找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Experimental Algorithms; 11th International S Ralf Klasing Conference proceedings 2012 Springer-Verlag Berlin Heidelberg 2012 compact data

[復(fù)制鏈接]
樓主: breath-focus
31#
發(fā)表于 2025-3-26 21:28:37 | 只看該作者
32#
發(fā)表于 2025-3-27 03:35:08 | 只看該作者
New Results about Multi-band Uncertainty in Robust Optimizationinvestigate the problem of separating cuts imposing robustness and we show that the separation can be efficiently operated by solving a min-cost flow problem. Finally, we test the performance of our new approach to Robust Optimization on realistic instances of a Wireless Network Design Problem subject to uncertainty.
33#
發(fā)表于 2025-3-27 06:49:08 | 只看該作者
Branch Mispredictions Don’t Affect Mergesortdata, mergesort was the fastest sorting method, then came quicksort, and in-situ mergesort was the slowest of the three. We did a similar kind of decoupling for quicksort, but the transformation made it slower.
34#
發(fā)表于 2025-3-27 13:16:15 | 只看該作者
35#
發(fā)表于 2025-3-27 15:18:55 | 只看該作者
The Dilemmas of Performative Citizenshipl and requires .(Φ ·Δ) messages and Θ(. ·Δ) space per node. The experiments are based on both real-world and artificial instances and show that . is always the best choice in terms of memory requirements, while in terms of messages . outperforms . on real-world instances, whereas . is the best choice on artificial instances.
36#
發(fā)表于 2025-3-27 18:56:54 | 只看該作者
37#
發(fā)表于 2025-3-28 00:24:12 | 只看該作者
38#
發(fā)表于 2025-3-28 02:33:40 | 只看該作者
39#
發(fā)表于 2025-3-28 09:06:21 | 只看該作者
Computing Strong Articulation Points and Strong Bridges in Large Scale Graphsnt in practice, and are able to run on large scale graphs, i.e., on graphs with ten million vertices and half billion edges. Our experiments on such graphs highlight some properties of strong articulation points, which might be of independent interest.
40#
發(fā)表于 2025-3-28 11:52:37 | 只看該作者
Ralf KlasingFast track conference proceedings.State of the art research.Up to date results
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評(píng) 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國(guó)際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-7 18:09
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
福清市| 织金县| 木兰县| 西乌珠穆沁旗| 锡林浩特市| 宁阳县| 乃东县| 班玛县| 汝州市| 右玉县| 通山县| 和田市| 瑞昌市| 曲松县| 资中县| 满洲里市| 琼结县| 称多县| 腾冲县| 邮箱| 嵊州市| 启东市| 象州县| 剑川县| 治多县| 江北区| 抚顺市| 永修县| 肥城市| 于都县| 侯马市| 怀仁县| 阿图什市| 鄂尔多斯市| 大关县| 札达县| 南江县| 莱芜市| 朝阳区| 堆龙德庆县| 定结县|