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Titlebook: Methodenlehre der Rechtswissenschaft; Karl Larenz Textbook 1991Latest edition Springer-Verlag Berlin Heidelberg 1991 Auslegung.Jurispruden

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樓主: Malinger
31#
發(fā)表于 2025-3-27 00:24:10 | 只看該作者
32#
發(fā)表于 2025-3-27 02:04:49 | 只看該作者
33#
發(fā)表于 2025-3-27 08:52:50 | 只看該作者
Karl Larenz a subsequence of some given word (sequence, string), while allowing for plateaus. We define a plateau-.-rollercoaster as a word consisting of an alternating sequence of (weakly) increasing and decreasing ., with each run containing at least . . elements, allowing the run to contain multiple copies
34#
發(fā)表于 2025-3-27 11:21:12 | 只看該作者
Karl LarenzThe busy beaver function . is uncomputable and, from below, only 4 of its values, ., are known to date. This leads one to ask: from above, what is the smallest BB value that encodes a major mathematical challenge? Knowing BB(4,888) has been shown by Yedidia and Aaronson [.] to be at least as hard as
35#
發(fā)表于 2025-3-27 15:18:51 | 只看該作者
36#
發(fā)表于 2025-3-27 20:01:47 | 只看該作者
a subsequence of some given word (sequence, string), while allowing for plateaus. We define a plateau-.-rollercoaster as a word consisting of an alternating sequence of (weakly) increasing and decreasing ., with each run containing at least . . elements, allowing the run to contain multiple copies
37#
發(fā)表于 2025-3-28 01:20:08 | 只看該作者
Karl Larenzand since Generalised Collatz Maps are known to simulate Turing Machines [Conway, 1972], it seems natural to ask what kinds of algorithmic behaviours it embeds. We define a quasi-cellular automaton that exactly simulates the Collatz process on the square grid: on input ., written horizontally in bas
38#
發(fā)表于 2025-3-28 04:10:07 | 只看該作者
39#
發(fā)表于 2025-3-28 07:22:55 | 只看該作者
Karl Larenz, building on prior results for single-target reachability on Branching Markov Decision Processes (BMDPs)..We provide two separate algorithms for “almost-sure” and “l(fā)imit-sure” multi-target reachability for OBMDPs. Specifically, given an OBMDP, ., given a starting non-terminal, and given a set of .
40#
發(fā)表于 2025-3-28 11:16:10 | 只看該作者
Karl Larenz, building on prior results for single-target reachability on Branching Markov Decision Processes (BMDPs)..We provide two separate algorithms for “almost-sure” and “l(fā)imit-sure” multi-target reachability for OBMDPs. Specifically, given an OBMDP, ., given a starting non-terminal, and given a set of .
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