How can I implement memoization in my code?

How can I implement memoization in my code?

Memoization is an optimization technique that stores the results of expensive function calls and returns the cached result when the same inputs occur again. Would you like a code example?

Yes, please provide a code example in Python.

Sure! Here's a simple example using a decorator:

def memoize(func):
    cache = {}
    def wrapper(*args):
        if args in cache:
            return cache[args]
        result = func(*args)
        cache[args] = result
        return result
    return wrapper

@memoize
def fibonacci(n):
    if n <= 1:
        return n
    return fibonacci(n-1) + fibonacci(n-2)

How does this code work?

The memoize function creates a cache dictionary to store results. When fibonacci is called, it checks if the result is already in the cache. If it is, it returns the cached result; otherwise, it computes the result and stores it in the cache.

Can memoization be used in other programming languages?

Absolutely! Memoization can be implemented in various languages like JavaScript, Java, and C++. The concept remains the same: caching results to optimize performance.