What is memoization and can you give me an example?
Memoization is an optimization technique used to speed up function calls by storing the results of expensive function calls and returning the cached result when the same inputs occur again.
Can you show me a code example of memoization?
Sure! Here's a simple example in Python:
def memoize(f):
cache = {}
def helper(x):
if x not in cache:
cache[x] = f(x)
return cache[x]
return helper
@memoize
def fibonacci(n):
if n <= 1:
return n
return fibonacci(n-1) + fibonacci(n-2)
In this example, the fibonacci
function uses memoization to store previously computed values.
How does this improve performance?
By storing the results of previous calculations, memoization avoids redundant computations, significantly reducing the time complexity, especially for recursive functions like Fibonacci.
Get this answer and more from ChatGPT in Telegram, try it for free!
Get Started For FreePowered by advanced language models trained on billions of online words and conversations, MagicBuddy delivers friendly and helpful chat on demand.
Ask questions and get answers. Crack jokes and get laughs. Or even get writing ideas and study help. MagicBuddy's conversational intelligence allows for a truly unique and useful chat experience.
Curious? Try these prompts:
MagicBuddy is incredibly easy to use and the responses are lightning fast! 🥇
Impressive! MagicBuddy is my go-to AI assistant. It’s quick, accurate, and user-friendly.
Sending voice messages makes it easier to use in the middle of the day and the answers are super fast.
Love it! A friend of mine told me about it and it has made my life so much easier. It’s like having a helpful friend in my pocket!
I use 2 months already, simply amazing! MagicBuddy delivers answers in a snap. It’s a must-have tool for staying informed!
Game-changer! MagicBuddy’s speed and accuracy are unmatched. It’s my secret weapon for productivity
Say Hello to Your New Telegram BFF - Try MagicBuddy Free!
Get Started For Free