Hi Arvind,
For the fibonacci series, we need to memoize only the the last 2 fibonacci
numbers.
We can even avoid recursion... So our regular fibonacci algorithm is the
simplest example of a dynamic programming algorithm with memoization.
To find nth fibonacci number:
int p = 0, q = 1, f;
for (int i = 1; i <= n; i++)
{
f = p + q;
p = q;
q = f;
}
But as gene mentioned, in complex programs involving dynamic programming we
might need to access more than 1 or 2 previously obtained values. To reduce
the burden of recalculating old values, we preserve them in a
hash/table/array, as the case might be and access them directly from there.
One of the most important properties of dynamic programming is that the
solutions to sub-problems are reused, which can be achieved with
memoization.
-Vandana
On Tue, Oct 11, 2011 at 3:17 AM, arvind kumar <arvindk...@gmail.com> wrote:
> ya ya,realy sorry..typo!its MEMOIZATION.
>
> On Mon, Oct 10, 2011 at 10:56 PM, Ankur Garg <ankurga...@gmail.com> wrote:
>
>> Memoization ?
>>
>>
>> On Mon, Oct 10, 2011 at 6:34 PM, arvind kumar <arvindk...@gmail.com>wrote:
>>
>>> Can anyone tell me how to go about with the memorization technique to
>>> retrieve values from already stored values,in case of eveluating
>>> sequences(fibonacci series,etc).?
>>>
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