Questions tagged [randomized-algorithms]
An algorithm whose behaviour is determined by its input and a generator producing uniformly random numbers.
179
questions
4
votes
0answers
145 views
Concentration Bounds for Dependent Rounding
Consider the following random process which is defined on $n$ numbers $0\leq x_1,\ldots,x_n\leq 1$:
At each step, pick an arbitrary number, say $x_i$. Then randomly (and independently) change its ...
4
votes
0answers
193 views
Type-and-effect systems, stochasticism and effect squelching: how about quicksort?
There's a feature of Haskell's type system which bugs me: you can't implement a randomized sorting algorithm without the use of randomness spilling out into all of its callers. That seems undesirable....
3
votes
1answer
225 views
Coupon collector - the effect of randomization
Given a set $S = \{1, ..., n\}$, an element is randomly drawn with replacement from $S$. Let's say we got the following sequence $X = \{x _1, ..., x _k\}$ until all elements of $S$ are seen, where $x ...
3
votes
1answer
103 views
Quick Sampling from Probability Distribution: Is there a name for this algorithm?
I'm trying to quickly sample from a near-uniform discrete probability distribution exactly once without calculating the entire CDF. Here's the algorithm.
Givens:
$N,$ the number of elements to ...
3
votes
1answer
131 views
Binary search on coin heads probability
Let $f:[0,1] \to [0,1]$ be a smooth, monotonically increasing function. I want to find the smallest $x$ such that $f(x) \ge 1/2$.
If I had a way to compute $f(x)$ given $x$, I could simply use ...
3
votes
3answers
350 views
Random grid point in a d-dimensional ball
I would like to know if there is any standard algorithm to generate
a random grid point inside a d-dimensional ball with a given radius r.
Thanks
Bin Fu
3
votes
1answer
71 views
What is the maximal load of a “latency-bounded” Cuckoo Hash?
Cuckoo Hashing is a method for storing key-value stores (or just a set of keys) with a constant worst-case lookup time.
They use two hash functions $h_1,h_2:\mathbb K\to [n]$, where $\mathbb K$ is ...
3
votes
1answer
196 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 ...
3
votes
1answer
164 views
Lower bound on probability of getting two close points in a sample of $n$ points
Let $D\subseteq \mathbb{R}^k$. Assume that $Pr_{u,v\leftarrow U_D}[|u-v| <B]>p$ for some $B,p$, where $|u-v|$ is the L1 distance of the vectors.
$S\subseteq D$ is obtained by sampling $n$ ...
3
votes
1answer
999 views
Approximate Maximum Weight Matching
I am looking for an approximated (or randomized) maximum weight matching algorithm. Do you have any suggestion for me?
In my problem, I have a bipartite graph with N abound 1000 (#vertices on each ...
3
votes
1answer
153 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 ...
3
votes
1answer
110 views
Sublinear finite-precision sampling in a stream
I am looking to sample a single item from a stream such that each item in the stream has an equal probability of being selected. This is a restricted version of the reservoir sampling problem.
On a ...
3
votes
1answer
158 views
Intuitive explanation behind Goemans-Williamson randomized rounding
A very simple randomized cut algorithm achieves $1/2$ of the optimal value: just choose each vertex to be in the cut with probability $1/2$, independently. Goemans-Williamson does something more ...
3
votes
2answers
173 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 ...
3
votes
0answers
66 views
Uniformly sampling or counting connected graph partitions with any number of blocks
Question: Is it possible to uniformly sample in polynomial time from the set of all connected partitions of a graph? Or is there a JVV type argument that proves this to be NP-hard?
To clarify: By a ...
3
votes
0answers
347 views
Generating a random connected bipartite graph
A (n, m, k)-bipartite graph is a bipartite graphs with:
independent sets of size $\{n, m\}$
a total of $k \geq n+m-1$ edges
We want an algorithm to generate a (n, m, k)-bipartite selected uniformly ...
3
votes
0answers
107 views
Number theoretic problems complete for $\mathsf{RL}$
Are there number theoretic problems (such as those related to $\mathsf{gcd}$) that are in $\mathsf{RL}$?
Can these also be $\mathsf{RL}$-complete problems (is there any $\mathsf{RL}$-complete ...
3
votes
0answers
194 views
Probabilistic sorting given pairwise comparison probability
Let $X = \{x_1, \dots, x_n\}$ be a set, and $f:[1..n]^2 \to [0, 1]$ be a function, such that
$$f(i, j) \cdot f(j, k) \le f(i, k)$$
For all $1 \le i, j, k \le n$.
Does there exist a randomized ...
3
votes
0answers
662 views
What is the major difference between PP and RP? [closed]
So according to complexity zoo, the definition of RP is:
The class of decision problems solvable by an NP machine such that
1.If the answer is 'yes,' at least 1/2 of computation paths accept.
2.If ...
3
votes
0answers
284 views
Generating random graphs using the preferential attachment model with degree bounds
I am interested to know the structure of random graphs generated by the preferential attachment model with degree bounds. Specifically, when a vertex is chosen with a probability proportional to its ...
3
votes
0answers
194 views
Randomized rounding on a graph
Assume we are given an arbitrary undirected graph $G = (V, E)$ where $|V| = n$. We are also given real numbers $x_e \in [0, 1]$ for each $e \in E$. These numbers satisfy the following constraint:
\...
3
votes
0answers
283 views
Distinguishing two types of Monte-Carlo algorithms
Recall from Wikipedia that Monte Carlo algorithm is a randomized algorithm whose running time is deterministic, but whose output may be incorrect with a certain (typically small) probability. Consider ...
3
votes
0answers
326 views
Taking Square Roots of Matrices over Z/nZ
Is it easy (computationally) to take square roots of matrices over Z/nZ, if you know the factorization of n? More specifically, suppose I generate a random matrix M, and square it. Can a ...
3
votes
0answers
210 views
What literature exists on Lévy flights for computational search? [closed]
I just finished Albert-László Barabási's popular science book "Bursts: The Hidden Pattern Behind Everything We Do" which describes the Lévy flight as an ideal strategy for finding scarce resources in ...
2
votes
1answer
246 views
Does there exist polytime algorithm for this partitioning problem?
I would like to know if there exists a polytime probablistic algorithm for the problem described below. It is relevant for construction of a crossvalidation-partitioning in statistics, fulfilling ...
2
votes
1answer
159 views
How to use a 𝑝-coin so a TM can decide an undecidable language in polynomial time? [closed]
In "Computational complexity- A modern approach" book (page 117) for the lemma 7.12 (following) the author mentioned that if the ρ is efficiently computable ρ-coin cannot give probabilistic algorithm ...
2
votes
1answer
159 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 ...
2
votes
1answer
253 views
Generate random permutation via iid uniforms — is inverse transformation possible?
A very common technique in the analysis of algorithms involving random permutations is to have each element $x$ select a rank $\rho(x)$ uniformly at random from the real interval $[0,1]$. The ...
2
votes
1answer
73 views
kmeans++ for arbitrary metric spaces and general potential function
I was reading this popular paper "k-means++: The Advantages of Careful Seeding". It appeared in SODA 2007. Since this technique is the most popular clustering technique, I am hoping that my question ...
2
votes
1answer
312 views
Weighted balls and bins
Suppose I have $n$ balls and $n$ bins. Each ball $i$ has weight $w_i$. Let the total weight be $T = \sum_{i=1}^n w_i$. We throw the balls into the bins randomly, i.e., each ball lands into a random ...
2
votes
1answer
138 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 ...
2
votes
1answer
89 views
Robustness to non-uniform randomness vs. one-sidedness
Consider any problem where, fixing two (disjoint) subsets $\mathcal{Y},\mathcal{N}\subseteq \{0,1\}^n$ of the input space, the goal is to obtain a randomized algorithm $D$ which, given a uniformly ...
2
votes
1answer
357 views
Can every distribution producible by a probabilistic PSpace machine be produced by a PSpace machine with only polynomially many random bits?
Let $M$ be a probabilistic Turing machine with a unary input $n$ whose
space is bounded by a polynomial in $n$ and
its output is a distribution $D$ over binary strings.
Note that the number of ...
2
votes
1answer
224 views
Evaluating the expected value of negatively correlated random variables
A polynomial random process satisfying the following properties converts a fractional point $(x_1, x_2, \ldots, x_n) \in \mathcal{P}$, $(x_i \in [0,1])$ to a random integer point $(X_1, X_2, \ldots, ...
2
votes
0answers
410 views
the confusion about 'with high probability (w.h.p.)'
w.h.p. can often be seen in the analysis of randomized algorithms. It's definition can be seen here https://en.wikipedia.org/wiki/With_high_probability. However my confusion is that:
Assuming we ...
2
votes
0answers
204 views
Height of randomly built binary search tree by insert and delete?
In Introduction to algorithm (CLRS), even in its third edition (published in 2009) it is noted in Sec 12.4 that little is known about height of randomly built binary search tree using insert and ...
2
votes
0answers
114 views
What upper bound can we get under 3-wise independence? (comparable edition)
Here is the original question: What bound can we get using $k$-th moment inequality under 3-wise independence? .Yury has given a 3-wise independent example that shows the upper bound is no better than ...
2
votes
0answers
421 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 ...
1
vote
2answers
926 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. ...
1
vote
1answer
659 views
Freivalds matrix multiplication with non binary random vector
Freivalds' algorithm verify matrices (over a field) product $A \times B = C$ by choosing a random binary vector $r$ and verifying if $A(Br)=Cr$ which fails if $AB \neq C$ with probability at most $1/...
1
vote
1answer
92 views
Efficient randomness reduction using k-wise independence
Consider a randomized algorithm with runtime $n$, which succeeds with high probability. The algorithm uses $O(n)$ uniformly random bits.
Now it is given that we can replace these uniformly random ...
1
vote
1answer
59 views
What forms of randomness are 'allowed' in FPRASs?
I cannot seem to find a source describing randomized approximation schemes ((F)PRAS) that tells me exactly what sort of randomness a program is allowed to use. A priori it seems to me that being able ...
1
vote
1answer
56 views
Does the following 2-rounds distributed algorithm approximates a maximal matching well?
Let $G$ be an undirected graph.
I'm looking for a two-rounds distributed algorithm that matches as many vertex pairs as possible.
Consider the following protocol for vertex $v$.
Use a fair coin to ...
1
vote
1answer
118 views
Estimate the maximum frequency of substring with given length in a very long character stream
Suppose there is a very long string $S\in \Sigma^N$ with length $N$, where $\Sigma$ is a relatively small alphabet (for example, $\Sigma=\{'a', 'b', \ldots, 'z'\}$). Now, given a budget $B$, the goal ...
1
vote
1answer
164 views
Randomized and deterministic query complexity of symmetric functions
The deterministic query complexity $D(f)$ of a symmetric function $f$ is $\Omega(n)$ (except for f = 0 or f = 1). I am wondering if the same result holds for the (bounded-error) randomized query ...
1
vote
0answers
61 views
Sampling from a family of hash functions, not uniformly at random?
Many algorithms and data structures assume access to a family of hash functions satisfying some nice property (say, $k$-independence or $k$-universality). In these cases, we usually assume that we ...
1
vote
0answers
63 views
What is the state of the art in first order stochastic convex optimization?
What is the optimally fastest convex risk minimizing algorithm which only uses a stochastic first order oracle? Is this SGD?
What is the optimally fastest convex function minimizing algorithm which ...
1
vote
0answers
79 views
Alternative criterion for approximate maximum-weight perfect matching algorithms
I have asked this question in cs.stackeschange, and it was recommended to me that I asked it here.
Is there any literature on approximate maximum-weight perfect matchings where the approximation ...
1
vote
0answers
51 views
PTAS for projective clustering : survey
$(k,j)$-projective clustering is the natural generalisation for k-clustering, in which one needs to find $k$ $j$-flats in $\mathbb{R}^d$ that minimizes the cost function as defined below:
Given a $j$-...
1
vote
0answers
69 views
Complexity class of approximating perfect match count
We know we can approximate perfect matching count of bipartite and approximate volume of convex bodies in randomized polynomial time.
Is there any evidence these approximations could be in Nick's ...
