If you can come up with some sample Q or something, it’d be nice, as I feel Q is quite broad. But I will attempt to clarify your doubts.
Lets take example of Fibonacci numbers. We all know the recursive approach is-
return fib(n-1)+fib(n-2); //assume fib to be the function.
In this function, we use if-else to check for base cases (like 1st Fibonacci number being 1 or etc. as given in problem or found out by us), and make the function call itself until base cases are reached (so it can finally start computing).
The dynamic approach is conceptually same. We assign initial values of table the base values.
fib=1, fib 1=1;//assume fib to be a 1-D array, not function here.
Now, just like recursion approach would repetitively call itself to return value of fib(n) [by computing and finding fib[n-1], fib[n-2], fib[n-3]…fib 1 etc.)
In dp, we would make a loop which would use past values of table to compute future values.
for(I=2;i < n;i++)
fib[I] = fib[I-1]+fib[I-2];
Starting from I=2, this loop would directly start computing the values and we would save a lot of time (which is lost in function call and re-computing same sub-problems in case of recursion)
The difference may seem little, but the effect on time taken is HUGE. I highly recommend visiting geek for geek’s first 2 articles on dynamic programming. I think they will surely help you!