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Julia provides a complete collection of basic arithmetic and bitwise operators across all of its numeric primitive types, as well as providing portable, efficient implementations of a comprehensive collection of standard mathematical functions.
The following arithmetic operators are supported on all primitive numeric types:
Expression | Name | Description |
---|---|---|
+x | unary plus | the identity operation |
-x | unary minus | maps values to their additive inverses |
x + y | binary plus | performs addition |
x - y | binary minus | performs subtraction |
x * y | times | performs multiplication |
x / y | divide | performs division |
x ÷ y | integer divide | x / y, truncated to an integer |
x y | inverse divide | equivalent to y / x |
x ^ y | power | raises x to the y th power |
x % y | remainder | equivalent to rem(x,y) |
as well as the negation on
Bool
types:Expression | Name | Description |
---|---|---|
!x | negation | changes true to false and vice versa |
A numeric literal placed directly before an identifier or parentheses, e.g.
2x
or 2(x+y)
, is treated as a multiplication, except with higher precedence than other binary operations. See Numeric Literal Coefficients for details.Julia's promotion system makes arithmetic operations on mixtures of argument types 'just work' naturally and automatically. See Conversion and Promotion for details of the promotion system.
Here are some simple examples using arithmetic operators:
(By convention, we tend to space operators more tightly if they get applied before other nearby operators. For instance, we would generally write
-x + 2
to reflect that first x
gets negated, and then 2
is added to that result.)When used in multiplication,
false
acts as a strong zero:This is useful for preventing the propagation of
NaN
values in quantities that are known to be zero. See Knuth (1992) for motivation.The following bitwise operators are supported on all primitive integer types:
Expression | Name |
---|---|
~x | bitwise not |
x & y | bitwise and |
x | y | bitwise or |
x ⊻ y | bitwise xor (exclusive or) |
x >>> y | logical shift right |
x >> y | arithmetic shift right |
x << y | logical/arithmetic shift left |
Here are some examples with bitwise operators:
Every binary arithmetic and bitwise operator also has an updating version that assigns the result of the operation back into its left operand. The updating version of the binary operator is formed by placing a
=
immediately after the operator. For example, writing x += 3
is equivalent to writing x = x + 3
:The updating versions of all the binary arithmetic and bitwise operators are:
An updating operator rebinds the variable on the left-hand side. As a result, the type of the variable may change.
For every binary operation like
^
, there is a corresponding 'dot' operation .^
that is automatically defined to perform ^
element-by-element on arrays. For example, [1,2,3] ^ 3
is not defined, since there is no standard mathematical meaning to 'cubing' a (non-square) array, but [1,2,3] .^ 3
is defined as computing the elementwise (or 'vectorized') result [1^3, 2^3, 3^3]
. Similarly for unary operators like !
or √
, there is a corresponding .√
that applies the operator elementwise.More specifically,
a .^ b
is parsed as the 'dot' call(^).(a,b)
, which performs a broadcast operation: it can combine arrays and scalars, arrays of the same size (performing the operation elementwise), and even arrays of different shapes (e.g. combining row and column vectors to produce a matrix). Moreover, like all vectorized 'dot calls,' these 'dot operators' are fusing. For example, if you compute 2 .* A.^2 .+ sin.(A)
(or equivalently @. 2A^2 + sin(A)
, using the @.
macro) for an array A
, it performs a single loop over A
, computing 2a^2 + sin(a)
for each element of A
. In particular, nested dot calls like f.(g.(x))
are fused, and 'adjacent' binary operators like x .+ 3 .* x.^2
are equivalent to nested dot calls (+).(x, (*).(3, (^).(x, 2)))
.Furthermore, 'dotted' updating operators like
a .+= b
(or @. a += b
) are parsed as a .= a .+ b
, where .=
is a fused in-place assignment operation (see the dot syntax documentation).Note the dot syntax is also applicable to user-defined operators. For example, if you define
⊗(A,B) = kron(A,B)
to give a convenient infix syntax A ⊗ B
for Kronecker products (kron
), then [A,B] .⊗ [C,D]
will compute [A⊗C, B⊗D]
with no additional coding.Combining dot operators with numeric literals can be ambiguous. For example, it is not clear whether
1.+x
means 1. + x
or 1 .+ x
. Therefore this syntax is disallowed, and spaces must be used around the operator in such cases.Standard comparison operations are defined for all the primitive numeric types:
Operator | Name |
---|---|
equality | |
!= , ≠ | inequality |
< | less than |
<= , ≤ | less than or equal to |
'>> | greater than |
='>>= , ='>≥ | greater than or equal to |
Here are some simple examples:
Integers are compared in the standard manner – by comparison of bits. Floating-point numbers are compared according to the IEEE 754 standard:
- Finite numbers are ordered in the usual manner.
- Positive zero is equal but not greater than negative zero.
Inf
is equal to itself and greater than everything else exceptNaN
.-Inf
is equal to itself and less than everything else exceptNaN
.NaN
is not equal to, not less than, and not greater than anything, including itself.
The last point is potentially surprising and thus worth noting:
and can cause headaches when working with arrays:
Julia provides additional functions to test numbers for special values, which can be useful in situations like hash key comparisons:
Function | Tests if |
---|---|
isequal(x, y) | x and y are identical |
isfinite(x) | x is a finite number |
isinf(x) | x is infinite |
isnan(x) | x is not a number |
isequal
considers NaN
s equal to each other:isequal
can also be used to distinguish signed zeros: Wattsappweb.Mixed-type comparisons between signed integers, unsigned integers, and floats can be tricky. A great deal of care has been taken to ensure that Julia does them correctly.
For other types,
isequal
defaults to calling , so if you want to define equality for your own types then you only need to add a method. If you define your own equality function, you should probably define a corresponding hash
method to ensure that isequal(x,y)
implies hash(x) hash(y)
.Unlike most languages, with the notable exception of Python, comparisons can be arbitrarily chained:
Chaining comparisons is often quite convenient in numerical code. Chained comparisons use the
&&
operator for scalar comparisons, and the &
operator for elementwise comparisons, which allows them to work on arrays. For example, 0 .< A .< 1
gives a boolean array whose entries are true where the corresponding elements of A
are between 0 and 1.Note the evaluation behavior of chained comparisons:
The middle expression is only evaluated once, rather than twice as it would be if the expression were written as
v(1) < v(2) && v(2) <= v(3)
. However, the order of evaluations in a chained comparison is undefined. It is strongly recommended not to use expressions with side effects (such as printing) in chained comparisons. If side effects are required, the short-circuit &&
operator should be used explicitly (see Short-Circuit Evaluation).911 Operator Soundtrack
Julia provides a comprehensive collection of mathematical functions and operators. These mathematical operations are defined over as broad a class of numerical values as permit sensible definitions, including integers, floating-point numbers, rationals, and complex numbers, wherever such definitions make sense.
Moreover, these functions (like any Julia function) can be applied in 'vectorized' fashion to arrays and other collections with the dot syntax
f.(A)
, e.g. sin.(A)
will compute the sine of each element of an array A
.Julia applies the following order and associativity of operations, from highest precedence to lowest:
Category | Operators | Associativity |
---|---|---|
Syntax | . followed by :: | Left |
Exponentiation | ^ | Right |
Unary | + - √ | Right[1] |
Bitshifts | << >> >>> | Left |
Fractions | // | Left |
Multiplication | * / % & ÷ | Left[2] |
Addition | + - | ⊻ | Left[2] |
Syntax | : . | Left |
Syntax | |> | Left |
Syntax | <| | Right |
Comparisons | > < >= <= != ! <: | Non-associative |
Control flow | && followed by || followed by ? | Right |
Pair | => | Right |
Assignments | = += -= *= /= //= = ^= ÷= %= |= &= ⊻= <<= >>= >>>= | Right |
For a complete list of every Julia operator's precedence, see the top of this file:
src/julia-parser.scm
Numeric literal coefficients, e.g.
2x
, are treated as multiplications with higher precedence than any other binary operation, and also have higher precedence than ^
.You can also find the numerical precedence for any given operator via the built-in function
Base.operator_precedence
, where higher numbers take precedence:A symbol representing the operator associativity can also be found by calling the built-in function
Base.operator_associativity
:Note that symbols such as
:sin
return precedence 0
. This value represents invalid operators and not operators of lowest precedence. Similarly, such operators are assigned associativity :none
.Julia supports three forms of numerical conversion, which differ in their handling of inexact conversions.
- The notation
T(x)
orconvert(T,x)
convertsx
to a value of typeT
.- If
T
is a floating-point type, the result is the nearest representable value, which could be positive or negative infinity. - If
T
is an integer type, anInexactError
is raised ifx
is not representable byT
.
- If
x % T
converts an integerx
to a value of integer typeT
congruent tox
modulo2^n
, wheren
is the number of bits inT
. In other words, the binary representation is truncated to fit.- The Rounding functions take a type
T
as an optional argument. For example,round(Int,x)
is a shorthand forInt(round(x))
.
The following examples show the different forms.
See Conversion and Promotion for how to define your own conversions and promotions.
Operator Songs
Function | Description | Return type |
---|---|---|
round(x) | round x to the nearest integer | typeof(x) |
round(T, x) | round x to the nearest integer | T |
floor(x) | round x towards -Inf | typeof(x) |
floor(T, x) | round x towards -Inf | T |
ceil(x) | round x towards +Inf | typeof(x) |
ceil(T, x) | round x towards +Inf | T |
trunc(x) | round x towards zero | typeof(x) |
trunc(T, x) | round x towards zero | T |
Function | Description |
---|---|
div(x,y) , x÷y | truncated division; quotient rounded towards zero |
fld(x,y) | floored division; quotient rounded towards -Inf |
cld(x,y) | ceiling division; quotient rounded towards +Inf |
rem(x,y) | remainder; satisfies x div(x,y)*y + rem(x,y) ; sign matches x |
mod(x,y) | modulus; satisfies x fld(x,y)*y + mod(x,y) ; sign matches y |
mod1(x,y) | mod with offset 1; returns r∈(0,y] for y>0 or r∈[y,0) for y<0 , where mod(r, y) mod(x, y) |
mod2pi(x) | modulus with respect to 2pi; 0 <= mod2pi(x) < 2pi |
divrem(x,y) | returns (div(x,y),rem(x,y)) |
fldmod(x,y) | returns (fld(x,y),mod(x,y)) |
gcd(x,y..) | greatest positive common divisor of x , y ,.. |
lcm(x,y..) | least positive common multiple of x , y ,.. |
Warframe Operator Soundtrack
Function | Description |
---|---|
abs(x) | a positive value with the magnitude of x |
abs2(x) | the squared magnitude of x |
sign(x) | indicates the sign of x , returning -1, 0, or +1 |
signbit(x) | indicates whether the sign bit is on (true) or off (false) |
copysign(x,y) | a value with the magnitude of x and the sign of y |
flipsign(x,y) | a value with the magnitude of x and the sign of x*y |
Function | Description |
---|---|
sqrt(x) , √x | square root of x |
cbrt(x) , ∛x | cube root of x |
hypot(x,y) | hypotenuse of right-angled triangle with other sides of length x and y |
exp(x) | natural exponential function at x |
expm1(x) | accurate exp(x)-1 for x near zero |
ldexp(x,n) | x*2^n computed efficiently for integer values of n |
log(x) | natural logarithm of x |
log(b,x) | base b logarithm of x |
log2(x) | base 2 logarithm of x |
log10(x) | base 10 logarithm of x |
log1p(x) | accurate log(1+x) for x near zero |
exponent(x) | binary exponent of x |
significand(x) | binary significand (a.k.a. mantissa) of a floating-point number x |
For an overview of why functions like
hypot
, expm1
, and log1p
are necessary and useful, see John D. Cook's excellent pair of blog posts on the subject: expm1, log1p, erfc, and hypot.All the standard trigonometric and hyperbolic functions are also defined:
These are all single-argument functions, with
atan
also accepting two arguments corresponding to a traditional atan2
function.Additionally,
sinpi(x)
and cospi(x)
are provided for more accurate computations of sin(pi*x)
and cos(pi*x)
respectively.In order to compute trigonometric functions with degrees instead of radians, suffix the function with
d
. For example, sind(x)
computes the sine of x
where x
is specified in degrees. The complete list of trigonometric functions with degree variants is:Many other special mathematical functions are provided by the package SpecialFunctions.jl.
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- 1The unary operators
+
and-
require explicit parentheses around their argument to disambiguate them from the operator++
, etc. Other compositions of unary operators are parsed with right-associativity, e. g.,√√-a
as√(√(-a))
. - 2The operators
+
,++
and*
are non-associative.a + b + c
is parsed as+(a, b, c)
not+(+(a, b), c)
. However, the fallback methods for+(a, b, c, d..)
and*(a, b, c, d..)
both default to left-associative evaluation.