婴儿 发表于 2025-3-27 00:24:10
http://reply.papertrans.cn/64/6321/632027/632027_31.pngCommemorate 发表于 2025-3-27 02:04:49
http://reply.papertrans.cn/64/6321/632027/632027_32.pngmusicologist 发表于 2025-3-27 08:52:50
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 copiesmicronized 发表于 2025-3-27 11:21:12
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 asCANDY 发表于 2025-3-27 15:18:51
http://reply.papertrans.cn/64/6321/632027/632027_35.pngUTTER 发表于 2025-3-27 20:01:47
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新义 发表于 2025-3-28 01:20:08
Karl Larenzand since Generalised Collatz Maps are known to simulate Turing Machines , 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雇佣兵 发表于 2025-3-28 04:10:07
http://reply.papertrans.cn/64/6321/632027/632027_38.pngexpunge 发表于 2025-3-28 07:22:55
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 “limit-sure” multi-target reachability for OBMDPs. Specifically, given an OBMDP, ., given a starting non-terminal, and given a set of .胆汁 发表于 2025-3-28 11:16:10
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 “limit-sure” multi-target reachability for OBMDPs. Specifically, given an OBMDP, ., given a starting non-terminal, and given a set of .