Approach
Sorting and greedy selection
For Codeforces 1941F — Rudolf and Imbalance, the implementation first exposes a useful order, then scans that order while making locally justified choices.
- Choose the key that reveals the greedy or grouping structure.
- Sort the relevant records by that key.
- Scan in order, maintaining the invariant that makes each local choice safe.
Code notes
- 57 lines of Go from the credited upstream file 1941F.go.
- The implementation visibly relies on sequence storage.
- No explicit loop blocks detected.
Complexity
Sorting is typically the dominant term unless the subsequent scan uses a more expensive nested operation.
Check the problem constraints before deciding whether this complexity will pass.
Use this to learn the idea, then write your own version.
1package main2 3import (4 . "fmt"5 "io"6 "slices"7)8 910func cf1941F(in io.Reader, out io.Writer) {11 var T, n, m, k int12 for Fscan(in, &T); T > 0; T-- {13 Fscan(in, &n, &m, &k)14 a := make([]int, n)15 for i := range a {16 Fscan(in, &a[i])17 }18 b := make([]int, m)19 for i := range b {20 Fscan(in, &b[i])21 }22 c := make([]int, k)23 for i := range c {24 Fscan(in, &c[i])25 }26 27 ans, se, mxI := a[1]-a[0], 0, 128 for i := 2; i < n; i++ {29 d := a[i] - a[i-1]30 if d > ans {31 ans, se, mxI = d, ans, i32 } else if d > se {33 se = d34 }35 }36 mid := (a[mxI-1] + a[mxI]) / 237 38 slices.Sort(b)39 slices.Sort(c)40 j := k - 141 for _, v := range b {42 for j >= 0 && v+c[j] > mid {43 j--44 }45 if j >= 0 {46 ans = min(ans, a[mxI]-v-c[j])47 }48 if j+1 < k {49 ans = min(ans, v+c[j+1]-a[mxI-1])50 }51 }52 Fprintln(out, max(ans, se))53 }54}55 5657