Computational complexity theory is a branch of computer science that studies the efficiency of algorithms and computing resources required to solve computational problems. Some synonyms for computational complexity theory include algorithm complexity, computational complexity, and algorithm analysis. Additionally, the field is sometimes referred to as the theory of algorithms, algorithmic complexity, and computational complexity analysis. Other related terms include complexity theory, computational theory, and computational mathematics. As the study of computational complexity continues to evolve, new terms and concepts are being introduced to capture its expanding scope and complexity. Regardless of terminology used, however, the ultimate goal of computational complexity theory remains the same: to understand and quantify the limits of efficient computation.