Programming |
true
or false
, or even other MATLAB structure types. MATLAB uses these two-dimensional matrices to store single numbers and linear series of numbers as well. In these cases, the dimensions are 1-by-1 and 1-by-n respectively, where n
is the length of the numeric series. MATLAB also supports data structures that have more than two dimensions. These data structures are referred to as arrays in the MATLAB documentation. Creating and Concatenating Matrices |
Create a matrix or construct one from other matrices. |
Matrix Indexing |
Access or assign to elements of a matrix using methods of row and column indexing. |
Getting Information About a Matrix |
Retrieve information about the structure or contents of a matrix. |
Resizing and Reshaping Matrices |
Change the size, shape, or arrangement of elements in an existing matrix. |
Shifting and Sorting Matrices |
Shift matrix elements along one or more dimensions, or sort them into an ascending or descending order. |
Operating on Diagonal Matrices |
Construct and manipulate matrices along a diagonal of the rectangular shape. |
Empty Matrices, Scalars, and Vectors |
Work with matrices that have one or more dimensions equal to zero or one. |
Full and Sparse Matrices |
Conserve memory and get optimal performance with more efficient storage of matrices that contain a large number of zero values. |
Multidimensional Arrays |
Create and work with arrays that have more than two dimensions. |
Summary of Matrix and Array Functions |
Quick reference to the functions commonly used in working with matrices. |
Programming | Creating and Concatenating Matrices |
© 1994-2005 The MathWorks, Inc.