peritonitis

Synovial-Fluid

Ursula Alexandra Ohliger the parallel mechanism is very general with respect to the transformation of the connections from mother nodes to daughter graphs. These tools allow to simulate a sequential derivation step by two parallel ones and, vice versa, to simulate a parallel derivation step by a sequence of sequential step

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Ursula Alexandra Ohliger the parallel mechanism is very general with respect to the transformation of the connections from mother nodes to daughter graphs. These tools allow to simulate a sequential derivation step by two parallel ones and, vice versa, to simulate a parallel derivation step by a sequence of sequential step