Returns an approximation for the numerical integral of the given expression over the given range.
The integrate
function returns an approximation for the numerical integral of f
with the variable
var
from a
to b
.
This is mathematically written as:
This integral is the same as the area between the function f
and the x-axis from a
to b
where the area under the axis is counted negative.
f
may be any function with the variable indicated as the second argument var
.
a
and b
may be any numeric expressions that evaluate to
real numbers or they can be -INF
or INF
to indicate negative or positive infinity.
integrate
does not calculate the integral exactly.
Instead the calculation is done using the Gauss-Kronrod 21-point integration rule adaptively to an estimated relative error less than 10-3.
f(x)=integrate(t^2-7t+1, t, -3, 15) will integrate f(t)=t^2-7t+1 from -3 to 15 and evaluate to 396. More useful is f(x)=integrate(s*sin(s), s, 0, x). This will plot the integral of f(s)=s*sin(s) from 0 to x, which is the same as the definite integral of f(x)=x*sin(x).
Returns the summation of an expression evaluated over a range of integers.
The sum
function returns the summation of f
where var
is evaluated for all integers from a
to b
.
This is mathematically written as:
f
may be any function with the variable indicated as the second argument var
.
a
and b
may be any numeric expressions that evaluate to integers.
Returns the product of an expression evaluated over a range of integers.
The product
function returns the product of f
where var
is evaluated for all integers from a
to b
.
This is mathematically written as:
f
may be any function with the variable indicated as the second argument var
.
a
and b
may be any numeric expressions that evaluate to integers.
Returns the factorial of the argument.
The fact
function returns the factorial of n
, commonly written as n!.
n
may be any numeric expression that evaluates to a positive heltal.
The function is defined as fact(n)=n(n-1)(n-2)...1,
and relates to the gamma
function as fact(n)=gamma(n+1).
Returns the value of the Euler gamma function of the argument.
The gamma
function returns the result of the Euler gamma function of z
, commonly written as Γ(z).
z
may be any numeric expression that evaluates to a real number or a complex number.
The gamma function relates to the factorial function as fact(n)=gamma(n+1).
The mathematical definition of the gamma function is:
This cannot be calculated precisely, so Graph is using the Lanczos approximation to calculate the gamma
function.
Returns the value of the Euler beta function evaluated for the arguments.
The beta
function returns the result of the Euler beta function evaluated for m
and n
.
m
and n
may be any numeric expressions
that evaluate to real numbers or complex numbers.
The beta
function relates to the gamma
function as
beta(m, n) = gamma(m) * gamma(n) / gamma(m+n).
Returns the value of the Lambert W-function evaluated for the argument.
The W
function returns the result of the Lambert W-function, also known as the omega function, evaluated for z
.
z
may be any numeric expression that evaluates to a real number or a complex number.
The inverse of the W
function is given by f(W)=W*eW.
For real values of z
when z
< -1/e, the W
function will evaluate to values with an imaginary part.
Returns the value of the Riemann Zeta function evaluated for the argument.
The zeta
function returns the result of the Riemann Zeta function, commonly written as ζ(s).
z
may be any numeric expression that evaluates to a real number or a complex number.
Returns the remainder of the first argument divided by the second argument.
Calculates m
modulo n
, the remainder of m/n.
mod
calculates the remainder f, where m = a*n + f for some integer a.
The sign of f is always the same as the sign of n
.
When n
=0, mod
returns 0.
m
and n
may be any numeric expressions that evaluate to real numbers.
Returns the normal distribution of the first argument with optional mean value and standard deviation.
The dnorm
function is the probability density of the normal distribution, also called Gaussian distribution.
x
is the variate, also known as the random variable, μ
is the mean value and σ is the standard deviation.
μ
and σ are optional
and if left out the standard normal distribution is used where μ
=0 and σ=1.
x
, μ
and σ may be any numeric expressions
that evaluate to real numbers where σ > 0.
The normal distribution is defined as: