function_diff(sin) gives (_x)→cos(_x)
gammad
Gamma probability density function. Computes the probability density of the gamma distribution at x, given
parameters a and t.
gammad(a, t, x)
Example:
gammad(2.2,1.5,0.8) returns 0.510330619114
gammad_cdf
Cumulative gamma distribution function. Returns the lower-tail probability of the gamma probability density
function for the value x, given parameters a and t. With the optional fourth argument x
2
, returns the area
between the two x-values.
gammad_cdf(a,t,x,[x
2
])
Examples:
gammad_cdf(2,1,2.96) returns 0.794797087996
gammad_cdf(2,1,2.96,4) returns 0.11362471756
gamma_icdf
Inverse cumulative gamma distribution function. Returns the value x such that the gamma lower-tail
probability of x, given parameters a and t, is p.
gammad_icdf(a,t,p)
Example:
gammad_icdf(2,1,0.95) returns 4.74386451839
gauss
Given an expression followed by a vector of variables, uses the Gauss algorithm to return the quadratic form
of the expression written as a sum or dierence of squares of the variables given in the vector.
gauss(Expr,VectVar)
Example:
gauss(x^2+2*a*x*y,[x,y]) gives (a*y+x)^2+(- y^2)*a^2
GF
Creates a Galois Field of characteristic p with p^n elements.
GF(Integerp, Integern)
Example:
GF(5,9) gives GF(5,k^9-k^8+2*k^7+2*k^5-k^2+2*k- 2,[k,K,g],undef)
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