Algebraic complexity is a subfield of computational complexity theory that quantifies the inherent difficulty of computing mathematical expressions, primarily polynomials or rational functions, using algebraic operations. It investigates the minimum number of arithmetic operations (addition, subtraction, multiplication, division) required within models like algebraic circuits or straight-line programs, providing fundamental lower bounds on computational resources for algebraic problems and understanding the structure of algebraic computation.