Computational techniques refer to methods and algorithms used to solve complex problems through computation. These techniques often involve mathematical models, simulations, and data analysis to derive solutions in various fields such as computer science, engineering, and finance. They enable researchers and professionals to process large amounts of data efficiently and make informed decisions. Common computational techniques include numerical analysis, machine learning, and optimization. Numerical analysis focuses on approximating solutions to mathematical problems, while machine learning uses algorithms to learn from data and make predictions. Optimization techniques help find the best solution among many possibilities, making them essential in resource allocation and scheduling tasks.