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"Algorithmic learning note" 36. Convex hull for maximum two points distance SJTU OJ 1244 Date A Live

.Y),2));} InlineDouble_max (DoubleADoubleb) { returnA>b?a:b;}DoubleCal () {Doubleres =0; for(inti =0; I 1-1; ++i) for(intj = i+1; J 1; ++j) Res=_max (Res,_dis (Pointset[convexhull[i]],pointset[convexhull[j])); returnRes;}intMainintargcChar Const*argv[]) {cin>>Ps_len; for(inti =0; i i) scanf ("%LF%LF",pointset[i].x,pointset[i].y); Buildconvexhull (); printf ("%.4LF", Cal ()); return 0;}View CodeSeveral related blogs:Http://www.cnblogs.com/devymex/archive/2010/08/09/1795392.htmlhttp://blog

Java Learning notes-0918 Liulei in Silicon Valley *: Now that you've chosen a distance, you'll be in the wind

to write their own time, will forget some steps or forget a word how to write, May be really not enough practice, so take the time to see the teacher recorded Java video is a good way to review!About career planning, I really do not want to find a job to learn, and later will not do development, to learn just to be able to better communicate with the program sta

Java Learning notes-0918 Liulei in Silicon Valley *: Now that you've chosen a distance, you'll be in the wind

to write their own time, will forget some steps or forget a word how to write, May be really not enough practice, so take the time to see the teacher recorded Java video is a good way to review!About career planning, I really do not want to find a job to learn, and later will not do development, to learn just to be able to better communicate with the program sta

Posted these days learning hook get out of a pretty funny statistic the small program of the mouse moving distance and the number of keystrokes

Posted these days learning hook get out of a pretty funny statistic the small program of the mouse moving distance and the number of keystrokes References: Hooks can monitor various event messages in the system or process, intercept messages destined for the target window, and process them. In this way, we can install a

Distance measurement in machine learning

(mahalanobis Distance)(1) Markov distance definitionThere are m sample vectors x1~xm, the covariance matrix is denoted as s, the mean values are denoted as vector μ, and the Markov distances of sample vectors x to u are expressed as:Where the Markov distance between the Vector XI and XJ is defined as:If the covariance matrix is

ML 07. Distance measurement in machine learning

Label: style blog HTTP Io color ar OS sp Machine learning algorithm principle, implementation and practice-Distance Measurement Statement: Most of the content in this article is reproduced in July's article on csdn: From the K Nearest Neighbor Algorithm and distance measurement to the KD tree and sift + BBF algorithm, the content format and formula a

Various distance calculations in machine learning

Various distance calculations in machine learning Original: http://blog.csdn.net/qq_23617681/article/details/51471156 In machine learning, it is often necessary to calculate various distances.For example, the distance of KNN nearest neighbor, Kmeans distance, the

ArcGIS JS Learning Note 1 using ArcGIS JS to achieve the simulation of Baidu map distance measurement and area measurement

first, the outsetRegistered in the blog for three years, today decided to write the first blog, warning yourself not lazy!!!second, about the ArcGIS JS version selectionAt the time of writing this blog, the official version of ArcGIS JS 4.0 has been Released. It is different from the 3.x version, the map is not a control, and really just a "graph", map (4.0 Version) needs to be shown in

[Python learning] It is used to specify the distance between two geographical locations for latitude and longitude calculation, and the python latitude and longitude

[Python learning] It is used to specify the distance between two geographical locations for latitude and longitude calculation, and the python latitude and longitude Distance Calculation of the longitude and latitude of a specified two-point geographic location 1 # coding = UTF-8 2 3 from math import * 4 5 # input Lat_

Algorithm Learning (12) maximum continuous product substring, string edit distance

number, f[i,j-1] represents the minimum editing distance of s[0...i] to T[0...j-1, has not been converted to the target string, and one less t[i], to add operations.f[i-1,j-1]+ (S[i]==t[i]? 0:1): Represents a substitution operation, f[i-1,j-1] represents the minimum editing distance of s[0...i-1] to t[0...i-1, which has not yet been converted to the target strin

Android_mars Learning note _s05_006_ Distance sensor

) { + floatDistance = Event.values[0]; -SYSTEM.OUT.PRINTLN ("Distance--->" +distance); the System.out.println (Mproximity.getmaximumrange ()); * //Do something with this sensor data. $ }Panax Notoginseng - @Override the protected voidOnresume () { + //Register a listener for the sensor. A

[Learning record] face Wxpython's long-distance running (100 meters: Wxpython installation, related documents, WX. App,wx. Frame)

openedEvt_menu_close: When a menu has just been closedEvt_menu_highlight: A highlight event for a menu, self. Bind (WX. Evt_menu_highlight, Action function, Self.gg.GetMenuItems () [0]), is a wx that needs to be monitored. The MenuItem object.Evt_menu_highlight_all: You need to bind self as follows. Bind (WX. Evt_menu

Camera tips for Unity3d technology-the size of the cones from the camera to a given distance

Welcome to Unity Learning, unity training, Unity Enterprise training and education zone, there are many u3d resources, u3d training videos, u3d tutorials, U3d Frequently asked questions, U3d Project source code, we are committed to creating the industry Unity3d training, learning the first brand.The size of the cones from the camera to a given distanceThe View co

How can I measure the distance in a CAD drawing?

Action window, or open the CAD drawing file that you need to make the editor.Three step: After opening the CAD drawing file, we can use a lot of functions in the menu bar above the CAD view software, here we choose "Measurement".Fourth step: After selecting the "Measurement" tool, the mouse click on the CAD drawing to be measured in the place, first select the first point as "starting point", and then select the second point as the "end", then you ca

Redwood Network Video Conference: Building a distance education platform

build a "remote network education system ", distance education in many schools provides a learning platform for the majority of people in the community, so that remote students can receive the words and deeds of experts and professors in real time through the network, in addition, the course content can be recorded as

"Machine learning" describes a variety of dimensionality reduction algorithms _ Machine learning Combat

information table, X indicates that the dimensions of the high dimensional input matrix are the high dimension D times the number of samples N, C=xxt, Z represents the dimension reduction output matrix size low dimension d times N, E=zzt, the linear mapping is Z=WTX, the distance matrix between 22 in the high-dimensional space is a, and the SW,SB is LDA respectively. In-class divergence matrices and inter-

Deep Learning (3) Analysis of a single-layer unsupervised learning network

Deep Learning (3) Analysis of a single-layer unsupervised learning network Zouxy09@qq.com Http://blog.csdn.net/zouxy09 I have read some papers at ordinary times, but I always feel that I will slowly forget it after reading it. I did not seem to have read it again one day. So I want to sum up some useful knowledge points in my thesis. On the one hand, my understa

Learning notes for machine learning practice: Create a tree chart and use a decision tree to predict the contact lens type,

Learning notes for "Machine Learning Practice": Draw a tree chart use a decision tree to predict the contact lens type, The decision tree is implemented in the previous section, but it is only implemented using a nested dictionary containing tree structure information. Its

A picture to understand the difference between AI, machine learning and deep learning

, when the visibility of the sign is lower, or if a tree blocks part of the logo, its ability to recognize it will fall. Until recently, computer vision and image-detection technology were far from human capabilities because it was too easy to make mistakes. Deep Learning: The technology of realizing machine learning "Artificial Neural Network (Artificial neural

A picture of the difference between AI, machine learning and deep learning

sign is low, or if a tree blocks a part of the sign, its ability to recognize will decline. Until recently, computer vision and image detection techniques were far from the human capability because it was so prone to error.Deep Learning: The technology to realize machine learning"Artificial Neural networks (Artificial

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