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= FormWindowState.Normal;7 this.WindowState = FormWindowState.Maximized;8 MessageBox.Show(this.Handle.ToString()); WPF: 1 protected override void OnStartup(StartupEventArgs e) 2 { 3 base.OnStartup(e); 4 5 Window1 w1 = new Window1(); 6 Window2 w2 = new Window2(); 7 8 9 Screen s1 = Screen.AllScreens[0];10 Screen s2 = Screen.AllScreens[1];11 12 Re

With waits ( Select wait_type, Wait_time_ms/1000 as wait_time_s, 100. * wait_time_ms/sum (wait_time_ms) over () as PCT, Row_number () over (order by wait_time_ms DESC) as Rn From SYS. dm_ OS _wait_stats Where wait_type not like '% Sleep %' ) Select w1.wait _ type, Cast (w1.wait _ time_s as decimal (12, 2) as wait_time_s, Cast (w1.pct as decimal (12,2) as PCT, -- w2.pct, w1.rn, w2.rn Cast (sum (

TrailsDrwxr-XR-x 2 goldengate oinstall 4096 Nov 27 Trails[Goldengate @ Rac1 ~] $ Configuration Manager Source and target: The port range used by the goldengate (extract and replicat) process is configured in dynamicportlist.The port parameter specifies the port used by the manager.The autorestart parameter automatically restarts when the extraction/replication process fails.Configure the manager parameter. The purgeoldextracts parameter specifies that the trail files that have been extracted an

X0 = 0.0, Y0 = 0.0, min = 0.0, Tc = 0.0, t = 0.0, M = 0.0, W = 0.0, X1 = 0.0, Y1 = 0.0, m1 = 0.0, M2 = 0.0, W2 = 0.0, T1 = 0.0, M3 = 0.0, W3 = 0.0; For (I = 0; I {M + = xz [I]. V * xz [I]. R * xz [I]. X;W + = xz [I]. V * xz [I]. R;M1 + = xz [I]. V * xz [I]. R * xz [I]. Y;}X0 = m/W;Y0 = m1/W;For (I = 0; I {D [I] = SQRT (xz [I]. x-x0) * (xz [I]. x-x0) + (xz [I]. y-y0) * (xz [I]. y-y0 ));M3 + = xz [I]. V * xz [I]. R * xz [I]. X/d [I];T1 + = xz [I]. V *

watch, the most natural way to do this is to use the predictive value of the user's rating of the video instead of the popularity of the video. But there is also a problem, the user rating is likely to be a small audience of the film, but users tend to prefer to see those who are not high-scoring, but more popular movies. Therefore, the best way is to take into account the popularity of the video and the user's expected score.There are many ways to design a sorting system, such as scoring ranki

Tools used in this article: vc6.0+matlab6.5 In this chapter is achieved in the VC call Matlab Neural Network Toolbox, the article used in the program is a master's thesis part, so did not provide source program, the purpose is through this example to introduce how to use the VC COM components to achieve VC and MATLAB data exchange. First in the MATLAB to complete two neural network functions, one to test, one to predict. 1. Check function: function [w1,b1,

before, in this is not much to repeat. As shown in Figure 07.Figure 07Then give this path casually take a name, called "W1" bar, and then copy the path again, named "W2" and the "W2" object layer of the "eye" temporarily closed. Because for a while we have to "W2" this path to "cut" another object, so temporarily "W2"

+W2) + (X1+X2) i + (y1+y2) j + (Z1+Z2) kFour-tuple multiplication:Q1 * Q2 =(W1*W2–X1*X2–Y1*Y2–Z1*Z2) +(w1*x2 + x1*w2 + y1*z2–z1*y2) i +(w1*y2–x1*z2 + y1*w2 + z1*x1) J +(w1*z2 + x1*y2–y1*x2 + z1*w2) k The multiplication is defined in the Ogre source code: quaternion quaternio

Redcolor];8 9 //let the UIWindow show up (let the window be the main window and show it)Ten //an application can have only one main window One [Self.window makekeyandvisible]; A //let UIWindow become the main window - //[Self.window Makekeywindow]; - the //2. Create a window again -UIWindow *w2 = [[UIWindow alloc] Initwithframe:cgrectmake ( -, -, $, $)]; -W2.backgroundcolor =[Uicolor Y

Description RPG battles In your typical RPG games, you battle with bad guys, creatures, monsters or ghosts etc. all the time. after each battle, you may get magic potions that power you up, so you'll get stronger and stronger, and finally defeat the big boss. in this problem, we only consider two kinds of potion: stronger and double power. if you drink a bottle of stronger potion, your power increases by 1; if you drink a bottle ofdouble power potion, your power doubles.

simulated annealing algorithm has parallelism.Simple Application of Simulated Annealing AlgorithmAs an application of the simulated annealing algorithm, we discuss the traveling salesman problem (TSP): It has n cities and uses digital 1 ,..., N stands. The distance between city I and city J is d (I, j) I, j = 1 ,..., N. The TSP problem is to find a loop that is exactly once visited every city, and its path length is the shortest ..The simulated annealing algorithm model for solving TSP can be d

Let wi be any word in the text, if it is known in the text of the first word wi-1, you can use conditional probability P (WI | wi-1) to predict the probability of Wi appearance. This is the concept of the statistical language model. In general, if the variable W is used to represent any word sequence in the text, it is composed of N words in the ordered order, that is, W = w1w2... the statistical language model is the probability P (w) of the word Sequence W in the text ). Using the product form

"posterior probability" of 99% at once ". Calculation of joint probability After completing the above steps, can we draw a conclusion that this new email is a spam email? The answer is no. Because an email contains many words, some words (such as sex) say this is spam, and others say this is not. How do you know which word prevails? Paul Graham chose the top 15 words in the letter P (S | W) to calculate their union probability. ([Note] if some words appear for the first time and cannot calculat

题目大意：给定n个物品，分给m个人，每个人拿到wi个礼物，问方案数mod P P不一定为质数 首先我们把剩下的礼物也分给一个人 答案明显不变 w[++m]=n-w1-w2-...-wm 然后就会很方便地得到公式： ans=C(n,w1)*C(n-w1,w2)*C(n-w1-w2,w3)*...*C(n-w1-w2-...-w_(m-1),wm) mod P =n!/w1!/w2!/.../wm! mod P 然后p不是质数 我们把P分解 令P=∏pi^ai 我们分别处理，可以得到一次同余方程组ans%pi^ai=lefti，用中国剩余定理

=-I * k Four element addition:Q1 + q2 = (W1 + W2) + (X1 + x2) I + (Y1 + y2) J + (Z1 + Z2) kFour-element multiplication:Q1 * q2 =(W1 * W2-X1 * x2-Y1 * Y2-z1 * Z2) +(W1 * X2 + X1 * W2 + Y1 * Z2-z1 * Y2) I +(W1 * Y2-X1 * Z2 + Y1 * W2 + z1 * X1) J +(W1 * Z2 + X1 * Y2-Y1 * X2 + z1 * W2