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Apr 17, 2021 at 12:28 answer added Leonid timeline score: 1
Apr 24, 2018 at 0:53 answer added Timothy Chow timeline score: 1
Sep 2, 2016 at 14:15 comment added Manfred Weis Just some linear and boolean algebra; actually not too difficult if you have the right ideas.
Sep 2, 2016 at 3:51 comment added Sidharth Ghoshal How were you able to encode the multiplication without effectively encoding the multiplication circuit itself?
Sep 2, 2016 at 3:42 comment added Manfred Weis @frogeyedpeas yes I die; my idea is to express integer multiplication directly (on basis of binary digits) as an ILP; the number of variables would be much less.
Sep 1, 2016 at 17:39 comment added Sidharth Ghoshal I found that even for say 100 digit numbers, solving via 0-1 IP requires on the order of 100,000 variables, and close to a million constraints
Sep 1, 2016 at 17:38 comment added Sidharth Ghoshal @ManfredWeis did you find any conversions of factoring to 0-1IP, that are more efficient than the classical reduction of factoring->CircuitSAT->0-1IP?
Jan 4, 2014 at 16:23 history edited Manfred Weis CC BY-SA 3.0
Added clarification on the kind of desired references
Jan 2, 2014 at 10:54 answer added Manfred Weis timeline score: 1
Jan 2, 2014 at 8:14 comment added Manfred Weis The currently best reference to the complexity of ILP I found, is cstheory.stackexchange.com/questions/16530/…, however no ILP formulation for integer factorization is given; at least it allows it to estimate the complexity for a fixed number of bits.
Dec 30, 2013 at 17:00 review Close votes
Dec 31, 2013 at 12:22
Dec 30, 2013 at 11:36 comment added Manfred Weis @Kaveh maybe you should have read my reply to Dima's appreciated comment - there I clearly say that the LP formulation need not yield a solution to the factoring problem.
Dec 30, 2013 at 8:38 comment added Kaveh And since IP is NP-complete it is also an easy exercise to formulate any NP problem as IP. However the algorithms for IP are exponential time in the worst case and people have tried to various formulations of factoring as IP and studied them. You can try Google to find them. Another thing you can try: try to use your reduction to IP and CPLEX to break RSA factoring challenges.
Dec 30, 2013 at 8:31 comment added Kaveh It is easy to formulate any NP problem as an LP (an undergrad exercise), however if the solutions are not restricted to integral solutions it will not solve the original problem but a relaxation of it. The result will not mean anything if you cannot round the solution of LP to a meaningful integral one.
Nov 5, 2013 at 20:46 review Close votes
Nov 6, 2013 at 13:04
Jul 28, 2013 at 17:36 history edited Manfred Weis CC BY-SA 3.0
reformulated my request and added the reference tag.
Mar 10, 2013 at 6:23 comment added Manfred Weis The LP formulation is essentially the ILP formulation with some additional constraints aiming at reducing the gap between the solution to the relaxed problem and the exact problem; the issue is the same as in solving other combinatorial problems with LP.
Mar 9, 2013 at 17:22 comment added Dima Pasechnik While I could imagine that you might have an ILP reformulation, an LP reformulation would be quite a feat...
Mar 9, 2013 at 16:46 history asked Manfred Weis CC BY-SA 3.0