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Syntax conversion table

Between Matlab, Armadillo C++ and ArmadilloJava

Note: Currently, only real-valued dense matrices with double precision are supported.

Matrix initialisation

Matlab Armadillo C++ ArmadilloJava Notes 
                       | A()                        | A()                             |

A = [ ... ] | A << ... << endr; | A(new double[]{ ... }) | Note: Results in a column vector. A = [ ... ] | A << ... << endr; | A(new double[][]{ ... }) | A = B | A(B); | A(B) | | A(" ... "); | | Not suppported | A(n) | A(n) | Note: Results in a column vector. Matlab: Use zeros(n, 1) | A(n, m) | A(n, m) | Matlab: Use zeros(n, m) | A(n, fill::none) | A(n, Fill.NONE) | Note: Results in a column vector. Matlab: Use zeros(n, 1) | A(n, m, fill::none) | A(n, m, Fill.NONE) | Matlab: Use zeros(n, m) zeros(n, 1) | A(n, fill::zeros) | A(n, Fill.ZEROS) | Note: Results in a column vector. zeros(n, m) | A(n, m, fill::zeros) | A(n, m, Fill.ZEROS) | ones(n, 1) | A(n, fill::ones) | A(n, Fill.ONES) | Note: Results in a column vector. ones(n, m) | A(n, m, fill::ones) | A(n, m, Fill.ONES) | eye(n, m) | A(n, m, fill::eye) | A(n, m, Fill.EYE) | randu(n, 1) | A(n, fill::randu) | A(n, Fill.RANDU, rng) | Note: Results in a column vector. Note: rng is a random number generator. randu(n, m) | A(n, m, fill::randu) | A(n, m, Fill.RANDU, rng) | Note: rng is a random number generator. randn(n, 1) | A(n, fill::randn) | A(n, Fill.RANDN, rng) | Note: Results in a column vector. Note: rng is a random number generator. randn(n, m) | A(n, m, fill::randn) | A(n, m, Fill.RANDN, rng) | Note: rng is a random number generator.

Matrix generation

Matlab Armadillo C++ ArmadilloJava Notes
zeros(n, 1) zeros(n) Arma.zeros(n) Note: Results in a column vector.
zeros(n, m) zeros(n, m) Arma.zeros(n, m)
ones(n, 1) ones(n) Arma.ones(n) Note: Results in a column vector.
ones(n, m) ones(n, m) Arma.ones(n, m)
eye(n, m) eye(n, m) Arma.eye(n, m)
randu(n, 1) randu(n) Arma.randu(n, rng) Note: Results in a column vector.
randu(n, m) randu(n, m) Arma.randu(n, m, rng)
randn(n, 1) randn(n) Arma.randn(n, rng) Note: Results in a column vector.
randn(n, m) randn(n, m) Arma.randn(n, m, rng)
repmat(A, n, m) repmat(A, n, m) Arma.repmat(A, n, m)
toeplitz(A [, B]) toeplitz(A [, B]) Arma.toeplitz(A [, B]) 
                       | circ_toeplitz(A)           | Arma.circ_toeplitz(A)           | **Matlab:** [Matlab Central File Excange - Circulant matrix](http://www.mathworks.com/matlabcentral/fileexchange/22858)

linspace(a, b [, n]) | linspace(a, b [, n]) | Arma.linspace(a, b [, n]) | Note: Generates a column vector. Default: n = 100

Matrix attributes

Matlab Armadillo C++ ArmadilloJava Notes
size(A, 2) A.n_cols A.n_cols
size(A, 1) A.n_rows A.n_rows
numel(A) A.n_elem A.n_elem

Element access

Matlab Armadillo C++ ArmadilloJava Notes
A(i+1, j+1) A(i, j) A(i, j)
A(n+1) A(n) A(n)

Member functions

Submatrix views

Contiguous views

Matlab Armadillo C++ ArmadilloJava Notes
A(:, :) A.submat(span::all, span::all) A
A(:, :) A(span::all, span::all) A
A(:, j) A.col(j) A.col(j) 
                                  | A.unsafe_col(j)                      |                                              | *Not suppported*

A(:, j) | A(span::all, j) | A.col(Span.all, j) | A(a:b, j) | A(span(a, b), j) | A.col(new Span(a, b), j) | A(:, a:b) | A.cols(a, b) | A.cols(a, b) | A(:, a:b) | A.submat(span::all, span(a, b)) | A.submat(Span.all, new Span(a, b)) | A(:, a:b) | A(span::all, span(a, b)) | A.submat(Span.all, new Span(a, b)) | A(i, :) | A.row(i) | A.row(i) | A(i, :) | A(i, span::all) | A.row(i, Span.all) | A(i, a:b) | A(i, span(a, b)) | A.row(i, new Span(a, b)) | A(a:b, :) | A.rows(a, b) | A.rows(a, b) | A(a:b, :) | A.submat(span(a, b), span::all) | A.submat(new Span(a, b), Span.all) | A(a:b, :) | A(span(a, b), span::all) | A.submat(new Span(a, b), Span.all) | A(ai:bi, aj:bj) | A.submat(ai, bi, aj, bj) | A.submat(ai, bi, aj, bj) | A(ai:bi, aj:bj) | A.submat(span(ai, bi), span(aj, bj)) | A.submat(new Span(ai, bi), new Span(aj, bj)) | A(a:a + n_rows, b:b + n_cols) | A(a, b, size(n_rows, n_cols)) | A.submat(a, b, new Size(n_rows, n_cols)) | A(a:a + size(B, 1), b:b + size(B, 2)) | A(a, b, size(B)) | A.submat(a, b, new Size(B)) | Note: B is a matrix. A(ai:bi, aj:bj) | A(span(ai, bi), span(aj, bj)) | A.submat(new Span(ai, bi), new Span(aj, bj)) | A(a:b) | A.subvec(a, b) | A.subvec(a, b) | Note: A is a vector. A(a:b) | A(span(a, b)) | A.subvec(new Span(a, b)) | Note: A is a vector.

Non-contiguous views

Matlab Armadillo C++ ArmadilloJava Notes
A(I) A.elem(I) A.elem(I) Note: I is a vector.
A(I) A(I) A.elem(I) Note: I is a vector.
A(:, J) A.cols(J) A.cols(J) Note: J is a vector.
A(I, :) A.rows(I) A.rows(I) Note: I is a vector.
A(I, J) A.submat(I, J) A.submat(I, J) Note: I, J are vectors.
A(I, J) A(I, J) A.submat(I, J) Note: I, J are vectors.

Miscellaneous views

Matlab Armadillo C++ ArmadilloJava Notes
diag(A, [k]) A.diag([k]) A.diag([k]) Default: k = 0 
                       | A.each_col([I])            | A.each_col([I])                 | **Note:** I is a vector. **Matlab:** Use bsxfun
                       | A.each_row([I])            | A.each_row([I])                 | **Note:** I is a vector. **Matlab:** Use bsxfun

Arithmetic operations

Operation Matlab Armadillo C++ ArmadilloJava
Plus A + B A + B A.plus(B)
Minus A - B A - B A.minus(B)
Times A * B A * B A.times(B)
Element-wise times A .* B A % B A.elemTimes(B)
Element-wise divide A ./ B A / B A.elemDivide(B)
Negate -A -A A.negate()

Inplace operations

ArmadilloJava: A.view(... is a place holder for any of the specific views given above. Use A.inPlace(Op. ...) for in-place operations on all elements.

Operation Matlab Armadillo C++ ArmadilloJava
Increment A = A + 1 A++ A.view(..., Op.INCREMENT)
Decrement A = A - 1 A-- A.view(..., Op.DECREMENT)
Plus A = A + B A += B A.view(..., Op.PLUS, B)
Minus A = A - B A -= B A.view(..., Op.MINUS, B)
Element-wise times A = A .* B A %= B A.view(..., Op.ELEMTIMES, B)
Element-wise divide A = A ./ B A /= B A.view(..., Op.ELEMDIVIDE, B)
Equal A = B A = B A.view(..., Op.EQUAL, B)

Relational operations

Operation Matlab Armadillo C++ ArmadilloJava
Equal A == B A == B Op.evaluate(A, Op.EQUAL, B)
Not equal A != B A != B Op.evaluate(A, Op.NOT_EQUAL, B)
Strict less than A < B A < B Op.evaluate(A, Op.STRICT_LESS, B)
Non-strict less than A <= B A <= B Op.evaluate(A, Op.LESS, B)
Non-strict greater than A => B A >= B Op.evaluate(A, Op.GREATER, B)
Strict greater than A > B A < B Op.evaluate(A, Op.STRICT_GREATER, B)

Internal data access

Not recommend unless you know what you are doing. ArmadilloJava uses Efficient Java Matrix Library internally.

Matlab Armadillo C++ ArmadilloJava Notes 
                       | A.memptr()                 | A.memptr()                      | 
                       | A.colptr()                 |                                 | *Not suppported*

Inline initilisation

Matlab Armadillo C++ ArmadilloJava Notes
A = zeros(size(A)) A.zeros() A.zeros()
A = zeros(n, 1) A.zeros(n) A.zeros(n)
A = zeros(n, m) A.zeros(n, m) A.zeros(n , m)
A = ones(size(A)) A.ones() A.ones()
A = ones(n, 1) A.ones(n ) A.ones(n)
A = ones(n, m) A.ones(n, m) A.ones(n, m)
A = eye(size(A)) A.eye() A.eye()
A = eye(n, m) A.eye(n, m) A.eye(n, m)
A = randu(size(A)) A.randu() A.randu(rng) Note: rng is a random number generator.
A = randu(n, 1) A.randu(n) A.randu(n, rng) Note: rng is a random number generator.
A = randu(n, m) A.randu(n, m) A.randu(n, m, rng) Note: rng is a random number generator.
A = randn(size(A)) A.randn() A.randn(rng) Note: rng is a random number generator.
A = randn(n, 1) A.randn(n) A.randn(n, rng) Note: rng is a random number generator.
A = randn(n, m) A.randn(n, m) A.randn(n, m, rng) Note: rng is a random number generator.
A(:) = v A.fill(v) A.fill(v)

Row/Column insert/remove

Matlab Armadillo C++ ArmadilloJava Notes
A = [A(:, 1:j-1) B A(end:j+1, :)] A.insert_cols(j, B) A.insert_cols(j, B) Note: B is a vector.
A = [A(:, 1:j-1) zeros(size(A, 1), n); A(end.j+1, :)] A.insert_cols(j, n [, z]) A.insert_cols(j, n [, z]) Default: z = true
A = [A(1:i-1, :); B; A(i+1:end, :)] A.insert_rows(i, B) A.insert_rows(i, B) Note: B is a vector.
A = [A(1:i-1, :); zeros(n, size(A, 2)); A(i+1:end, :)] A.insert_rows(i, n [, z]) A.insert_rows(i, n [, z]) Default: z = true
A = [A(:, 1:j-1) A(end.j+1, :)] A.shed_col(j) A.shed_col(j)
A = [A(:, 1:a-1) A(end.b+1, :)] A.shed_cols(a, b) A.shed_cols(a, b)
A = [A(1:i-1, :); A(i+1:end, :)] A.shed_row(i) A.shed_row(i)
A = [A(1:a-1, :); A(b+1:end, :)] A.shed_rows(a, b) A.shed_rows(a, b)

Swap functions

Matlab Armadillo C++ ArmadilloJava Notes
A(:) = B(:) A.swap(B) A.swap(B)
A(:, [b a]) = A(:, [a b]) A.swap_cols(a, b) A.swap_cols(a, b)
A([b a], :) = A([a b], :) A.swap_rows(a, b) A.swap_rows(a, b)

Is functions

Matlab Armadillo C++ ArmadilloJava Notes
isempty(A) A.is_empty() A.is_empty()
isfinite(A) A.is_finite() A.is_finite() 
                       | A.is_square()              | A.is_square()                   | **Matlab:** S = size(A); (length(S) < 3) && (S(1) == S(2))

isvector(A) | A.is_vec() | A.is_vec() | iscolumn(A) | A.is_colvec() | A.is_colvec() | isrow(A) | A.is_rowvec() | A.is_rowvec() |

Bound checks

Matlab Armadillo C++ ArmadilloJava Notes 
                       | A.in_range(n)                          | A.in_range(n)                              | **Matlab:** n > 0 && numel(A) <= n
                       | A.in_range(span(a, b))                 | A.in_range(Span(a, b))                     | **Matlab:** a > 0 && numel(A) <= b
                       | A.in_range(i, j)                       | A.in_range(i, j)                           | **Matlab:** i > 0 && j > 0 && size(A, 1) >= i && size(A, 2) >= j
                       | A.in_range(span::all, span(a, b))      | A.in_range(Span.all, Span(a, b))           | **Matlab:** a > 0 && size(A, 2) <= b
                       | A.in_range(span(a, b), span::all)      | A.in_range(Span(a, b), Span.all)           | **Matlab:** a > 0 && size(A, 1) <= b
                       | A.in_range(span(ai, bi), span(aj, bj)) | A.in_range(Span(ai, bi), Span(aj, bj))     | **Matlab:** ai > 0 && aj > 0 && size(A, 1) >= bi && size(A, 2) >= bj
                       | A.in_range(a, b, size(n_rows, n_cols)) | A.in_range(a, b, new Size(n_rows, n_cols)) | **Matlab:** a > 0 && b > 0 && size(A, 1) >= n_rows && size(A, 2) >= n_cols
                       | A.in_range(a, b, size(B))              | A.in_range(a, b, new Size(B))              | **Note:** B is a matrix. **Matlab:** a > 0 && b > 0 && size(A, 1) >= size(B, 1) && size(A, 2) >= size(B, 2)

Inline statistics

Matlab Armadillo C++ ArmadilloJava Notes
min(A) A.min() A.min()
[v, n] = min(A) A.min(n) A.min(n)
[v, n] = min(A) A.min(i, j) A.min(i, j) Matlab: [i, j] = ind2sub(size(A), n)
max(A) A.max() A.max()
[v, n] = max(A) A.max(n) A.max(n)
[v, n] = max(A) A.max(i, j) A.max(i, j) Matlab: [i, j] = ind2sub(size(A), n)

Reshape/resize

Matlab Armadillo C++ ArmadilloJava Notes 
                       | A.set_size(n [, m])        | A.set_size(n [, m])             |

A = reshape(A, n, m) | A.reshape(n, m [, d]) | A.reshape(n, m [, d]) | Default: d = 0 | A.resize(n [, m]) | A.resize(n [, m]) |

Text output functions

Matlab Armadillo C++ ArmadilloJava Notes
A A.print([h]) A.print([h]) Default: h = '' Note: Output may differ
A A.print(s [, h]) A.print(s [, h]) Default: h = '' Note: Output may differ
A A.raw_print([h]) A.raw_print([h]) Default: h = '' Note: Output may differ
A A.raw_print(s [, h]) A.raw_print(s [, h]) Default: h = '' Note: Output may differ

File input/output

ArmadilloJava: Only t = 'ascii' (and 'auto_detect') is supported.

Matlab Armadillo C++ ArmadilloJava Notes
save(n, 'A', '-ascii') A.save(n, raw_ascii) A.save(n) Note: n is a string 
                       | A.save(s, raw_ascii)       | A.save(s)                       | **Note:** s is a stream

A = load(n) | A.load(n [, raw_ascii]) | A.load(n) | Note: n is a string Default: t = 'auto_detect' | A.load(s [, raw_ascii]) | A.load(s) | Note: s is a stream Default: t = 'auto_detect' | A.quiet_save(n [, t]) | | Not suppported | A.quiet_save(s [, t]) | | Not suppported | A.quiet_load(n [, t]) | | Not suppported | A.quiet_load(s [, t]) | | Not suppported

Inline function operations

Matlab Armadillo C++ ArmadilloJava Notes 
                       | A.transform(f)             |                                 | *Not suppported* **Note:** f is a function. 
                       | A.transform(l)             |                                 | *Not suppported* **Note:** l is a lambda function. 
                       | A.imbue(f)                 |                                 | *Not suppported* **Note:** f is a function. 
                       | A.imbue(l)                 |                                 | *Not suppported* **Note:** l is a lambda function.

C++ STL container functions

Matlab Armadillo C++ ArmadilloJava Notes
A = [] A.clear() A.clear()
isempty(A) A.empty() A.empty()
numel(A) A.size() A.size()

Miscellaneous

Matlab Armadillo C++ ArmadilloJava Notes
inv(A) A.i([s]) A.i()
A' A.t() A.t()
A = [] A.reset() A.reset()
A = reshape(A, size(B)) A.copy_size(B) A.copy_size(B) 
                       | A.eval()                   |                                 | *Not suppported*

Non-member functions

Vector/matrix-valued element-wise functions of vectors/matrices

Trigonometric functions

Matlab Armadillo C++ ArmadilloJava Notes
sin(A) sin(A) Arma.sin(A)
asin(A) asin(A) Arma.asin(A)
asinh(A) asinh(A) Arma.asinh(A)
cos(A) cos(A) Arma.cos(A)
acos(A) acos(A) Arma.acos(A)
acosh(A) acosh(A) Arma.acosh(A)
tan(A) tan(A) Arma.tan(A)
atan(A) atan(A) Arma.atan(A)
atanh(A) atanh(A) Arma.atanh(A)

Miscellaneous

Matlab Armadillo C++ ArmadilloJava Notes
abs(A) abs(A) Arma.abs(A)
eps(A) eps(A) Arma.eps(A)
exp(A) exp(A) Arma.exp(A)
2 .^ A exp2(A) Arma.exp2(A)
10 .^ A exp10(A) Arma.exp10(A) 
                       | trunc_exp(A)               | Arma.trunc_exp(A)               | **Matlab:** B = exp(A); B(isinf(B)) = realmax

log(A) | log(A) | Arma.log(A) | log2(A) | log2(A) | Arma.log2(A) | log10(A) | log10(A) | Arma.log10(A) | | trunc_log(A) | Arma.trunc_log(A) | Matlab: B = A; B(isinf(B)) = realmax; B(find(not(B))) = realmin; log(B) A .^ p | pow(A, p) | Arma.pow(A, p) | sqrt(A) | sqrt(A) | Arma.sqrt(A) | A .^ 2 | square(A) | Arma.square(A) | floor(A) | floor(A) | Arma.floor(A) | ceil(A) | ceil(A) | Arma.ceil(A) | round(A) | round(A) | Arma.round(A) | sign(A) | sign(A) | Arma.sign(A) |

Scalar-valued functions of vectors/matrices

Matlab Armadillo C++ ArmadilloJava Notes
sum(A(:)) accu(A) Arma.accu(A)
dot(A, B) dot(A, B) Arma.dot(A, B) 
                       | norm_dot(A, B)             | Arma.norm_dot(A, B)             | **Matlab:** dot(A, B) / sqrt(dot(A, A) * dot(B, B))

det(A) | det(A) | Arma.det(A) | | log_det(v, s, A) | Arma.log_det(v, s, A) | Matlab: d = det(A); v = log(abs(d)); s = sign(d) (inefficient example) norm(A, p) | norm(A, p) | Arma.norm(A, p) | rank(A [, t]) | rank(A [, t]) | Arma.rank(A [, t]) | Default: t = max(size(A))*eps(max(A)) trace(A) | trace(A) | Arma.trace(A) | | as_scalar(A) | Arma.as_scalar(A) |

Scalar/vector-valued functions of vectors/matrices

Statistics

Matlab Armadillo C++ ArmadilloJava Notes
min(V [, d]) min(V) Arma.min(V) Note: V is a vector.
min(A [, d]) min(A [, d]) Arma.minMat(A [, d]) Default: d = 0
max(V [, d]) max(V) Arma.max(V) Note: V is a vector.
max(A [, d]) max(A [, d]) Arma.maxMat(A [, d]) Default: d = 0
mean(V [, d]) mean(V) Arma.mean(V) Note: V is a vector.
mean(A [, d]) mean(A [, d]) Arma.meanMat(A [, d]) *Default: d = 0
median(V [, d]) median(V) Arma.median(V) Note: V is a vector.
median(A [, d]) median(A [, d]) Arma.medianMat(A [, d]) Default: d = 0
std(V [, n] [, d]) stddev(V [, n]) Arma.stddev(V [, n]) Note: V is a vector. Default: n = 0
std(A [, n] [, d]) stddev(A [, n] [, d]) Arma.stddevMat(A [, n] [, d]) Default: n = 0, d = 0
var(V [, n] [, d]) var(V [, n]) Arma.var(V [, n]) Note: V is a vector. Default: n = 0
var(A [, n] [, d]) var(A [, n] [, d]) Arma.varMat(A [, n] [, d]) Default: n = 0, d = 0

Logic operations

Matlab Armadillo C++ ArmadilloJava Notes
any(V) any(V) Arma.any(V) Note: V is a vector.
any(A [, d]) any(A [, d]) Arma.anyMat(A [, d]) Default: d = 0
all(V) all(V) Arma.all(V) Note: V is a vector.
all(A [, d]) all(A [, d]) Arma.allMat(A [, d]) Default: d = 0

Miscellaneous

Matlab Armadillo C++ ArmadilloJava Notes
prod(V [, d]) prod(V) Arma.prod(V) Note: V is a vector.
prod(A [, d]) prod(A [, d]) Arma.prodMat(A [, d]) Default: d = 0
sum(V [, d]) sum(V) Arma.sum(V) Note: V is a vector.
sum(A [, d]) sum(A [, d]) Arma.sumMat(A [, d]) Default: d = 0

Matrix-valued functions of vectors/matrices

Matrix joins

Matlab Armadillo C++ ArmadilloJava Notes
[A; B] join_cols(A, B) Arma.join_cols(A, B)
[A; B] join_vert(A, B) Arma.join_vert(A, B)
[A B] join_rows(A, B) Arma.join_rows(A, B)
[A B] join_horiz(A, B) Arma.join_horiz(A, B)

Sort functions

Matlab Armadillo C++ ArmadilloJava Notes
sort(A [, d] [, t]) sort(A [, t] [, d]) Arma.sort(A [, t] [, d]) Default: t = 0 ('ascend' in Matlab), d = 0
[~, I] = sort(A [, t]) sort_index(A [, t]) Arma.sort_index(A [, t]) Note: A is a vector. Default: t = 0 ('ascend' in Matlab)
[~, I] = sort(A [, t]) stable_sort_index(A [, t]) Arma.stable_sort_index(A [, t]) Note: A is a vector. Default: t = 0 ('ascend' in Matlab)

Reshape/resize

Matlab Armadillo C++ ArmadilloJava Notes
reshape(A, n, m) reshape(A, n, m [, d]) Arma.reshape(A, n, m [, d]) Default: d = 0 
                       | resize(A, n, m)            | Arma.resize(A, n, m)            |

Statistics

Matlab Armadillo C++ ArmadilloJava Notes 
                       | cor(A [, B] [, t])         | Arma.cor(A [, B] [, t])         | **Default:** t = 0

cov(A [, B] [, t]) | cov(A [, B] [, t]) | Arma.cov(A [, B] [, t]) | Default: t = 0

Histogramm functions

Matlab Armadillo C++ ArmadilloJava Notes 
                       | hist(X [, n [, d]])        | Arma.hist(X [, n [, d]])        | **Default:** n = 10, d = 0
                       | hist(X, c [, d])           | Arma.hist(X, c [, d])           | **Default:** d = 0
                       | histc(X, e [, d])          | Arma.histc(X, e [, d])          | **Default:** d = 0

Swap functions

Matlab Armadillo C++ ArmadilloJava Notes
fliplr(A) fliplr(A) Arma.fliplr(A)
flipud(A) flipud(A) Arma.flipud(A)

Reinterpret functions

Matlab Armadillo C++ ArmadilloJava Notes
diag(A) diagmat(A) Arma.diagmat(A) Matlab: Use diag(diag(A)) if A is not a vector.
triu(A) trimatu(A) Arma.trimatu(A)
tril(A) trimatl(A) Arma.trimatl(A) 
                       | symmatu(A)                 | Arma.symmatu(A)                 | **Matlab:** B = triu(A); B + B' - diag(diag(A))
                       | symmatl(A)                 | Arma.symmatl(A)                 | **Matlab:** B = tril(A); B + B' - diag(diag(A))

Miscellaneous

Matlab Armadillo C++ ArmadilloJava Notes
A' trans(A) Arma.trans(A)
find(A [, k] [, s]) find(A [, k] [, s]) Arma.find(A [, k] [, s]) Default: k = 0, s = "first"
diag(A [, k]) diagvec(A [, k]) Arma.diagvec(A [, k]) Default: k = 0 Matlab: Use A(k) if A is a vector.
cumsum(A [, d]) cumsum(A [, d]) Arma.cumsum(A [, d])
conv(A, B) conv(A, B) Arma.conv(A, B) Note: A, B are vectors.
cross(A, B) cross(A, B) Arma.cross(A, B) Note: A, B are 3-dimensional vectors.
kron(A, B) kron(A, B) Arma.kron(A, B) 
                       | shuffle(A [, d])           | Arma.shuffle(A [, d], rng)      | **Note:** rng is a random number generator. **Default:** d = 0 **Matlab:** A(randperm(size(A, 1)), :) (for d = 0)

unique(A) | unique(A) | Arma.unique(A) | | vectorise(A [, d]) | Arma.vectorise(A [, d]) | Default d = 0 Matlab: Use A(:) for d = 0 and A(:)' otherwise.

Decompositions

Matlab Armadillo C++ ArmadilloJava Notes
chol(X) chol(X) Arma.chol(X)
R = chol(X) chol(R, X) Arma.chol(R, X)
eig(X) eig_sym(X) Arma.eig_sym(X)
V = eig(X) eig_sym(V, X) Arma.eig_sym(V, X)
[V, E] = eig(X) eig_sym(V, E, X [, m]) Arma.eig_sym(V, E, X) Matlab: E = diag(E)
inv(A) inv(A [, s]) Arma.inv(A)
B = inv(A) inv(B, A) Arma.inv(B, A)
[L, U] = lu(X) lu(L, U, X) Arma.lu(L, U, X)
[L, U, P] = lu(X) lu(L, U, P, X) Arma.lu(L, U, P, X)
pinv(A [, t]) pinv(A [, t]) Arma.pinv(A [, t]) Default: t = max(size(A))*norm(A)*eps
B = pinv(A [, t]) pinv(B, A [, t]) Arma.pinv(B, A [, t]) Default: t = max(size(A))*norm(A)*eps
princomp(X) princomp(X) Not suppported
C = princomp(X) princomp(C, X) Not suppported
[C, S] = princomp(X) princomp(C, S, X) Not suppported
[C, S, L] = princomp(X) princomp(C, S, L, X) Not suppported
[C, S, L, T] = princomp(X) princomp(C, S, L, T, X) Not suppported
[Q, R] = qr(X) qr(Q, R, X) Arma.qr(Q, R, X)
[Q, R] = qr(A, 0) qr_econ(Q, R, X) Not suppported
A \ B solve(A, B [, s]) Arma.solve(A, B)
X = A \ B solve(X, A, B [, s]) Arma.solve(X, A, B)
svd(X) svd(X) Arma.svd(X)
[~, S, ~] = svd(X) svd(S, X) Arma.svd(S, X)
[U, S, V] = svd(X) svd(U, X, V, X [, m]) Arma.svd(U, X, V, X) 
                       | svd_econ(U, X, V, X [, m]) |                                 | *Not suppported*
                       | syl(A, B, C)               |                                 | *Not suppported* **Matlab:** See [Matlab solution 1-35X8UD](http://www.mathworks.com/support/solutions/en/data/1-35X8UD/?product=ML&solution=1-35X8UD)
                       | syl(X, A, B, C)            |                                 | *Not suppported* **Matlab:** See [Matlab solution 1-35X8UD](http://www.mathworks.com/support/solutions/en/data/1-35X8UD/?product=ML&solution=1-35X8UD)

Miscellaneous

Matlab Armadillo C++ ArmadilloJava Notes
isfinite(A) is_finite(A) Arma.is_finite(A) Note: A may be a matrix or a scalar

Statistics

Armadillo C++: running_stat S

ArmadilloJava: RunningStat S

Matlab Armadillo C++ ArmadilloJava Notes 
                       | S(v)                       | S.update(v)                     | 
                       | S.count()                  | S.count()                       | 
                       | S.min()                    | S.min()                         | 
                       | S.max()                    | S.max()                         | 
                       | S.mean()                   | S.mean()                        | 
                       | S.var([n])                 | S.var([n])                      | **Default:** n = 0
                       | S.stddev([n])              | S.stddev([n])                   | **Default:** n = 0
                       | S.reset()                  | S.reset()                       |

Armadillo C++: running_stat_vec S([c]) Default: c = true

ArmadilloJava: RunningStatVec S([c]) Default: c = true

Matlab Armadillo C++ ArmadilloJava Notes 
                       | S(v)                       | S.update(v)                     | 
                       | S.count()                  | S.count()                       | 
                       | S.min()                    | S.min()                         | 
                       | S.max()                    | S.max()                         | 
                       | S.mean()                   | S.mean()                        | 
                       | S.var([n])                 | S.var([n])                      | **Default:** n = 0
                       | S.stddev([n])              | S.stddev([n])                   | **Default:** n = 0
                       | S.cov([n])                 | S.cov([n])                      | **Note:** c must be true **Default:** n = 0
                       | S.reset()                  | S.reset()                       |

Wall clock

Armadillo C++: wall_clock W

ArmadilloJava: WallClock W

Matlab Armadillo C++ ArmadilloJava Notes
tic W.tic() W.tic()
toc W.toc() W.toc()

Pre-defined constants

Matlab Armadillo C++ ArmadilloJava Notes
pi datum::pi Datum.pi
Inf datum::inf Datum.inf
NaN datum::nan Datum.nan
exp(1) datum::e Datum.e
sqrt(2) datum::sqrt2 Datum.sqrt2
eps datum::eps Datum.eps Note: Machine dependant
log(realmin) datum::log_min Datum.log_min Note: Machine dependant
log(realmax) datum::log_max Datum.log_max Note: Machine dependant
0.5772156649015329 datum::euler Datum.euler
1.6180339887498948 datum::gratio Datum.gratio
1.660538782e-27 datum::m_u Datum.m_u
6.02214179e23 datum::N_A Datum.N_A
1.3806504e-23 datum::k Datum.k
8.617343e-5 datum::k_evk Datum.k_evk
0.52917720859e-10 datum::a_0 Datum.a_0
927.400915e-26 datum::mu_B Datum.mu_B
3.76730313461771e-2 datum::Z_0 Datum.Z_0
7.7480917004e-5 datum::G_0 Datum.G_0
8.9875517873681764e9 datum::k_e Datum.k_e
8.85418781762039e-12 datum::eps_0 Datum.eps_0
9.10938215e-31 datum::m_e Datum.m_e
1.602176487e-19 datum::eV Datum.eV
1.602176487e-19 datum::ec Datum.ec
96485.3399 datum::F Datum.F
7.2973525376e-3 datum::alpha Datum.alpha
137.035999679 datum::alpha_inv Datum.alpha_inv
483597.891e9 datum::K_J Datum.K_J
1.25663706143592e-06 datum::mu_0 Datum.mu_0
2.067833667e-15 datum::phi_0 Datum.phi_0
8.314472 datum::R Datum.R
6.67428e-11 datum::G Datum.G
6.62606896e-34 datum::h Datum.h
1.054571628e-34 datum::h_bar Datum.h_bar
1.672621637e-27 datum::m_p Datum.m_p
10973731.568527 datum::R_inf Datum.R_inf
299792458.0 datum::c_0 Datum.c_0
5.670400e-8 datum::sigma Datum.sigma
25812.807557 datum::R_k Datum.R_k
2.8977685e-3 datum::b Datum.b