ORIE 6334 Spectral Graph

نویسنده

  • David P. Williamson
چکیده

We can give a sketch of the algorithm below. Recall that, given a tree T and a flow f , the tree-defined potentials are p(r) = 0 for a selected root vertex r and p(i) = ∑ (k,l)∈P (i,r) r(k, l)f(k, l), where P (i, r) is the directed (i, r) path in T . Recall also that any electrical flow obeys both the Kirchoff Current Law (KCL, or flow conservation) and the Kirchoff Potential Law (KPL), which says that ∑ (i,j)∈C r(i, j)f(i, j) = 0 for any directed cycle C. The algorithm will work by maintaining a flow f that obeys KCL, and will keep picking cycles and fixing the flow so that it obeys KPL on the cycle. The algorithm is as follows:

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

ORIE 6334 Spectral Graph Theory December 1 , 2016 Lecture 27 Remix

The proof of the theorem uses a SDP relaxation in terms of vectors vi ∈ Rn for all i ∈ V . Define distances to be d(i, j) ≡ ‖vi − vj‖ and balls to be B(i, r) ≡ {j ∈ V | d(i, j) ≤ r}. We first showed that if there exists a vertex i ∈ V such that |B(i, 1/4)| ≥ n/4, then we can find a cut of sparsity ≤ O(1) ·OPT . If there does not exist such a vertex in V , then we can find U ⊆ V with |U | ≥ n/2 ...

متن کامل

Orie 6334 Spectral Graph Theory Lecture 8

We also saw that λ2 = minR(y). The issue is that we may have vol(St) > vol(V −St). To fix this, we will modify y so that vol(supp(y)) ≤ m (recall that vol(V ) = 2m). The idea is to pick c such that the two sets {i : y(i) < c} and {i : y(i) > c} both have volume at most m, then find St for both of them and take the best one. This lecture is derived from Lau’s 2012 notes, Week 2, http://appsrv.cs...

متن کامل

ORIE 6334 Spectral Graph Theory

Theorem 1 (Arora, Rao, Vazirani, 2004) There is an O( √ log n)-approximation algorithm for sparsest cut. The proof of the theorem uses a SDP relaxation in terms of vectors vi ∈ Rn for all i ∈ V . Define distances to be d(i, j) ≡ ‖vi − vj‖ and balls to be B(i, r) ≡ {j ∈ V | d(i, j) ≤ r}. We first showed that if there exists a vertex i ∈ V such that |B(i, 1/4)| ≥ n/4, then we can find a cut of sp...

متن کامل

Orie 6334 Spectral Graph Theory Lecture 21

Just like matrix Chernoff bounds were a generalization of scalar Chernoff bounds, the multiplicative weights algorithm can be generalized to matrices. Recall that in the setup for the multiplicative weight update algorithm, we had a sequence of time steps t = 1, . . . , T ; in each time step t, we made a decision i ∈ {1...N} and got a value vt(i) ∈ [0, 1]. After we made a decision in time step ...

متن کامل

Orie 6334 Spectral Graph Theory 1 Approximate Potentials from Approximate Flow

E[E(fk)− E(f∗)] ≤ ( 1− 1 τ )k (stT (G)− 1)E(f∗) ≤ e− ln(stT (G)τ/ (stT (G)− 1)E(f∗) ≤ τ E(f∗), where the inequality 1− x ≤ e−x is used in the second step. In the following, we will see how to bound the error between the obtained approximate potentials pk and the desired potentials p∗ = L + Gb based on the above bound on energy. Denote ‖x‖L = √ xLGx. We want to show that ‖pk − p∗‖L ≤ ‖p∗‖L, This...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2016