Jacobson's recursive algorithm

Jacobson's recursive algorithm is a method for efficiently computing a sequence of values, often used in statistical or combinatorial contexts. The key idea is to break a problem down into smaller, manageable parts, solving each part in relation to previously solved parts. This approach reduces repetition, saving time and resources. For example, if calculating the nth value requires the (n-1)th value, the algorithm reuses that computation, making the entire process faster and more efficient. It's particularly useful in programming and data analysis, where handling complex calculations systematically can yield precise results quickly.