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### 8.3 Arithmetic Operators

The following arithmetic operators are available, and work on scalars and matrices.

x`+` y
  Addition. If both operands are matrices, the number of rows and columns must both agree. If one operand is a scalar, its value is added to all the elements of the other operand.
x`.+` y
  Element by element addition. This operator is equivalent to `+`.
x`-` y
  Subtraction. If both operands are matrices, the number of rows and columns of both must agree.
x`.-` y
  Element by element subtraction. This operator is equivalent to `-`.
x`*` y
  Matrix multiplication. The number of columns of x must agree with the number of rows of y.
x`.*` y
  Element by element multiplication. If both operands are matrices, the number of rows and columns must both agree.
x`/` y
  Right division. This is conceptually equivalent to the expression

                (inverse (y') * x')'

  but it is computed without forming the inverse of y'.

  If the system is not square, or if the coefficient matrix is singular, a minimum norm solution is computed.

x`./` y
  Element by element right division.
x`\` y
  Left division. This is conceptually equivalent to the expression

                inverse (x) * y

  but it is computed without forming the inverse of x.

  If the system is not square, or if the coefficient matrix is singular, a minimum norm solution is computed.

x`.\` y
  Element by element left division. Each element of y is divided by each corresponding element of x.
x`^` y
x`**` y
  Power operator. If x and y are both scalars, this operator returns x raised to the power y. If x is a scalar and y is a square matrix, the result is computed using an eigenvalue expansion. If x is a square matrix, the result is computed by repeated multiplication if y is an integer, and by an eigenvalue expansion if y is not an integer. An error results if both x and y are matrices.

  The implementation of this operator needs to be improved.

x`.^` y
x`.**` y
  Element by element power operator. If both operands are matrices, the number of rows and columns must both agree.
`-`x
  Negation.
`+`x
  Unary plus. This operator has no effect on the operand.
x`'`
  Complex conjugate transpose. For real arguments, this operator is the same as the transpose operator. For complex arguments, this operator is equivalent to the expression

                conj (x.')

x`.'`
  Transpose.

Note that because Octave's element by element operators begin with a ‘`.`’, there is a possible ambiguity for statements like

         1./m

because the period could be interpreted either as part of the constant or as part of the operator. To resolve this conflict, Octave treats the expression as if you had typed

         (1) ./ m

and not

         (1.) / m

Although this is inconsistent with the normal behavior of Octave's lexer, which usually prefers to break the input into tokens by preferring the longest possible match at any given point, it is more useful in this case.

— Built-in Function: ctranspose (x)

> Return the complex conjugate transpose of x. This function is equivalent to `x'`.

> See also: transpose.

— Built-in Function: ldivide (x, y)

> Return the element-by-element left division of x and y. This function is equivalent to `x .\ y`.

> See also: rdivide, mldivide.

— Built-in Function: minus (x, y)

> This function is equivalent to `x - y`.

> See also: plus.

— Built-in Function: mldivide (x, y)

> Return the matrix left division of x and y. This function is equivalent to `x \ y`.

> See also: mrdivide, ldivide.

— Built-in Function: mpower (x, y)

> Return the matrix power operation of x raised to the y power. This function is equivalent to `x ^ y`.

> See also: power.

— Built-in Function: mrdivide (x, y)

> Return the matrix right division of x and y. This function is equivalent to `x / y`.

> See also: mldivide, rdivide.

— Built-in Function: mtimes (x, y)
— Built-in Function: mtimes (x1, x2, ...)

> Return the matrix multiplication product of inputs. This function is equivalent to `x * y`. If more arguments are given, the multiplication is applied cumulatively from left to right:

>                 (...((x1 * x2) * x3) * ...)

> At least one argument is required.

> See also: times.

— Built-in Function: plus (x, y)
— Built-in Function: plus (x1, x2, ...)

> This function is equivalent to `x + y`. If more arguments are given, the summation is applied cumulatively from left to right:

>                 (...((x1 + x2) + x3) + ...)

> At least one argument is required.

> See also: minus.

— Built-in Function: power (x, y)

> Return the element-by-element operation of x raised to the y power. This function is equivalent to `x .^ y`.

> See also: mpower.

— Built-in Function: rdivide (x, y)

> Return the element-by-element right division of x and y. This function is equivalent to `x ./ y`.

> See also: ldivide, mrdivide.

— Built-in Function: times (x, y)
— Built-in Function: times (x1, x2, ...)

> Return the element-by-element multiplication product of inputs. This function is equivalent to `x .* y`. If more arguments are given, the multiplication is applied cumulatively from left to right:

>                 (...((x1 .* x2) .* x3) .* ...)

> At least one argument is required.

> See also: mtimes.

— Built-in Function: transpose (x)

> Return the transpose of x. This function is equivalent to `x.'`.

> See also: ctranspose.

— Built-in Function: uminus (x)

> This function is equivalent to `- x`.

— Built-in Function: uplus (x)

> This function is equivalent to `+ x`.