Creating matrix variables, MATLAB Programming

Creating Matrix Variables:

Creating a matrix variable is actually just a generalization of creating a row and column vector variables. That is, the values within the row are separated by either commas or spaces, and the various rows are separated by the semicolons. For illustration, the matrix variable mat is created by explicitly typing the values:

>> mat = [4 3 1; 2 5 6]

mat =

4   3    1

2   5    6

There should always be similar number of values in each row. If you try to generate a matrix in which there are various numbers of values in the rows, the outcome will be an error message; for illustration:

>> mat = [3 5 7; 1 2]

??? Error using ==> vertcat

 

 

Posted Date: 10/18/2012 4:18:52 AM | Location : United States







Related Discussions:- Creating matrix variables, Assignment Help, Ask Question on Creating matrix variables, Get Answer, Expert's Help, Creating matrix variables Discussions

Write discussion on Creating matrix variables
Your posts are moderated
Related Questions
Your task is to implement the PHYSAT algorithm in Matlab to classify the phytoplankton species in the data you have selected. An algorithm demonstrating one solution is provided b


a) Develop and submit a power-based MC "SNR" simulator (derived from the voltage-based SNR program provided in MS Powerpoint file) that: i) Uses the following Input: Time period

There are many approaches to numerically estimating the derivative of the function.  The relationship:   is called a forward difference, since the estimate of the derivativ

hi i have this programm function [IRN,number ] = randnumbers( IRN ) IRN=int32(IRN) ITOTAL=(IRN*330)+100 ITOTAL=int32(ITOTAL); IQUOTIENT=ITOTAL/2303 IQUOTIENT=int32(IQUOTIENT);

Illustration of Variable number of input arguments: In this situation, it was supposed that the radius will always be passed to the function. The function header can hence be


I need assistance in learning on how to do simulation of system described with an algebraic equations.

For a statistically stationary environment it would be advantageous to use gear shifting, that is to reduce the adaptation gain with time. To illustrate this, try using a varying a