[algogeeks] Re: Minimum ladders required

2010-10-01 Thread Gönenç Ercan
It is the maximum number of overlapping flights. Sort the all the
times in a single array, increment a counter when a plane lands,
decrement when it flies.

The other algorithm I think can be by assigning the maximum number of
flights to different ladders until all flights are assigned. To assign
a ladder maximum number of flights, sort with respect to fly times
(finish), assign the first compatible flight (not lands before last
assigned flight flies). After processing all the flights if there are
more unassigned flights, than you add a ladder and repeat the process.
Both algorithms are linear, but if you also need a ladder assignment
this might work for you.

On Oct 1, 2:48 pm, Dave dave_and_da...@juno.com wrote:
 You need to move from one arrival-or-departure-time to another in
 order throughout the day. An arrival means that another ladder is put
 into use, while a departure takes a ladder out of use. Here is an
 efficient algorithm to do that:

 Form a min-heap of the arrival times. Include the departure time and a
 flag in the heap as to whether the heap condition is based on the
 arrival time or a departure time. (See below)

 Set number_of_ladders_in_use = 0, number_of_ladders_required = 0.

 Loop until the heap is empty:
     Look at the top heap item.
     If it is an arrival time:
         Increment number_of_ladders_in_use.
         number_of_ladders_required = max(number_of_ladders_required,
 number_of_ladders_in_use).
         Replace the arrival time by the departure time and set the
 flag accordingly.
         Restore the min-heap condition (see below).
     Else // it is a departure time
         Decrement number_of_ladders_in_use.
         Delete the top entry in the min-heap.
         Restore the min-heap condition (see below).

 When the heap is empty, number_of_ladders_required is the minimum
 number of ladders required.

 Note: When restoring the min-heap condition, break ties between
 identical arrival and departure times based on whether the ladder can
 be moved instantly from one plane to another. E.g., if a plane departs
 at noon and another arrives at noon, put the departure first in the
 heap if the same ladder can be used for both, but put the arrival
 first if it takes time to move the ladder from one plane to another,
 in which case the same ladder cannot be used.

 Dave

 On Oct 1, 5:31 am, mac adobe macatad...@gmail.com wrote:

  correcting ... Its minimum numbers of ladders required

   Please suggest how you think for this problem
   Suppose you have many airplanes . Each plane needs a ladder so
   that people can board the plane easily .
   Now plane will land at time land_time and then fly away again at fly_time .
   During this time , people will continue to board the plane and the
   ladder should remain attached to the plane. So if plane lands at 3 am and
   fly at 3 pm , we need a ladder from 3 am to 3 pm dedicated for that plane.
   Given land_time and  fly_time of multiple planes in a day , find the
  minimum
   number of ladders your require .

   --mac

  On Fri, Oct 1, 2010 at 3:56 PM, Yan Wang wangyanadam1...@gmail.com wrote:
   I think your question should be to find the minimum number of ladders
   required.

   This is a very classic Greedy-Algorithm solved problem. Please refer
   to Chapter 4 of book Algorithm Design.

   On Fri, Oct 1, 2010 at 2:32 AM, mac adobe macatad...@gmail.com wrote:
Hi
Please suggest how you think for this problem
Suppose you have many airplanes . Each plane needs a ladder so
that people can board the plane easily .
Now plane will land at time land_time and then fly away again at 
fly_time
   .
During this time , people will continue to board the plane and the
ladder should remain attached to the plane. So if plane lands at 3 am 
and
fly at 3 pm , we need a ladder from 3 am to 3 pm dedicated for that
   plane.
Given land_time and  fly_time of multiple planes in a day , find the
   minimum
number of ladders your require .

--mac

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[algogeeks] Re: How will you find the subarray whose product is k in an array of negative and positive numbers

2010-10-01 Thread Minotauraus
Well, instead of continuously storing the maximum product, you try to
equate the product to k,
if and when you do, you've found your sub array. To make it faster you
can add another condition
that when the product  k, stop and move to the next element (provided
you've sorted the elements first)

I can't see a way to do this in O(n). Anyone?

On Sep 30, 4:57 pm, abhishek singh iiita2007...@gmail.com wrote:
 @ Minotauraus
 *
 *
 *but here we are not going to find maximum product subarray, we are finding
 here the subarray whose product is k.
 *
 correct me if i am wrong









 On Thu, Sep 30, 2010 at 9:35 PM, Minotauraus anike...@gmail.com wrote:
  I guess you could use Kadane's algo replacing addition with
  multiplication.
 http://en.wikipedia.org/wiki/Maximum_subarray_problem

  On Sep 30, 8:08 am, Abhishek Kumar Singh iiita2007...@gmail.com
  wrote:
   How will you find the subarray whose product is k in an array of
   negative and positive numbers

   efficient algorithm is to be considered, it will be better if time
   complexity is O(n)

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[algogeeks] Re: Hash Table Design

2010-10-01 Thread ligerdave
First, if you have a set of unique usernames, those could be used to
be keys. How to generate hash is depends on your requirements. You can
add a few prefix chars or postfix

On Sep 30, 2:45 pm, amit amitjaspal...@gmail.com wrote:
 Design a hash table to store phone #s. Your job is to write a hash
 function that has a parameter username, and generate a key. Username
 is unique, length 5 and can be A-Z, 0-9, space. Write a hash function
 that generate keys without collisions and use minimum memory.

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Re: Fwd: [algogeeks] Prim's algorithm using min heap

2010-10-01 Thread Soundar
i couldn't find any link here.

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Re: Fwd: [algogeeks] Prim's algorithm using min heap

2010-10-01 Thread Chi
That's kind of a nice hint. Rather then asking: Where is the link!?

On Oct 1, 7:10 pm, Soundar soundha...@gmail.com wrote:
 i couldn't find any link here.

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[algogeeks] Re: Hash Table Design

2010-10-01 Thread Gönenç Ercan
Use a trie, the memory needed will be less than having a list of
strings and it will be faster than hashTable (array implementation of
trie). Check Trie in Wikipedia. If the datastructure is going to be
static, then using a Directed acyclic finite automata (dafsa) may be
even better.

On Sep 30, 9:45 pm, amit amitjaspal...@gmail.com wrote:
 Design a hash table to store phone #s. Your job is to write a hash
 function that has a parameter username, and generate a key. Username
 is unique, length 5 and can be A-Z, 0-9, space. Write a hash function
 that generate keys without collisions and use minimum memory.

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