👉 Page math, also known as page-based or page-area decomposition, is a method used in computational complexity theory to analyze the efficiency of algorithms, particularly those involving graphs and networks. It works by partitioning the input space into smaller, manageable sections or "pages" and then analyzing the algorithm's performance within each page. By doing so, it helps to identify bottlenecks and understand how the algorithm scales with increasing input size. This approach is especially useful for algorithms that operate on large graphs, as it provides insights into their average-case and worst-case performance by examining how they behave across different partitions. Page math is a powerful tool for proving lower bounds and understanding the inherent complexity of various computational problems, making it a cornerstone in the study of algorithmic efficiency.
