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Questions tagged [approximation-algorithms]

An approximation algorithm is an algorithm that finds an approximate solution to a (typically NP-hard) problem. The quality of the algorithm is measured by how close to the actual optimum it performs. For example, it is a constant factor approximation algorithm if it always outputs a solution that is within a constant factor of the optimum. Hardness of approximation is one way to separate NP-hard problems.

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Quite unexpectedly, I noticed a striking proximity between $AGM(n-r_{0}(n),n+r_{0}(n))$ (where $r_{0}(n):=\inf\{r\ge 0, (n-r,n+r)\in\mathbb{P}^{2}\}$ and $n$ is such that $m<n$ implies $r_{0}(m)<...
Sylvain JULIEN's user avatar
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I'm currently working on a project that partially involves graphs. One of the problems I'm tackling is determining whether two given matrices represent the same connected undirected graph. So given ...
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I understand the LLL algorithm for finding approximate shortest vector in $\mathbb{Z}$-lattices (where the norm function is either $\ell_\infty$ or $\ell_2$), as well as finding the shortest vector in ...
The Discrete Guy's user avatar
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Given a function $f:2^{[n]} \to [0, \infty)$, the problem is to find a partition $\mathscr{P}$ of $[n]$ which maximizes $\sum_{S \in \mathscr{P}} f(S)$. I am also interested in the case where $\...
student007's user avatar
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Let's define the $\texttt{MinHalfSimpCycle}$ search problem: Given $G=(V, E)$ a complete, undirected graph with weights on the edges. We want a simple cycle in $G$ (each vertex appears in it at most ...
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Let’s I have the following : 2 curves $G_1$ defined on $F_p$ and $G_2$ being the $G_1$ curve’s twist defined on $F_p^2$ both having the same prime order ; a large trace ; and $F_p^{12}$ as their ...
user2284570's user avatar
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Consider a graph $G=(V,E)$ and a source-destination pair $(s,t)$. A set of edges $E'\subseteq E$ are vulnerable in the sense that at most $k$ of them may fail. My problem is to find a set of $(s,t)$ ...
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Question: how can the initial values $\left(a[0],\,\dots,\,a[k-1]\right)$ and the coefficients $\left(c_k,\,\dots,\,c_0\right)$ be determined that solve $\min\limits_{a[0],\dots,a[k-1]\\ c_k,\dots,...
Manfred Weis's user avatar
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Let that $n\in\Bbb N$ generated from a hash function where $n$ is long enough to be hard to factor in the gnfs algorithm. How to check if $n$ is probably a semi‑prime in a faster way than factoring it ...
user2284570's user avatar
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For any real matrix $B\in\mathbb{R}^{n\times n},n\ge 2$ and precision $\varepsilon$, is there a real matrix $A\in\mathbb{R}^{n\times n}$ such that $\|e^A-B\|_F<\varepsilon$? ($F$ refers to ...
li ang Duan's user avatar
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(throughout, "DPP" denotes "Determinantal Point Process") TL;DR: Discrete DPPs are straightforward to compute with, continuous DPPs less so. Can we approximate continuous DPPs well ...
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In Golub's paper , page 327,the eigenvalues of a rank-one modification of a $n\times n$ symmetric matrix can be computed by findng the zeros of the secular equation \begin{equation*} w(\lambda_j)=...
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I found a very neat ancient hindi formula for approximating square roots using rational numbers. After doing some algebra on the formula, i came across with this recursive relation: Given any number $...
Simón Flavio Ibañez's user avatar
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Let $f:[a,b]\rightarrow R$ be a function that is not $C^{(n+1)}$ on $[a,b]$ but its $n$-th derivative is a Lipschitz function? How does the Lagrange's interpolating polynomial formula change? How does ...
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Question: what can be recommended for calculating $f(x)$ that solves $\frac{f(x)}{f(x)+f(1-x)}\approx g(x)$ for $x\in[0,1]$? I have tried comparing Taylor series, but they look intimidating and I ...
Manfred Weis's user avatar
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Assume you have $n$ independent binary variables $\{x_1,\dots,x_n\}$ and for each variable $x_i$ you know that its value is equal to $1$ with a probability $p_i$. I would like to enumerate the joint ...
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I am wishing to design an approximation algorithm for an optimization problem where the existence of solution for corresponding decision problem is not guaranteed. Is it wise to find an approximation ...
Hemraj Raikwar's user avatar
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In theorem 4 of Approximability of Minimum-weight Cycle Covers Bodo Manthey proves that: Then no approximation algorithm for $\operatorname{Min-L-DCC}$ achieves an approximation ratio of $o(n)$, ...
Manfred Weis's user avatar
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Given a set of items, each characterized by a quality $q_i\in(0,1)$. We can merge two items of quality $q_i$ and $q_j$ to a single item $k$ of quality $q_k=f(q_i,q_j)$, where $f$ is increasing in $q_i$...
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We are given a graph $G$, whose edges are either open or closed. Initially all the edges are closed. For each edge $e$, if we choose to activate it, then after the activation, it becomes open with ...
lchen's user avatar
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Given a network of routes modeled as a graph where each edge $e$ has a capacity $c_e$. We have a source node $s$ and a set of destination nodes $t_i$ ($1\le i\le k$). We need to transport $q_i$ ...
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I saw that there are different algorithms for piecewise linear approximation of cubic Bézier curves out there. Now suppose that these algorithms can be either used interchangeably or that the ...
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Given a multigraph such that there are 0 or 2 edges connecting every two vertices, we are to color the edges of this graph so that adjacent edges receive distinct colors. It is known that we need at ...
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Remark: I posted this question in math stackexchange here and computer science stackexchange https://cs.stackexchange.com/ few weeks ago but obtain no answer. Given a multi-dimensional gaussian ...
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Fix $k\in \mathbb{N}^+$ and let $E=(e_i,f_i)_{i=1}^I\subset \mathbb{R}^n\times \mathbb{R}^m$ be a non-empty finite set with $e_i\neq e_j$ whenever $i\neq j$. If $n=m=1$ then it's easy to see that: $$ ...
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