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R and Data analysis old notes (i) Use of basic mathematical functions

Creating a vector matrix > X1=c (2,3,6,8) > X2=c (1,2,3,4) > a1= (1:100) > length (A1) [1] 100> Length (x1) [1] 4> mode (x1) [1] "Numeric" > Rbind (x1,x2) [, 1] [, 2] [, 3] [, 4]x1 2 3 6 8x2 1 2 3 4> cbind (

The Garden of the bishop

Title DescriptionThe leader has recently been plagued by too many people to worship him, so he added a barrier to his garden.The area near the leader's garden can be pumped into a network of square grids, each corresponding to a coordinate (all integers, possibly negative), if two meshes (x1, y1), (x2, y2) have |x1-x2| + |y1-y2| = 1, the two meshes are adjacent, otherwise they are not adjacent.The leader se

Usaco Window Area Float method

The problem is to solve a few rectangular areas of the area is not obscured, you can use the floating method to solve, what the float method please see here Http://www.nocow.cn/index.php/USACO/window, the code is as follows:/*id:m1500293 lang:c++ Prog:window*/#include#include#includeusing namespacestd;Chars[ the];intbuttom, top;structwindow{Charname; intx1, y1, x2, y2;} win[ the];intNwin;voidOcreate (Chara[]) { CharN; intx1, y1, x2, y2; SSCANF (A,"W (%c,%d,%d,%d,%d)", n,

"Reprint" C + + basic and Design Pattern series ctor & Dtor

big, the standard way is to use the initialization list, as follows:Anotherclass (const SomeClass Para): Someclassinstance (Para) {};If you have more than one class member, you can use "," to split, such as:Anotherclass (const SomeClass Para1, UINT32 Para2):Someclassinstance (PARA1),Secondattr (PARA2),Thirdattr (PARA3) {};It is important to note that the order of initialization of class members and the order in which they are declared in a class should be consistent. This is controlled by com

C ++ basic skills and design pattern series ctor & dtor

method twice. This is too wasteful. The standard method is to use the initialization list, as shown below: Anotherclass (const someclass para): someclassinstance (para ){};If there are multiple class members, you can use "," to separate them, for example: Anotherclass (const someclass para1, uint32 para2 ):Someclassinstance (para1 ),Secondattr (para2 ),Thirdattr (para3 ){};It is worth noting that the initialization sequence of class members should be consistent with the declared sequence in t

NumPy Ufunc operation

result to, and if so, the Add function no longer produces a new array. Because of Python's operator overloading capabilities, the addition of two arrays can be simply written as A+b, while Np.add (A,b,a) can be represented by a+=b. The following is a list of the operators of the array and their corresponding ufunc functions, noting that the meaning of the division "/" differs depending on whether the __future__.division is activated. Operation corresponding function

Using Duplicatemovie and mask to simulate picture cutting

equation of the parabola is Y=a*x*x+b*x+c, that is to say, three points to determine the shape of the parabola, we define two random points to determine a random parabola. One of these is the starting point of the image, and then the other point should have the horizontal line between the other two points, Then the ordinate is above both, in order to have a feeling of upward throw. Suppose that now defines three points (x1,y1), (X2,y2), (x3,y3), then

"POJ 1105 S-trees"

S-treesTime limit:1000ms Memory limit:10000kTotal submissions:1850 accepted:989Description A Strange tree (s-tree) over the variable set Xn = {x1,x2,..., Xn} is a binary tree representing a Boolean function f:{0,1}- >{0,1}. Each path of the s-tree begins at the root node and consists of n+1 nodes. Each of the S-tree ' S nodes have a depth, which is the amount of nodes between itself and the root (so the root have depth 0) . The nodes with depth less t

Zoj s-trees 1150 (binary tree simulation)

S-trees time Limit:2 Seconds Memory limit:65536 KB A Strange Tree (s-tree) over the variable set Xn = {x1,x2,..., Xn} is A binary tree representing a Boolean function f:{0,1}->{0,1}. Each path of the s-tree begins at the root node and consists of n+1 nodes. Each of the S-tree ' S nodes have a depth, which is the amount of nodes between itself and the root (so the root have depth 0) . The nodes with depth less than n is called non-terminal nodes. All n

R language Visualization

# #数据获取X1=round (runif (100,min=80,max=100))X2=round (Rnorm (100,mean=80, sd=7))X3=round (Rnorm (100,mean=80,sd=18))X3[which (x3>100)]=100Num=seq (2005138101,length=100)X=data.frame (NUM,X1,X2,X3)Write.table (x, "Grade.txt")# #数据分析Y=read.table ("Grade.txt")Mean (y)Colmeans (y)Colmeans (Y) (C ("x1", "X2", "x3"))#//2 represents the average by columnApply (x, 2, mea

Calculate the peripheral circumference of a triangle

# Define Pai 3.1415926 # Include Stdio. h > # Include Math. h > // Calculate the peripheral circumference of a triangle // Triangle three sides a, B, c, half perimeter P (P = (A + B + C)/2) // Area: S = √ [P (P-A) (p-B) (p-C)] // Outer Circular radius R = ABC/4S // Outer circle radius R = ABC/4 √ [P (P-A) (p-B) (p-C)] // External circumference c = 2 * PAI * R Float S ( Float X1, Float Y1, Float X2, Float Y2, Float

Design a Filter Using MATLAB

Procedure 1: FS = 22050; % voice signal sampling frequency: 22050 X1 = wavread ('windows critical stop.wav '); % reads audio signal data and assigns it to the variable X1 Sound (x1, 22050); % play voice signal Y1 = FFT (x1, 1024); % perform 1024-point FFT transformation on the signal F = FS * (0: 511)/1024; Figure (1)

Go C + + basic and Design Pattern series ctor & Dtor

follows:Anotherclass (const SomeClass Para): Someclassinstance (Para) {};If you have more than one class member, you can use "," to split, such as:Anotherclass (const SomeClass Para1, UINT32 Para2):Someclassinstance (PARA1),Secondattr (PARA2),Thirdattr (PARA3) {};It is important to note that the order of initialization of class members and the order in which they are declared in a class should be consistent. This is controlled by compiler and is not based on the order of initialization you pr

Introduction to the principle of ECC encryption algorithms

in the same straight line, their sum is equal to zero yuan, that is, A + B + C = O ∞ ▲K same vertices P are added, and we are recorded as KP. For example, P + P = 2 p + P = 3 p. Next, we use the coordinates of p and q points (x1, Y1), (X2, Y2) to obtain the coordinates of R = p + q (X4, Y4 ).Example 4.1: Obtain the elliptic curve equation y2 + a1xy + a3y = X3 + a2x2 + a4x + A6. The common points are P (x1

Multi-process DP

not difficult, but many people lose the score of a question due to memory problems. We need to pay attention to every detail when reviewing the question. dp[x1][y1][x2][y2]=max(dp[x1-1][y1][x2-1][y2],dp[x1-1][y1][x2][y2-1],dp[x1][y1-1][x2-1][y2],dp[x1][y1-1][x2][y2-1])+map

"Csu_bmw officially set up commemorative competition" solution report

represents an arbitrary integer, it is irrelevant to the known amount of the question, according to some theorem, we can know that the number of Integer Solutions for this equation is much smaller than N in the question. Therefore, when we use O (n) Time to pre-process the possible locations of OA and ob, the enumeration and Judgment time is negligible, therefore, the overall complexity of the algorithm is O (n. After analysis, we can find that the enumerated positions are repeated once. Ther

An Algorithm for Finding the coordinates of the outer circle center of a triangle

//////////////////////////////////////// /// // Calculates the coordinates of the circle center of the triangle //////////////////////////////////////// /// Void circle_center (point * Center, point PT [3], double * radiu) { Double x1, x2, X3, Y1, Y2, Y3; Double X = 0; Double Y = 0; X1 = PT [0]. Pt. X;X2 = PT [1]. Pt. X;X3 = PT [2]. Pt. X;Y1 = PT [0]. Pt. Y;Y2 = PT [1]. Pt. Y;Y3 = PT [2]. Pt. Y; X = (y2-y1

Newton Interpolation Algorithm and implementation

Newton is really a cow, and the method of Laplace interpolation can only be regarded as mathematical interpolation. From the clever selection of Interpolation Basis Functions, it has already proved the existence and uniqueness of the interpolation method, but it is not very good from the perspective of implementation, and Newton solved this problem very well. Newton Interpolation is based on the following formula: F [x0, X1,... XK] = (F [

C language: Advanced part of turboc advanced programming [2]: drawing a fractal graph using C language

Http://www.hack86.com/read.php? Tid-20788.html # Include "graphics. H" # Include "stdlib. H" # Include "stdio. H" # Include "fcntl. H" # Include "Dos. H" Union regs R; Struct mouse { Int getit; Int x1; Int Y1; Int X2; Int Y2; } MS; Void MSB (float, float, Int, INT ); Void mouse_drop (struct mouse * In ); /* Define the mouse drag function, and select a rectangular area by pressing and opening the mouse */ Int data_processor (struct mouse M, float * x0,

URAL 1076 Trash Trash (maximum weight matching)

matching sub-graph6. All the odd edges on the path are not currently on the edge of the current matching sub-graph, and all the even-odd bars have entered the current matching sub-graph. An odd edge is one edge more than an even edge7. So when we add all of the odd-number edges to the matching sub-graph and delete the strip edges, the number of matches increases by 1.For example, the blue is the current matching sub-graph, currently only the Edge x0y0, and then through

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