Hi Amit,

it is not proven that a ternary-search-tree is faster:

> http://nicolas.lehuen.com/category/pytst/

>From the article: The difference between pytst and ctst

>This gives 11 nodes for 7 strings. I won’t waste time to draw the ternary 
>search tree equivalent, so you’ll have to trust me, but you would need at 
>least 25 nodes. Of course the node don’t >contain the same things, but the 
>payload/overhead ratio is highly in favor of ctst.

Maybe it is a little faster but it has a bigger space consumption.


On Aug 17, 12:24 am, Amit Jaspal <amitjaspal...@gmail.com> wrote:
> http://www.ahhf45.com/info/Data_Structures_and_Algorithms/resources/t...
>
> Refer this link.
>
>
>
> On Mon, Aug 16, 2010 at 10:29 PM, Chi <c...@linuxdna.com> wrote:
> > I'm not sure what you want. I have post a solution to search for
> > wildcards in tries. Now you claim to do it better with TS-Trees. Do
> > you know who to compute a reverse TS-Tree? And why don't you try first
> > to code a radix-tree, which is a compressed trie and build then the
> > reverse radix-tree? Here is a solution to code a radix-tree, crit-bit-
> > tree, pat-tree with mininmal understanding of comupter science:
>
> > >http://www.codeproject.com/KB/string/pat_and_huff.aspx
>
> > IMHO I'm not sure why a Ternary-Search-Tree should be faster then a
> > Radix-Tree? If a radix tree is already a binary-tree version of the
> > trie, then can you explain me the advantage of a ternary-search-tree?
>
> > On Aug 15, 8:31 pm, Amit Jaspal <amitjaspal...@gmail.com> wrote:
> > > Seems a gud idea .
> > > I have read we can do better with Ternary Search Trees .Can anybody has
> > any
> > > idea about it?
>
> > > On Sun, Aug 15, 2010 at 11:44 PM, Chi <c...@linuxdna.com> wrote:
> > > > What you may need is a reverse trie. You may take a look at this:
>
> > > > >http://phpir.com/tries-and-wildcards
>
> > > > On Aug 15, 3:21 pm, amit <amitjaspal...@gmail.com> wrote:
> > > > > In our indexes, we have millions of URLs each of which has a link to
> > > > > some page contents, that is, URL->contents. Now, suppose a user types
> > > > > a query with wild cards *, which represent 0 or multiple occurrences
> > > > > of any characters, how do you build the indexes such that such a type
> > > > > of query can be executed efficiently by finding all corresponding
> > > > URLs->contents efficiently. For example, given a queryhttp://www.*o*ve*
> > > > ou.com.
>
> > > > > You need to find iloveyou.com, itveabcu.com, etc.
>
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> > > Amit Jaspal
> > > Btech IT IIIT- Allahabad
>
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> --
> Amit Jaspal
> Btech IT IIIT- Allahabad

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