计算机视觉：中国著名绘画
chinese-fine-art_datasets.txt
chinese-fine-art_datasets.zip
2021-11-20 21:10:40
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1、pyecharts介绍
Echarts是一款由百度公司开发的开源数据可视化JS库，pyecharts是一款使用python调用echarts生成数据可视化的类库，可实现柱状图，折线图，饼状图，地图等统计图表。
2、柱状图
适用场合是二维数据集（每个数据点包括两个值x和y），但只有一个维度需要比较，用于显示一段时间内的数据变化或显示各项之间的比较情况。
优点： 利用柱子的高度，反映数据的差异，肉眼对高度差异很敏感。
缺点： 只适用中小规模的数据集。
柱状图最基本用法
from pyecharts import Bar
fruits = ['苹果','香蕉','凤梨','桔子'
2021-11-19 11:12:32
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本文以柱形图和饼形图ajax动态赋值为例
一、饼形图赋值步骤
（1）jsp页面
<!-- 引入echarts官方js -->
[removed][removed]
<body>
<!-- 为 ECharts 准备一个具备大小（宽高）的 DOM 饼形图 -->
[html] view plain copy
</body>
（2）js页面
//饼图模板
var dom = document.getElementById(first);
2021-11-18 17:07:44
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See discussions, stats, and author profiles for this publication at: https://www.researchgate.net/publication/221350529Compiler Construction - The Art of Niklaus Wirth.Conference Paper · January 2000Source: DBLPCITATION1
READS1,1201 author:Some of the authors of this publication are also working on these related projects:GraalVM View projectProject MetaConc: Towards Meta-Level Engineering and Tooling for Complex Concurrent Systems View projectHanspeter MössenböckJohannes Kepler University Linz22
2021-11-18 14:56:48
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基于GPU图形加速卡，编程实现多线程同步加速，适用于各类图像重建算法，尤其是迭代类计算量比较大的算法。ART,SIRT,SART 等。
2021-11-15 16:07:24
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智达康 zn-7200-2c 刷openwrt编程器4M和16M固件带art
2021-11-15 14:07:19
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前言
我们在项目中经常需要使用一些折线图、柱状图、饼状图等等，之前使用过heightCharts，后来觉得这货不开源，只是做展示的话又点浪费时间，于是看了下eCharts，于是在vue-cli搭建的项目中添加了eCharts，下面是具体步骤和自己的一些学习笔记，参照于Echarts3官网
现在的前端一般需要完成将大量的数据，实现可视化。现在是大数据和云计算的时代，所以数据可视化逐渐变成一种趋势。而ECharts和d3.js则是可视化的成熟框架。对于制作的图表可以说是满足你的创造力。
两者相比，D3 它被很多其他的表格插件所使用。它允许绑定任意数据到DOM，然后将数据驱动转换应用到Docum
2021-11-11 16:33:56
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分子动力学模拟最为经典的一本书。
Contents:
1 Introduction 1
1.1 Historical background 1
1.2 Computer simulation 2
1.3 Molecular dynamics 4
1.4 Organization 8
1.5 Further reading 10
2 Basic molecular dynamics 11
2.1 Introduction 11
2.2 Soft-disk fluid 11
2.3 Methodology 18
2.4 Programming 20
2.5 Results 34
2.6 Further study 43
3 Simulating simple systems 44
3.1 Introduction 44
3.2 Equations of motion 44
3.3 Potential functions 46
3.4 Interaction computations 49
3.5 Integration methods 60
3.6 Initial state 67
3.7 Performance measurements 74
3.8 Trajectory sensitivity 77
3.9 Further study 82
v
vi Contents
4 Equilibrium properties of simple fluids 83
4.1 Introduction 83
4.2 Thermodynamic measurements 84
4.3 Structure 90
4.4 Packing studies 96
4.5 Cluster analysis 112
4.6 Further study 118
5 Dynamical properties of simple fluids 120
5.1 Introduction 120
5.2 Transport coefficients 120
5.3 Measuring transport coefficients 124
5.4 Space–time correlation functions 134
5.5 Measurements 145
5.6 Further study 152
6 Alternative ensembles 153
6.1 Introduction 153
6.2 Feedback methods 154
6.3 Constraint methods 165
6.4 Further study 174
7 Nonequilibrium dynamics 176
7.1 Introduction 176
7.2 Homogeneous and inhomogeneous systems 176
7.3 Direct measurement 177
7.4 Modified dynamics 188
7.5 Further study 198
8 Rigid molecules 199
8.1 Introduction 199
8.2 Dynamics 200
8.3 Molecular construction 216
8.4 Measurements 222
8.5 Rotation matrix representation 232
8.6 Further study 243
9 Flexible molecules 245
9.1 Introduction 245
9.2 Description of molecule 245
9.3 Implementation details 247
9.4 Properties 251
9.5 Modeling structure formation 256
Contents vii
9.6 Surfactant models 257
9.7 Surfactant behavior 262
9.8 Further study 266
10 Geometrically constrained molecules 267
10.1 Introduction 267
10.2 Geometric constraints 267
10.3 Solving the constraint problem 270
10.4 Internal forces 278
10.5 Implementation details 286
10.6 Measurements 291
10.7 Further study 294
11 Internal coordinates 296
11.1 Introd
2021-11-09 14:34:30
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The Art of Computer Programming, Volumes 1
2021-11-08 18:36:58
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