matrix

问题 I am trying to read series of dicom images from a folder named as series 8.below is code to read series of dicom images from a particular folder.i am getting error index exceeds matrix dimensions at info = dicominfo(fullfile(fileFolder,fileNames{1})) . clear all; close all; clc; fileFolder = fullfile(pwd, 'series 8'); files = dir ( fullfile (fileFolder, '*.dcm')); fileNames = {files.name}; %examine file header (metadata , from dicom stack) info = dicominfo(fullfile(fileFolder,fileNames{1}))

问题 The Schrodinger equation for a time-dependent Hamiltonian is: I try to implement a solver for the Schrodinger equation for a time-dependent Hamiltonian in ode45 . However, because the Hamiltonian $H(t)$ is dependent on time. I do not know how to do interpolation in ode45 . Can you give me some hints? psi0 = [0 1]; H = [1 0;0 1]*cos(t); %this is wrong, I do not know how to implement this and pass it to ode45 hbar = 1; t = [0:1:100]; [T, psi] = ode45(dpsi, t, psi); function dpsi = f(t, psi, H,

问题 I've been trying to create a show instance in order to visualize a given matrix and also, to create an outline with columns around and in between the matrix. What I managed to accomplish so far is the following: data Mat a = Mat [[a]] instance (Show a) => Show (Mat a) where show (Mat x) = "\n" ++ " ---\n"++unlines ( map (\r -> showRow r ++ "\n ---") x ) ++ "\n" where showRow list = "¦ "++unwords ( map (\v -> show v ++" ¦") list) Assuming we have a matrix Mat [[1,2,3],[4,5,6]] that we would

问题 I need to fill a JTable with a static 2D array. I've created this model for the JTable : public class InsertMatToJTable extends AbstractTableModel{ String titre[] = {"age real", "sex real", "chest real", "resting_blood_pressure real","serum_cholestoral real","fasting_blood_sugar real","resting_electrocardiographic_results real","maximum_heart_rate_achieved real","exercise_induced_angina real","oldpeak real","slope real","number_of_major_vessels real","thal real", "class"}; String line; float

问题 I have written different code to produce different permutations of ones and minus ones. they work for matrixes with small dimensions: for example: S=[-1 -1 1 1 1 1 1 1]; P=unique(perms(S),'rows'); produces: -1 -1 1 1 1 1 1 1 -1 1 -1 1 1 1 1 1 -1 1 1 -1 1 1 1 1 -1 1 1 1 -1 1 1 1 -1 1 1 1 1 -1 1 1 -1 1 1 1 1 1 -1 1 -1 1 1 1 1 1 1 -1 1 -1 -1 1 1 1 1 1 1 -1 1 -1 1 1 1 1 1 -1 1 1 -1 1 1 1 1 -1 1 1 1 -1 1 1 1 -1 1 1 1 1 -1 1 1 -1 1 1 1 1 1 -1 1 1 -1 -1 1 1 1 1 1 1 -1 1 -1 1 1 1 1 1 -1 1 1 -1 1 1 1

问题 I would like to calculate the mean and standard deviation for every nth (in my case every 6) rows (or samples). The following function gives me the means for every 6 rows (96 rows gives me 16 mean values) colMeans(matrix(data.trim$X0, nrow=6)) I would like to do this for ALL columns (a total of 1280 mean values). I tried running this function: colMeans(matrix(data.trim, nrow=6)) but this does not work at all and I get the following error message: Error in colMeans(matrix(data.trim, nrow = 6))

问题 Guys, I'm trying to finish up my homework but I'm having some problems here on these models on openGL... any Idea why is my draw not happening? One thing that strange is that if I change to gluPerspective it works.. #include <GL/glut.h> #include <stdlib.h> #include <stdio.h> static int shoulder = 0; static int elbow = 0; void init(void) { glClearColor(1.0, 1.0, 1.0, 0.0); } void display(void) { glClear(GL_COLOR_BUFFER_BIT); glPushMatrix(); /* BASE */ glRotatef((GLfloat) shoulder, 0.0, 0.0, 1

问题 I am struggling with some very basic spark code. I would like to define a matrix x with 2 columns. This is what I have tried: scala> val s = breeze.linalg.linspace(-3,3,5) s: breeze.linalg.DenseVector[Double] = DenseVector(-3.0, -1.5, 0.0, 1.5, 3.0) // in this case I want s to be both column 1 and column 2 of x scala> val ss = s.toArray ++ s.toArray ss: Array[Double] = Array(-3.0, -1.5, 0.0, 1.5, 3.0, -3.0, -1.5, 0.0, 1.5, 3.0) scala> import org.apache.spark.mllib.linalg.distributed.RowMatrix

问题 before I start here is a a small subset of the data I'm working with, i apologize in advance for it being so large (note this is only the first 30 rows of an extremely large dataset: mydata<-structure(list(ParkName = c("SEP", "CSSP", "SEP", "ONF", "SEP", "ONF", "SEP", "CSSP", "ONF", "SEP", "CSSP", "PPRSP", "PPRSP", "SEP", "ONF", "PPRSP", "ONF", "SEP", "SEP", "ONF"), Year = c(2001, 2005, 1998,2011, 1991, 1991, 1991, 1991, 1991, 1992, 1992, 1992, 1992, 1992, 1992, 1992, 1992, 1993, 1994, 1994),

问题 Please note: I don't know where I am mistaking but I have spent whole day trying to solve this problem. So, I request not to discard it as duplicate question and treat this as a very specific question related to matrix structure. I have the following data.frame: dput(c.m.q) structure(list(ASK_Price = c(1801, 1687.3, 1687.2, 1688.95, 1687.15, 1688.95, 1687.5, 1688.85, 1689, 1688.95, 1687.5, 1688, 1688, 1687.5, 1689.95, 1685.85, 1689.9, 1689.95, 1688.8, 1688.95, 1687.15, 1687.2, 1690, 1688,