round up to nearest hundred

Introduction to algorithms in the computational geometry section describes the method for finding the nearest vertex pair: using typical partitioning Algorithms (1) decomposition: after sorting all vertices by X coordinates, they are roughly divided into two sets of equal sizes, L and R. (2) solution: Find the minimum and specific values in the L and R sets respectively, and take the smaller values of the two as the current minimum ans. (3) Merge: For

/** Nearest point to question, Time complexity O (N*LOGN*LOGN)*/#include#include#include#include#includeusing namespacestd;Const DoubleINF =1e20;Const intN =100005;structpoint{Doublex; Doubley;} Point[n];intN;intTmpt[n];BOOLCmpxy (Constpoint A,Constpointb) { if(A.x! =b.x)returnA.x b.x; returnA.y b.y;}BOOLCmpy (Const int A,Const intb) { returnPoint[a].y point[b].y;}DoubleMinDoubleADoubleb) { returnA a:b;}DoubleDisintIintj) { returnsqrt ((po

typedef xpixel PIXELCOLORRGB;Double Sinxx (Double value){if (value if (Value Float TEMP = value * value;Return 0.5 * Temp * value-temp + 2.0/3.0;}else if (value value = 2.0-value;Value *= value * value;return value/6.0;}else {return 0.0;}}int BOUND (int value, int min, int max){Chassert (min if (value {return min;}else if (value >= max){return Max;}Else{return value;}}Enum Imageqaulitye{Image_geometry_nearest_neighbor_interpolate = 0,Image_geometry_bilinear_interpolate,Image_geometry_three_order

The common ancestor of any two nodes given a treeTarjan off-line for LCA the idea is to first save all the queries, and then DFS over the tree when in judgment. If the current node is one of the two nodes required, then judge whether the other one has been accessed, and if so, then its nearest public ancestor is the ancestor of the current node.Here is the Tarjan offline Template:#include #include#includeusing namespacestd;Const intMAXN =10010;structE

1 //find the nearest public parent node in a tree2 Public classLCA {3 Static BooleanFlag[] =New Boolean[2];;4 5 Public StaticTreeNode Findlowestcommonancestor (TreeNode Head, TreeNode first, TreeNode second) {6 Travel (head, first, second);7 if(Flag[0] = =true flag[1] = =true)//two nodes are present8 returnLowestcommonancestor (head, first, second);9 Else Ten return NULL; One } A - Pu

Word Nearest distanceTitle DescriptionThere is an article containing multiple words, now given two words, please design an efficient algorithm, find out the minimum distance of the two words in the text (that is, the minimum number of words, that is, two words in the position of the article the absolute value of the difference).Given a string array article, represents the given article, with the number of words n and the two words x and yto be found.

Finding two branches of the nearest common parent node, in the Internet to see a very interesting solution, the original text in the http://www.cnblogs.com/remlostime/archive/2012/11/26/2788795.htmlThe general idea is to traverse from the child node depth to the root node and then compare the bifurcation points of the two paths. He used the recursion:1 structNode2 {3 intVal;4Node *Left ;5Node *Right ;6 Node (): Left (null), right (null) {}7 };8 9N

This article describes how to obtain the nearest number in a specified range in php. you can divide each interval based on the length of a given interval and find the number closest to the given number, for more information about how to obtain the nearest number in a specified range, see the example in this article. Share it with you for your reference. The specific implementation method is as follows: //

Link Storage Stack API details see my blog: Chained storage for stacks-API implementationsNearest matchAlmost all compilers have the ability to detect if parentheses matchHow do I implement symbolic pair detection in the compiler?#include Algorithm IdeasStart scanning from the first characterIgnored when ordinary characters are met,Pressed into the stack when the left sign is metPOPs the top symbol from the stack when the right symbol is met and matchesMatch succeeded: Continue reading into next

PHP gets the closest number of methods in the specified range, and PHP gets This example describes the method by which PHP obtains the nearest number within a specified range. Share to everyone for your reference. The implementation method is as follows: Returns the next higher or lower numberfunction nextrelatednumber ($number, $range) {$r = $number% $range; $f = $number-$r; $b = Round ($r/$range, 0); return ($b = = 1)? $f + $range: $f; }//Retur

# ALGORITHM:K-NN (nearest neighbor classification algorithm)# AUTHOR:KERMIT.L# time:2016-8-7#==============================================================================From numpy Import *Import operatorImport Matplotlib.pyplot as PltDef creatdataset ():Group = Array ([[1.0, 1.1], [1.0, 1.0], [0, 0], [0, 0.1]])Labels = [' A ', ' a ', ' B ', ' B ']Return Group,labelsGroup,labels = Creatdataset ()Plt.figure (1)Plt.plot (group[:,0],group[:,1], ' or ')P

#-*-coding:utf-8-*-__author__= ' Ghostviper ' "" "K Nearest neighbor Collation Algorithm" "" fromnumpy Import*importoperatordefcreatedataset (): group=array ([ [1.0,1.1], [1.0,1.0],[0,0], [0,0.1]]) labels=[' A ' , ' A ', ' B ', ' B ']returngroup,labelsdefclassify0 (InX, dataset,labels,k): #shape Get the size of the array in the dataset datasetsize=dataset.shape[0]# Copy the matrix based on the input elements and make a difference to the known data se

Title Link: http://poj.org/problem?id=1330Test instructions: Given a root tree of n nodes, as well as the two nodes in the tree u,v, the nearest public ancestor of U,v is obtained.Data range: N [2, 10000]Idea: Starting from the root of the post-depth priority traversal, set the VIS array real-time records have been accessed.After each traversal of a subtrees tree R, it is incorporated into the set of the parent node P of R as the representative of the

Algorithms based on nearest neighbor, often used in various situations,For example, 100,000 users, for each user to find the most similar users,When N is particularly large, the efficiency is not very high, such as when the n=10^5, it is not very good, because the violence of the time complexity of the law is O (n^2).This requires special means, there are two commonly used methods, one is the Kdt tree (and ball trees), one is a local sensitive hash (a

Sub-arrays and the closest 0 issues:For array A of length n, the values of the contiguous Subarray and the nearest 0 are obtained.such as: 1,-2,3,10,-4,7,2,-5; the array of neutrons and the value closest to 0 is 0, and the Subarray is -4,7,2,-5.Program implementation:1 /***************************************2 FileName NearZeroSubArray.cpp3 Author:godfrey4 CREATEDTIME:2016/5/35 ****************************************/6#include 7#include 8#include 9#i

Working principle:Given a training dataset, for a new input instance, find the nearest K-instance to the instance in the training dataset (that is, the K-neighbor above), where the majority of the K-instances belong to a class, and the input instance is categorized into this class.code example:knn.py from Import *import operatordef CreateDataSet (): = Array ([[[1.0,1.1],[ 1.0,1.0],[0,0],[0,0.1]]) labels= ['b','b ','b','b'] return Group,lab

Python automatically logs on to Renren and accesses the nearest visitor instance. python automatically logs on to Renren. This article describes how to use python to automatically log on to Renren and access the nearest visitor. The specific method is as follows: #-*-Coding: gbk-*-# In import OS from xml. dom import minidom import re import urllib import urllib2 import cookielib import datetime import time

Php obtains the nearest number in a specified range. This example describes how to obtain the nearest number in a specified range by php. Share it with you for your reference. The specific implementation method is as follows: // Returns the next higher or lower numberfunction NextRelatedNumber($number, $range){ $r = $number % $range; $f = $number - $r; $b = round($r / $range, 0); return ($b == 1) ? $f

Use the K-nearest neighbor algorithm to divide a point [0.6, 0.6] into a class (A, B). fromNumPyImport*Importoperatordefclassify0 (InX, DataSet, labels, k): Datasetsize= Dataset.shape[0]#number of array rowsDiffmat = Tile (InX, (datasetsize, 1))-DataSet Sqdiffmat= Diffmat * * 2sqdistances= Sqdiffmat.sum (Axis=1) Distances= sqdistances * * 0.5sorteddistindicies=distances.argsort () ClassCount= {} forIinchRange (k): Voteilabel=Labels[sorteddistindic

Taiwan Big machine skill and cornerstone are finished, but no programming has been, now intends to combine Zhou Zhihua "machine learning", the machine to learn the actual combat, the original book is Python2, but I feel python3 better use some, so plan to use Python3 write it again. Python3 and Python2 different places will be in the program in the bid.Code and data: HTTPS://GITHUB.COM/ZLE1992/MACHINELEARNINGINACTION/TREE/MASTER/CH2K-Nearest Neighbor