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关键词： 数据结构   线上教学   主动学习   协作  

摘要： 2020年春季学期,受疫情影响,数据结构课程开展了完全线上教学。文章从教学模式的设计与实践、授课方式的选择、促进学生主动学习和提高学生线上协作能力等方面进行总结和思考,为今后开展线上教学、线上线下混合教学提供借鉴。

摘要： This paper proposes a new panel data structural gravity approach for estimating the trade and welfare effects of Brexit. Assuming different counterfactual post-Brexit scenarios, our main findings suggest that the UK's exports of goods to the EU are likely to decline within a range between 7.2% and 45.7% six years after Brexit has taken place. For the UK, the negative trade effects are only partially offset by an increase in domestic trade and trade with third countries, inducing a decline in the UK's real income of between 0.3% and 5.7%. The estimated welfare effects for the EU are not different from zero, but some members like Ireland are expected to also experience welfare losses. Resume evaluation des effets du Brexit sur le commerce et le bien-etre a l'aide d'un modele de gravite structurel s'appuyant sur des donnees longitudinales. Afin d'evaluer les effets du Brexit sur le bien-etre et le commerce, nous proposons dans cet article un nouveau modele de gravite structurel s'appuyant sur des donnees longitudinales. En supposant plusieurs scenarios post-Brexit contrefactuels, nos principaux resultats suggerent que six ans apres le Brexit, les exportations de biens du Royaume-Uni vers l'Union europeenne pourraient chuter dans des volumes compris entre 7,2 % et 45,7 %. Pour le Royaume-Uni, les effets negatifs sur le commerce ne seront que partiellement compenses par une augmentation du commerce interieur et des echanges avec des pays tiers, ce qui engendrera une diminution du revenu reel du pays comprise entre 0,3 % et 5,7 %. Au sein de l'Union europeenne, et relativement au bien-etre, les consequences seront nulles, mais certains pays membres comme l'Irlande pourraient subir des pertes.

关键词： 数据结构   算法分析  

ISBN: (纸本)9787115546661

摘要： 本书旨在讲解数据结构和算法的核心知识。本书主要内容包括线性表、栈、队列、串、数组、广义表、树、图、查找算法、排序算法、递推算法、递归算法、枚举算法、贪心算法、回溯算法、数值算法和实用算法等。本书适合计算机专业的学生、软件开发专业人员等阅读。

关键词： Segmented Volumes   Data Structures   Sparse Data  

摘要： In this paper, we present a novel data structure, called the Mixture Graph. This data structure allows us to compress, render, and query segmentation histograms. Such histograms arise when building a mipmap of a volume containing segmentation IDs. Each voxel in the histogram mipmap contains a convex combination (mixture) of segmentation IDs. Each mixture represents the distribution of IDs in the respective voxel's children. Our method factorizes these mixtures into a series of linear interpolations between exactly two segmentation IDs. The result is represented as a directed acyclic graph (DAG) whose nodes are topologically ordered. Pruning replicate nodes in the tree followed by compression allows us to store the resulting data structure efficiently. During rendering, transfer functions are propagated from sources (leafs) through the DAG to allow for efficient, pre-filtered rendering at interactive frame rates. Assembly of histogram contributions across the footprint of a given volume allows us to efficiently query partial histograms, achieving up to 178 x speed-up over naive parallelized range queries. Additionally, we apply the Mixture Graph to compute correctly pre-filtered volume lighting and to interactively explore segments based on shape, geometry, and orientation using multi-dimensional transfer functions.

关键词： Computational biology and bioinformatics   Flow cytometry   Transcriptomics  

关键词： LiDAR   voxelisation   iso-surface   visualisations   data structures   efficiency   memory management   execution time   volumetric data  

摘要： In this paper, we investigate the performance of six data structures for managing voxelised full-waveform airborne LiDAR data during 3D polygonal model creation. While full-waveform LiDAR data has been available for over a decade, extraction of peak points is the most widely used approach of interpreting them. The increased information stored within the waveform data makes interpretation and handling difficult. It is, therefore, important to research which data structures are more appropriate for storing and interpreting the data. In this paper, we investigate the performance of six data structures while voxelising and interpreting full-waveform LiDAR data for 3D polygonal model creation. The data structures are tested in terms of time efficiency and memory consumption during run-time and are the following: (1) 1D-Array that guarantees coherent memory allocation, (2) Voxel Hashing, which uses a hash table for storing the intensity values (3) Octree (4) Integral Volumes that allows finding the sum of any cuboid area in constant time, (5) Octree Max/Min, which is an upgraded octree and (6) Integral Octree, which is proposed here and it is an attempt to combine the benefits of octrees and Integral Volumes. In this paper, it is shown that Integral Volumes is the more time efficient data structure but it requires the most memory allocation. Furthermore, 1D-Array and Integral Volumes require the allocation of coherent space in memory including the empty voxels, while Voxel Hashing and the octree related data structures do not require to allocate memory for empty voxels. These data structures, therefore, and as shown in the test conducted, allocate less memory. To sum up, there is a need to investigate how the LiDAR data are stored in memory. Each tested data structure has different benefits and downsides;therefore, each application should be examined individually.

关键词： General \u0026 Introductory Materials Science  

ISBN: (数字)9781119752059 ISBN: (纸本)9781119750543

摘要： Everyone knows that programming plays a vital role as a solution to automate and execute a task in a proper manner. Irrespective of mathematical problems, the skills of programming are necessary to solve any type of problems that may be correlated to solve real life problems efficiently and effectively. This book is intended to flow from the basic concepts of C++ to technicalities of the programming language, its approach and debugging. The chapters of the book flow with the formulation of the problem, it's designing, finding the step-by-step solution procedure along with its compilation, debugging and execution with the output. Keeping in mind the learner’s sentiments and requirements, the exemplary programs are narrated with a simple approach so that it can lead to creation of good programs that not only executes properly to give the output, but also enables the learners to incorporate programming skills in them. The style of writing a program using a programming language is also emphasized by introducing the inclusion of comments wherever necessary to encourage writing more readable and well commented programs. As practice makes perfect, each chapter is also enriched with practice exercise questions so as to build the confidence of writing the programs for learners. The book is a complete and all-inclusive handbook of C++ that covers all that a learner as a beginner would expect, as well as complete enough to go ahead with advanced programming.  This book will provide a fundamental idea about the concepts of data structures and associated algorithms. By going through the book, the reader will be able to understand about the different types of algorithms and at which situation and what type of algorithms will be applicable.

关键词： 数据结构教学   改革   实践  

摘要： 现如今,为了全面加强数据结构教学质量,教师应深入教学实际,结合学生学习情况,有效地构建更加高效的课堂,从而调动学生参与学习的积极性,进一步促使学生提高专业能力.通过开展实践分析,本文从多方面总结了具体的教学改革措施,希望实践教学能全面提高数据结构教学效率,从而为学生综合水平提高奠定良好基础.

关键词： 思维可视化   可视化编程工具   情景教学法  

摘要： 针对数据结构课程教学中,算法思维难以表达和传递现象,进行基于思维可视化的教学改革,通过思维导图、可视化编程工具Raptor以及情景教学法等思维可视化方式来加强学生思维能力培养。将思维可视化教学应用于在讲授新课、重难点知识点和内容复习等方面,并对思维可视化教学的实施效果进行分析。研究表明,思维可视化教学能够更好地培养学生的思维能力。