+**Convex Optimization** is a subfield of [Optimization](/wiki/optimization) that focuses on minimizing convex functions over convex sets. Its problems are inherently well-behaved, guaranteeing that any local optimum is also a global optimum, making them tractable and efficient to solve. This powerful framework underpins many modern applications, from [Machine Learning](/wiki/machine_learning) to engineering design.
+## See also
+- [Mathematics](/wiki/mathematics)
+- [Algorithm](/wiki/algorithm)
+- [Data Science](/wiki/data_science)
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