Important Algorithms for coding interviews :books:

Executing important algorithms using java

Using two approaches to solve the job sequencing problem, both approaches use binary search tree and greedy algorithm. Time complexity for two approaches are n log(n).

Cross-language (Python & C++) benchmarking of Genetic Algorithm and Simulated Annealing for optimizing job sequencing.

optimal arrangement of jobs that certain deadlines must be completed to maximize profit or minimize loss

Important Algorithms

This repository serves as a valuable resource for individuals interested in exploring the design and analysis of algorithms. Whether you are a student studying computer science or a developer seeking to enhance your algorithmic skills, this collection will provide you with a diverse set of algorithms to learn from and apply in your projects.

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