Next: Special Utility Matrices, Previous: Finding Elements and Checking Conditions, Up: Matrix Manipulation [Contents][Index]
Flip array left to right.
Return a copy of x with the order of the columns reversed. In other words, x is flipped left-to-right about a vertical axis. For example:
fliplr ([1, 2; 3, 4])
⇒ 2 1
4 3
Flip array upside down.
Return a copy of x with the order of the rows reversed. In other words, x is flipped upside-down about a horizontal axis. For example:
flipud ([1, 2; 3, 4])
⇒ 3 4
1 2
Flip array across dimension dim.
Return a copy of x flipped about the dimension dim. dim defaults to the first non-singleton dimension. For example:
flip ([1 2 3 4])
⇒ 4 3 2 1
flip ([1; 2; 3; 4])
⇒ 4
3
2
1
flip ([1 2; 3 4])
⇒ 3 4
1 2
flip ([1 2; 3 4], 2)
⇒ 2 1
4 3
See also: fliplr, flipud, rot90, rotdim, permute, transpose.
Rotate array by 90 degree increments.
Return a copy of A with the elements rotated counterclockwise in 90-degree increments.
The second argument is optional, and specifies how many 90-degree rotations are to be applied (the default value is 1). Negative values of k rotate the matrix in a clockwise direction. For example,
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)
The rotation is always performed on the plane of the first two dimensions,
i.e., rows and columns. To perform a rotation on any other plane, use
rotdim.
Return a copy of x with the elements rotated counterclockwise in 90-degree increments.
The second argument n is optional, and specifies how many 90-degree rotations are to be applied (the default value is 1). Negative values of n rotate the matrix in a clockwise direction.
The third argument is also optional and defines the plane of the rotation. If present, plane is a two element vector containing two different valid dimensions of the matrix. When plane is not given the first two non-singleton dimensions are used.
For example,
rotdim ([1, 2; 3, 4], -1, [1, 2])
⇒ 3 1
4 2
rotates the given matrix clockwise by 90 degrees. The following are all equivalent statements:
rotdim ([1, 2; 3, 4], -1, [1, 2]) rotdim ([1, 2; 3, 4], 3, [1, 2]) rotdim ([1, 2; 3, 4], 7, [1, 2])
Return the concatenation of N-D array objects, array1, array2, …, arrayN along dimension dim.
A = ones (2, 2);
B = zeros (2, 2);
cat (2, A, B)
⇒ 1 1 0 0
1 1 0 0
Alternatively, we can concatenate A and B along the second dimension in the following way:
[A, B]
dim can be larger than the dimensions of the N-D array objects and the result will thus have dim dimensions as the following example shows:
cat (4, ones (2, 2), zeros (2, 2))
⇒ ans(:,:,1,1) =
1 1
1 1
ans(:,:,1,2) =
0 0
0 0
Return the horizontal concatenation of N-D array objects, array1, array2, …, arrayN along dimension 2.
Arrays may also be concatenated horizontally using the syntax for creating new matrices. For example:
hcat = [ array1, array2, … ]
Return the vertical concatenation of N-D array objects, array1, array2, …, arrayN along dimension 1.
Arrays may also be concatenated vertically using the syntax for creating new matrices. For example:
vcat = [ array1; array2; … ]
Return the generalized transpose for an N-D array object A.
The permutation vector perm must contain the elements
1:ndims (A) (in any order, but each element must appear only
once). The Nth dimension of A gets remapped to dimension
PERM(N). For example:
x = zeros ([2, 3, 5, 7]); size (x) ⇒ 2 3 5 7 size (permute (x, [2, 1, 3, 4])) ⇒ 3 2 5 7 size (permute (x, [1, 3, 4, 2])) ⇒ 2 5 7 3 ## The identity permutation size (permute (x, [1, 2, 3, 4])) ⇒ 2 3 5 7
See also: ipermute.
The inverse of the permute function.
The expression
ipermute (permute (A, perm), perm)
returns the original array A.
See also: permute.
Return a matrix with the specified dimensions (m, n, …) whose elements are taken from the matrix A.
The elements of the matrix are accessed in column-major order (like Fortran arrays are stored).
The following code demonstrates reshaping a 1x4 row vector into a 2x2 square matrix.
reshape ([1, 2, 3, 4], 2, 2)
⇒ 1 3
2 4
Note that the total number of elements in the original matrix
(prod (size (A))) must match the total number of elements
in the new matrix (prod ([m n …])).
A single dimension of the return matrix may be left unspecified and Octave will determine its size automatically. An empty matrix ([]) is used to flag the unspecified dimension.
Resize x cutting off elements as necessary.
In the result, element with certain indices is equal to the corresponding element of x if the indices are within the bounds of x; otherwise, the element is set to zero.
In other words, the statement
y = resize (x, dv)
is equivalent to the following code:
y = zeros (dv, class (x));
sz = min (dv, size (x));
for i = 1:length (sz)
idx{i} = 1:sz(i);
endfor
y(idx{:}) = x(idx{:});
but is performed more efficiently.
If only m is supplied, and it is a scalar, the dimension of the result is m-by-m. If m, n, … are all scalars, then the dimensions of the result are m-by-n-by-…. If given a vector as input, then the dimensions of the result are given by the elements of that vector.
An object can be resized to more dimensions than it has; in such case the missing dimensions are assumed to be 1. Resizing an object to fewer dimensions is not possible.
Circularly shift the values of the array x.
n must be a vector of integers no longer than the number of dimensions in x. The values of n can be either positive or negative, which determines the direction in which the values or x are shifted. If an element of n is zero, then the corresponding dimension of x will not be shifted. For example:
x = [1, 2, 3; 4, 5, 6; 7, 8, 9];
circshift (x, 1)
⇒ 7, 8, 9
1, 2, 3
4, 5, 6
circshift (x, -2)
⇒ 7, 8, 9
1, 2, 3
4, 5, 6
circshift (x, [0,1])
⇒ 3, 1, 2
6, 4, 5
9, 7, 8
If x is a vector, perform a circular shift of length b of the elements of x.
If x is a matrix, do the same for each column of x.
If the optional dim argument is given, operate along this dimension.
Shift the dimensions of x by n, where n must be an integer scalar.
When n is positive, the dimensions of x are shifted to the left, with the leading dimensions circulated to the end. If n is negative, then the dimensions of x are shifted to the right, with n leading singleton dimensions added.
Called with a single argument, shiftdim, removes the leading
singleton dimensions, returning the number of dimensions removed in the
second output argument ns.
For example:
x = ones (1, 2, 3); size (shiftdim (x, -1)) ⇒ [1, 1, 2, 3] size (shiftdim (x, 1)) ⇒ [2, 3] [b, ns] = shiftdim (x) ⇒ b = [1, 1, 1; 1, 1, 1] ⇒ ns = 1
Return a copy of x with the elements arranged in increasing order.
For matrices, sort orders the elements within columns
For example:
sort ([1, 2; 2, 3; 3, 1])
⇒ 1 1
2 2
3 3
If the optional argument dim is given, then the matrix is sorted
along the dimension defined by dim. The optional argument mode
defines the order in which the values will be sorted. Valid values of
mode are "ascend" or "descend".
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
For equal elements, the indices are such that equal elements are listed in the order in which they appeared in the original list.
Sorting of complex entries is done first by magnitude
(abs (z)) and for any ties by phase angle
(angle (z)). For example:
sort ([1+i; 1; 1-i])
⇒ 1 + 0i
1 - 1i
1 + 1i
NaN values are treated as being greater than any other value and are sorted to the end of the list.
The sort function may also be used to sort strings and cell arrays
of strings, in which case ASCII dictionary order (uppercase ’A’ precedes
lowercase ’a’) of the strings is used.
The algorithm used in sort is optimized for the sorting of partially
ordered lists.
Sort the rows of the matrix A according to the order of the columns specified in c.
If c is omitted, a lexicographical sort is used. By default ascending order is used however if elements of c are negative then the corresponding column is sorted in descending order.
See also: sort.
Return true if the array is sorted according to mode, which
may be either "ascending", "descending", or
"either".
By default, mode is "ascending". NaNs are treated in the
same manner as sort.
If the optional argument "rows" is supplied, check whether
the array is sorted by rows as output by the function sortrows
(with no options).
This function does not support sparse matrices.
Select the n-th smallest element of a vector, using the ordering defined by
sort.
The result is equivalent to sort(x)(n).
n can also be a contiguous range, either ascending l:u
or descending u:-1:l, in which case a range of elements is returned.
If x is an array, nth_element operates along the dimension
defined by dim, or the first non-singleton dimension if dim is
not given.
Programming Note: nth_element encapsulates the C++ standard library
algorithms nth_element and partial_sort. On average, the complexity of the
operation is O(M*log(K)), where M = size (x, dim) and
K = length (n). This function is intended for cases where
the ratio K/M is small; otherwise, it may be better to use sort.
Return a new matrix formed by extracting the lower (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.
If the value of k is nonzero integer, the selection of elements starts at an offset of k diagonals above or below the main diagonal; above for positive k and below for negative k.
The absolute value of k must not be greater than the number of subdiagonals or superdiagonals.
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
If the option "pack" is given as third argument, the extracted
elements are not inserted into a matrix, but rather stacked column-wise one
above other.
See also: diag.
Return the vector obtained by stacking the columns of the matrix x one above the other.
Without dim this is equivalent to x(:).
If dim is supplied, the dimensions of v are set to dim
with all elements along the last dimension. This is equivalent to
shiftdim (x(:), 1-dim).
Return the vector obtained by eliminating all superdiagonal elements of the square matrix x and stacking the result one column above the other.
This has uses in matrix calculus where the underlying matrix is symmetric and it would be pointless to keep values above the main diagonal.
See also: vec.
Prepend the scalar value c to the vector x until it is of length l. If c is not given, a value of 0 is used.
If length (x) > l, elements from the beginning of x
are removed until a vector of length l is obtained.
If x is a matrix, elements are prepended or removed from each row.
If the optional argument dim is given, operate along this dimension.
If dim is larger than the dimensions of x, the result will have dim dimensions.
Append the scalar value c to the vector x until it is of length l. If c is not given, a value of 0 is used.
If length (x) > l, elements from the end of x are
removed until a vector of length l is obtained.
If x is a matrix, elements are appended or removed from each row.
If the optional argument dim is given, operate along this dimension.
If dim is larger than the dimensions of x, the result will have dim dimensions.
Return a diagonal matrix with vector v on diagonal k.
The second argument is optional. If it is positive, the vector is placed on the k-th superdiagonal. If it is negative, it is placed on the -k-th subdiagonal. The default value of k is 0, and the vector is placed on the main diagonal. For example:
diag ([1, 2, 3], 1)
⇒ 0 1 0 0
0 0 2 0
0 0 0 3
0 0 0 0
The 3-input form returns a diagonal matrix with vector v on the main diagonal and the resulting matrix being of size m rows x n columns.
Given a matrix argument, instead of a vector, diag extracts the
k-th diagonal of the matrix.
Build a block diagonal matrix from A, B, C, …
All arguments must be numeric and either two-dimensional matrices or scalars. If any argument is of type sparse, the output will also be sparse.
Next: Special Utility Matrices, Previous: Finding Elements and Checking Conditions, Up: Matrix Manipulation [Contents][Index]