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Add Newsletter Subscription Section to Footer #4293

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lovelymahor Aug 9, 2024
dc6bbcf
Add Newsletter Subscription Section to Footer
lovelymahor Aug 10, 2024
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18 changes: 18 additions & 0 deletions docusaurus.config.js
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Original file line number Diff line number Diff line change
Expand Up @@ -397,6 +397,24 @@ const config = {
},
],
},
// Add a new section for the LinkedIn newsletter
{
title: "Newsletter",
items: [
{
html: `
<div class="newsletter-subscription">
<h4>Subscribe to our Newsletter</h4>
<p>Stay updated with the latest news and tutorials from CodeHarborHub by subscribing to our LinkedIn newsletter.</p>
<a href="https://www.linkedin.com/newsletters/advance-development-and-coding-7030185990174515200" target="_blank" rel="noopener noreferrer">
Subscribe on LinkedIn
</a>
</div>
`,
},
],
},

],
logo: {
alt: "Powered by CodeHarborHub | Product Hunt",
Expand Down
20 changes: 4 additions & 16 deletions dsa-solutions/gfg-solutions/Easy problems/square-root.md
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@@ -1,16 +1,11 @@
---
id: square-root
title: Square Root
sidebar_label: 9 Square Root
sidebar_label: Square-Root
tags:
- Math
- Binary Search
- Python
- Java
- C++
- JavaScript
- TypeScript
description: "This document provides solutions to the problem of finding the square root of a given integer using various programming languages."
description: "This document provides solutions to the problem of finding the Square Root of an integer."
---

## Problem
Expand Down Expand Up @@ -43,7 +38,7 @@ You don't need to read input or print anything. The task is to complete the func
**Expected Auxiliary Space:** $O(1)$

**Constraints**
- $1 ≤ x ≤ 10^7$
- `1 ≤ x ≤ 10^7`

## Solution

Expand Down Expand Up @@ -190,11 +185,4 @@ class Solution {
The provided solutions efficiently find the floor value of the square root of a given integer `x` using binary search. This approach ensures a time complexity of $ O(log N) and an auxiliary space complexity of $O(1)$. The algorithms are designed to handle large values of `x` up to 10^7 efficiently without relying on built-in square root functions.

**Time Complexity:** $O(log N)$
**Auxiliary Space:** $O(1)$

---

## References

- **GeeksforGeeks Problem:** [Square root](https://www.geeksforgeeks.org/problems/square-root/0)
- **Author GeeksforGeeks Profile:** [GeeksforGeeks](https://www.geeksforgeeks.org/user/GeeksforGeeks/)
**Auxiliary Space:** $O(1)$
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