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port grobner basis functionality, prepare create nex objects to the grobner basis calculation

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Signed-off-by: Lev Nachmanson <levnach@hotmail.com>
This commit is contained in:
Lev Nachmanson 2019-09-19 15:51:01 -07:00
parent e8b6b870ac
commit a085edceff
12 changed files with 424 additions and 274 deletions
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14
src/math/lp/horner.cpp
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@ -96,7 +96,7 @@ bool horner::lemmas_on_row(const T& row) {
);
SASSERT (row_is_interesting(row));
create_sum_from_row(row, cn);
create_sum_from_row(row, cn.get_nex_creator(), m_row_sum);
return lemmas_on_expr(cn);
}
@ -131,7 +131,7 @@ void horner::horner_lemmas() {
}
}
nex * horner::nexvar(lpvar j, cross_nested& cn) const {
nex * horner::nexvar(lpvar j, nex_creator& cn) const {
// todo: consider deepen the recursion
if (!c().is_monic_var(j))
return cn.mk_var(j);
@ -144,7 +144,7 @@ nex * horner::nexvar(lpvar j, cross_nested& cn) const {
return e;
}
nex * horner::nexvar(const rational & coeff, lpvar j, cross_nested& cn) const {
nex * horner::nexvar(const rational & coeff, lpvar j, nex_creator& cn) const {
// todo: consider deepen the recursion
if (!c().is_monic_var(j))
return cn.mk_mul(cn.mk_scalar(coeff), cn.mk_var(j));
@ -158,15 +158,15 @@ nex * horner::nexvar(const rational & coeff, lpvar j, cross_nested& cn) const {
}
template <typename T> void horner::create_sum_from_row(const T& row, cross_nested& cn) {
template <typename T> void horner::create_sum_from_row(const T& row, nex_creator& cn, nex_sum& sum) {
TRACE("nla_horner", tout << "row="; m_core->print_term(row, tout) << "\n";);
SASSERT(row.size() > 1);
m_row_sum.children().clear();
sum.children().clear();
for (const auto &p : row) {
if (p.coeff().is_one())
m_row_sum.add_child(nexvar(p.var(), cn));
sum.add_child(nexvar(p.var(), cn));
else {
m_row_sum.add_child(nexvar(p.coeff(), p.var(), cn));
sum.add_child(nexvar(p.coeff(), p.var(), cn));
}
}
}