Search - graph algorithms

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[Software Engineering] GraphTheoryAlgorithmAndMATLABcode DL : 0: 图论算法和Ｍａｔｌａｂ实现该算法的源代码-Graph theory, algorithms and Matlab source code of the algorithm
Date : 2025-12-25 Size : 46kb User : 陈林
[Software Engineering] branchandbound DL : 0: The basis of branch and bound algorithms is a ranking function. The ranking function assigns a value to each node in the graph. At each step, a branch and bound algorithm uses the ranking function to decide which node to expand next. In contrast, the usual DFS (Depth First Search) and BFS( Breadth First Search) exploration algorithms perform a blind search of the graph. Ideally, the ranking function, c(x), ranks nodes based on the cost of a minimal solution reachable from node x. The problem with this ranking function is that the minimal solution must be known ahead of time. Instead, the ranking function uses an estimate, g(x), of the cost of a minimal solution reachable from node x. Using g(x) to rank nodes may require exploring unnecessary nodes in the graph?particularly if g(x) is not a good estimate.The final element of the ranking function measures the cost of reaching a node from the root. As the searches gets farther from the root node, the node falls in the ranking.
Date : 2025-12-25 Size : 8kb User : sathiyaraj124
[Software Engineering] graph-theory DL : 0: 算法中的图论，各种图的算法详解，很值得参考-Algorithm in graph theory, a variety of graph algorithms to explain, it is worth considering
Date : 2025-12-25 Size : 2.48mb User : cheng
[Software Engineering] nips2006 DL : 0: Our normalization procedure can be used to improve the performance of many existing graph matching algorithms, including spectral matching, graduated assignment and semidefinite programming.-Our normalization procedure can be used to improve the performance of many existing graph matching algorithms, including spectral matching, graduated assignment and semidefinite programming.
Date : 2025-12-25 Size : 408kb User : zyx93
[Software Engineering] TKR-ECCV08 DL : 0: We describe a novel graph matching optimization technique, which we refer to as dual decomposition (DD), and demonstrate on a variety of examples that this method outperforms existing graph matching algorithms-We describe a novel graph matching optimization technique, which we refer to as dual decomposition (DD), and demonstrate on a variety of examples that this method outperforms existing graph matching algorithms
Date : 2025-12-25 Size : 164kb User : zyx93
[Software Engineering] MATLAB DL : 1: 主要介绍了各种图论算法及其他们的matlab程序实现，这本书很好的帮助了入门的新手学习图论算法.-Introduces a variety of graph algorithms and their matlab program, this book is a good help the novice learning graph theory algorithms.
Date : 2025-12-25 Size : 24.08mb User : 糖果
[Software Engineering] cloud-classification DL : 0: 图像分割是一种重要的图像分析技术，对图像分割的研究一直是图像技术研究中的热点和焦点。分水岭算法是基于数学形态学理论的图像分割算法，但是对噪声敏感且存在过分割的现象。为提高图像分割效果，本文通过对影像进行滤波处理，用改进的快速区域合并算法优化分水岭算法进行影像分割。-In this work a technique for cloud detection and classification from MSG–SEVIRI (Meteosat Second Generation–Spinning Enhanced Visible and Infra-red Imager) imagery is presented. It is based on the segmentation of the multispectral images using order-invariant watershed algorithms, which are applied to the corresponding gradient images, computed by a multi-dimensional morphological operator. To reduce the over-segmentation produced by the watershed method, a RAG (Region Adjacency Graph) based region merging technique is applied, using region dissimilarity functions.
Date : 2025-12-25 Size : 1.92mb User : comewanlei
[Software Engineering] graph-and-net DL : 0: matab图与网络模型及算法，包括基本理论介绍，例子，和算法程序-matab map and network models and algorithms, including the introduction of basic theory, examples, and algorithm
Date : 2025-12-25 Size : 442kb User : gengqi
[Software Engineering] CPPAlgorithm-examples DL : 0: 好用的c++算法实现，对图论，DFS框架，排序等算法的学习非常有用-Easy to use c++ algorithms, graph theory, DFS frame, sorting algorithms, such as learning useful
Date : 2025-12-25 Size : 18kb User : wangkun
[Software Engineering] modDRF.pdf DL : 0: In this paper we present Discriminative Random Fields (DRF), a discrim- inative framework for the classification of natural image regions by incor- porating neighborhood spatial dependencies in the labels as well as the observed data. The proposed model exploits local discriminative models and allows to relax the assumption of conditional independence of the observed data given the labels, commonly used in the Markov Random Field (MRF) framework. The parameters of the DRF model are learned using penalized maximum pseudo-likelihood method. Furthermore, the form of the DRF model allows the MAP inference for binary classifica- tion problems using the graph min-cut algorithms. The performance of the model was verified on the synthetic as well as the real-world images. The DRF model outperforms the MRF model in the experiments.
Date : 2025-12-25 Size : 148kb User : asdf12341234
[Software Engineering] graphs DL : 0: Various Graph algorithms implemented in java
Date : 2025-12-25 Size : 10kb User : pratik
[Software Engineering] tulun DL : 0: 在上传的资料‘tulun’中，PPT详细介绍了图论中的基本概念，并且给出了相应程序的算法，另外附有最短路Floyd算法的源程序和dijkstra的源程序。有利于在建模过程中利用MATLAB求解图论的相关问题。-PPT paper introduces the basic concepts of graph theory, algorithms and gives the corresponding program.Floyd also accompanied by the shortest road and the Dijkstra algorithm source program source program.n favour of the modeling process using MATLAB to solve the related problems of graph theory.
Date : 2025-12-25 Size : 1.88mb User : 陈雪
[Software Engineering] Introduction-to-Algorithms DL : 0: 算法竞赛入门经典（第二版） (算法艺术与信息学竞赛) 2014年6月第一次印刷《算法竞赛入门经典(第二版)》是一本算法竞赛的入门与提高教材，把c/c++语言、算法和解题有机地结合在一起，淡化理论，注重学习方法和实践技巧。全书内容分为12 章，包括程序设计入门、循环结构程序设计、数组和字符串、函数和递归、c++与stl入门、数据结构基础、暴力求解法、高效算法设计、动态规划初步、数学概念与方法、图论模型与算法、高级专题等内容，覆盖了算法竞赛入门和提高所需的主要知识点，并含有大量例题和习题。书中的代码规范、简洁、易懂，不仅能帮助读者理解算法原理，还能教会读者很多实用的编程技巧；书中包含的各种开发、测试和调试技巧也是传统的语言、算法类书籍中难以见到的。《算法竞赛入门经典(第二版)》可作为全国青少年信息学奥林匹克联赛（noip）复赛教材、全国青少年信息学奥林匹克竞赛（noi）和acm国际大学生程序设计竞赛（acm/icpc）的训练资料，也可作为it工程师与科研人员的参考用书。-Introduction to Algorithms (Second Edition) (algorithm art and informatics competition) First printed in June 2014 Introduction to the classic algorithm (Second Edition) is an entry and improvement of teaching materials, the c/c++ language, algorithms and problem-solving organically combined together, dilute theory, focus on learning methods and practical skills. The book is divided into 12 chapters, including the introduction of program design, program design, cycle structure, function and recursive arrays and strings, c++ and STL entry, basis, method and data structure of violence efficient algorithm design, dynamic programming, preliminary mathematical concepts and methods, graph theory model and algorithm, advanced contents, main knowledge points cover the required entry and improve the competition algorithm, and contains a large number of examples and exercises. In the book, the code is simple and easy to understand, not only can help the reader understand the principle of the a
Date : 2025-12-25 Size : 9.26mb User : 张甲林
[Software Engineering] Lecture 9 Graph algorithms DL : 0: Comprehensive guide about exercise6
Date : 2025-12-25 Size : 2.6mb User : B0mb