Miscalleneous
Integer related
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euler_phi_inv — Function.
euler_phi_inv(n::Integer) -> Vector{fmpz}
The inverse of the Euler totient functions: find all s.th. holds.
euler_phi_inv(n::fmpz) -> Vector{fmpz}
The inverse of the Euler totient functions: find all s.th. holds.
euler_phi_inv(n::fmpz, zk::NfAbsOrd{AnticNumberField, nf_elem}) -> Vector{NfOrdIdl}
The inverse of the ideal totient function: all ideals s.th. the unit group of the residue ring has the required size.
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modord — Method.
modord(a::fmpz, m::fmpz) -> Int
modord(a::Integer, m::Integer)
The multiplicative order of a modulo (not a good algorithm).
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is_prime_power — Method.
is_prime_power(n::fmpz) -> Bool
is_prime_power(n::Integer) -> Bool
Tests if is the exact power of a prime number.
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primes_up_to — Method.
primes_up_to(n::Int) -> Vector{Int}
Returns a vector containing all the prime numbers up to .
Analytic
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dickman_rho — Function.
dickman_rho(x::Number, prec::Int=55) Number
Evaluates the Dickman- function at .
dickman_rho(x::Number, e::UnitRange{Int}, prec::Int=55) Number[]
Evaluates the Dickman- function at for all .
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psi_guess — Function.
psi_guess(x::Number, B::Int) Number
Uses the dickman_rho function to estimate the number of -smooth integers bounded by .
psi_guess(x::Number, e::UnitRange, B::Int) Number
Uses the dickman_rho function to estimate the number of -smooth integers bounded by for .
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psi_lower — Function.
psi_lower(N::Integer, B::Int, a::Int = 776) -> Vector{Int}, fmpz_abs_series
psi_lower(N::fmpz, B::Int, a::Int = 776) -> Vector{Int}, fmpz_abs_series
Uses Bernstein's ideas: https://cr.yp.to/papers/psi.pdf to compute lower bounds on the psi function counting smooth numbers. An array is returned s.th. for . The second return value is Bernstein's power series.
The optional other parameter controls the precision of the result, it defaults to 776.
psi_lower(N::Integer, B::NfFactorBase) -> Vector{Int}, fmpz_abs_series
psi_lower(N::fmpz, B::NfFactorBase) -> Vector{Int}, fmpz_abs_series
psi_upper(N::Integer, B::NfFactorBase) -> Vector{Int}, fmpz_abs_series
psi_upper(N::fmpz, B::NfFactorBase) -> Vector{Int}, fmpz_abs_series
Uses Bernstein's techniques to bound the number of ideals of norm bounded by that are smooth over the factor base .
Linear Algebra
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largest_elementary_divisor — Function.
largest_elementary_divisor(A::fmpz_mat) -> fmpz
The largest elementary divisor of , that is, the last diagonal entry of the Smith normal form of .
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maximal_elementary_divisor — Method.
maximal_elementary_divisor(A::fmpz_mat) -> fmpz
The largest elementary divisor of , that is, the last diagonal entry of the Smith normal form of .
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mod_sym — Method.
mod_sym(M::fmpz_mat, p::fmpz) -> fmpz_mat
Reduces every entry modulo into the symmetric residue system.
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mod_sym! — Method.
mod_sym!(M::fmpz_mat, p::fmpz)
Reduces every entry modulo in-place, into the symmetric residue system.
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mod! — Method.
mod!(M::fmpz_mat, p::fmpz)
Reduces every entry modulo in-place, i.e. applies the mod function to every entry. Positive residue system.
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saturate — Method.
saturate(A::fmpz_mat) -> fmpz_mat
Computes the saturation of , that is, a basis for , where is the row span of and the number of rows of .
Equivalently, return for an invertible rational matrix such that is integral and the elementary divisors of are all trivial.
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elementary_divisors — Method.
elementary_divisors(A::fmpz_mat) -> Vector{fmpz}
The elementary divisors of , that is, the diagonal entries of the Smith normal form of .
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jordan_normal_form — Function.
jordan_normal_form(M::MatElem{T}) where T <: FieldElem -> MatElem{T}, MatElem{T}
Returns matrices and such that and is in Jordan normal form.
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divisors — Method.
divisors(A::fmpz_mat, d::fmpz) -> fmpz
Returns the diagonal entries of a diagonal form of . We assume that all the elementary divisors are divisors of .
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snf_with_transform — Method.
snf_with_transform(A::fmpz_mat, l::Bool = true, r::Bool = true) -> fmpz_mat, fmpz_mat, fmpz_mat
Given some integer matrix , compute the Smith normal form (elementary divisor normal form) of . If l and/ or r are true, then the corresponding left and/ or right transformation matrices are computed as well.
Polynomials
CRT
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induce_crt — Function.
induce_crt(a::fmpz_poly, p::fmpz, b::fmpz_poly, q::fmpz, signed::Bool = false) -> fmpz_poly
Given integral polynomials and as well as coprime integer moduli and , find and . If signed is set, the symmetric representative is used, the positive one otherwise.
induce_crt(L::Vector{PolyElem}, c::crt_env{fmpz}) -> fmpz_poly
Given fmpz_poly polynomials and a crt\_env, apply the crt function to each coefficient resulting in a polynomial .
induce_crt(L::Vector{MatElem}, c::crt_env{fmpz}) -> fmpz_mat
Given matrices and a crt\_env, apply the crt function to each coefficient resulting in a matrix .
induce_crt(a::Generic.Poly{nf_elem}, p::fmpz, b::Generic.Poly{nf_elem}, q::fmpz) -> Generic.Poly{nf_elem}, fmpz
Given polynomials defined modulo and modulo , apply the CRT to all coefficients recursively. Implicitly assumes that and have integral coefficients (i.e. no denominators).
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induce_rational_reconstruction — Function.
induce_rational_reconstruction(a::fmpz_poly, M::fmpz) -> fmpq_poly
Apply rational_reconstruction to each coefficient of , resulting in either a fail (return (false, s.th.)) or (true, g) for some rational polynomial s.th. .
induce_rational_reconstruction(a::Generic.Poly{nf_elem}, M::fmpz) -> bool, Generic.Poly{nf_elem}
Apply rational reconstruction to the coefficients of . Implicitly assumes the coefficients to be integral (no checks done) returns true iff this is successful for all coefficients.