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Author: Logan

The Monty Hall Problem: A Mathematical Paradox

The problem is deceptively simple yet counterintuitive, making it a classic example of how human intuition can sometimes conflict with mathematical reasoning.

Mathematics

Counting Inversions using Fenwick Tree

Fenwick Trees can efficiently track and count inversions in real-time and even for a continuous stream of data.

Arrays, Competitive Programming

Fenwick Tree (Binary Indexed Tree)

Fenwick Tree’s efficiency, combined with its relatively simple implementation, makes it useful in competitive programming and applications that involve dynamic sum queries and updates.

Competitive Programming, Special Data Structures

Efficient Matrix Multiplication: A Hybrid Approach Combining Strassen’s and Traditional Methods

Hybrid approach uses the traditional method for smaller matrices and switches to Strassen’s algorithm when the matrix size exceeds a threshold.

Computer Science, Mathematics

Comparing Naive and Strassen’s Matrix Multiplication Algorithms

Strassen’s algorithm reduces computational complexity but adds complexity to implementation and memory usage.

Computer Science, Mathematics

Comparing Performance of Efficient Sorting Algorithms

Unlike simple algorithms, efficient sorting algorithms typically have an average time complexity of O(n logn).

Computer Science, Sorting

Comparing Performance of Popular Sorting Algorithms

Sorting algorithms are methods used to rearrange elements in a list or array into a particular order, typically either ascending or descending.

Computer Science, Sorting

Timsort: The Hybrid Sorting Algorithm

Timsort with its time complexity of O(nlogn) in the worst case and O(n) in the best case, has become the default sorting algorithm for Python, Java, and other programming languages.

Computer Science, Sorting

Treap (Tree + Heap)

Treap is an efficient and simple data structure that combines the best of both binary search trees and heaps. It provides the benefits of efficient search, insert, and delete operations.

Competitive Programming, Computer Science, Special Data Structures

Bayes’ Theorem: Probability and Statistics

Bayesian inference is central to probabilistic models and algorithms like Naive Bayes classifiers, which are widely used in machine learning.

Data Science, Machine Learning, Mathematics

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