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2 votes
0 answers
59 views

Approximately sampling from a discrete unimodal distribution with large support

I have an algorithmic problem and I am curious if a solution is known in the literature, because I cannot find it. I came up with an algorithm of my own, but would be curious if something is known. I ...
user2316602's user avatar
0 votes
0 answers
97 views

Examples of Gaussian randomized algorithms

I've been thinking about algorithms of the form where a quantity $c$ can be viewed as the expectation of some estimator (random variable) $X$ and the expectation is taken over some multivariate ...
user135520's user avatar
2 votes
1 answer
115 views

Property testable in sublinear time in bounded degree graphs but not in general graphs

Is there some natural property that is testable in strongly sublinear time (i.e. $O(n^{1-\epsilon})$ for some $\epsilon > 0$) in bounded-degree graphs but not in general graphs? If not such ...
user2316602's user avatar
0 votes
0 answers
81 views

A variant of randomized co-ordinate descent

Let us consider the following optimization problem. $\mathcal{P} =\{P_1,\cdots,P_n\}$, where $P_i\subset\mathbb{R}^d$. Let $m = max_i\lvert P_i\rvert$. The goal is to find a point $c$ such that ...
Sudipta Roy's user avatar
5 votes
0 answers
177 views

Classification of randomized approximation algorithms

Is there a known classification of randomized approximation algorithms, in the same vein as the distinction between Monte Carlo and Las Vegas algorithms for decision problems? (Or equivalently ...
Bruno's user avatar
  • 4,563
6 votes
2 answers
639 views

Max cut problem between two connected subgraphs

Let $G$ be a connected graph. Consider the problem of finding a partition $G = A \cup B$ into connected subgraphs, so that the cut between $A$ and $B$ is maximized. Is there anything which is known ...
Elle Najt's user avatar
  • 1,479
3 votes
1 answer
217 views

Tighter Probability Bounds

Let $\mathcal{F}$ be a class of binary functions on a probability space $\Omega$. For $f \in \mathcal{F}$, let $P(f) =\mathbb{E}(f(Z))$ and $P_n(f) = \frac{1}{n} \sum_{i=1}^n f(Z_i)$ where $Z_i$'s are ...
xuhafiz's user avatar
  • 33
3 votes
1 answer
321 views

Literature reference for search-BPP

I'm trying to find the first article/paper that the complexity class search-BPP appeared in. Search-BPP, as defined as follows (in [1]): A binary relation $R$ is in search-BPP if there is a ...
rahulmehta95's user avatar
4 votes
2 answers
255 views

Extended version of the paper "Consistent Hashing and Random Trees" with proofs

I've been reading the following paper: David Karger, Eric Lehman, Tom Leighton, Rina Panigrahy, Mathew Levine, Daniel Lewin, "Consistent Hashing and Random Trees: Distributed Caching Protocols for ...
ngub05's user avatar
  • 161
1 vote
0 answers
83 views

"conservative approximate Set Cover"?

We are given a lattice graph $L$, embedded on the plane, and a certain "shape" (a connected, acyclic subgraph $S$ of $L$). The task is to approximately cover $L$ with translated, rotated and flipped ...
ocramz's user avatar
  • 131
11 votes
2 answers
632 views

Lower bound on estimating $\sum_{k=1}^n a_k$ for non-increasing $(a_k)_k$

I'd like to know (related to this other question) if lower bounds were known for the following testing problem: one is given query access to a sequence of non-negative numbers $a_n \geq \dots\geq a_1$ ...
Clement C.'s user avatar
  • 4,491
10 votes
2 answers
319 views

What is the minimum over all distributions of unit vectors of the variance of the dot product of the vectors?

I am trying to find a distribution over $n$ random vectors, say $x_1,\ldots, x_n$, on the $k$-dimensional unit sphere (where $n > k$) that minimizes $\max_{i\neq j} \mathrm{Var}(x_i^T x_j)$ subject ...
peng's user avatar
  • 101
21 votes
1 answer
731 views

A flowchart for concentration bounds

When I teach tail bounds, I use the usual progression: If your r.v is positive, you can apply Markov's inequality If you have independence and also bounded variance, you can apply Chebyshev's ...
Suresh Venkat's user avatar
2 votes
1 answer
159 views

Complexity of determining unique elements of each cycle in a permutation

It is a well known fact that a permutation is a set of cycles, and that one can find all cycles of a permutation in $O(n)$ time, where $n$ is the length of the permutation. But suppose that we know ...
Obinna Okechukwu's user avatar
4 votes
0 answers
191 views

Randomized Parallel Algorithm for Maximal Independent Set

There are a couple of randomized parallel algorithms for the maximal independent set problem, e.g. A Simple Parallel Algorithm for the Maximal Independent Set Problem, A fast and simple randomized ...
Marc Bury's user avatar
  • 1,338
7 votes
1 answer
678 views

Shortest paths perturbation

I have a graph $G=(V,E)$, with positive weights $w_e, e\in E$ on the edges, and I would like to randomly perturb the weights of the edges so that for each pair of distinct vertices $(u,v)$ such that ...
Matteo's user avatar
  • 569
1 vote
2 answers
2k views

Chernoff Bounds for settings with limited dependence

Could someone point me to a way of bounding the tail probability of sums of bernoulli variables each generated by the same distribution but the condition of independence is only partially satisfied. ...
NAg's user avatar
  • 666
5 votes
0 answers
229 views

Distributed algorithms on sets

Given a connected arbitrary network $G = (V,E)$, where $V$ is a set of nodes (processors) and $E$ is the set of edges between the nodes. Each node $v _i$ is assigned a non-empty set $S(v _i)$, where $\...
AJed's user avatar
  • 644
2 votes
1 answer
188 views

Independent iterations in Las Vegas algorithms

In [Randomized Algorithms, Motwani and Raghavan] book, it is stated that the method of independent iterations to reduce the error probability in Monte Carlo algorithms (amplification according to ...
AJed's user avatar
  • 644
28 votes
10 answers
3k views

Probabilistic (randomized) algorithms before "modern" computer science appeared

Edit: I choice the answer with highest score by December 06, 2012. This is a soft question. The concept of (deterministic) algorithms dates back to BC. What about the probabilistic algorithms? In ...
26 votes
1 answer
2k views

Who first proposed using $x^2+y^2 < 1$ Monte Carlo algorithm to calculate Pi?

I'm sure everybody knows of Buffon's needle experiment in the 18th century, that is one of the first probabilistic algorithms to calculate $\pi$. The implementation of the algorithm in computers ...
Jérémie's user avatar
  • 638
0 votes
1 answer
334 views

Maximum Independent Set using Maximal MIS

I want to use multiple runs of maximal independent set (Luby's algorithm) to find a lower bound on the size of maximum independent set. Are there any bounds on the number of times the maximal ...
Graddy's user avatar
  • 153
10 votes
1 answer
557 views

Determine the minimum number of coin-weighings

In the paper On two problems of information theory, Erdõs and Rényi give lower bounds on the minimum number of weighings one must do to determine the number of false coins in a set of $n$ coins. ...
Nicholas Mancuso's user avatar
2 votes
0 answers
483 views

Texts on application of randomized algorithms

as far as I know, Motwani & Raghavan, ”Randomized Algorithms”, Cambridge University Press, 1995 is the standard book for randomized algorithms. This is an excellent theoretical intro. Which is ...
lmsasu's user avatar
  • 121
27 votes
1 answer
927 views

Other applications of Karger-Stein branching amplification?

I just taught the Karger-Stein randomized mincut algorithm in my graduate algorithms class. This is a real algorithmic gem, so I can't not teach it, but it always leaves me frustrated, because I don'...