Problem:
Score: 500 points

Problem Statement

Takahashi will take part in an eating contest. Teams of N members will compete in this contest, and Takahashi's team consists of N players numbered 1 through N from youngest to oldest. The consumption coefficient of Member i is A_i.

In the contest, N foods numbered 1 through N will be presented, and the difficulty of Food i is F_i. The details of the contest are as follows:

A team should assign one member to each food, and should not assign the same member to multiple foods.

It will take x \times y seconds for a member to finish the food, where x is the consumption coefficient of the member and y is the difficulty of the dish.

The score of a team is the longest time it takes for an individual member to finish the food.

Before the contest, Takahashi's team decided to do some training. In one set of training, a member can reduce his/her consumption coefficient by 1, as long as it does not go below 0. However, for financial reasons, the N members can do at most K sets of training in total.

What is the minimum possible score of the team, achieved by choosing the amounts of members' training and allocating the dishes optimally?

Constraints

All values in input are integers.

1 \leq N \leq 2 \times 10^5

0 \leq K \leq 10^{18}

1 \leq A_i \leq 10^6\ (1 \leq i \leq N)

1 \leq F_i \leq 10^6\ (1 \leq i \leq N)

Input

Input is given from Standard Input in the following format:

N K
A_1 A_2 ... A_N
F_1 F_2 ... F_N

Output

Print the minimum possible score of the team.

Sample Input 1

3 5
4 2 1
2 3 1

Sample Output 1

2

They can achieve the score of 2, as follows:

Member 1 does 4 sets of training and eats Food 2 in (4-4) \times 3 = 0 seconds.

Member 2 does 1 set of training and eats Food 3 in (2-1) \times 1 = 1 second.

Member 3 does 0 sets of training and eats Food 1 in (1-0) \times 2 = 2 seconds.

They cannot achieve a score of less than 2, so the answer is 2.

Sample Input 2

3 8
4 2 1
2 3 1

Sample Output 2

0

They can choose not to do exactly K sets of training.

Sample Input 3

11 14
3 1 4 1 5 9 2 6 5 3 5
8 9 7 9 3 2 3 8 4 6 2

Sample Output 3

12

Solution in Rust (1.15.1) (judge verdict: Accepted)

#![allow(unused_imports, unused_macros, non_snake_case)]
use std::cmp::{max, min, Ordering};
use std::collections::{BTreeMap, BTreeSet, BinaryHeap, HashMap, HashSet, VecDeque};
use std::io::{self, BufReader, BufWriter, Read, Write};

//{{{ macros missing in 1.15.1
#[macro_use]
mod macros {
    macro_rules! eprint {
        ($($t:tt)*) => {{
            use ::std::io::Write;
            let _ = write!(::std::io::stderr(), $($t)*);
        }};
    }
    macro_rules! eprintln {
        () => { eprintln!(""); };
        ($($t:tt)*) => {{
            use ::std::io::Write;
            let _ = writeln!(::std::io::stderr(), $($t)*);
        }};
    }
    macro_rules! dbg {
        ($val:expr) => {
            match $val {
                tmp => {
                    eprintln!(
                        "[{}:{}] {} = {:#?}",
                        file!(),
                        line!(),
                        stringify!($val),
                        &tmp
                    );
                    tmp
                }
            }
        };
    }
}
//}}}

fn solve<R: Read, W: Write>(mut sc: Scanner<R>, mut w: BufWriter<W>) {
    let n: usize = sc.read();
    let k: i64 = sc.read();
    let mut a: Vec<i64> = sc.read_vec(n);
    let mut f: Vec<i64> = sc.read_vec(n);
    a.sort();
    f.sort_by_key(|x| Reverse(*x));
    let mut ok = 1_000_000_000_000;
    let mut ng = -1;
    while ok - ng > 1 {
        let mid = (ok + ng) / 2;
        let mut cost = 0;
        for i in 0..n {
            let max_a = mid / f[i];
            if a[i] > max_a {
                cost += a[i] - max_a;
            }
        }
        if cost <= k {
            ok = mid;
        } else {
            ng = mid;
        }
    }
    println!("{}", ok);
}

fn run() {
    let stdin = io::stdin();
    let stdout = io::stdout();

    let input = stdin.lock();
    let output = BufWriter::new(stdout.lock());

    solve(Scanner::new(input), output);
}

fn main() {
    std::thread::Builder::new()
        .name("run".to_string())
        .stack_size(256 * 1024 * 1024)
        .spawn(run)
        .unwrap()
        .join()
        .unwrap()
}

//{{{ utils
pub struct Tokenizer<R: std::io::Read> {
    reader: R,
}

impl<R: std::io::Read> Tokenizer<R> {
    pub fn new(r: R) -> Tokenizer<R> {
        Tokenizer { reader: r }
    }
}

fn is_whitespace(b: u8) -> bool {
    b == b' ' || b == b'\n' || b == b'\r' || b == b'\t'
}

impl<R: std::io::Read> std::iter::Iterator for Tokenizer<R> {
    type Item = String;
    fn next(&mut self) -> Option<Self::Item> {
        let buf = std::io::Read::bytes(self.reader.by_ref())
            .map(|b| b.unwrap_or(b' '))
            .skip_while(|&b| is_whitespace(b))
            .take_while(|&b| !is_whitespace(b))
            .collect::<Vec<_>>();
        if buf.is_empty() {
            None
        } else {
            Some(unsafe { String::from_utf8_unchecked(buf) })
        }
    }
}

pub struct Scanner<R: std::io::Read> {
    tokenizer: Tokenizer<R>,
}

impl<R: std::io::Read> Scanner<R> {
    pub fn new(r: R) -> Scanner<R> {
        Scanner {
            tokenizer: Tokenizer::new(r),
        }
    }
}

pub trait FromTokens {
    fn from_tokens(tokens: &mut Iterator<Item = String>) -> Self;
}

macro_rules! from_tokens_primitives {
    ($($t:ty),*) => { $(
        impl FromTokens for $t {
            fn from_tokens(tokens: &mut Iterator<Item = String>) -> Self {
                tokens
                    .next()
                    .expect("no more token")
                    .parse()
                    .ok()
                    .expect("Parse error")
            }
        }
    )* }
}

// FIXME: Can it be implemented by FromStr?
from_tokens_primitives! {
    String,
    bool,
    f32,
    f64,
    isize,
    i8,
    i16,
    i32,
    i64,
    usize,
    u8,
    u16,
    u32,
    u64
}

impl<T1: FromTokens, T2: FromTokens> FromTokens for (T1, T2) {
    fn from_tokens(tokens: &mut Iterator<Item = String>) -> Self {
        (T1::from_tokens(tokens), T2::from_tokens(tokens))
    }
}

impl<T1: FromTokens, T2: FromTokens, T3: FromTokens> FromTokens for (T1, T2, T3) {
    fn from_tokens(tokens: &mut Iterator<Item = String>) -> Self {
        (
            T1::from_tokens(tokens),
            T2::from_tokens(tokens),
            T3::from_tokens(tokens),
        )
    }
}

impl<T1: FromTokens, T2: FromTokens, T3: FromTokens, T4: FromTokens> FromTokens
    for (T1, T2, T3, T4)
{
    fn from_tokens(tokens: &mut Iterator<Item = String>) -> Self {
        (
            T1::from_tokens(tokens),
            T2::from_tokens(tokens),
            T3::from_tokens(tokens),
            T4::from_tokens(tokens),
        )
    }
}

impl<T1: FromTokens, T2: FromTokens, T3: FromTokens, T4: FromTokens, T5: FromTokens> FromTokens
    for (T1, T2, T3, T4, T5)
{
    fn from_tokens(tokens: &mut Iterator<Item = String>) -> Self {
        (
            T1::from_tokens(tokens),
            T2::from_tokens(tokens),
            T3::from_tokens(tokens),
            T4::from_tokens(tokens),
            T5::from_tokens(tokens),
        )
    }
}

impl<R: std::io::Read> Scanner<R> {
    pub fn read<T: FromTokens>(&mut self) -> T {
        T::from_tokens(&mut self.tokenizer)
    }

    pub fn read_vec<T: FromTokens>(&mut self, n: usize) -> Vec<T> {
        (0..n).map(|_| self.read()).collect()
    }

    pub fn read_chars(&mut self) -> Vec<char> {
        self.read::<String>().chars().collect()
    }
}

pub trait SetMinMax {
    fn set_min(&mut self, v: Self) -> bool;
    fn set_max(&mut self, v: Self) -> bool;
}

impl<T> SetMinMax for T
where
    T: PartialOrd,
{
    fn set_min(&mut self, v: T) -> bool {
        *self > v && {
            *self = v;
            true
        }
    }
    fn set_max(&mut self, v: T) -> bool {
        *self < v && {
            *self = v;
            true
        }
    }
}

#[derive(PartialEq, Eq, Debug, Copy, Clone, Default, Hash)]
pub struct Reverse<T>(pub T);

impl<T: PartialOrd> PartialOrd for Reverse<T> {
    #[inline]
    fn partial_cmp(&self, other: &Reverse<T>) -> Option<Ordering> {
        other.0.partial_cmp(&self.0)
    }

    #[inline]
    fn lt(&self, other: &Self) -> bool {
        other.0 < self.0
    }
    #[inline]
    fn le(&self, other: &Self) -> bool {
        other.0 <= self.0
    }
    #[inline]
    fn ge(&self, other: &Self) -> bool {
        other.0 >= self.0
    }
    #[inline]
    fn gt(&self, other: &Self) -> bool {
        other.0 > self.0
    }
}

impl<T: Ord> Ord for Reverse<T> {
    #[inline]
    fn cmp(&self, other: &Reverse<T>) -> Ordering {
        other.0.cmp(&self.0)
    }
}
//}}}