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Combinatorial optimization is a branch of optimization in mathematics and computer science that deals with problems where the objective is to find an optimal solution from a finite set of possible solutions. These problems often involve discrete structures, such as graphs, integers, or combinations of sets. Key features of combinatorial optimization include: 1. **Discrete Solutions**: Unlike continuous optimization, which deals with real-valued variables, combinatorial optimization focuses on scenarios where the solutions are discrete or combinatorial in nature.

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  1. Combinatorial algorithms
  2. Algorithms
  3. Applied mathematics
  4. Fields of mathematics
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