polycom w2

; implementation {$ R *. DFM} const W1: Word = 61680; {binary representation: 11110000 11110000} W2: Word = 3855; {binary representation: 00001111 00001111} var W: word; {not operation, only one operation count} procedure tform1.button1click (Sender: tobject); begin W: = Not W1; {not is bitwise (to every bit of binary) reverse retrieval} {11110000 11110000 00001111 after reverse retrieval:} {0000111 1} showmessage (inttostr (w); {3855} end; {and opera

We always produce a lot of text in our daily life, and if each text is stored as a document, then each document is an ordered sequence of words d= (W1,W2,⋯,WN) from human observation. Corpus containing M-piece documents The purpose of the statistical text modeling is to ask how the word sequences in the corpus are generated. Statistics are described by people as guessing the game of God, all the corpus texts produced by human beings we can all be see

RNN Study Notes (v)-RNN code implementation 1. Language Model (LM) Overview Children who have done NLP tasks should know what a language model is, simply put, if we think of a sentence s as a collection of several (n) Word w, then the probability of this sentence being generated is:P (s) =p (w1,w2,..., wn) =p (W1) p (W2|W1) p (w3|w1,w2) ... p (wn|w1,..., wn−1)

SQL Server database paging query has been SQL Server's short board, assuming that there is a table article, field ID, year, data 53,210 (customer real data, the amount of small), paged query every page 30, Query page 1500th (i.e. 第45001-45030条 data), field ID clustered index, Year no index, SQL Server version: 2008R2The first scenario:Select top article WHERE ID not in (SELECT top 45000 ID from Article ORDER by year DESC, ID DESC) Order by year D Esc,id DESCAverage 100 times required: 45sThe sec

; } Suppose there are simultaneous W1, W2, W3, W4, W5, W6 concurrent request writes. Part B code allows the W1 to compete with the mutex resource to acquire the lock. W1 adds the data it wants to write to the Writers_ queue, when the queue has only one W1, so it goes smoothly buildbatchgroup . When the Mutex_ mutex is released when running to 34 rows, Mutex_ can be released here because other writes do not meet the team's first condition and will not

. The stable match requirement cannot occur under an existing match: in Match (M1,W1) and (M2,W2) two pair match, M1 compared to W1 prefer W2, and W2 prefer M2 compared to M1, otherwise there will be derailment or elope situation.In the G-S algorithm, the basic idea is as follows, there are three male and female states: free, dating, married. Make a match accordi

=-J * IJ * k = I =-K * jK * I = J =-I * k The hypothetical device has two quartile numbers: Q1= W1+X1I + Y1J+ Z1KQ2= W2+X2I + Y2J+ Z2K The legal meaning of adding four elements is as follows: Q1 + q2 = (W1 + W2) + (X1 + x2) I + (Y1 + y2) J + (Z1 + Z2) k The theory of multiplication of four elements is as follows: Q1 * q2 = (W1 * W2-X1 * x2-Y1 * Y2-z1 * Z2) +(W1

label: backpack 超大背包问题：有n个重量和价值分别为w[i]和v[i]的物品，从这些物品中挑选总重量不超过W的物品，求所有挑选方案中价值总和的最大值。其中，1 ≤ n≤ 40， 1≤ w[i], v[i]≤ 10^15, 1≤ W≤ 10^15. 这个问题给人的第一感觉就是普通的01背包。不过，看完数据范围会发现，这次价值和重量都可以是非常大的数值，相比之下n比较小。使用DP求解背包为题的复杂度是O(nW)，因此不能用来解决这个问题。此时我们应该利用n比较小的特点来寻找其他方法。 挑选物品的方案总共有2^n种，所以不能直接枚举，但是如果将物品分成两半再枚举的话，由于每部分最多只有20个，这是可行的。我们把前半部分中的挑选方法对应的重量和价值总和记为w1、v1，这样在后半部分寻找总重w2≤ W - w1时使v2最大的选取方法即可。 因此，我们要思考从枚举得到的（w2，v2）集合中高效寻找max{

language processing master, successfully solved the natural language processing problem using mathematical methods ). At that time, Janik took an academic vacation (sabbatical leave) at IBM and led a group of outstanding scientists to use computers to handle human language problems. The statistical language model was proposed at that time. For example, in many fields that involve natural language processing, such as machine translation, speech recognition, printed or handwritten recognition, sp

intu=Que.front (); Que.pop (); - for(intI=head[u]; i!=-1; I=Edge[i].next) { to intv=edge[i].v; + if(Edge[i].cap d[v]>d[u]+edge[i].cost) { -d[v]=d[u]+Edge[i].cost; thepre[v]=i; * if(!Vis[v]) { $vis[v]=1;Panax Notoginseng Que.push (v); - } the } + } Avis[u]=0; the } + returnd[vt]!=INF; - } $ inttot; $ intMCMF () { - intres=0, mxflow=0; - while(SPFA ()) { the intflow=inf,cost=0; -

to solve, because we need to try all the combinations, and if there is a large amount of data, ---- Computers are also hard to handle quickly. --- With the greedy algorithm, this algorithm is often near optimal. The core of this algorithm is to "Bite the biggest bite" until the goal is achieved or exceeded. --- -- 1. The first trick is to insert some empty dummy warehouses in the table. If you need to select at most n times, n-1 dummy warehouses. Insert stock Select-1, '200', '1970-1-1 ', 10561

) VALUES (2, ' 2015-01-02 ', 25); insertintoweather (id,date,temperature) VALUES (3, ' 2015-01-03 ', 20); Insertinto Weather (id,date,temperature) VALUES (4, ' 2015-01-04 ', 30); INSERT INTOWeather (id,date,temperature) VALUES (5, ' 1998-10-31 ', 29 );insertintoweather (id,date,temperature) VALUES (6, ' 1998-11-01 ', NBSP;30); 5. Solving SQL Before giving the correct SQL statement, give me a wrong way to write it: SELECT W2. Idfrom Weather W1, Weathe

.name = "A2"; - the +Wife W1 =NewWife (); AW1.setage (18); the w1.getage (); + -Wife W2 =NewWife (); $W2.setage (19); $ w2.getage (); - - the - System.out.println (h1.age);Wuyi System.out.println (W2.getage ()); the - } Wu}Change: Husband

time, this problem also fully embodies one-dimensional optimization of space superiority#include #include#include#include#include#include#include#includestring>#includeusing namespacestd;Const intn=155;Const intm= the;intv[n],w1[n],w2[n],c[n],dp[m][m],n,m1,m2;intMain () {scanf ("%d%d%d",n,m1,m2); for(intI=1; i) scanf ("%d%d%d%d",w1[i],w2[i],c[i],V[i]); for(intI=1; i) { if(!C[i]) for(intj=w1[i];j)

, ----computers are hard to handle quickly. ---So with the "greedy algorithm", this algorithm is often calculated to be almost optimal. The core of this algorithm is to "bite the biggest mouthful" until it reaches or exceeds the target. --- --1. The first trick is to insert some empty dumb warehouses into the table, and if you need to select up to n times, add n-1 to the dummy warehouse Insert Stock Select-1, ' 10561122 ', ' 1900-1-1 ', 0,0 Union Select-2, ' 10561122 ', ' 1900-1-1 ', 0,0

SQL Server Paging Query1.Select top article WHERE ID not in (SELECT top 45000 ID from Article ORDER by year DESC, ID DESC) Order by year D Esc,id DESC The simplest and most common2.SELECT * 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 DESC3.SELECT * FROM article W1,(SELECT TOP ID from(SELECT TOP 50030 ID, year from article ORDER by year DESC, id desc) W ORDER by w.year ASC, w.id ASC)

type we mentioned earlier. So let's change the data type and see what happens. Experiment Three: var a = 3578;var a= A;alert (A1);//3578a=8735;alert (A1);//3578 Experiment Four: var a = {W1:2,w2:3}var a1= A;alert (A1);//{w1:2,w2:3}A1.w1= "Deng";alert (a);//{W1: "Deng", W2:3} In both sets of experiments, we replaced the data types with the number type and object

, such as machine translation, speech recognition to obtain a number of candidates, you can use the language model to choose the best possible knot Fruit. It can also be used in other tasks in NLP.The formal description of a language model is given a string, which is the probability P (w1,w2,..., wt) of natural language. W1 to WT, in turn, to denote each word in this sentence. There is a very simple corollary to this: P (w1,

auto-generated Method Stub while(true) { synchronized(obj) {if(Ticketnum > 0) {System.out.println (Thread.CurrentThread (). GetName ()+ "number sold" + ticketnum--); } } } }} Public classTextWindow2extendsthread{/** * @paramargs*/ Public Static voidMain (string[] args) {Windos2 W1=NewWindos2 (); Windos2 W2=NewWindos2 (); Windos2 W3=NewWindos2 (); W1.setname ("Ticket No. 1th");

points array object THREE composed of Vector3 objects. spline = function (points) {this. points = points; // set the parameter points to the points attribute var c = [], v3 = {x: 0, y: 0, z: 0} of the current spline object }, point, intPoint, weight, w2, w3, pa, pb, pc, pd; /*************************************** * ***** the following are the functions provided by the Spline object. **************************************** // * // The initFromArray