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.
Category: Mathematics
Comparing Naive and Strassen’s Matrix Multiplication Algorithms
Strassen’s algorithm reduces computational complexity but adds complexity to implementation and memory usage.
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.
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.
Understanding Linearity of Expectation
Linearity of expectation is a powerful concept in probability theory that simplifies the calculation of expected values in probabilistic experiments.
Stable Marriage Problem Solution
Stable Marriage Problem is a problem in computer science of finding a stable matching between two equally sized sets based on preferences.
Solving the Fractional Knapsack Problem
While the 0/1 Knapsack problem restricts you to take an item entirely, Fractional Knapsack problem allows you to take fractions of an item.
Nim’s Game | Code Implementation
Nim’s game is played with a set of heaps, each containing a certain number of objects or stones. Two players take turns removing objects from the heaps
Custom Randomize | Generate Integers with Equal Probability
Given a function foo(), that returns an integer between 1 and 5 with equal probability. Write a function using foo() that returns an integer between 1 and 7.
Reservoir Sampling
Reservoir sampling is a category of randomised algorithms for choosing a simple random sample, without replacement, of k items