Time and space complexity are terms used in computer science to analyze the efficiency of algorithms. Time Complexity measures the amount of time an algorithm takes to complete as a function of the input size. Space Complexity quantifies the amount of memory space an algorithm uses in relation to the input size.

This Repository contains topics related to Amortized Analysis. Amortized analysis is like budgeting for algorithms. Instead of focusing on the worst-case scenario for each operation, it looks at the overall cost of a sequence of operations.

This repository is a collection of star and number patterns implemented in JAVA programming languages. Whether you are a beginner looking to improve your coding skills or an experienced developer interested in exploring different different patterns, this collection has something for everyone.

This repository is for mastering mathematical concepts and solving complex problems. Let's unravel the beauty of mathematics together

Recurrence relations can vary greatly in complexity and form depending on the specific sequence or problem being modeled. They are often used in algorithm analysis, dynamic programming, and solving various types of mathematical and computational problems.

This repository serves as a collection of algorithms and code snippets related to bit manipulation. This repository is designed to help you understand, explore, and implement various bit manipulation techniques in your projects.