👉 Cached math refers to the practice of storing precomputed results of mathematical operations or computations in memory, allowing for faster access and execution when the same operation is needed again. This technique is particularly useful in scenarios where expensive or time-consuming calculations are performed repeatedly, such as in simulations, algorithms, or optimization problems. By caching these results, the system avoids redundant computations, significantly improving performance and efficiency. For example, in numerical analysis or machine learning, cached math can speed up tasks like matrix multiplications or solving linear equations by reusing previously calculated values instead of recalculating them each time. This approach is especially beneficial in environments with limited computational resources or when dealing with large datasets where repeated calculations can be costly.
