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Applied Mathematical Optimization

Applied Mathematical Optimization

 Applied Mathematical Optimization - 
Optimization, data science , data analytics


Applied Mathematical Optimization is a field of study that applies mathematical optimization techniques to solve problems in various fields such as engineering, economics, finance, and computer science. It involves the use of mathematical models and algorithms to find optimal solutions to problems that involve decision-making under constraints.


There are many applications of Applied Mathematical Optimization such as in logistics, scheduling, resource allocation, and production planning1. The field has been used to solve complex problems such as designing aircraft engines2 and optimizing supply chain management3.


If you’re interested in learning more about Applied Mathematical Optimization, you can check out the Applied Mathematics and Optimization Journal by Springer1. It covers a broad range of mathematical methods in particular those that bridge with optimization and have some connection with applications.


What you'll learn

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  • Easily & quickly develop an optimization model from scratch
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  • In less than 2 hours, you will have a very good grasp of the software & you can build your own models


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