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7
votes
1answer
158 views

Is the feasible region of this SDP polyhedral?

We have a semidefinite program (SDP) with feasible region containing only a finite number of rank-$1$ matrices. Can we conclude that the feasible region of this SDP is polyhedral? We believe this to ...
2
votes
1answer
65 views

State of the art on approximating quadratic assignment problem

I was wondering what is the state of the art on approximating the quadratic assignment problem (QAP). In particular, I am interested in the following instance. Suppose the $A = (a_{ij}) \in \{0,1\}^{n ...
7
votes
2answers
256 views

what can be solved with semidefinite programming that can't be solved with linear programs?

I'm familiar with linear programs in that they can solve problems with linear objective functions and linear constraints. But what can semidefinite programming solve that linear programs can't? I ...
4
votes
0answers
238 views

Time complexity of standard semidefinite programming solvers

I am interested in exact scaling of the ellipsoid method and interior point methods for solving SDPs. (I am not interested in algorithms like multiplicative weights updates method.)
20
votes
1answer
383 views

Is there a polynomial time algorithm to determine if the span of a set of matrices contains a permutation matrix?

Precisely what the title says, I'm looking to find a polynomial time algorithm that given some set of matrices, will find if their span contains a permutation matrix. If any one knows if this ...
13
votes
1answer
278 views

Polynomial speedups with algorithms based on semidefinite programming

This is a followup of a recent question asked by A. Pal: Solving semidefinite programs in polynomial time. I am still puzzling over the actual running time of algorithms that compute the solution of ...
11
votes
1answer
391 views

Solving semidefinite programs in polynomial time

We know that linear programs (LP) can be solved exactly in polynomial time using the ellipsoid method or an interior point method like Karmarkar's algorithm. Some LPs with super-polynomial ...
2
votes
1answer
789 views

Using MATLAB's CVX Package for Semidefinite Programming in Quantum Information

I'm attempting to formulate the semidefinite programs used in the paper "Hedging Bets with Correlated Quantum Strategies" (specifically those on page 7) into CVX so that I can play around with the ...
2
votes
0answers
182 views

SDP Feasibility

I have a decision problem that I have formulated as a feasibility SDP. The answer to the decision problem depends on whether the SDP is feasible or not. It is known that a SDP can be solved to ...
5
votes
0answers
228 views

Approximating the diameter of a convex set defined by semidefinite constraints

A convex subset $C$ of $\mathbb{R}^{n^2}$ is given as the set of positive semidefinite $n\times n$ matrices whose coefficients fulfill some affine equations. Now, if you want to minimize a linear ...
6
votes
1answer
375 views

SDP and chromatic number upper bounds

Are there any references for finding non-trivial upper bounds to chromatic number using semidefinite programming?
4
votes
1answer
405 views

Analytic solutions in Semi-Definite Programming

From my experience in the application of Semi-definite programming (SDP) to quantum information, I have learnt that the solution to an SDP can sometimes be expressed as an analytic formula. For ...
3
votes
0answers
152 views

The Quality of SDP relaxation on MaxCut

My question is: given a maxcut instance, if it costs too much to solve it to optimal practically but we can get an optimal solution of SDP relaxation quickly, can we assess the quality of this SDP ...
8
votes
1answer
384 views

Systematic studies of sum of quadratic polynomials squared

I'm wondering if there exists systematic studies of sums of quadratic forms squared, similar to the quadratic forms, which is practically reflected in eigenvalue decomposition (that has huge practical ...
23
votes
2answers
663 views

What classes of mathematical programs can be solved exactly or approximately, in polynomial time?

I am rather confused by the continuous optimization literature and TCS literature about which types of (continuous) mathematical programs (MPs) can be solved efficiently, and which cannot. The ...
2
votes
0answers
126 views

Gram matrix of Max-Cut relaxation

It seems that Goemans and Williamson give a unique representation for each graph of the semidefinite relaxation (elements $y_{ij}$ of Y). However, semidefinite programming may give the same maximum ...
2
votes
1answer
682 views

condition to make an adjacency matrix positive semidefinite

I would like to ask how can we transform an adjacency matrix of a graph into a positive semidefinite matrix. Of course, we could set self loops, but I do not know of any result indicating how we can ...
1
vote
0answers
127 views

Unit distance representation of a graph through Semidefinite Programming

I would like to ask on the number of different drawings of the unit distance representation of a graph, found through a semidefinite program (see www.cs.elte.hu/~lovasz/semidef.ps , p. 20-22). Since ...
1
vote
0answers
342 views

Optimal value of a Semidefinite Program

Is a local optimum value of a SDP always the global one? If not, what are the conditions for that. Thanks
7
votes
2answers
461 views

SDP relaxation of independent set

I'm looking at page 28 of Lovasz "Semidefinite programs and combinatorial optimization" and it gives the following approximation of independence number of the graph $$\max u' Z u$$ subject to ...
30
votes
1answer
856 views

Toy Examples for Plotkin-Shmoys-Tardos and Arora-Kale solvers

I would like to understand how the Arora-Kale SDP solver approximates the Goemans-Williamson relaxation in nearly linear time, how the Plotkin-Shmoys-Tardos solver approximates fractional "packing" ...
3
votes
1answer
341 views

Applications and benchmarks for binary quadratic program algorithms

I have an algorithm that on all examples I was running finds an arbitrary approximation of global minimum of binary quadratic program. The algorithm find the minimum in polynomial time. Binary ...
22
votes
3answers
557 views

Educational Source or Survey on Analysis of Semidefinite Program?

When designing approximation algorithms one sometimes solves a semidefinite program followed by a rounding step. An often used example to illustrate this is Max-Cut. (See e.g. Approximation Algorithms ...
7
votes
2answers
464 views

Techniques for proving bounds on integrality gap in LP(SDP)

A reference to techniques for proving that the size of an integrality gap is bounded by some expression for a particular LP(or SDP, but less important) is needed. Also it would be nice to have a ...