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Titlebook: Computational Discrete Mathematics; Advanced Lectures Helmut Alt Textbook 2001 Springer-Verlag Berlin Heidelberg 2001 Computer.Discrete mat

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樓主: obdurate
21#
發(fā)表于 2025-3-25 07:09:32 | 只看該作者
22#
發(fā)表于 2025-3-25 09:49:33 | 只看該作者
https://doi.org/10.1007/978-3-658-38187-5in high dimensions (in particular for . ≥ 561, due to Kahn & Kalai, Nilli, and Raigorodskii), and yields the known counter-examples to Borsuk’s problem posed in 1933..Here we ask whether there might be counterexamples in low dimension as well. We show that there is no counterexample to the 0/1-Borsu
23#
發(fā)表于 2025-3-25 12:41:07 | 只看該作者
Codes over ,, ,inary nonlinear codes better than comparable binary linear codes. This connection between linear codes over . . and nonlinear binary codes was also the breakthrough in solving an old puzzle of the apparent duality between the nonlinear Kerdock and Preparata codes. We present a description of this puzzle and a brief introduction to codes over . ..
24#
發(fā)表于 2025-3-25 16:14:23 | 只看該作者
Degree Bounds for Long Paths and Cycles in ,-Connected Graphs,the vertex set .. To see this, consider a longest .-path . and a longest .- path . in . For the first vertex . on . in . we then have . and ., consequently .. Here . and |G| denote the number of vertices on . and in . respectively.
25#
發(fā)表于 2025-3-25 23:51:22 | 只看該作者
26#
發(fā)表于 2025-3-26 01:50:43 | 只看該作者
https://doi.org/10.1007/3-540-45506-XComputer; Discrete mathematics; Mapping; algorithms; coding; coding theory; combinatorics; computational al
27#
發(fā)表于 2025-3-26 06:20:18 | 只看該作者
978-3-540-42775-9Springer-Verlag Berlin Heidelberg 2001
28#
發(fā)表于 2025-3-26 08:31:34 | 只看該作者
29#
發(fā)表于 2025-3-26 16:25:30 | 只看該作者
30#
發(fā)表于 2025-3-26 18:20:55 | 只看該作者
Explicit and Implicit Enforcing - Randomized Optimization,veral linear time methods are available, and some of them even behave ‘well’ when the dimension grows; at least, no better provable behavior is known. Many of the methods can be interpreted as variants of the simplex algorithm, with appropriately chosen randomized pivot rules.
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