So you are faster in this case. You should run more tests on various sparse 
graphs.

Le vendredi 13 mars 2020 15:11:04 UTC+1, Suraj Modi a écrit :
>
> [image: giveninstance.png]
> Thanks for reply sir for the given instance 
>
> On Friday, March 13, 2020 at 7:34:29 PM UTC+5:30, David Coudert wrote:
>>
>> can you try for instance with
>>
>> sage: G = DiGraph(*2*)
>>
>> sage: *while* not G.is_strongly_connected():
>>
>> ....:     G = digraphs.RandomDirectedGNP(*1000*, *0.008*)
>>
>>
>>
>>
>> Le vendredi 13 mars 2020 14:53:30 UTC+1, Suraj Modi a écrit :
>>>
>>> Thanks, everyone,
>>> After going through [d1][d2][d3] papers and implementation, Previous 
>>> sage implemented algorithms work still faster than the new algorithm and 
>>> also the performance. The new algorithm works for directed sparse graphs 
>>> but its performance is comparable to previous algorithms.
>>>                                                                         
>>>                                                          
>>>
>>> [image: example.png]I am trying to optimize the algorithm and in my 
>>> implementation, I have displayed some extra information. Looking for 
>>> further suggestions and a path to follow to optimize further.Thanks and 
>>> Regards, Suraj Modi
>>>
>>

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