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https://github.com/Z3Prover/z3
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Fix typos.
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23 changed files with 67 additions and 67 deletions
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@ -233,7 +233,7 @@ namespace polynomial {
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/**
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\brief Install a "delete polynomial" event handler.
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The even hanlder is not owned by the polynomial manager.
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The event handler is not owned by the polynomial manager.
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If eh = 0, then it uninstall the event handler.
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*/
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void add_del_eh(del_eh * eh);
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@ -426,7 +426,7 @@ namespace polynomial {
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polynomial * flip_sign_if_lm_neg(polynomial const * p);
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/**
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\breif Return the gcd g of p and q.
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\brief Return the gcd g of p and q.
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*/
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void gcd(polynomial const * p, polynomial const * q, polynomial_ref & g);
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@ -853,7 +853,7 @@ namespace polynomial {
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void resultant(polynomial const * p, polynomial const * q, var x, polynomial_ref & r);
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/**
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\brief Stroe in r the discriminant of p with respect to variable x.
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\brief Store in r the discriminant of p with respect to variable x.
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discriminant(p, x, r) == resultant(p, derivative(p, x), x, r)
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*/
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void discriminant(polynomial const * p, var x, polynomial_ref & r);
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@ -959,7 +959,7 @@ namespace polynomial {
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}
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/**
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\brief Apply substiution [x -> p/q] in r.
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\brief Apply substitution [x -> p/q] in r.
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That is, given r \in Z[x, y_1, .., y_m] return
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polynomial q^k * r(p/q, y_1, .., y_m), where k is the maximal degree of x in r.
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*/
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@ -152,7 +152,7 @@ public:
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}
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/**
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\brief 'Disagonalizes' the matrix using only column operations. The reusling matrix will have -1 at pivot
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\brief 'Diagonalizes' the matrix using only column operations. The resulting matrix will have -1 at pivot
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elements. Returns the rank of the null space.
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*/
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unsigned diagonalize() {
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@ -170,7 +170,7 @@ public:
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m_column_pivot[j] = i;
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m_row_pivot[i] = j;
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// found a pivot, to make it -1 we compute the multuplier -p^-1
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// found a pivot, to make it -1 we compute the multiplier -p^-1
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m_zpm.set(multiplier, get(i, j));
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m_zpm.inv(multiplier);
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m_zpm.neg(multiplier);
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@ -201,7 +201,7 @@ public:
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}
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/**
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If rank of the matrix is n - r, we are interested in linearly indeprendent vectors v_1, ..., v_r (the basis of
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If rank of the matrix is n - r, we are interested in linearly independent vectors v_1, ..., v_r (the basis of
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the null space), such that v_k A = 0. This method will give one at a time. The method returns true if vector has
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been computed properly. The first vector [1, 0, ..., 0] is ignored (m_null_row starts from 1).
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*/
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@ -417,7 +417,7 @@ bool zp_factor_square_free_berlekamp(zp_manager & upm, numeral_vector const & f,
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// construct the berlekamp Q matrix to get the null space
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berlekamp_matrix Q_I(upm, f);
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// copy the inital polynomial to factors
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// copy the initial polynomial to factors
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unsigned first_factor = factors.distinct_factors();
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factors.push_back(f, 1);
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@ -473,7 +473,7 @@ bool zp_factor_square_free_berlekamp(zp_manager & upm, numeral_vector const & f,
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// get the gcd
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upm.gcd(v_k.size(), v_k.c_ptr(), current_factor.size(), current_factor.c_ptr(), gcd);
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// if the gcd is 1, or the the gcd is f, we just ignroe it
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// if the gcd is 1, or the gcd is f, we just ignore it
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if (gcd.size() != 1 && gcd.size() != current_factor.size()) {
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// get the divisor also (no need to normalize the div, both are monic)
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@ -568,13 +568,13 @@ bool check_hansel_lift(z_manager & upm, numeral_vector const & C,
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}
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/**
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Performs a Hensel lift of A and B in Z_a to Z_b, where p is prime and and a = p^{a_k}, b = p^{b_k},
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Performs a Hensel lift of A and B in Z_a to Z_b, where p is prime and a = p^{a_k}, b = p^{b_k},
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r = (a, b), with the following assumptions:
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(1) UA + VB = 1 (mod a)
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(1) UA + VB = 1 (mod a)
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(2) C = A*B (mod b)
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(3) (l(A), r) = 1 (importand in order to divide by A, i.e. to invert l(A))
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(4) deg(A) + deg(B) = deg(C)
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(3) (l(A), r) = 1 (important in order to divide by A, i.e. to invert l(A))
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(4) deg(A) + deg(B) = deg(C)
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The output of is two polynomials A1, B1 such that A1 = A (mod b), B1 = B (mod b),
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l(A1) = l(A), deg(A1) = deg(A), deg(B1) = deg(B) and C = A1 B1 (mod b*r). Such A1, B1 are unique if
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@ -625,7 +625,7 @@ void hensel_lift(z_manager & upm, numeral const & a, numeral const & b, numeral
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// having (1) AU + BV = 1 (mod r) and (5) AT + BS = f (mod r), we know that
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// A*(fU) + B*(fV) = f (mod r), i.e. T = fU, S = fV is a solution
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// but we also know that we need an S with deg(S) <= deg(A) so we can do the following
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// we know that l(A) is invertible so we can find the exact remainder of fV with A, i.e. find the qotient
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// we know that l(A) is invertible so we can find the exact remainder of fV with A, i.e. find the quotient
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// t in the division and set
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// A*(fU + tB) + B*(fV - tA) = f
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// T = fU + tB, S = fU - tA
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@ -1093,7 +1093,7 @@ bool factor_square_free(z_manager & upm, numeral_vector const & f, factors & fs,
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continue;
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}
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// if it's not square free, we also try somehting else
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// if it's not square free, we also try something else
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scoped_numeral_vector f_pp_zp(nm);
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to_zp_manager(zp_upm, f_pp, f_pp_zp);
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@ -1170,7 +1170,7 @@ bool factor_square_free(z_manager & upm, numeral_vector const & f, factors & fs,
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zp_numeral_manager & zpe_nm = zpe_upm.m();
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zp_factors zpe_fs(zpe_upm);
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// this might give something bigger than p^e, but the lifting proocedure will update the zpe_nm
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// this might give something bigger than p^e, but the lifting procedure will update the zpe_nm
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// zp factors are monic, so will be the zpe factors, i.e. f_pp = zpe_fs * lc(f_pp) (mod p^e)
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hensel_lift(upm, f_pp, zp_fs, e, zpe_fs);
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@ -1182,7 +1182,7 @@ bool factor_square_free(z_manager & upm, numeral_vector const & f, factors & fs,
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scoped_numeral f_pp_lc(nm);
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zpe_nm.set(f_pp_lc, f_pp.back());
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// we always keep in f_pp the the actual primitive part f_pp*lc(f_pp)
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// we always keep in f_pp the actual primitive part f_pp*lc(f_pp)
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upm.mul(f_pp, f_pp_lc);
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// now we go through the combinations of factors to check construct the factorization
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@ -1287,7 +1287,7 @@ bool factor_square_free(z_manager & upm, numeral_vector const & f, factors & fs,
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fs.push_back(f_pp, k);
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}
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else {
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// if a constant it must be 1 (it was primitve)
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// if a constant it must be 1 (it was primitive)
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SASSERT(f_pp.size() == 1 && nm.is_one(f_pp.back()));
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}
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@ -34,12 +34,12 @@ namespace upolynomial {
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typedef manager::scoped_numeral scoped_numeral;
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/**
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\breif Factor f into f = f_1^k_1 * ... * p_n^k_n, such that p_i are square-free and coprime.
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\brief Factor f into f = f_1^k_1 * ... * p_n^k_n, such that p_i are square-free and coprime.
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*/
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void zp_square_free_factor(zp_manager & zp_upm, numeral_vector const & f, zp_factors & sq_free_factors);
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/**
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\brief Factor the monic square-free polynomial f from Z_p[x]. Returns true if factorization was sucesseful, or false
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\brief Factor the monic square-free polynomial f from Z_p[x]. Returns true if factorization was successful, or false
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if f is an irreducible square-free polynomial in Z_p[x].
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*/
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bool zp_factor_square_free(zp_manager & zp_upm, numeral_vector const & f, zp_factors & factors);
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@ -55,17 +55,17 @@ namespace upolynomial {
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bool zp_factor_square_free_berlekamp(zp_manager & zp_upm, numeral_vector const & f, zp_factors & factors, bool randomized = true);
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/**
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\brief Factor the polynomial f from Z_p[x]. Returns true if factorization was sucesseful, or false if f is
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\brief Factor the polynomial f from Z_p[x]. Returns true if factorization was successful, or false if f is
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an irreducible polynomial in Z_p[x]
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*/
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bool zp_factor(zp_manager & zp_upm, numeral_vector const & f, zp_factors & factors);
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/**
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\brief Performs a Hensel lift of A and B in Z_a to Z_b, where p is prime and and a = p^{a_k}, b = p^{b_k},
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\brief Performs a Hensel lift of A and B in Z_a to Z_b, where p is prime and a = p^{a_k}, b = p^{b_k},
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r = (a, b), with the following assumptions:
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* UA + VB = 1 (mod a)
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* C = AB (mod b)
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* (l(A), r) = 1 (importand in order to divide by A, i.e. to invert l(A))
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* (l(A), r) = 1 (important in order to divide by A, i.e. to invert l(A))
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the output of is two polynomials A1, B1 (replacing A and B) such that A1 = A (mod b), B1 = B (mod b),
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l(A1) = l(A), deg(A1) = deg(A), deg(B1) = deg(B) and C = A1 B1 (mod b*r). Such A1, B1 are unique if
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r is prime. See [3] p. 138.
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@ -82,7 +82,7 @@ namespace upolynomial {
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void hensel_lift(z_manager & upm, numeral_vector const & f, zp_factors const & factors_p, unsigned e, zp_factors & factors_pe);
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/**
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\brief Factor the square-free polynomial f from Z[x]. Returns true if factorization was sucesseful, or false if
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\brief Factor the square-free polynomial f from Z[x]. Returns true if factorization was successful, or false if
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f is an irreducible polynomial in Z[x]. The vector of factors is cleared.
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*/
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bool factor_square_free(z_manager & upm, numeral_vector const & f, factors & fs, factor_params const & ps = factor_params());
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