Learning combinatorial mathematics mainly studies the distribution of discrete data, and generally only needs basic knowledge such as arrangement, combination and probability in analysis. Analysis refers to mathematical analysis, with differential calculus, integral calculus, series theory and real number theory as the basic contents. Generally speaking, learning combinatorial mathematics only requires relatively basic analytical knowledge.
Combinatorial mathematics in a broad sense is discrete mathematics, and combinatorial mathematics in a narrow sense is the general name of graph theory, algebraic structure, mathematical logic and so on. Combinatorial mathematics is a science that studies discrete objects. With the development of computer science, the importance of combinatorial mathematics is increasingly prominent, because the core content of computer science is to process discrete data with algorithms. The narrow sense of combinatorial mathematics mainly studies the existence, counting and construction of configurations (also known as combinatorial models) that meet certain conditions. The main contents of combinatorial mathematics include combinatorial counting, combinatorial design, combinatorial matrix, combinatorial optimization (optimal combination) and so on.