I have value like this
18.000000
11.000000
5.635000
I want it to concatenate like this
18:11:5.635
how can I do this can any body guide me.
MATLAB: Concatenating 3×1 array
MATLAB
Related Solutions
I am guessing that unlike your example you actually want the columns to be aligned, e.g. where M is your matrix:
>> fprintf(' %9d %9.6f %15.6f %15.6f\n',M.') 1 0.000000 0.000000 0.000000 2 0.000000 0.000000 4.000000 3 0.000000 0.000000 1.000000 4 0.000000 0.000000 2.000000 5 0.000000 11.000000 4.000000 6 0.000000 12.000000 4.000000 7 0.000000 13.000000 4.000000 8 0.000000 14.000000 4.000000 9 0.000000 15.000000 4.000000 10 0.000000 16.000000 4.000000 11 0.000000 17.000000 4.000000 12 0.000000 18.000000 4.000000 13 0.000000 12.000000 0.000000 14 0.000000 11.000000 0.000000 15 0.000000 10.000000 0.000000You can probably improve on this and in terms of actual efficiency I am not sure it's better than what you have, but I am assuming you wanted something that makes it so you don't run a loop on all the matrix multiplies:
%%%% OLD %%%%
clear all;close all;%% Import the data file
M = importdata('6x300_input_data.txt');%% u,v,w are inputs taken from the data file that are each their own column
u = M.data(:,3);v = M.data(:,4);w = M.data(:,5);%% Time variable in seconds that is pulled from data
t_in = M.data(:,6);lambda = -60; %longitude in degrees
omega = 0.004; %Rate
phi = 30; %measurement in degrees
UVW = [u,v,w];%% Array to populate the series of A matrices that will be multiplied by
%each instance of UVW
A = arrayfun(@(t_in)[ -sind(lambda - omega*t_in) cosd(lambda - omega*t_in) 0; -sind(phi)*cosd(lambda-omega*t_in) -sind(phi)*sind(lambda - omega*t_in) cosd(phi); cosd(phi)*cosd(lambda - omega*t_in) cosd(phi)*sind(lambda - omega*t_in) sind(phi)],t_in,'UniformOutput',false);%% proper outputs that are desired but want to find a better way...
C = A{1,1}*UVW(1,:)'D = A{2,1}*UVW(2,:)'E = A{3,1}*UVW(3,:)'F = A{4,1}*UVW(4,:)'G = A{5,1}*UVW(5,:)'H = A{6,1}*UVW(6,:)'disp(C:H);%%%% NEW %%%%
%% General Idea:
a = A{2,1}(:);b = repmat(UVW(2,:),3,1);b = b(:);p = a.*b; % individual products
%% Implement:
A_hat = [ -sind(lambda - omega*t_in), ... cosd(lambda - omega*t_in), ... zeros(size(t_in)), ... -sind(phi)*cosd(lambda-omega*t_in), ... -sind(phi)*sind(lambda - omega*t_in), ... ones(size(t_in))*cosd(phi), ... cosd(phi)*cosd(lambda - omega*t_in), ... cosd(phi)*sind(lambda - omega*t_in), ... ones(size(t_in))*sind(phi)];B_hat = repmat(UVW,1,3);P = A_hat .* B_hat;%% I think differences may just be finite-math issues:
output = [sum(P(:,1:3),2), sum(P(:,4:6),2), sum(P(:,7:9),2)].';disp('output(:,1) - C:');disp(output(:,1) - C);disp('output(:,2) - D:');disp(output(:,2) - D);disp('output(:,3) - E:');disp(output(:,3) - E);disp('output(:,4) - F:');disp(output(:,4) - F);disp('output(:,5) - G:');disp(output(:,5) - G);disp('output(:,6) - H:');disp(output(:,6) - H);
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