, this code in Sicily measured AC, Fuzhou University WA, so this code may also have some problemsTry to write the STL queue version but the time relationship is not finished and the subject queue to achieve some difficulties if successful and then fill inOn the CodeFinally, add a few good articles that sort the topology:http://blog.csdn.net/dm_vincent/article/details/7714519 This talk is a bit advanced, interested can seehttp://blog.csdn.net/liwen_7/article/details/7298736 briefly introduced the
Algorithm description
can query and modify a given sequenceQuery: Mainly used to query the data between any two bits andModify: Modify a single data valueTime Complexity: Log (N)
Algorithmic thinking1. Construction of arrays
Define Array C AC1 = A1C2 = A1 + A2C3 = A3C4 = A1 + A2 + A3 + A4C5 = A5C6 = A5 + A6C7 = A7C8 = A1 + A2 + A3 + A4 + A5 + A6 + A7 + A8...It is not difficult to see, in fact, the implementation of a data of the respective jurisdiction, CN, the jurisdictio
): featlist = [Example[i] For example in DataSet] #建立特征i的链表 uniquevals = set (featlist) #set不允许重复 newentropy =0.0 F or value in Uniquevals:subdataset = Splitdataset (dataset,i,value) prob = Len (subdataset)/float (Len ( DataSet)) #计算满足特征i为value的概率 newentropy + = prob*calcshannonent (subdataset) Infogain = baseentropy-newent ropy if (Infogain > Bestinfogain): bestinfogain = Infogain bestfeature = i return BESTFE Ature#def majoritycnt (classlist): ClassCount ={} for vote in Classlist:if vote not i
The traversal of a treeThese three kinds of traversal methods are actually very simple, for example:
a / b cThis is an example of how these three are traversed.struct treenode;typedef treenode* node;typedef int eletype;struct treenode{ Node lchild; Node Rchild; Eletype data;};First Order traversalThe first sequence traversal, that is, from the top to the bottom, from left to right, encountered a traversal, the above example traversal sequence is:a b cThe recursive code is
In Matlab, there are a variety of classifier training functions, such as "FITCSVM", but also a graphical interface of the classification of Learning Toolbox, which contains SVM, decision tree, KNN and other types of classifiers, the use of very convenient. Then let's talk about how to use it. Start:
Click "Application", find "classification learner" icon in the Panel click to Start, also can enter "Classifi
Environment: xcode:5.0.2 IOS7 SimulatorInterface: Drag with StoryboardSimple application: A coredata crud use case.Interface such as (a uitableviewcontroller list query and delete select UITableViewCell after the show Detail page a uiviewcontroller to edit or add data)Tableviewcontroller Click on the + sign push to jump to Detaiviewcontroller; Select cell and push to Detailviewcontroller (identifier: Detailviewbycell) Jumpare implemented using a wire. The navigation sub-view may become corrupte
Happy, learning changes from quantitative to qualitative, ASP. NET 2.0 tree data displaySource code(Original, recursive)
Using
System;
Using
System. Data;
Using
System. Data. sqlclient;
Using
System. configuration;
Using
System. Web;
Using
System. Web. Security;
Using
System. Web. UI;
Using
System. Web. UI. webcontrols;
Using
System. Web. UI. webcontrols. webparts;
Using
Reference: "Data structure and algorithmic analysis--c language description" section 4.3#include Data structure Learning--two-fork search Tree ADT (programmatic)
(); Pre= cur;//keep the current node for a while, and leave it to determine whether to access his parent node. }Else { if(cur.right!=NULL) S.push (cur.right);//If the right node of the current node is not empty on the stack, only the right node into the stack before you can guarantee that the order of access is right, if(cur.left!=NULL) S.push (Cur.left);//If left child is not empty, left child last into the stack } } returnResult
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