matrix-multiplication

问题 This question already has an answer here : Unable to execute device kernel in CUDA (1 answer) Closed 4 years ago . What I am attempting to do is Multiply Matrix A & Matrix B and then from the product matrix I get the index of the maximum value per column. But unfortunately, only the first 128*128 values of the matrix multiplication are correct while others are just garbage. I do not quite understand how this works. I request you to kindly guide me with this .. #include<stdio.h> #include "cuda

问题 I have two 3D matrices: a = np.random.normal(size=[3,2,5]) b = np.random.normal(size=[5,2,3]) I want the dot product of each slice along 2 and 0 axes respectively: c = np.zeros([3,3,5]) # c.size is 45 c[:,:,0] = a[:,:,0].dot(b[0,:,:]) c[:,:,1] = a[:,:,1].dot(b[1,:,:]) ... I would like to do that using np.tensordot (for efficiency and speed) I have tried: c = np.tensordot(a, b, axes=[2,0]) but I get a 4D array with 36 elements (instead of 45). c.shape, c.size = ((3L, 2L, 2L, 3L), 36). I have

问题 I have a very simple function, as shown below def new_price(A, B, x): return np.linalg.inv(A @ B) @ x These are the inputs I give it A = np.array([ [2, 0, 1, 0], [1, 1, 1, 1], [0, 0, 0, 10] ]) B = np.array([ [3, 3, 3], [2, 0, 8], [0, 5, 3], [0, 0, 10] ]) x = np.array([ 84, 149, 500]) This returns the array [ 1. 3. 5.] . But, when I make the following equality check, it returns False v1 = new_price(A, B, x) v2 = np.array([1.0, 3.0, 5.0]) np.array_equal(new_price(A, B, [ 84, 149, 500]), np

问题 I have a very simple function, as shown below def new_price(A, B, x): return np.linalg.inv(A @ B) @ x These are the inputs I give it A = np.array([ [2, 0, 1, 0], [1, 1, 1, 1], [0, 0, 0, 10] ]) B = np.array([ [3, 3, 3], [2, 0, 8], [0, 5, 3], [0, 0, 10] ]) x = np.array([ 84, 149, 500]) This returns the array [ 1. 3. 5.] . But, when I make the following equality check, it returns False v1 = new_price(A, B, x) v2 = np.array([1.0, 3.0, 5.0]) np.array_equal(new_price(A, B, [ 84, 149, 500]), np

问题 I have the following code: //Start MPI... MPI_Init(&argc, &argv); int size = atoi(argv[1]); int delta = 10; int rnk; int p; int root = 0; MPI_Status mystatus; MPI_Comm_rank(MPI_COMM_WORLD, &rnk); MPI_Comm_size(MPI_COMM_WORLD, &p); //Checking compatibility of size and number of processors assert(size % p == 0); //Initialize vector... double *vector = NULL; vector = malloc(size*sizeof(double)); double *matrix = NULL; //Rank 0 ----------------------------------- if (rnk == 0) { //Initialize

问题 I have 4x4 matrix for object's transformations. float mat44[16]; But i don't know how to update OpenGL ModelView matrix using my matrix. should i use glTranslatef()/glRotatef() with relavant values from my matrix or should i use glLoadMatrix(),glMultMatrix() ? Pls help. Thanks. 回答1: If you want to apply your transformation to current transformation already in OpenGL matrix stack, then you should write: glMultMatrixf(mat44); But if you want to discard what's currently on top of OpenGL matrix

问题 Following Jama Matrices are defined in my code: P: 3*3 Matrix I: 3*3 identity Matrix K: 3*2 Matrix H: 2*3 Matrix Q: 3*3 Matrix Following is my code snippet: private Matrix getP() { P= (I.minus(K.times(H))).times(Q); Log.d("csv", "P is calculated"); return P; } While running the code, at first iteration it works, i.e, P is calculated is printed at the Logcat. However, it happens only once and the application gets stopped. Following is the error: java.lang.IllegalArgumentException: Matrix inner

问题 Following Jama Matrices are defined in my code: P: 3*3 Matrix I: 3*3 identity Matrix K: 3*2 Matrix H: 2*3 Matrix Q: 3*3 Matrix Following is my code snippet: private Matrix getP() { P= (I.minus(K.times(H))).times(Q); Log.d("csv", "P is calculated"); return P; } While running the code, at first iteration it works, i.e, P is calculated is printed at the Logcat. However, it happens only once and the application gets stopped. Following is the error: java.lang.IllegalArgumentException: Matrix inner

问题 I've spent a couple weeks on this issue and can't seem to find a proper solution and need some advice. I'm working on creating a Camera class using LWJGL/Java, and am using Quaternions to handle bearing (yaw), pitch and roll rotations. I'd like this camera to handle all 6 degrees of movement in 3D space, and roll. Bearing, Pitch and Roll are all quaternions. I multiply them into a 'change' quaternion, and create a translation matrix from that. I put that in a float buffer, and multiply the

问题 I want to multiply two 100-Digit Numbers In Excel using matrix. The issue in Excel is that after 15-digit, it shows only 0. So, the output also need to be in a Matrix. 1st Number: "9999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999" 2nd Number: "2222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222" Output: