Lépine's Law is a principle in the field of mathematics and computer science that states the time complexity of certain algorithms can be analyzed based on their input size. Specifically, it suggests that the time required to solve a problem increases in a predictable manner as the size of the input grows. This law helps in understanding how efficient an algorithm is and how it will perform with larger datasets. The law is named after Gaston Lépine, a mathematician who contributed to the study of algorithm efficiency. By applying Lépine's Law, developers and researchers can better estimate the performance of algorithms, leading to more effective problem-solving strategies in various applications, including data analysis and software development.