squares on checkerboard

Chinese problem, title no longer explained, simple DFS;#include #include #include #include #include BOOL Maps[10][10];//maps make a chessboard, judge this point can play chess maps[0][i] used to record column I can play chessint N, k, ans, Hang;//hang represents the moment in the first few lines of chessvoid DFS (int k){if (k = = 0) {//pieces are put outans++;Return}if (Hang > N)//The number of rows checked is greater than or equal to N, at which point K is not equal to 0;Returnif (N-hang + 1 Re

][j][k]+=dp[i-1][k][j-1]* (k) * (m-j-k+1)/2;5: Put a gun in a row with a gun and a gun in a row with a cannon, the equation is dp[i][k][j]+= (k+2) * (k+1)/2*dp[i-1][k+2][j-2];6: Put a gun in a row without a gun and put a gun in a row without a gun, the equation is dp[i][k][j]+= (m-j-k+2) * (m-j-k+1)/2*dp[i-1][k-2][j];Okay, now we can put the code on.　　#include #include#defineMoD 999983using namespacestd;intn,m;Long Long intdp[101][101][101],ans=0;intMain () {scanf ("%d%d",n,m); dp[0][0][0]=1; f

Title Description Given a 4*4 01 chessboard, 1 represents a pawn, 0 represents a space, and a pawn 1 can be moved to a space next to or below four positions in each of the adjacent places. Then given your target chessboard, ask you at least how many steps you can take to turn the current chessboard into a target checkerboard state. input The first line enters an integer t, which indicates that there is a T group of test data. Next, we give a 4*4 of o

topic AC.Idea: Store the Board area position in an array, and then each checkerboard area either places a piece, or does not put a pawn, deep search (equivalent to generate the number of permutations).For a chessboard area can play chess pieces, like the eight queens, we use two Boolean array to maintain, r[i] to indicate whether there is a pawn in line I, C[j] Indicates whether there is a pawn in column J.The deep search function maintains two param

Test instructionsGive you a n*n checkered checkerboard with a non-negative number in each lattice.Take out a number of the number, so that any of the two number of the lattice does not have a common edge, that is, the number of the 2 lattice is not adjacent, and the number of the largest. Analysis: The direct enumeration of all conditions after compression time-out, so the first line all possible cases and get the corresponding and the situation, the

A square chart with n*n (n Someone from a point in the upper left corner of the picture, you can walk down, or to the right, until you reach the lower right corner of point B. On the way, he can take the number in the squares (the squares will change to the number 0). This person from point A to point B to walk two times, try to find out 2 such paths, so that the sum of the obtained number is the largest.

In this paper, the basic least squares and least squares with constrained conditions are explained.A basic least squares methodThe least square method is the most basic algorithm in regression. It is the square error for the output of the model and the output of the training sample (also multiplied by 1/2, just to simplify the derivation) for the hour of learning

Main content: What is least squares The geometrical meaning of least squares Orthogonal projection matrix What is least squares?Suppose we have n-pairs of data on our hands, {(Xi,yi): I=1...N}, in order to explore the relationship between the Y-variable and the X-variable, we want to match it with a polynomial, but how are the coefficients i

http://www.zhihu.com/question/20822481 know the user,non-paper, non-rationaleSpirit_dongdong,wildog,MT practices and others agree Agree @ Zhang Ziquan, add a little bit more. Look at the problem estimates, the subject may be Learning machine learning things, so there will be this problem. But as other people have pointed out, the two approaches are not quite comparable. But I had a similar problem when I was learning. Then my question was,What is the difference between the matrix solution of le

In physical experiments, it is often necessary to observe two physical quantities with functional relationships. The curve fitting problem in experimental data processing is determined based on the observation data of two quantities of many groups to determine their function curves. This kind of problem usually has two kinds of situations: one is the function form of two observations x and Y is known, but some parameters are unknown, need to determine the best estimate of the unknown parameter,

Main content: 1. Definition of QR decomposition 2. QR decomposition method 3. QR decomposition and least squares 4. MATLAB implementation I. QR decomposition The r decomposition method is one of the three ways to decompose a matrix. In this way, the matrix is decomposed into an orthogonal matrix and the product of an upper triangle matrix. QR decomposition is often used to solve the linear least squa