Imagine you are managing a project for a major telecommunications company, such as Airtel or Jio, and your task is to lay cable lines underground efficiently and cost-effectively. This scenario is a perfect application of Prim’s algorithm, a fundamental tool…
Connectivity between cities poses many issues to the supply chain. There are no train transportation facilities in the towns of Himachal Pradesh, Jammu, and Kashmir, and thus, it is essential to decrease transportation and other costs. Dijkstra’s algorithm is one…
Understanding complex systems often requires robust mathematical tools. Among the most reliable of these is the Runge Kutta method, commonly known as RK-4. Not only pivotal in mathematical computations like those found in carbon dating, the RK-4 method proves essential…
We all have heard about Game Theory. There’s even a famous movie, A Beautiful Mind, which beautifully discusses Nash equilibrium. Game theory is a powerful tool for analyzing people’s ability to make interdependent decisions. Game theory has a huge application…
Minor cost transportation problems (LCTP) are among supply chain management’s most common and essential issues. LCTP involves determining the most cost-effective way to transport goods from many sources to multiple destinations with varying costs. Linear programming concepts in linear algebra…
Today’s software development environment thrives on powerful tools that assist in coding and project management. Among these tools, text editors stand out for their simplicity and effectiveness. One such editor, Atom, developed by GitHub, has been a popular choice for…
Portfolio optimization aims to maximize returns and minimize risks by constructing an optimal asset allocation. Python’s powerful libraries like NumPy and CVXPY enable solving this optimization problem, which is subject to constraints like target return and weight restrictions, using techniques…
Ever wonder why your net speed varies multiple times in a day? It all happens due to the allotted data packets by your internet provider, which are determined by the network flow of data packets. A limited number of data…
Survival analysis is a statistical method for investigating the time until an event of interest occurs, making it invaluable in fields such as medical sciences, engineering, and beyond. With its extensive libraries like NumPy and Matplotlib, Python provides an ideal…
Data-driven decision-making has become essential across various fields, from finance and economics to medicine and engineering. Understanding probability and statistics is crucial for making informed choices today. Bayesian inference, a powerful tool in probabilistic reasoning, allows us to update our…