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Questions tagged [online-algorithms]

Questions about algorithms that receive the input piecewise and have to make decisions, that is produce output, before having seen the whole input.

2 votes
2 answers
267 views

In fields such as game theory and reinforcement learning, it is standard to consider the regret-minimization strategy. I don't get the motivation for the definition. Yes, doing your best under worst-...
Amit Keinan's user avatar
3 votes
3 answers
212 views

Given a sequence of intervals $I_1, I_2, \ldots$, is there an efficient way to detect whether some interval $I_i$ is completely contained in the union of the preceding intervals $I_1, \ldots, I_{i-1}$?...
MattDs17's user avatar
  • 163
1 vote
0 answers
43 views

Is there any algorithms like Reed Solomon that work for a stream of unknown data? The stream is finite but size is unknown until the stream ends. I found some information about sliding window reed-...
Miguel Ping's user avatar
0 votes
2 answers
102 views

Is it possible for an online algorithm to perform better than the optimal solution for the offline version of a problem, and if so, in what circumstances? Doesn't competitive ratio rely on the fact ...
user592993's user avatar
0 votes
0 answers
97 views

I am starting to learn online algorithms but am still stuck in determining the competitive ratio. I cannot understand how to find it. All the research papers are so difficult to understand. Please ...
Michaylor Riya's user avatar
3 votes
2 answers
222 views

Consider a sequence of vertex and edge additions and removals to an initially empty (undirected, simple) graph. Is it possible to update the ordered list of vertex degrees in constant time (and space),...
Matthieu Latapy's user avatar
3 votes
0 answers
158 views

The half-sample mode is a mode estimator that homes in on the highest density region of a set of samples in search of the mode. It is one of the better mode estimators, though it fails for J-shaped ...
Paul Chernoch's user avatar
1 vote
0 answers
57 views

Edit 3/14 to refer to textbook question: I am trying to understand the concept of external regret better, and am working through the Nisan et al. (eds.) Algorithmic Game Theory book (https://www.cs....
Andreas Haupt's user avatar
6 votes
1 answer
1k views

A graph $\mathcal{G}=(\mathcal{V},\mathcal{E})$ may be represented in central memory as follows: an associative array (hash table) $V$ gives for any $v\in \mathcal{V}$ the list of its neighbors $V[v]$...
Matthieu Latapy's user avatar
0 votes
1 answer
155 views

I came across the following family of online problems: Given a sequence of values of length n, the maximum value and the minimum value of the sequence, our goal: Given min and max, we want to find a ...
user206904's user avatar
2 votes
0 answers
59 views

Given $n$ tuples $(k_i >0,a_i >0)$, is there any efficient algorithm that can dynamically track $$ \max_{i=1,\cdots,n} \left\{k_i\left(\sum_{j=1}^n a_j\right) - a_i\right\} $$ in response to ...
Chengyuan Ma's user avatar
1 vote
0 answers
110 views

Currently studying the following paper: "Fair Allocation in Online Markets" - Gollapudi and Panigrahi 2014 In which they present Theorem 2 as a hardness result for online maxmin matchings (...
user143196's user avatar
3 votes
0 answers
53 views

Featherstitch (Frost et al., 2007) is an approach for representing data consistency requirements for disk storage. This question concerns a graph-theoretic problem (§4.1 in the paper) that its ...
Alex Shpilkin's user avatar
2 votes
1 answer
114 views

I have a tree on $n$ vertices. Your goal is to find the adjacency list for it. $n$ is known to you from the start. You can pick a vertex and ask for the lengths of the shortests paths from it to the ...
mjb's user avatar
  • 21
1 vote
0 answers
56 views

I understand what is derivative-free optimization, and I am thinking a similar problem where the function $f$ we are optimizing is unknown and the only information we can acquire is the derivative. In ...
Francis's user avatar
  • 75

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