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:heavy_check_mark: verify/convex/monge/max_plus_convolution_concave_concave.test.cpp

Depends on

Code

#define PROBLEM "https://judge.yosupo.jp/problem/min_plus_convolution_convex_convex"

#include "../../../utilities/fast_io.hpp"
#include <vector>

#include "../../../convex/monge/min_plus_convolution.hpp"

int main() {
    m1une::utilities::FastInput fast_input;
    m1une::utilities::FastOutput fast_output;

    int n, m;
    fast_input >> n >> m;
    std::vector<long long> first(n), second(m);
    for (long long& value : first) {
        fast_input >> value;
        value = -value;
    }
    for (long long& value : second) {
        fast_input >> value;
        value = -value;
    }

    constexpr long long negative_infinity = -2'000'000'000'000'000'000LL;
    std::vector<long long> result =
        m1une::convex::max_plus_convolution_concave_concave(
            first, second, negative_infinity);
    for (int i = 0; i < int(result.size()); i++) {
        if (i) fast_output << ' ';
        fast_output << -result[i];
    }
    fast_output << '\n';
}
#line 1 "verify/convex/monge/max_plus_convolution_concave_concave.test.cpp"
#define PROBLEM "https://judge.yosupo.jp/problem/min_plus_convolution_convex_convex"

#line 1 "utilities/fast_io.hpp"



#include <algorithm>
#include <array>
#include <cerrno>
#include <charconv>
#include <cstddef>
#include <cstdio>
#include <cstdlib>
#include <cstdint>
#include <cstring>
#include <iterator>
#include <string>
#include <sys/stat.h>
#include <type_traits>
#include <utility>
#include <unistd.h>
#include <vector>

namespace m1une {
namespace utilities {

struct FastOutput;

namespace internal {

// Shared with the convenience helpers in template.hpp.
inline FastOutput* standard_output_instance = nullptr;

// Detect std::begin(x), std::end(x).
template <class T, class = void>
struct is_range : std::false_type {};

template <class T>
struct is_range<T, std::void_t<
    decltype(std::begin(std::declval<T&>())),
    decltype(std::end(std::declval<T&>()))
>> : std::true_type {};

template <class T>
inline constexpr bool is_range_v = is_range<T>::value;

template <class T>
using range_reference_t = decltype(*std::begin(std::declval<T&>()));

template <class T>
using range_value_t = std::remove_cv_t<std::remove_reference_t<range_reference_t<T>>>;

template <class T, class = void>
struct range_stored_value {
    using type = range_value_t<T>;
};

template <class T>
struct range_stored_value<T, std::void_t<typename std::remove_cv_t<std::remove_reference_t<T>>::value_type>> {
    using type = typename std::remove_cv_t<std::remove_reference_t<T>>::value_type;
};

template <class T>
using range_stored_value_t = typename range_stored_value<T>::type;

// Treat strings and C strings as scalar output objects, not as ranges.
template <class T>
struct is_char_array : std::false_type {};

template <class T, std::size_t N>
struct is_char_array<T[N]>
    : std::bool_constant<std::is_same_v<std::remove_cv_t<T>, char>> {};

template <class T>
struct is_string_like
    : std::bool_constant<
          std::is_same_v<std::decay_t<T>, std::string>
          || std::is_same_v<std::decay_t<T>, const char*>
          || std::is_same_v<std::decay_t<T>, char*>
          || is_char_array<std::remove_reference_t<T>>::value
      > {};

template <class T>
inline constexpr bool is_string_like_v = is_string_like<T>::value;

// ModInt-like type: x.val() is printable, and x can be assigned from long long.
template <class T, class = void>
struct has_val_method : std::false_type {};

template <class T>
struct has_val_method<T, std::void_t<decltype(std::declval<const T&>().val())>>
    : std::true_type {};

template <class T>
inline constexpr bool has_val_method_v = has_val_method<T>::value;

template <class T, class = void>
struct has_static_mod_raw : std::false_type {};

template <class T>
struct has_static_mod_raw<
    T, std::void_t<decltype(T::mod()), decltype(T::raw(std::declval<uint32_t>()))>>
    : std::true_type {};

template <class T>
inline constexpr bool has_static_mod_raw_v = has_static_mod_raw<T>::value;

// libstdc++ before GCC 16 does not classify __int128 as an integral type in
// strict ISO modes such as -std=c++23. Keep the fast-I/O interface independent
// of that implementation detail.
template <class T>
inline constexpr bool is_integral_v =
    std::is_integral_v<T>
    || std::is_same_v<std::remove_cv_t<T>, __int128_t>
    || std::is_same_v<std::remove_cv_t<T>, __uint128_t>;

template <class T>
inline constexpr bool is_signed_v =
    std::is_signed_v<T>
    || std::is_same_v<std::remove_cv_t<T>, __int128_t>;

template <class T>
struct make_unsigned {
    using type = std::make_unsigned_t<T>;
};

template <>
struct make_unsigned<__int128_t> {
    using type = __uint128_t;
};

template <>
struct make_unsigned<__uint128_t> {
    using type = __uint128_t;
};

template <class T>
using make_unsigned_t = typename make_unsigned<std::remove_cv_t<T>>::type;

}  // namespace internal

struct FastInput {
    static constexpr int buffer_size = 1 << 20;

   private:
    std::FILE* _stream;
    char _buffer[buffer_size];
    int _position;
    int _length;
    int _file_descriptor;
    bool _streaming;

    bool refill() {
        _position = 0;
        if (_streaming) {
            ssize_t length;
            do {
                length = ::read(_file_descriptor, _buffer, buffer_size);
            } while (length < 0 && errno == EINTR);
            if (length <= 0) {
                _length = 0;
                return false;
            }
            _length = int(length);
        } else {
            _length = int(std::fread(_buffer, 1, buffer_size, _stream));
        }
        return _length != 0;
    }

    template <class T>
    bool read_integer_from_stream(T& value) {
        if (!skip_spaces()) return false;
        int c = read_char_raw();

        bool negative = false;
        if (c == '-') {
            negative = true;
            c = read_char_raw();
        }

        if constexpr (internal::is_signed_v<T>) {
            T result = 0;
            while ('0' <= c && c <= '9') {
                result = negative ? result * 10 - (c - '0')
                                  : result * 10 + (c - '0');
                c = read_char_raw();
            }
            value = result;
        } else {
            T result = 0;
            while ('0' <= c && c <= '9') {
                result = result * 10 + T(c - '0');
                c = read_char_raw();
            }
            value = negative ? T(0) - result : result;
        }
        return true;
    }

    bool prepare_number() {
        if (_length - _position >= 64) return true;
        const int remaining = _length - _position;
        if (remaining > 0) std::memmove(_buffer, _buffer + _position, remaining);
        const int added = int(std::fread(_buffer + remaining, 1, buffer_size - remaining, _stream));
        _position = 0;
        _length = remaining + added;
        if (_length < buffer_size) _buffer[_length] = '\0';
        return _length != 0;
    }

   public:
    explicit FastInput(std::FILE* stream = stdin)
        : _stream(stream),
          _position(0),
          _length(0),
          _file_descriptor(::fileno(stream)),
          _streaming([&] {
              struct stat status;
              return _file_descriptor >= 0
                     && ::fstat(_file_descriptor, &status) == 0
                     && !S_ISREG(status.st_mode);
          }()) {}

    FastInput(const FastInput&) = delete;
    FastInput& operator=(const FastInput&) = delete;

    int read_char_raw() {
        if (_position == _length && !refill()) return EOF;
        return _buffer[_position++];
    }

    bool skip_spaces() {
        int c = read_char_raw();
        while (c != EOF && c <= ' ') c = read_char_raw();
        if (c == EOF) return false;
        --_position;
        return true;
    }

    bool read(char& value) {
        if (!skip_spaces()) return false;
        value = char(read_char_raw());
        return true;
    }

    bool read(std::string& value) {
        if (!skip_spaces()) return false;
        value.clear();
        while (true) {
            const int begin = _position;
            while (_position < _length &&
                   static_cast<unsigned char>(_buffer[_position]) > ' ') {
                ++_position;
            }
            value.append(_buffer + begin, _position - begin);
            if (_position < _length) {
                ++_position;
                return true;
            }
            if (!refill()) return true;
        }
    }

    bool read(bool& value) {
        int x;
        if (!read(x)) return false;
        value = x != 0;
        return true;
    }

    template <class T>
    std::enable_if_t<
        internal::is_integral_v<T>
            && !std::is_same_v<std::remove_cv_t<T>, bool>
            && !std::is_same_v<std::remove_cv_t<T>, char>,
        bool
    >
    read(T& value) {
        if (_streaming) return read_integer_from_stream(value);
        if (!prepare_number()) return false;
        int c = static_cast<unsigned char>(_buffer[_position++]);
        while (c <= ' ') c = static_cast<unsigned char>(_buffer[_position++]);

        bool negative = false;
        if (c == '-') {
            negative = true;
            c = static_cast<unsigned char>(_buffer[_position++]);
        }

        if constexpr (internal::is_signed_v<T>) {
            T result = 0;
            while ('0' <= c && c <= '9') {
                const int first = c - '0';
                const int second = static_cast<unsigned char>(_buffer[_position]) - '0';
                if (0 <= second && second <= 9) {
                    result = negative ? result * 100 - (first * 10 + second)
                                      : result * 100 + (first * 10 + second);
                    ++_position;
                } else {
                    result = negative ? result * 10 - first : result * 10 + first;
                }
                c = static_cast<unsigned char>(_buffer[_position++]);
            }
            value = result;
        } else {
            T result = 0;
            while ('0' <= c && c <= '9') {
                const unsigned first = unsigned(c - '0');
                const int second = static_cast<unsigned char>(_buffer[_position]) - '0';
                if (0 <= second && second <= 9) {
                    result = result * 100 + T(first * 10 + unsigned(second));
                    ++_position;
                } else {
                    result = result * 10 + T(first);
                }
                c = static_cast<unsigned char>(_buffer[_position++]);
            }
            value = negative ? T(0) - result : result;
        }
        if (_position > _length) _position = _length;
        return true;
    }

    template <class T>
    std::enable_if_t<std::is_floating_point_v<T>, bool>
    read(T& value) {
        if (!skip_spaces()) return false;
        int c = read_char_raw();
        bool negative = false;
        if (c == '-' || c == '+') {
            negative = c == '-';
            c = read_char_raw();
        }

        long double result = 0;
        while ('0' <= c && c <= '9') {
            result = result * 10 + (c - '0');
            c = read_char_raw();
        }
        if (c == '.') {
            long double place = 0.1L;
            c = read_char_raw();
            while ('0' <= c && c <= '9') {
                result += (c - '0') * place;
                place *= 0.1L;
                c = read_char_raw();
            }
        }
        if (c == 'e' || c == 'E') {
            c = read_char_raw();
            bool exponent_negative = false;
            if (c == '-' || c == '+') {
                exponent_negative = c == '-';
                c = read_char_raw();
            }
            int exponent = 0;
            while ('0' <= c && c <= '9') {
                exponent = exponent * 10 + (c - '0');
                c = read_char_raw();
            }
            long double scale = 1;
            long double power = 10;
            while (exponent > 0) {
                if (exponent & 1) scale *= power;
                power *= power;
                exponent >>= 1;
            }
            result = exponent_negative ? result / scale : result * scale;
        }
        value = static_cast<T>(negative ? -result : result);
        return true;
    }

    template <class T>
    std::enable_if_t<
        internal::has_val_method_v<T>
            && !internal::is_integral_v<T>
            && !internal::is_range_v<T>,
        bool
    >
    read(T& value) {
        long long x;
        if (!read(x)) return false;
        if constexpr (internal::has_static_mod_raw_v<T>) {
            if (x >= 0 && uint64_t(x) < uint64_t(T::mod())) {
                value = T::raw(uint32_t(x));
            } else {
                value = T(x);
            }
        } else {
            value = T(x);
        }
        return true;
    }

    template <class First, class Second>
    bool read(std::pair<First, Second>& value) {
        if (!read(value.first)) return false;
        return read(value.second);
    }

    template <class Range>
    std::enable_if_t<
        internal::is_range_v<Range>
            && !internal::is_string_like_v<Range>,
        bool
    >
    read(Range& range) {
        using StoredValue = internal::range_stored_value_t<Range>;
        constexpr bool nested = internal::is_range_v<StoredValue>
                                && !internal::is_string_like_v<StoredValue>;

        for (auto&& value : range) {
            if constexpr (std::is_same_v<StoredValue, bool> && !nested) {
                bool x;
                if (!read(x)) return false;
                value = x;
            } else {
                if (!read(value)) return false;
            }
        }
        return true;
    }

    template <class First, class Second, class... Rest>
    bool read(First& first, Second& second, Rest&... rest) {
        if (!read(first)) return false;
        return read(second, rest...);
    }

    template <class T>
    FastInput& operator>>(T& value) {
        if (!read(value)) std::abort();
        return *this;
    }
};

struct FastOutput {
    static constexpr int buffer_size = 1 << 20;

   private:
    inline static const auto digit_quads = [] {
        std::array<char, 40000> result{};
        for (int i = 0; i < 10000; i++) {
            int value = i;
            for (int j = 3; j >= 0; j--) {
                result[4 * i + j] = char('0' + value % 10);
                value /= 10;
            }
        }
        return result;
    }();

    std::FILE* _stream;
    char _buffer[buffer_size];
    int _position;
    int _precision;
    std::chars_format _float_format;
    char _range_separator;
    std::string* _capture = nullptr;

    template <class T>
    std::string format_cell(const T& value) {
        std::string result;
        struct CaptureGuard {
            std::string*& target;
            std::string* previous;
            ~CaptureGuard() { target = previous; }
        } guard{_capture, _capture};
        _capture = &result;
        write(value);
        return result;
    }

    template <class Matrix>
    void write_aligned_matrix(const Matrix& matrix) {
        std::vector<std::vector<std::string>> rows;
        std::vector<std::size_t> widths;
        for (const auto& row : matrix) {
            auto& cells = rows.emplace_back();
            std::size_t column = 0;
            for (const auto& value : row) {
                cells.push_back(format_cell(value));
                if (column == widths.size()) widths.push_back(0);
                widths[column] = std::max(widths[column], cells.back().size());
                ++column;
            }
        }
        bool first = true;
        for (const auto& row : rows) {
            if (!first) write_char('\n');
            first = false;
            for (std::size_t column = 0; column < row.size(); ++column) {
                if (column != 0) write_char(_range_separator);
                for (std::size_t padding = row[column].size();
                     padding < widths[column]; ++padding) {
                    write_char(' ');
                }
                write(row[column]);
            }
        }
    }

   public:
    explicit FastOutput(std::FILE* stream = stdout)
        : _stream(stream),
          _position(0),
          _precision(6),
          _float_format(std::chars_format::general),
          _range_separator(' ') {
        if (_stream == stdout
            && internal::standard_output_instance == nullptr) {
            internal::standard_output_instance = this;
        }
    }

    FastOutput(const FastOutput&) = delete;
    FastOutput& operator=(const FastOutput&) = delete;

    ~FastOutput() {
        flush();
        if (internal::standard_output_instance == this) {
            internal::standard_output_instance = nullptr;
        }
    }

    void flush() {
        if (_position != 0) {
            std::fwrite(_buffer, 1, _position, _stream);
            _position = 0;
        }
        std::fflush(_stream);
    }

    void write_char(char c) {
        if (_capture != nullptr) {
            _capture->push_back(c);
            return;
        }
        if (_position == buffer_size) flush();
        _buffer[_position++] = c;
    }

    void write(const char* s) {
        while (*s != '\0') write_char(*s++);
    }

    void write(const std::string& s) {
        if (_capture != nullptr) {
            _capture->append(s);
            return;
        }
        std::size_t position = 0;
        while (position < s.size()) {
            if (_position == buffer_size) flush();
            const std::size_t copied =
                std::min<std::size_t>(buffer_size - _position, s.size() - position);
            std::memcpy(_buffer + _position, s.data() + position, copied);
            _position += int(copied);
            position += copied;
        }
    }

    void write(char c) {
        write_char(c);
    }

    void write(bool value) {
        write_char(value ? '1' : '0');
    }

    template <class T>
    std::enable_if_t<std::is_floating_point_v<T>>
    write(T value) {
        char digits[128];
        auto [end, error] = std::to_chars(
            digits,
            digits + sizeof(digits),
            value,
            _float_format,
            _precision
        );
        if (error != std::errc()) std::abort();
        for (const char* pointer = digits; pointer != end; pointer++) {
            write_char(*pointer);
        }
    }

    template <class T>
    std::enable_if_t<
        internal::is_integral_v<T>
            && !std::is_same_v<std::remove_cv_t<T>, bool>
            && !std::is_same_v<std::remove_cv_t<T>, char>
    >
    write(T value) {
        using Raw = std::remove_cv_t<T>;
        using Unsigned = internal::make_unsigned_t<Raw>;

        Unsigned magnitude;
        if constexpr (internal::is_signed_v<Raw>) {
            if (value < 0) {
                write_char('-');
                magnitude = Unsigned(0) - Unsigned(value);
            } else {
                magnitude = Unsigned(value);
            }
        } else {
            magnitude = value;
        }

        if (magnitude == 0) {
            write_char('0');
            return;
        }

        unsigned chunks[16];
        int count = 0;
        while (magnitude >= 10000) {
            const Unsigned quotient = magnitude / 10000;
            chunks[count++] = unsigned(magnitude - quotient * 10000);
            magnitude = quotient;
        }
        if (_capture == nullptr && _position > buffer_size - 64) flush();
        char captured[64];
        char* const begin = _capture != nullptr ? captured : _buffer + _position;
        char* destination = begin;
        const unsigned leading = unsigned(magnitude);
        const char* first = digit_quads.data() + 4 * leading;
        int skip = leading < 10 ? 3 : leading < 100 ? 2 : leading < 1000 ? 1 : 0;
        for (; skip < 4; skip++) *destination++ = first[skip];
        while (count--) {
            const char* digits = digit_quads.data() + 4 * chunks[count];
            std::memcpy(destination, digits, 4);
            destination += 4;
        }
        if (_capture != nullptr) {
            _capture->append(begin, destination - begin);
        } else {
            _position += int(destination - begin);
        }
    }

    template <class T>
    std::enable_if_t<
        internal::has_val_method_v<T>
            && !internal::is_integral_v<T>
            && !internal::is_range_v<T>
    >
    write(const T& value) {
        write(value.val());
    }

    template <class First, class Second>
    void write(const std::pair<First, Second>& value) {
        write(value.first);
        write_char(' ');
        write(value.second);
    }

    template <class Range>
    std::enable_if_t<
        internal::is_range_v<Range>
            && !internal::is_string_like_v<Range>
    >
    write(const Range& range) {
        using StoredValue = internal::range_stored_value_t<const Range>;
        constexpr bool nested = internal::is_range_v<StoredValue>
                                && !internal::is_string_like_v<StoredValue>;

        bool first = true;
        for (const auto& value : range) {
            if (!first) write_char(nested ? '\n' : _range_separator);
            first = false;
            if constexpr (std::is_same_v<StoredValue, bool> && !nested) {
                write(static_cast<bool>(value));
            } else {
                write(value);
            }
        }
    }

    template <class First, class... Rest>
    void print(const First& first, const Rest&... rest) {
        write(first);
        ((write_char(' '), write(rest)), ...);
    }

    void println() {
        write_char('\n');
    }

    void set_precision(int precision) {
        _precision = precision;
    }

    void set_fixed(int precision = 6) {
        _float_format = std::chars_format::fixed;
        _precision = precision;
    }

    void set_general(int precision = 6) {
        _float_format = std::chars_format::general;
        _precision = precision;
    }

    void set_range_separator(char separator) {
        _range_separator = separator;
    }

    template <class Matrix>
    void write_aligned(const Matrix& matrix) {
        using Row = internal::range_stored_value_t<const Matrix>;
        using Cell = internal::range_stored_value_t<const Row>;
        static_assert(internal::is_range_v<Row> && !internal::is_string_like_v<Row>,
                      "write_aligned requires a two-dimensional range");
        static_assert(!internal::is_range_v<Cell> || internal::is_string_like_v<Cell>,
                      "write_aligned requires scalar cells");
        write_aligned_matrix(matrix);
    }

    template <class Matrix>
    void println_aligned(const Matrix& matrix) {
        write_aligned(matrix);
        write_char('\n');
    }

    template <class... Args>
    void println(const Args&... args) {
        print(args...);
        write_char('\n');
    }

    template <class T>
    FastOutput& operator<<(const T& value) {
        write(value);
        return *this;
    }
};

}  // namespace utilities
}  // namespace m1une


#line 5 "verify/convex/monge/max_plus_convolution_concave_concave.test.cpp"

#line 1 "convex/monge/min_plus_convolution.hpp"



#include <functional>
#line 7 "convex/monge/min_plus_convolution.hpp"

#line 1 "convex/monge/smawk.hpp"



#include <cassert>
#line 6 "convex/monge/smawk.hpp"
#include <numeric>
#line 8 "convex/monge/smawk.hpp"

namespace m1une {
namespace convex {

namespace smawk_detail {

template <class Select>
void solve(const std::vector<int>& rows, const std::vector<int>& columns,
           const Select& select, std::vector<int>& answer) {
    if (rows.empty()) return;

    std::vector<int> reduced;
    reduced.reserve(columns.size());
    for (int column : columns) {
        while (!reduced.empty()) {
            int row = rows[int(reduced.size()) - 1];
            if (!select(row, reduced.back(), column)) break;
            reduced.pop_back();
        }
        if (reduced.size() < rows.size()) reduced.push_back(column);
    }

    std::vector<int> odd_rows;
    odd_rows.reserve(rows.size() / 2);
    for (int i = 1; i < int(rows.size()); i += 2) odd_rows.push_back(rows[i]);
    solve(odd_rows, reduced, select, answer);

    int left = 0;
    int right = 0;
    for (int i = 0; i < int(rows.size()); i += 2) {
        if (i + 1 < int(rows.size())) {
            while (reduced[right] != answer[rows[i + 1]]) right++;
        } else {
            right = int(reduced.size()) - 1;
        }

        int best = left;
        for (int j = left + 1; j <= right; j++) {
            if (select(rows[i], reduced[best], reduced[j])) {
                best = j;
            }
        }
        answer[rows[i]] = reduced[best];
        left = right;
    }
}

template <class Select>
std::vector<int> row_optima(int row_count, int column_count, const Select& select) {
    std::vector<int> answer(row_count, -1);
    if (row_count == 0 || column_count == 0) return answer;

    std::vector<int> rows(row_count), columns(column_count);
    std::iota(rows.begin(), rows.end(), 0);
    std::iota(columns.begin(), columns.end(), 0);
    solve(rows, columns, select, answer);
    return answer;
}

}  // namespace smawk_detail

template <class Value, class Compare = std::less<>>
std::vector<int> smawk_row_optima(int row_count, int column_count, Value value,
                                  Compare compare = Compare()) {
    assert(row_count >= 0);
    assert(column_count >= 0);
    return smawk_detail::row_optima(
        row_count, column_count,
        [&](int row, int current, int candidate) {
            return compare(value(row, candidate), value(row, current));
        });
}

template <class Value>
std::vector<int> smawk_row_argmin(int row_count, int column_count, Value value) {
    return smawk_row_optima(row_count, column_count, value, std::less<>());
}

template <class Value>
std::vector<int> smawk_row_argmax(int row_count, int column_count, Value value) {
    return smawk_row_optima(row_count, column_count, value, std::greater<>());
}

template <class T>
std::vector<int> smawk_row_argmin(const std::vector<std::vector<T>>& matrix) {
    int row_count = int(matrix.size());
    int column_count = row_count == 0 ? 0 : int(matrix[0].size());
    for (const auto& row : matrix) assert(int(row.size()) == column_count);
    return smawk_row_argmin(
        row_count, column_count,
        [&](int row, int column) -> const T& { return matrix[row][column]; });
}

template <class T>
std::vector<int> smawk_row_argmax(const std::vector<std::vector<T>>& matrix) {
    int row_count = int(matrix.size());
    int column_count = row_count == 0 ? 0 : int(matrix[0].size());
    for (const auto& row : matrix) assert(int(row.size()) == column_count);
    return smawk_row_argmax(
        row_count, column_count,
        [&](int row, int column) -> const T& { return matrix[row][column]; });
}

}  // namespace convex
}  // namespace m1une


#line 9 "convex/monge/min_plus_convolution.hpp"

namespace m1une {
namespace convex {

namespace convolution_detail {

template <class T, class Compare, class Add>
std::vector<T> structured_convolution(const std::vector<T>& arbitrary,
                                      const std::vector<T>& structured,
                                      Compare compare, Add add) {
    if (arbitrary.empty() || structured.empty()) return {};

    int first_size = int(arbitrary.size());
    int second_size = int(structured.size());
    int result_size = first_size + second_size - 1;
    auto select = [&](int index, int current, int candidate) {
        if (index < candidate) return false;
        if (index - current >= second_size) return true;
        T current_value = add(arbitrary[current], structured[index - current]);
        T candidate_value = add(arbitrary[candidate], structured[index - candidate]);
        return !compare(current_value, candidate_value);
    };

    std::vector<int> optima =
        smawk_detail::row_optima(result_size, first_size, select);
    std::vector<T> result;
    result.reserve(result_size);
    for (int index = 0; index < result_size; index++) {
        int first_index = optima[index];
        result.emplace_back(add(arbitrary[first_index],
                                structured[index - first_index]));
    }
    return result;
}

template <class T>
std::pair<int, int> finite_interval(const std::vector<T>& sequence,
                                    const T& infinity) {
    int left = 0;
    while (left < int(sequence.size()) && sequence[left] == infinity) left++;
    int right = int(sequence.size());
    while (right > left && sequence[right - 1] == infinity) right--;
    return {left, right};
}

template <class T, class Compare>
std::vector<T> structured_convolution_with_infinity(
    const std::vector<T>& arbitrary, const std::vector<T>& structured,
    const T& infinity, Compare compare) {
    if (arbitrary.empty() || structured.empty()) return {};

    auto [left, right] = finite_interval(structured, infinity);
    int result_size = int(arbitrary.size() + structured.size() - 1);
    std::vector<T> result(result_size, infinity);
    if (left == right) return result;

    std::vector<int> columns;
    columns.reserve(arbitrary.size());
    for (int i = 0; i < int(arbitrary.size()); i++) {
        if (arbitrary[i] != infinity) columns.push_back(i);
    }
    if (columns.empty()) return result;

    int finite_size = right - left;
    int middle_size = int(arbitrary.size()) + finite_size - 1;
    std::vector<int> rows;
    rows.reserve(middle_size);
    int active = 0;
    for (int row = 0; row < middle_size; row++) {
        if (row < int(arbitrary.size()) && arbitrary[row] != infinity) active++;
        if (row >= finite_size && arbitrary[row - finite_size] != infinity) active--;
        if (active > 0) rows.push_back(row);
    }

    auto select = [&](int index, int current, int candidate) {
        if (index < candidate) return false;
        if (index - current >= finite_size) return true;
        T current_value =
            arbitrary[current] + structured[left + index - current];
        T candidate_value =
            arbitrary[candidate] + structured[left + index - candidate];
        return !compare(current_value, candidate_value);
    };
    std::vector<int> optima(middle_size, -1);
    smawk_detail::solve(rows, columns, select, optima);
    for (int row : rows) {
        int first_index = optima[row];
        result[left + row] =
            arbitrary[first_index] + structured[left + row - first_index];
    }
    return result;
}

template <class T, class Compare>
std::vector<T> linear_structured_convolution(const std::vector<T>& first,
                                             const std::vector<T>& second,
                                             Compare compare) {
    if (first.empty() || second.empty()) return {};

    int first_size = int(first.size());
    int second_size = int(second.size());
    std::vector<T> result(first_size + second_size - 1);
    result[0] = first[0] + second[0];

    int first_index = 1;
    int second_index = 1;
    int result_index = 1;
    while (first_index < first_size && second_index < second_size) {
        T first_difference = first[first_index] - first[first_index - 1];
        T second_difference = second[second_index] - second[second_index - 1];
        if (compare(second_difference, first_difference)) {
            result[result_index] = result[result_index - 1] + second_difference;
            second_index++;
        } else {
            result[result_index] = result[result_index - 1] + first_difference;
            first_index++;
        }
        result_index++;
    }
    while (first_index < first_size) {
        T difference = first[first_index] - first[first_index - 1];
        result[result_index] = result[result_index - 1] + difference;
        first_index++;
        result_index++;
    }
    while (second_index < second_size) {
        T difference = second[second_index] - second[second_index - 1];
        result[result_index] = result[result_index - 1] + difference;
        second_index++;
        result_index++;
    }
    return result;
}

template <class T, class Compare>
std::vector<T> linear_structured_convolution_with_infinity(
    const std::vector<T>& first, const std::vector<T>& second,
    const T& infinity, Compare compare) {
    if (first.empty() || second.empty()) return {};

    auto [first_left, first_right] = finite_interval(first, infinity);
    auto [second_left, second_right] = finite_interval(second, infinity);
    int result_size = int(first.size() + second.size() - 1);
    std::vector<T> result(result_size, infinity);
    if (first_left == first_right || second_left == second_right) return result;

    int offset = first_left + second_left;
    result[offset] = first[first_left] + second[second_left];

    int first_index = first_left + 1;
    int second_index = second_left + 1;
    int result_index = offset + 1;
    while (first_index < first_right && second_index < second_right) {
        T first_difference = first[first_index] - first[first_index - 1];
        T second_difference = second[second_index] - second[second_index - 1];
        if (compare(second_difference, first_difference)) {
            result[result_index] = result[result_index - 1] + second_difference;
            second_index++;
        } else {
            result[result_index] = result[result_index - 1] + first_difference;
            first_index++;
        }
        result_index++;
    }
    while (first_index < first_right) {
        T difference = first[first_index] - first[first_index - 1];
        result[result_index] = result[result_index - 1] + difference;
        first_index++;
        result_index++;
    }
    while (second_index < second_right) {
        T difference = second[second_index] - second[second_index - 1];
        result[result_index] = result[result_index - 1] + difference;
        second_index++;
        result_index++;
    }
    return result;
}

template <class T, class Compare>
bool is_structured_sequence_with_infinity(const std::vector<T>& sequence,
                                          const T& infinity, Compare violation) {
    auto [left, right] = finite_interval(sequence, infinity);
    for (int i = left; i < right; i++) {
        if (sequence[i] == infinity) return false;
    }
    for (int i = left + 1; i + 1 < right; i++) {
        T first_difference = sequence[i] - sequence[i - 1];
        T second_difference = sequence[i + 1] - sequence[i];
        if (violation(first_difference, second_difference)) return false;
    }
    return true;
}

}  // namespace convolution_detail

template <class T>
bool is_convex_sequence(const std::vector<T>& sequence) {
    for (int i = 1; i + 1 < int(sequence.size()); i++) {
        if (sequence[i] - sequence[i - 1] > sequence[i + 1] - sequence[i]) {
            return false;
        }
    }
    return true;
}

template <class T>
bool is_convex_sequence(const std::vector<T>& sequence, const T& infinity) {
    return convolution_detail::is_structured_sequence_with_infinity(
        sequence, infinity, std::greater<>());
}

template <class T>
bool is_concave_sequence(const std::vector<T>& sequence) {
    for (int i = 1; i + 1 < int(sequence.size()); i++) {
        if (sequence[i] - sequence[i - 1] < sequence[i + 1] - sequence[i]) {
            return false;
        }
    }
    return true;
}

template <class T>
bool is_concave_sequence(const std::vector<T>& sequence,
                         const T& negative_infinity) {
    return convolution_detail::is_structured_sequence_with_infinity(
        sequence, negative_infinity, std::less<>());
}

template <class T>
std::vector<T> min_plus_convolution_convex(const std::vector<T>& arbitrary,
                                           const std::vector<T>& convex) {
    auto add = [](const T& first, const T& second) { return first + second; };
    return convolution_detail::structured_convolution(arbitrary, convex,
                                                      std::less<>(), add);
}

template <class T>
std::vector<T> min_plus_convolution_convex(const std::vector<T>& arbitrary,
                                           const std::vector<T>& convex,
                                           const T& infinity) {
    return convolution_detail::structured_convolution_with_infinity(
        arbitrary, convex, infinity, std::less<>());
}

template <class T>
std::vector<T> min_plus_convolution_convex_convex(const std::vector<T>& first,
                                                  const std::vector<T>& second) {
    return convolution_detail::linear_structured_convolution(first, second, std::less<>());
}

template <class T>
std::vector<T> min_plus_convolution_convex_convex(
    const std::vector<T>& first, const std::vector<T>& second,
    const T& infinity) {
    return convolution_detail::linear_structured_convolution_with_infinity(
        first, second, infinity, std::less<>());
}

template <class T>
std::vector<T> max_plus_convolution_concave(const std::vector<T>& arbitrary,
                                            const std::vector<T>& concave) {
    auto add = [](const T& first, const T& second) { return first + second; };
    return convolution_detail::structured_convolution(arbitrary, concave,
                                                      std::greater<>(), add);
}

template <class T>
std::vector<T> max_plus_convolution_concave(const std::vector<T>& arbitrary,
                                            const std::vector<T>& concave,
                                            const T& negative_infinity) {
    return convolution_detail::structured_convolution_with_infinity(
        arbitrary, concave, negative_infinity, std::greater<>());
}

template <class T>
std::vector<T> max_plus_convolution_concave_concave(const std::vector<T>& first,
                                                    const std::vector<T>& second) {
    return convolution_detail::linear_structured_convolution(first, second, std::greater<>());
}

template <class T>
std::vector<T> max_plus_convolution_concave_concave(
    const std::vector<T>& first, const std::vector<T>& second,
    const T& negative_infinity) {
    return convolution_detail::linear_structured_convolution_with_infinity(
        first, second, negative_infinity, std::greater<>());
}

}  // namespace convex
}  // namespace m1une


#line 7 "verify/convex/monge/max_plus_convolution_concave_concave.test.cpp"

int main() {
    m1une::utilities::FastInput fast_input;
    m1une::utilities::FastOutput fast_output;

    int n, m;
    fast_input >> n >> m;
    std::vector<long long> first(n), second(m);
    for (long long& value : first) {
        fast_input >> value;
        value = -value;
    }
    for (long long& value : second) {
        fast_input >> value;
        value = -value;
    }

    constexpr long long negative_infinity = -2'000'000'000'000'000'000LL;
    std::vector<long long> result =
        m1une::convex::max_plus_convolution_concave_concave(
            first, second, negative_infinity);
    for (int i = 0; i < int(result.size()); i++) {
        if (i) fast_output << ' ';
        fast_output << -result[i];
    }
    fast_output << '\n';
}
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