## Sudoku Solver using Backtracking

Let’s implement a Sudoku solver using a backtracking & recursive algorithm for the grid of variable size (N x N).

## Mersenne Twister Algorithm vs rand(): Generating Random Numbers

Understanding the differences between the Mersenne Twister algorithm and rand() method helps in selecting the appropriate method based on specific programming needs.

## Comparing Order Statistics Algorithm and Min Heap for Finding the Kth Smallest Element

Both methods provide effective solutions for finding the kth smallest element in a list of numbers. Understanding their strengths and trade-offs will help you select the most suitable approach for your use case.

## Understanding P, NP, and NP-Complete

This so-called P ≠ NP question has been one of the deepest, most perplexing open research problems in theoretical computer science.

## LRU (Least Recently Used) Cache | Algorithm & Implementation

LRU (Least Recently Used) Cache is a type of cache replacement algorithm, where the least recently used item is evicted when the cache is full.

These are the articles, dedicated specifically to advanced competitive programming concepts. Modular Multiplicative Inverse, Nth Catalan Number.

## Introduction to Machine Learning | Linear Regression

Linear regression is a linear approach to modeling the relationship between a scalar response (or dependent variable) and one or more independent variables.

## Sorting in Linear Time | Counting Sort, Radix Sort, Bucket Sort

Traditional sorting algorithms have average time complexities of O(n logn), making them efficient for general-purpose sorting.

## Web Crawler in Python | Comparing Yahoo, DuckDuckGo and Bing Search Results

BeautifulSoup is a Python library designed to parse HTML and XML documents. It simplifies tasks like iterating and searching HTML elements by attributes.

## Tail Recursion Example: Functional Programming Languages

Tail recursion optimization works by maintaining a single call frame for the recursive calls instead of creating a new one each time.

## Max of All Subarrays of Size k Using Max Heap in C++

This problem, also referred to as the “sliding window maximum” problem, can be efficiently solved using heaps. We’ve already discussed an O(n) solution.

## Finding All Subsequences of a String Using Python | Iterative vs Recursive

Subsequences derived from strings by deleting some or no characters without changing order, are crucial in fields like bioinformatics, data mining, and cryptography.

## Introduction to Java: Understanding Key Concepts and Writing Your First Program

The JVM is the cornerstone of Java’s platform-independent functionality. It allows Java bytecode to be executed on any device that has the JVM installed, making Java applications portable.

## Understanding the Pigeonhole Principle with Python

The Pigeonhole principle is a useful tool that can be applied in various scenarios. Applying this principle, one can perform data integrity checks and make statistical predictions.

## Finding the Actual Longest Common Subsequence from Dynamic Programming Table

It aims to find the longest subsequence present in both input sequences, where a subsequence is a sequence that appears in the same relative order but not necessarily consecutively.

## Pretty Print a Binary Tree in Python

Visualizing a binary tree can help in understanding its structure and the relationships between its nodes. It is particularly useful for debugging problems with complex Binary Trees.

## Merging Datasets in Python using Numpy, Pandas

Pandas provides powerful tools for complex data manipulations. For the large datasets, Pandas chunk processing is a better approach.

## Generators in Python

This generator acts as a task manager, handling tasks sent to it one at a time and maintaining its state across calls.