cliche 发表于 2025-3-25 07:09:32
http://reply.papertrans.cn/24/2323/232246/232246_21.pngBanquet 发表于 2025-3-25 09:49:33
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散开 发表于 2025-3-25 12:41:07
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 . ..AMBI 发表于 2025-3-25 16:14:23
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.全部 发表于 2025-3-25 23:51:22
http://reply.papertrans.cn/24/2323/232246/232246_25.pngApoptosis 发表于 2025-3-26 01:50:43
https://doi.org/10.1007/3-540-45506-XComputer; Discrete mathematics; Mapping; algorithms; coding; coding theory; combinatorics; computational al拾落穗 发表于 2025-3-26 06:20:18
978-3-540-42775-9Springer-Verlag Berlin Heidelberg 2001PANIC 发表于 2025-3-26 08:31:34
http://reply.papertrans.cn/24/2323/232246/232246_28.pngGanglion-Cyst 发表于 2025-3-26 16:25:30
http://reply.papertrans.cn/24/2323/232246/232246_29.pngOutshine 发表于 2025-3-26 18:20:55
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.