intuit w2

http://blog.csdn.net/heavendai/article/details/70301021. First of all, the Markov chain.The probability of the occurrence of an event sequence can be expanded using the multiplication formula in the probability theory below.P (w1,w2,... WN) = P (W1) p (W2|W1) p (w3| W1 w2) ... P (WN|W1 w2...wn-1)The proof of the multip

1. First of all, the Markov chain. The probability of the occurrence of an event sequence can be expanded using the multiplication formula in the probability theory below. P (w1,w2,... WN) = P (W1) p (W2|W1) p (w3| W1 w2) ... P (WN|W1 w2...wn-1) The proof of the multiplication formula is very interesting, it is its

] Returningresponse:nil Error:nil]; UIImage* Image =[UIImage Imagewithdata:data]; if(image) {size=image.size; } } returnsize;}//get the size of a PNG picture+ (Cgsize) Getpngimagesizewithrequest: (nsmutableurlrequest*) request{[request SetValue:@"bytes=16-23"Forhttpheaderfield:@"Range"]; NSData* data =[nsurlconnection sendsynchronousrequest:request returningresponse:nil Error:nil]; if(Data.length = =8) { intW1 =0, W2 =0, W3 =0, W4 =0;

Tags: engine select key Sam MySQL charset utf8 efault val 1 DROP TABLE IF EXISTS' W1 ';2 CREATE TABLE' W1 ' (3' Waid 'int( One) not NULLAuto_increment,4' WA1 'varchar(255) COLLATE Utf8mb4_binDEFAULT NULL, 5' Wa2 'varchar(255) COLLATE Utf8mb4_binDEFAULT NULL, 6 PRIMARY KEY(' Waid ')7) ENGINE=MyISAM auto_increment=3 DEFAULTCHARSET=UTF8MB4 COLLATE=Utf8mb4_bin;8 9 -- ---------------------------- Ten --Records of W1 One -- ---------------------------- A INSERT into' W1 'VALUES('1','w1-1','1');

, year from article order by year desc, ID DESC) W order by w. year asc, w. ID ASC) W2 WHERE w1.ID = w2.ID order by w1.YEAR DESC, w1.ID DESC Time required for an average query of 100 times: 21 SSolution 4:Copy codeThe Code is as follows:SELECT * from article w1Where id in(SELECT top 30 ID FROM(SELECT top 45030 ID, year from article order by year desc, ID DESC) W order by w. year asc, w. ID ASC)Order by w1.Y

The first solution, the simplest and common method: Copy codeThe Code is as follows:Select top 30 * from article where id not in (select top 45000 id from article order by year desc, id desc) order by year desc, ID DESC Average query time: 45 s Solution 2: Copy codeThe Code is as follows:SELECT * FROM (select top 30 * FROM (select top 45030 * from article order by year desc, id desc) f order by f. year asc, f. id desc) s order by s. year desc, s. ID DESC Time required for an average of 100 queri

exchanged (Commute). Otherwise, the execution effect will be affected. [Example] Sc1 = r1 (A) w1 (A) r2 (A) w2 (A) r1 (B) w1 (B) r2 (B) w2 (B) w2 (B) exchange w2 (A) with r1 (B) w1 (B) to obtain: r1 (A) w1 (A) r2 (A) r1 (B) w1 (B) w2 (A) r2 (B)

The first solution, the simplest and common method: Copy codeThe Code is as follows: select top 30 * from article where id not in (select top 45000 id from article order by year desc, id desc) order by year desc, ID DESC Average query time: 45 s Solution 2: Copy codeThe Code is as follows: SELECT * FROM (select top 30 * FROM (select top 45030 * from article order by year desc, id desc) f order by f. year asc, f. id desc) s order by s. year desc, s. ID DESC Time required for an average of 100 q

then immediately scaled back. This is an example of a neural network. The temperature produced by the fire opponent is the input layer (input) of Figure 2, and the scaled-down or not scaled-down is the output layer of Figure 2 ). But scale-down occurs only when the temperature in the hand reaches a certain level, for example, 40 degrees. Figure 2 is used to represent the preceding situation: X1 = temperature produced by fire opponents W1 = the weight of the temperature produced by the fire

The first scenario, the simplest, the common method: Copy Code code as follows: Select Top * from ARTICLE WHERE ID. (select top 45000 ID to ARTICLE order by year DESC, id DESC) Esc,id DESC Average Enquiry 100 Time: 45s The second option: Copy Code code as follows: SELECT * FROM (select top 45030 * from ARTICLE, DESC, ID DESC) F ORDER by F.year ASC, F.id DESC) s ORDER by S.year Desc,s.id DESC Average Enquiry 100 Time: 138S The third option:

SQL Server database paging query has been SQL Server's short board, Idle to do nothing, think of several methods, assuming that there is a table article, Field ID, year ... (other omitted), Data 53,210 (customer real data, amount of small), page 30 per page, query page 1500th (that is, 第45001-45030条 data), field ID clustered index, Year no index, SQL Server version: 2008R2The first scenario, the simplest and the most common method :Copy CodeThe code is as follows:Select top article WHERE ID not

ID, year from article order by year desc, ID DESC) W order by w. year asc, w. ID ASC) W2 WHERE w1.ID = w2.ID order by w1.YEAR DESC, w1.ID DESC Time required for an average query of 100 times: 21 SSolution 4:Copy codeThe Code is as follows: SELECT * from article w1Where id in(SELECT top 30 ID FROM(SELECT top 45030 ID, year from article order by year desc, ID DESC) W order by w. year asc, w. ID ASC)Order by

SQL Server database paging query has been a short board of SQL Server, idle, come up with several methods, assuming that there are table article, Field ID, year ... (other omitted), Data 53,210 (customer real data, quantity is not large), paging query each page 30, query page 1500th (ie 第45001-45030条 data), field ID clustered index, Year no index, SQL Server version: 2008R2 The first scenario, the simplest, the common method: Copy code code as follows: Select Top * from ARTICLE WHERE ID. (sel

Label:SQL Server database paging query has been SQL Server's short board, Idle to do nothing, think of several methods, assuming that there is a table article, Field ID, year ... (other omitted), Data 53,210 (customer real data, amount of small), page 30 per page, query page 1500th (that is, 第45001-45030条 data), field ID clustered index, Year no index, SQL Server version: 2008R2The first scenario, the simplest and the most common method:The code is as follows:Select top article WHERE ID not in (