Titlebook: LATIN 2022: Theoretical Informatics; 15th Latin American Armando Casta?eda,Francisco Rodríguez-Henríquez Conference proceedings 2022 Sprin

Pierce

書(shū)目名稱(chēng)LATIN 2022: Theoretical Informatics影響因子(影響力)




書(shū)目名稱(chēng)LATIN 2022: Theoretical Informatics影響因子(影響力)學(xué)科排名




書(shū)目名稱(chēng)LATIN 2022: Theoretical Informatics網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱(chēng)LATIN 2022: Theoretical Informatics網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱(chēng)LATIN 2022: Theoretical Informatics被引頻次




書(shū)目名稱(chēng)LATIN 2022: Theoretical Informatics被引頻次學(xué)科排名




書(shū)目名稱(chēng)LATIN 2022: Theoretical Informatics年度引用




書(shū)目名稱(chēng)LATIN 2022: Theoretical Informatics年度引用學(xué)科排名




書(shū)目名稱(chēng)LATIN 2022: Theoretical Informatics讀者反饋




書(shū)目名稱(chēng)LATIN 2022: Theoretical Informatics讀者反饋學(xué)科排名

monochromatic

獨(dú)特性

Guilherme C. M. Gomes,Bruno P. Masquio,Paulo E. D. Pinto,Vinicius F. dos Santos,Jayme L. Szwarcfiterers and researchers, including programmers, computer and system infrastructure designers, and developers. This book can also be beneficial for business managers, entrepreneurs, and investors.?.978-1-4899-9919-1978-1-4614-1415-5

Hyaluronic-Acid

地名表

Elastic-Degenerate String Matching with?1 Errorfor ., the existing algorithm runs in . time in the worst case. Here we make progress in this direction. We show that 1-EDSM can be solved in . or . time under edit distance. For the decision version of the problem, we present a faster .-time algorithm. Our algorithms rely on non-trivial reductions

Malaise

Lucubrate

Weighted Connected Matchings graphs, starlike graphs, planar bipartite graphs, and subcubic planar graphs, while solvable in linear time for trees and graphs having degree at most two. When we restrict edge weights to be non-negative only, we show that the problem turns out to be polynomially solvable for chordal graphs, while

SEMI

上坡

STYX

A Parameterized Approximation Algorithm for?the?Multiple Allocation ,-Hub Centerand .. Compared to classical location problems, computing the length of a path depends on non-local decisions. This turns standard dynamic programming algorithms impractical, thus our algorithm approximates this length using only local information.