The scipy.special module enhances performance and accuracy in numerical computations. Key optimization techniques include using logarithmic forms to prevent overflow, leveraging vectorized operations for efficiency, and implementing caching mechanisms for repeated function calls. Understanding function relationships aids in selecting the most efficient special functions for various problems.