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.

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difference between using cost vs expectation in competitive ratio

The standard definition defines the ratio as the "cost" for the worst-case input for online algorithm divided by the cost of an offline algorithm that knew the entire input sequence in ...
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3 votes
2 answers
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Sorted degrees and maximal degree in dynamic graphs

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),...
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2 votes
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Algorithm for half-sample mode better than O(N^2)

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 ...
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External regret algorithms playing dominated strategies

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....
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6 votes
1 answer
368 views

Fast and compact data structure for dynamic graphs

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 $V[v]$...
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Does this online problem have a specific name?

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 ...
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2 votes
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Simple efficient algorithm for dynamically maintaining max of special linear functions

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 ...
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1 vote
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Hardness result for online matching

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 (...
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Online cycle detection but not quite: the Featherstitch problem

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 ...
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2 votes
1 answer
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Optimal online algorithm to guess the tree

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 ...
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Applications of derivative only, zeroth-order free optimization

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 ...
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Online algorithm for compressing multiple SETS?

Algorithms like LZW and others compress data sequences. What I'm looking is an algorithm that compress multiple Sets. if possible online algorithm. For example : ...
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Online approximation algorithm for median?

Is there a well-known or (relatively) easily-implementable streaming algorithm for approximating the median of the last, say, $k$ elements of a stream $c_1,c_2,c_3,\dots$? The scenario is: I have a ...
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Which of the following statement is true?

Given two statement: A:if inputs of a problem is online, then there is faster or equal algorithm in view of time complexity for that problem when input is offline. B:if inputs of a problem is offline, ...
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Experts problem with one perfect expert

This question concerns a variant of the 'experts' problem and the randomized weighted majority algorithm that can be used to solve it. This is the description of the problem from Wikipedia: Imagine ...
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How to simulate online matching algorithms (implementation)

I was reading about online algorithms and bipartite matching. I found an implementation that works fine on several websites (like geeksforgeeks). For the online version, I found this paper https://...
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1 vote
1 answer
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How to prove that knapsack has no competitive algorithm

In online knapsack problem, items arrive one by one. Each time an item $i$ arrives, its weight $w_i$ is revealed. We would like to maximize, in an online fashion, the number of items placed in a bin ...
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Is there an online preprocessing algorithm for Range Minimum Queries (RMQ)?

Is there a linear time online version of the preprocessing RMQ algorithm? That is, an algorithm that allows to update the data structure when appending additional elements at the end of the input ...
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What is an optimal online algorithm and how to design it to solve NP-hard problems?

To solve an NP-hard optimization problem optimally, we can use mathematical programming or brute force techniques. I would like to know if it is possible to solve the problem in an online fashion ...
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Does regret change when the loss function is dependent on the previous predictions?

The loss function of each expert in the expert advice problem(or any online learning problem) depends on the time($t$) and expert advice at that time($f_{t}(i)$). suppose in this problem, loss ...
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Scheduling jobs online on 3 identical machines - a lower bound of 5/3

Consider the Online Scheduling Problem with $3$ identical machines. Jobs, with arbitrary size arrive online one after another and need to be scheduled immediately on one of the $3$ machines without ...
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3 votes
1 answer
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Weighted Online Matching - randomized algorithms

Let's consider the edge weighted online matching problem. The Vertices arrive online and reveal all their current edges and edge-weights $w_e>0$. The goal is to maximize the matchings weight. An ...
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Online shortest path in ordered DAG

Suppose I have an edge-weighted connected rooted DAG $G = (V, E, r \in V, w \in E \to \mathbb{Z})$ where there exists a sequence of nonempty sets (called "levels") $L_0 = \{r\}, L_1 \subset ...
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Integrality gap in Online Problems and adaptation to competitive ratio

As we all know, in offline problems it is common practice to calculate the integrality gap to get some bound on the approximation ratio of the integral solution. Now this gap ($IG:=\frac{OPT_{frac}}{...
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1 answer
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Solve the online unweighted 0-1 knapsack problem efficiently

I have $n$ items and a bin of size $B$ units. Each item $j$ consumes $w_j$ units of $B$ when placed into the knapsack. The item appears one-by-one in an online fashion. Once item $i$ appears, we must ...
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1 vote
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Definitions of and difference between adaptive online adversary and adaptive offline adversary?

I recently started learning about randomized online algorithms, and the Wikipedia definitions for the three adversary models are very unhelpful to put it mildly. From poking around I think I have a ...
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Proof of Fundamental Lower Bound on Regret

Online Convex Optimization sees optimization as a continuous process in which the algorithm learns new aspects of the problem and improves upon. Every iteration consists of the player making a ...
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3 votes
1 answer
234 views

Matrix element value counting in O(1) space

The question arise from my customer's real-time system (RAM model, off-course), which has very limited resources. Given an NxM matrix of integer values, we need to verify that the number of non-zero ...
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1 vote
1 answer
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Matching Upper Bound for Online Problems

I have an online problem and I want to prove that no deterministic online algorithm is competitive. Let $\texttt{ON}$ be an online algorithm and $\texttt{OPT}$ an optimal offline algorithm (an ...
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4 votes
3 answers
526 views

Finding the hidden treasure

Let's assume I am trying to find a hidden treasure. The treasure is hidden at an uknown position x. We know that the position x of the treasure is somewhere on the integer axis (in other words x is ...
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Online Many-to-one Matching

Offline Problem I have a graph $\mathcal{G} = (\mathcal{D} \cup \mathcal{A}, \mathcal{E})$. Each edge $e \in \mathcal{E}$ between the two vertex sets $\mathcal{D}$ and $\mathcal{A}$ has an ...
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2 votes
1 answer
263 views

Approximation algorithm for weighted set cover, using multiplicative weights

It is known that the problem of fractional set cover can be rephrased as a linear programming problem and be approximated using the multiplicative weights method, for instance this lecture note shows ...
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On the limitation of the "adversary" in randomization for online learning

While reading on randomization for online learning from the text "Online Learning and Online Convex Optimization" by Shai Shalev-Shwartz, I found the following statement (Pg 115)- "The adversary can ...
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Multi Arm Bandit (MAB) -- Increasing reward function

In the general stochastic MAB model, the reward obtained at each trial is generally assumed to be independent of previous trials and obtained from some fixed (but unknown) distribution. However, if ...
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Optimizing convex function in an online manner

I have a convex function of $n$ variables, $f(x_1,x_2,\dots,x_n)$ and need to find its minimizer. Are there algorithms that can retrieve the minimizer in an online fashion? i.e. solve for $x_1^{(opt)}$...
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2 votes
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230 views

How to define the potential function method for an online maximization problem?

From Online Computation and Competitive Analysis By Allan Borodin, Ran El-Yaniv, to prove that an online algorithm $\text{ALG}$ is $c$-competitive for a minimization problem (i.e., there exists a ...
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2 votes
1 answer
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Online set cover variant? Routing of requests

We have a set of $k$ path requests from $src$ to $dst$ that arrive sequentially. Each request may have multiple paths, but can choose only one of them. For example, in the Figure shown, there are ...
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2 votes
0 answers
51 views

Hardness of approximation for online algorithms

Similar to the theory of hardness of approximation for (offline) approximation algorithms, has there been any work done on proving hardness guarantees for online algorithms? Theoretical lower bounds ...
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2 votes
1 answer
206 views

Lower bounds on regret

In "regret" styled analysis over $T$ steps of an iterative algorithm $\{x_i \in F \}_{i=1}^T$ (where $F$ is some feasible set) being given the sequence of loss functions $\{ f_i\}_{i=1}^T$ one defines ...
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1 vote
2 answers
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Online set filling with redistributions

Edited: Suppose we have 4 sets $A, B, C, D $ which can can hold a maximum of two elements, each. Now, elements ($E_i$) arrive serially with properties such as: ...
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0 votes
1 answer
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Online Set Filling

Suppose we have 3 sets $A, B, C$ which can can hold a maximum of two elements, each. So the total number of elements that the sets can hold together i.e. total capacity (TC) is $ 3*2 = 6$. Now, ...
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2 votes
1 answer
357 views

Competitive ratio of the ski rental problem

Reading about the Ski Rental Problem in Wikipedia, I got confused on the "when" is the buying of the skis occur. I could think of 2 possible ways, but each of them would have a different competitive ...
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1 answer
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Is there an online algorithm for radix conversion?

Suppose I have $P$, which is the base-$p$ representation of an integer $n$ and I want to calculate it base-$q$ representation $Q$. The obvious algorithm is: interpret $P$ to obtain $n$, then ...
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2 votes
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What's the reason for sqrt(n) bounds in online learning?

I have a question regarding no-regret algorithms (of online learning). As far as I can see, such algorithms allow the absolute regret up to round $n$, which is $R_n$, to grow by $\sqrt{n}$. So, in the ...
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1 vote
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Update model parameter with new data, discarding old data

I have this dataset, and I am using y = (a * x^n) / (b + x^n) Hill function as the model, where a is the limit of the Hill curve,...
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3 votes
1 answer
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Lower bound on competitive ratio of $m$-machine scheduling

Given a sequence of positive reals $a_1, a_2, \dots, a_n$ and an integer $m$, for each $j$ assign $a_j$ to a machine $i$, $1< i < m$, so as to minimize the maximum, over $i$, of the sum of all ...
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3 votes
1 answer
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What is the best known data structure for online dk-NNG?

I want to build the distance constrained k-Nearest Neighbours Graph, i.e. for every point $p$ in the data cloud $P$ there are at most $k$ undirected edges to points that are closest among all possible ...
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2 votes
1 answer
118 views

Online algorithms and changing past decisions

We know that for some online problems, algorithms can decrease their competitive ratio greatly if they are allowed to change some of their past decisions (see http://epubs.siam.org/doi/pdf/10.1137/1....
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2 votes
1 answer
230 views

Term for open-ended algorithms

There are some enumeration problems which have little input, except for some termination criterion. Examples for the question at hand would be enumeration of prime numbers in ascending order ...
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6 votes
2 answers
131 views

Online sorting without modifications

There is an array with $n$ places. There is a stream of $n$ unique numbers that arrive at a random order (permutation selected uniformly at random). Whenever a number arrives, we must put it ...
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