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Does the problem of P vs NP come under the category of Operational Research?
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Does the problem of P vs NP come under the category of Operational Research?
Computational complexity to compute an IISAlgorithmic gap for Hochbaum's (greedy) algorithm for (metric) uncapacitated facility locationAre there any efficient algorithms to solve the longest path problem in networks with cycles?When is the original BFGS algorithm still better than the Limited-Memory version?maximum eigenvalue across subsamplesModelling resource dependency in the assignment problemFinding an optimal set without forbidden subsetsDoes the “prize-collecting shortest path problem” exist?Finding minimum time for vehicle to reach to its destinationComplexity of verifying optimality in (mixed) integer programming
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I am enrolled in an Operational Research program. I am also interested in Algorithms, and I wish to know whether "P vs NP" is a common point in both of the fields, so that the effort put in understanding this problem forwards me in both directions.
algorithms computational-complexity open-problems
New contributor
Vikranth Inti is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
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add a comment |
$begingroup$
I am enrolled in an Operational Research program. I am also interested in Algorithms, and I wish to know whether "P vs NP" is a common point in both of the fields, so that the effort put in understanding this problem forwards me in both directions.
algorithms computational-complexity open-problems
New contributor
Vikranth Inti is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
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X-posted: math.stackexchange.com/q/3310472/339790
$endgroup$
– Rodrigo de Azevedo
50 mins ago
add a comment |
$begingroup$
I am enrolled in an Operational Research program. I am also interested in Algorithms, and I wish to know whether "P vs NP" is a common point in both of the fields, so that the effort put in understanding this problem forwards me in both directions.
algorithms computational-complexity open-problems
New contributor
Vikranth Inti is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
I am enrolled in an Operational Research program. I am also interested in Algorithms, and I wish to know whether "P vs NP" is a common point in both of the fields, so that the effort put in understanding this problem forwards me in both directions.
algorithms computational-complexity open-problems
algorithms computational-complexity open-problems
New contributor
Vikranth Inti is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
Vikranth Inti is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
edited 7 hours ago
Marco Lübbecke
2,0983 silver badges27 bronze badges
2,0983 silver badges27 bronze badges
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asked 8 hours ago
Vikranth IntiVikranth Inti
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192 bronze badges
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New contributor
Vikranth Inti is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$begingroup$
X-posted: math.stackexchange.com/q/3310472/339790
$endgroup$
– Rodrigo de Azevedo
50 mins ago
add a comment |
$begingroup$
X-posted: math.stackexchange.com/q/3310472/339790
$endgroup$
– Rodrigo de Azevedo
50 mins ago
$begingroup$
X-posted: math.stackexchange.com/q/3310472/339790
$endgroup$
– Rodrigo de Azevedo
50 mins ago
$begingroup$
X-posted: math.stackexchange.com/q/3310472/339790
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– Rodrigo de Azevedo
50 mins ago
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4 Answers
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The short answer is yes, operations researchers care a lot about P vs NP. We deal in algorithms, and the complexity of those algorithms matters a lot to us.
The title of your question suggests you are asking whether P-vs-NP is contained within OR (although the body of your question does not). I would not say that P-vs-NP is contained within OR; rather, it is a topic that is of interest to operations researchers, computer scientists, mathematicians, and others.
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add a comment |
$begingroup$
I can't help pointing to the traveling salesman movie.
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add a comment |
$begingroup$
P vs. NP may come "under" the category of Operational Research (O.R.). But unlike theoretical computer science and algorithm analysis, in which P vs. NP may be a be all and end all, practical (non-academic) O.R. people are not necessarily fixated on it.
In some circles, NP Hard is essentially considered to mean unsolvable. However, there are several commercial MILP (Mixed Integer Linear Programming) vendors whose entire business model is predicated on the ability and success of their customers to routinely solve NP Hard problems of practical business significance - that is O.R. in action.
$endgroup$
add a comment |
$begingroup$
As mentioned by others, OR is definitely involved in the P vs. NP issue. If you can find a polynomial time algorithm to solve the Quadratic Assignment Problem or the TSP which Marco mentioned, both of which are essentially OR problems, then you can say P = NP.
But, the P vs. NP issue is not strictly “under” OR because there are other fields which are closely intertwined with the “debate” (pure math, applied math, computer science).
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add a comment |
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4 Answers
4
active
oldest
votes
4 Answers
4
active
oldest
votes
active
oldest
votes
active
oldest
votes
$begingroup$
The short answer is yes, operations researchers care a lot about P vs NP. We deal in algorithms, and the complexity of those algorithms matters a lot to us.
The title of your question suggests you are asking whether P-vs-NP is contained within OR (although the body of your question does not). I would not say that P-vs-NP is contained within OR; rather, it is a topic that is of interest to operations researchers, computer scientists, mathematicians, and others.
$endgroup$
add a comment |
$begingroup$
The short answer is yes, operations researchers care a lot about P vs NP. We deal in algorithms, and the complexity of those algorithms matters a lot to us.
The title of your question suggests you are asking whether P-vs-NP is contained within OR (although the body of your question does not). I would not say that P-vs-NP is contained within OR; rather, it is a topic that is of interest to operations researchers, computer scientists, mathematicians, and others.
$endgroup$
add a comment |
$begingroup$
The short answer is yes, operations researchers care a lot about P vs NP. We deal in algorithms, and the complexity of those algorithms matters a lot to us.
The title of your question suggests you are asking whether P-vs-NP is contained within OR (although the body of your question does not). I would not say that P-vs-NP is contained within OR; rather, it is a topic that is of interest to operations researchers, computer scientists, mathematicians, and others.
$endgroup$
The short answer is yes, operations researchers care a lot about P vs NP. We deal in algorithms, and the complexity of those algorithms matters a lot to us.
The title of your question suggests you are asking whether P-vs-NP is contained within OR (although the body of your question does not). I would not say that P-vs-NP is contained within OR; rather, it is a topic that is of interest to operations researchers, computer scientists, mathematicians, and others.
answered 8 hours ago
LarrySnyder610LarrySnyder610
4,68311 silver badges59 bronze badges
4,68311 silver badges59 bronze badges
add a comment |
add a comment |
$begingroup$
I can't help pointing to the traveling salesman movie.
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add a comment |
$begingroup$
I can't help pointing to the traveling salesman movie.
$endgroup$
add a comment |
$begingroup$
I can't help pointing to the traveling salesman movie.
$endgroup$
I can't help pointing to the traveling salesman movie.
answered 7 hours ago
Marco LübbeckeMarco Lübbecke
2,0983 silver badges27 bronze badges
2,0983 silver badges27 bronze badges
add a comment |
add a comment |
$begingroup$
P vs. NP may come "under" the category of Operational Research (O.R.). But unlike theoretical computer science and algorithm analysis, in which P vs. NP may be a be all and end all, practical (non-academic) O.R. people are not necessarily fixated on it.
In some circles, NP Hard is essentially considered to mean unsolvable. However, there are several commercial MILP (Mixed Integer Linear Programming) vendors whose entire business model is predicated on the ability and success of their customers to routinely solve NP Hard problems of practical business significance - that is O.R. in action.
$endgroup$
add a comment |
$begingroup$
P vs. NP may come "under" the category of Operational Research (O.R.). But unlike theoretical computer science and algorithm analysis, in which P vs. NP may be a be all and end all, practical (non-academic) O.R. people are not necessarily fixated on it.
In some circles, NP Hard is essentially considered to mean unsolvable. However, there are several commercial MILP (Mixed Integer Linear Programming) vendors whose entire business model is predicated on the ability and success of their customers to routinely solve NP Hard problems of practical business significance - that is O.R. in action.
$endgroup$
add a comment |
$begingroup$
P vs. NP may come "under" the category of Operational Research (O.R.). But unlike theoretical computer science and algorithm analysis, in which P vs. NP may be a be all and end all, practical (non-academic) O.R. people are not necessarily fixated on it.
In some circles, NP Hard is essentially considered to mean unsolvable. However, there are several commercial MILP (Mixed Integer Linear Programming) vendors whose entire business model is predicated on the ability and success of their customers to routinely solve NP Hard problems of practical business significance - that is O.R. in action.
$endgroup$
P vs. NP may come "under" the category of Operational Research (O.R.). But unlike theoretical computer science and algorithm analysis, in which P vs. NP may be a be all and end all, practical (non-academic) O.R. people are not necessarily fixated on it.
In some circles, NP Hard is essentially considered to mean unsolvable. However, there are several commercial MILP (Mixed Integer Linear Programming) vendors whose entire business model is predicated on the ability and success of their customers to routinely solve NP Hard problems of practical business significance - that is O.R. in action.
answered 7 hours ago
Mark L. StoneMark L. Stone
2,8876 silver badges26 bronze badges
2,8876 silver badges26 bronze badges
add a comment |
add a comment |
$begingroup$
As mentioned by others, OR is definitely involved in the P vs. NP issue. If you can find a polynomial time algorithm to solve the Quadratic Assignment Problem or the TSP which Marco mentioned, both of which are essentially OR problems, then you can say P = NP.
But, the P vs. NP issue is not strictly “under” OR because there are other fields which are closely intertwined with the “debate” (pure math, applied math, computer science).
$endgroup$
add a comment |
$begingroup$
As mentioned by others, OR is definitely involved in the P vs. NP issue. If you can find a polynomial time algorithm to solve the Quadratic Assignment Problem or the TSP which Marco mentioned, both of which are essentially OR problems, then you can say P = NP.
But, the P vs. NP issue is not strictly “under” OR because there are other fields which are closely intertwined with the “debate” (pure math, applied math, computer science).
$endgroup$
add a comment |
$begingroup$
As mentioned by others, OR is definitely involved in the P vs. NP issue. If you can find a polynomial time algorithm to solve the Quadratic Assignment Problem or the TSP which Marco mentioned, both of which are essentially OR problems, then you can say P = NP.
But, the P vs. NP issue is not strictly “under” OR because there are other fields which are closely intertwined with the “debate” (pure math, applied math, computer science).
$endgroup$
As mentioned by others, OR is definitely involved in the P vs. NP issue. If you can find a polynomial time algorithm to solve the Quadratic Assignment Problem or the TSP which Marco mentioned, both of which are essentially OR problems, then you can say P = NP.
But, the P vs. NP issue is not strictly “under” OR because there are other fields which are closely intertwined with the “debate” (pure math, applied math, computer science).
answered 7 hours ago
dxbdxb
5531 silver badge13 bronze badges
5531 silver badge13 bronze badges
add a comment |
add a comment |
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X-posted: math.stackexchange.com/q/3310472/339790
$endgroup$
– Rodrigo de Azevedo
50 mins ago