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📝 Beginner-Friendly Guide "Minimum Deletions to Make String K-Special" LeetCode 3085 (C++ | Python | JavaScript)

LeetCode 3085 | Medium | Greedy + Frequency Analysis 🧠 Problem Summary You are given: A string word consisting of lowercase letters. An integer k. A string is k-special if for every pair of characters i, j in the st…

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LeetCode 3085 | Medium | Greedy + Frequency Analysis









🧠 Problem Summary



You are given:




  • A string word consisting of lowercase letters.

  • An integer k.



A string is k-special if for every pair of characters i, j in the string:




|freq(word[i]) - freq(word[j])| <= k






Your task is to minimize the number of deletions required to make word k-special.









🧹 Intuition



To make a string k-special, the difference between the maximum and minimum frequency of any two letters should be ≤ k.



Key Observations:




  • Count the frequency of each character.

  • Try to normalize frequencies around every possible frequency value.

  • For each candidate frequency x, adjust higher values to be ≤ x + k, and remove characters with frequency less than x completely.



This problem becomes a greedy scan over frequency values to find the configuration with minimal deletions.









🧮 C++ Code






class Solution {
public:
int minimumDeletions(string word, int k) {
vector<int> freq(26, 0);
for (char ch : word)
freq[ch - 'a']++;

sort(freq.begin(), freq.end());

int ans = 1e5 + 5;
int i = 0;
while (freq[i] == 0) i++; // Skip zeros
int t = i;

for (; i < 26; i++) {
int x = freq[i];
int ops = 0;
for (int j = t; j < 26; j++) {
if (i == j) continue;
int y = freq[j];
if (y - x > k) ops += y - x - k;
if (y < x) ops += y;
}
ans = min(ans, ops);
}

return ans;
}
};









📝 Key Notes:




  • Frequencies are sorted for easier range-based analysis.

  • Try making every valid freq[i] the base frequency.

  • If any frequency is too large, trim it down; if too small, delete it.

  • Time Complexity: O(26^2) ~= O(1)

  • Space Complexity: O(26)









💻 JavaScript Code






var minimumDeletions = function(word, k) {
const freq = Array(26).fill(0);
for (const ch of word)
freq[ch.charCodeAt(0) - 'a'.charCodeAt(0)]++;

freq.sort((a, b) => a - b);
let ans = 1e5 + 5;
let i = 0;
while (freq[i] === 0) i++;
let t = i;

for (; i < 26; i++) {
let x = freq[i], ops = 0;
for (let j = t; j < 26; j++) {
if (i === j) continue;
let y = freq[j];
if (y - x > k) ops += y - x - k;
if (y < x) ops += y;
}
ans = Math.min(ans, ops);
}
return ans;
};












🐍 Python Code






class Solution:
def minimumDeletions(self, word: str, k: int) -> int:
freq = [0] * 26
for ch in word:
freq[ord(ch) - ord('a')] += 1

freq.sort()
i = 0
while i < 26 and freq[i] == 0:
i += 1
t = i
ans = float('inf')

for i in range(t, 26):
x = freq[i]
ops = 0
for j in range(t, 26):
if i == j:
continue
y = freq[j]
if y - x > k:
ops += y - x - k
if y < x:
ops += y
ans = min(ans, ops)

return ans












✅ Final Thoughts



This problem highlights:




  • The power of frequency analysis and greedy optimization.

  • How to turn a "global condition" (equalizing freq) into a local transformation via range loops.



Great practice for:




  • Frequency array manipulation

  • Greedy analysis on sorted data



Drop a ❤️ if this helped, and stay tuned for more algorithm insights and optimizations!



Happy coding! 🚀

1. Sofort-Triage & Abwehrmaßnahmen

SOC Incident Playbook: Vulnerability Remediation & Verification
Syntax validiert (0 Fehler)
title: Detect Exploitation - 📝 Beginner-Friendly Guide "Minimum Deletions to Make String K-Special" LeetCode 3085 (C++ | Python | JavaScript)
id: 1f46bd0e-f9c9-44b0-9df0-be847c642204
status: experimental
description: Automatisch generierte SIEM-Erkennungsregel basierend auf CTI Intelligence
references:
  - https://tsecurity.de/
author: iShareStuff CTI Automated Detection Engine
date: 2026-09-27
logsource:
  category: network_connection
  product: any
detection:
  selection:
      CommandLine|contains:
        - 'exploit'
  condition: selection
falsepositives:
  - Legitime administrative Zugriffe oder Penetrationstests
level: high
tags:
  - attack.initial_access
Syntax validiert (0 Fehler)
rule CTI_Threat_Indicator {
    meta:
        author = "iShareStuff CTI Automated Detection Engine"
        date = "2026-09-27"
        description = "YARA Signature for "
    strings:
        $str = "📝 Beginner-Friendly Guide \"Min" ascii wide
    condition:
        any of them
}
Syntax validiert (0 Fehler)
index=security sourcetype IN ("cisco:asa", "pan:traffic", "zeek_conn", "suricata", "WinEventLog:Security")
("Beginner-Friendly Guide Minimum Deletion")
| stats count earliest(_time) as first_seen latest(_time) as last_seen by src_ip, dest_ip, dest_host, signature
| eval first_seen=strftime(first_seen, "%Y-%m-%d %H:%M:%S"), last_seen=strftime(last_seen, "%Y-%m-%d %H:%M:%S")
| sort - count
Syntax validiert (0 Fehler)
message: "*Beginner-Friendly Guide Minimum Deletion*"
Syntax validiert (0 Fehler)
CommonSecurityLog
| where Message has "Beginner-Friendly Guide Minimum Deletion"
| summarize EventCount = count(), FirstSeen = min(TimeGenerated), LastSeen = max(TimeGenerated) by SourceIP, DestinationIP, DestinationPort, Activity
| extend DetectionRule = "iShareStuff-CTI-Compiled"
| sort by EventCount desc

2. Cyber Threat Intelligence & Forensik

CTI Threat Relationship Graph2 Knoten / 1 Relationen
CVE / Incident Software MITRE ATT&CK CWE Weakness IoC
🎯
MITRE ATT&CK Matrix Navigator 14 Taktiken
Reconnaissance
-
Resource Development
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Initial Access
Execution
Persistence
-
Privilege Escalation
Defense Evasion
Credential Access
-
Discovery
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Lateral Movement
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Collection
-
Command and Control
Exfiltration
-
Impact
tsecurity.de Cognitive Threat RAG
Fokus-Vektor:

Analyse für identifizierte Bedrohung auf Basis von Live-CTI (ENISA EUVD): CVSS 0.0 · EPSS 0.0% · CISA KEV: nein. Handlungsableitung aus den verlinkten Hersteller-Quellen.

🛡️ Angriffsfläche & Exposure

Netzwerk/Remote-Zugriff ohne Vorauthentifizierung möglich.

⚡ Empfohlene Sofortmaßnahmen
  • 1. Perimeter-Inspektion: Relevante Portfreigaben und exponierte Endpunkte unverzüglich scannen.
  • 2. Patch-Applikation: Hersteller-Hotfix einspielen oder betroffene Daemons in isolierte DMZ-Segmente überführen.
  • 3. Telemetrie & EDR-Alerts: Prozessaufrufe und Child-Processes auf anomale Shell-Spawns überwachen.
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