There are a number of functions available for checking to see if the elements of a matrix meet some condition, and for rearranging the elements of a matrix. For example, Octave can easily tell you if all the elements of a matrix are finite, or are less than some specified value. Octave can also rotate the elements, extract the upper- or lower-triangular parts, or sort the columns of a matrix.
The functions any and all are useful for determining
whether any or all of the elements of a matrix satisfy some condition.
The find function is also useful in determining which elements of
a matrix meet a specified condition.
For a matrix argument, return a row vector of ones and zeros with each element indicating whether any of the elements of the corresponding column of the matrix are nonzero. For example,
any (eye (2, 4))
=> [ 1, 1, 0, 0 ]
To see if any of the elements of a matrix are nonzero, you can use a statement like
any (any (a))
all behaves like the function any, except
that it returns true only if all the elements of a vector, or all the
elements in a column of a matrix, are nonzero.
Since the comparison operators (see section Comparison Operators) return matrices of ones and zeros, it is easy to test a matrix for many things, not just whether the elements are nonzero. For example,
all (all (rand (5) < 0.9))
=> 0
tests a random 5 by 5 matrix to see if all of it's elements are less than 0.9.
Note that in conditional contexts (like the test clause of if and
while statements) Octave treats the test as if you had typed
all (all (condition)).
[errorcode, a, b] = common_size ([1 2; 3 4], 5)
=> errorcode = 0
=> a = [1 2, 3 4]
=> b = [5 5; 5 5]
This is useful for implementing functions where arguments can either be scalars or of common size.
diff (x) is the
vector of first differences
If x is a matrix, diff (x) is the matrix of column
differences.
The second argument is optional. If supplied, diff (x,
k), where k is a nonnegative integer, returns the
k-th differences.
isinf ([13, Inf, NaN])
=> [ 0, 1, 0 ]
isnan ([13, Inf, NaN])
=> [ 0, 0, 1 ]
finite ([13, Inf, NaN])
=> [ 1, 0, 0 ]
find returns a vector of indices of nonzero elements
of a matrix. To obtain a single index for each matrix element, Octave
pretends that the columns of a matrix form one long vector (like Fortran
arrays are stored). For example,
find (eye (2))
=> [ 1; 4 ]
If two outputs are requested, find returns the row and column
indices of nonzero elements of a matrix. For example,
[i, j] = find (2 * eye (2))
=> i = [ 1; 2 ]
=> j = [ 1; 2 ]
If three outputs are requested, find also returns a vector
containing the the nonzero values. For example,
[i, j, v] = find (3 * eye (2))
=> i = [ 1; 2 ]
=> j = [ 1; 2 ]
=> v = [ 3; 3 ]
fliplr ([1, 2; 3, 4])
=> 2 1
4 3
flipud ([1, 2; 3, 4])
=> 3 4
1 2
rot90 ([1, 2; 3, 4], -1)
=> 3 1
4 2
rotates the given matrix clockwise by 90 degrees. The following are all equivalent statements:
rot90 ([1, 2; 3, 4], -1) rot90 ([1, 2; 3, 4], 3) rot90 ([1, 2; 3, 4], 7)
For example,
reshape ([1, 2, 3, 4], 2, 2)
=> 1 3
2 4
If the variable do_fortran_indexing is nonzero, the
reshape function is equivalent to
retval = zeros (m, n); retval (:) = a;
but it is somewhat less cryptic to use reshape instead of the
colon operator. Note that the total number of elements in the original
matrix must match the total number of elements in the new matrix.
If x is a matrix, do the same for each column of x.
sort orders the elements in each
column.
For example,
sort ([1, 2; 2, 3; 3, 1])
=> 1 1
2 2
3 3
The sort function may also be used to produce a matrix
containing the original row indices of the elements in the sorted
matrix. For example,
[s, i] = sort ([1, 2; 2, 3; 3, 1])
=> s = 1 1
2 2
3 3
=> i = 1 3
2 1
3 2
Since the sort function does not allow sort keys to be specified,
so it can't be used to order the rows of a matrix according to the
values of the elements in various columns(6)
in a single call. Using the second output, however, it is possible to
sort all rows based on the values in a given column. Here's an example
that sorts the rows of a matrix based on the values in the second
column.
a = [1, 2; 2, 3; 3, 1];
[s, i] = sort (a (:, 2));
a (i, :)
=> 3 1
1 2
2 3
tril)
or upper (triu) triangular part of the matrix a, and
setting all other elements to zero. The second argument is optional,
and specifies how many diagonals above or below the main diagonal should
also be set to zero.
The default value of k is zero, so that triu and
tril normally include the main diagonal as part of the result
matrix.
If the value of k is negative, additional elements above (for
tril) or below (for triu) the main diagonal are also
selected.
The absolute value of k must not be greater than the number of sub- or super-diagonals.
For example,
tril (ones (3), -1)
=> 0 0 0
1 0 0
1 1 0
and
tril (ones (3), 1)
=> 1 1 0
1 1 1
1 1 1
See Magnus and Neudecker (1988), Matrix differential calculus with applications in statistics and econometrics.
See Magnus and Neudecker (1988), Matrix differential calculus with applications in statistics and econometrics.
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