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  • Branch in GPU2022-05-31 11:03:55

    What is it about shaders that even potentially makes if statements performance problems? It has to do with how shaders get executed and where GPUs get their massive computing performance from. Separate shader invocations are usually executed in parallel,

  • 一个成功的Git 分支模式2022-02-23 16:01:28

    转自:http://nvie.com/posts/a-successful-git-branching-model/ 在这篇文章里,我介绍的发展模式,我已经介绍了我所有的项目(都是在工作和私人)大约一年以前,我已被证明是非常成功的。 I’ve been meaning to write about it for a while now, but I’ve never really found the ti

  • branch and price求解VRPTW问题代码详解2021-06-17 23:54:01

    一、前言 记得公众号很久之前推出过一个branch and price的概念推文,后来小编找到了部分(不完整)的代码,经过研究以后补齐了这部分代码,能够运行以后也分享了给大家。详情可以看: 干货 | 10分钟带你掌握branch and price(分支定价)算法超详细原理解析) 干货 | Branch and Price算法求解VRPTW

  • 干货 | Branch and Price算法求解VRPTW问题(附JAVA代码分享)2021-06-02 17:51:35

    前两天小编刚忙完手头上的事情,闲了下来,然后顺便研究了一下Branch and Price的算法。刚好,国内目前缺少这种类型算法的介绍和代码实现,今天就给大家分享一下咯。代码出自国外一个大神@author mschyns之手。代码没有写调用模块,这一部分是小编后续补上去的,以便大家能运行(真是太贴心啦呜

  • 文献阅读——Conflict-Driven Clause Learning SAT Solvers2020-09-25 11:00:40

      Joao Marques-Silva, Ines Lynce and Sharad Malik     4.1. Introduction   One of the main reasons for the widespread use of SAT in many applications is that Conflict-Driven Clause Learning (CDCL) Boolean Satisfiability (SAT) solvers are so effectiv

  • 决策变元选择_决策分支策略——文献学习Exponential Recency Weighted Average Branching Heuristic for SAT Solvers2020-06-28 10:01:35

      Exponential Recency Weighted Average Branching Heuristic for SAT Solvers Jia Hui Liang, Vijay Ganesh, Pascal Poupart,等. Exponential Recency Weighted Average Branching Heuristic for SAT Solvers[C]// Thirtieth Aaai Conference on Artificial Intelligence. A

  • 决策变元选择_决策分支策略——文献学习An Empirical Study of Branching Heuristics Through the Lens of Global Learning Ra2020-06-22 09:51:27

    An Empirical Study of Branching Heuristics Through the Lens of Global Learning Rate Liang J.H., V.K. H.G., Poupart P., Czarnecki K., Ganesh V. (2017) An Empirical Study of Branching Heuristics Through the Lens of Global Learning Rate. In: Gaspers S., Wals

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