## 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.

## 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.

## Efficiently Merging Large Sorted Files

The solution involves using an external Merge sort algorithm for handling data that cannot fit into memory. We’ll use a two-pointer technique.

## 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.

## Order Statistics | Selection Algorithm

“Order Statistics” is a concept discussed in the book “Introduction to Algorithms”. It pertains to finding the ith order statistics of a set of n elements in linear time. ith order statistics is the ith smallest element in a set of n elements.

## Web Development – Application Server & Web Server (Quick Notes)

Dynamic content refers to website content that changes based on user input or other factors. This can include things like personalised recommendations or customised display.

## 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

## Master-Slave and Multi-Master Database Replication (Quick Notes)

Database replication is usually done to achieve HA (High Availability) and load-sharing purposes. A single member of group is designated as master for a given piece of data and is the only node allowed to modify data.

## Mixins | Diamond Problem

Mixins help avoid problem caused by multiple inheritance namely, Diamond Problem. Diamond problem is the reason why Java doesn’t support multiple inheritance.