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#include "convex/minplus_convolution.hpp"template <typename T>
vc<T> minplus_convolution_convex_convex(vc<T>& A, vc<T>& B) {
int n = len(A), m = len(B);
if (n == 0 || m == 0) return {};
vc<T> C(n + m - 1, infty<T>);
while (n > 0 && A[n - 1] == infty<T>) --n;
while (m > 0 && B[m - 1] == infty<T>) --m;
if (n == 0 || m == 0) return C;
int a = 0, b = 0;
while (a < n && A[a] == infty<T>) ++a;
while (b < m && B[b] == infty<T>) ++b;
C[a + b] = A[a] + B[b];
for (int i = a + b + 1; i < n + m - 1; ++i) {
if (b == m - 1 || (a != n - 1 && A[a + 1] + B[b] < A[a] + B[b + 1])) {
chmin(C[i], A[++a] + B[b]);
} else {
chmin(C[i], A[a] + B[++b]);
}
}
return C;
}
template <typename T>
vc<T> minplus_convolution_arbitrary_convex(vc<T>& A, vc<T>& B) {
int n = len(A), m0 = len(B);
if (n == 0 || m0 == 0) return {};
const T INF = infty<T>;
const T BIG = INF + INF + 1;
vc<T> C(n + m0 - 1, INF);
int m = m0;
while (m > 0 && B[m - 1] == INF) --m;
if (m == 0) return C;
int b = 0;
while (b < m && B[b] == INF) ++b;
int z = n + m - b - 1;
vc<int> idx(z + 1);
// 実際に最小値探索する部分だけ BIG にする。
fill(C.begin() + b, C.begin() + n + m - 1, BIG);
idx[0] = 0;
idx[z] = n - 1;
int d = 1;
while (d < z) d <<= 1;
for (int q = d >> 1; q > 0; q >>= 1) {
for (int h = q; h < z; h += q << 1) {
int l = h - q;
int r = min(h + q, z);
idx[h] = idx[l];
for (int j = idx[l]; j <= idx[r]; ++j) {
int k = b + h - j;
if (j <= h && k < m && C[b + h] >= A[j] + B[k]) {
C[b + h] = A[j] + B[k];
idx[h] = j;
}
}
}
}
FOR(h, z) {
int j = idx[h];
int k = b + h - j;
C[b + h] = (A[j] == INF || B[k] == INF ? INF : A[j] + B[k]);
}
return C;
}
template <typename T, bool convA, bool convB>
vc<T> minplus_convolution(vc<T>& A, vc<T>& B) {
static_assert(convA || convB);
if constexpr (convA && convB) return minplus_convolution_convex_convex(A, B);
if constexpr (convA && !convB)
return minplus_convolution_arbitrary_convex(B, A);
if constexpr (convB && !convA)
return minplus_convolution_arbitrary_convex(A, B);
return {};
}#line 1 "convex/minplus_convolution.hpp"
template <typename T>
vc<T> minplus_convolution_convex_convex(vc<T>& A, vc<T>& B) {
int n = len(A), m = len(B);
if (n == 0 || m == 0) return {};
vc<T> C(n + m - 1, infty<T>);
while (n > 0 && A[n - 1] == infty<T>) --n;
while (m > 0 && B[m - 1] == infty<T>) --m;
if (n == 0 || m == 0) return C;
int a = 0, b = 0;
while (a < n && A[a] == infty<T>) ++a;
while (b < m && B[b] == infty<T>) ++b;
C[a + b] = A[a] + B[b];
for (int i = a + b + 1; i < n + m - 1; ++i) {
if (b == m - 1 || (a != n - 1 && A[a + 1] + B[b] < A[a] + B[b + 1])) {
chmin(C[i], A[++a] + B[b]);
} else {
chmin(C[i], A[a] + B[++b]);
}
}
return C;
}
template <typename T>
vc<T> minplus_convolution_arbitrary_convex(vc<T>& A, vc<T>& B) {
int n = len(A), m0 = len(B);
if (n == 0 || m0 == 0) return {};
const T INF = infty<T>;
const T BIG = INF + INF + 1;
vc<T> C(n + m0 - 1, INF);
int m = m0;
while (m > 0 && B[m - 1] == INF) --m;
if (m == 0) return C;
int b = 0;
while (b < m && B[b] == INF) ++b;
int z = n + m - b - 1;
vc<int> idx(z + 1);
// 実際に最小値探索する部分だけ BIG にする。
fill(C.begin() + b, C.begin() + n + m - 1, BIG);
idx[0] = 0;
idx[z] = n - 1;
int d = 1;
while (d < z) d <<= 1;
for (int q = d >> 1; q > 0; q >>= 1) {
for (int h = q; h < z; h += q << 1) {
int l = h - q;
int r = min(h + q, z);
idx[h] = idx[l];
for (int j = idx[l]; j <= idx[r]; ++j) {
int k = b + h - j;
if (j <= h && k < m && C[b + h] >= A[j] + B[k]) {
C[b + h] = A[j] + B[k];
idx[h] = j;
}
}
}
}
FOR(h, z) {
int j = idx[h];
int k = b + h - j;
C[b + h] = (A[j] == INF || B[k] == INF ? INF : A[j] + B[k]);
}
return C;
}
template <typename T, bool convA, bool convB>
vc<T> minplus_convolution(vc<T>& A, vc<T>& B) {
static_assert(convA || convB);
if constexpr (convA && convB) return minplus_convolution_convex_convex(A, B);
if constexpr (convA && !convB)
return minplus_convolution_arbitrary_convex(B, A);
if constexpr (convB && !convA)
return minplus_convolution_arbitrary_convex(A, B);
return {};
}