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- 08:55, 10 April 2023 David (Square Matrix LU Decomposition LU Decomposition) (hist | edit) [238 bytes] Admin (talk | contribs) (Created page with "== Time Complexity == $O(n \log n)$ == Space Complexity == words () == Description == == Approximate? == Exact == Randomized? == No, deterministic == Model of Computation == Word RAM == Year == 2006 == Reference ==")
- 08:55, 10 April 2023 Closed formula (Square Matrix LU Decomposition LU Decomposition) (hist | edit) [238 bytes] Admin (talk | contribs) (Created page with "== Time Complexity == $O(n \log n)$ == Space Complexity == words () == Description == == Approximate? == Exact == Randomized? == No, deterministic == Model of Computation == Word RAM == Year == 1975 == Reference ==")
- 08:54, 10 April 2023 Hirschberg's algorithm (Edit sequence Sequence Alignment) (hist | edit) [329 bytes] Admin (talk | contribs) (Created page with "== Time Complexity == $O(mn)$ == Space Complexity == $O(n)$ words (https://dl.acm.org/doi/10.1145/360825.360861) == Description == == Approximate? == Exact == Randomized? == No, deterministic == Model of Computation == Word RAM == Year == 1975 == Reference == https://dl.acm.org/doi/10.1145/360825.360861")
- 08:54, 10 April 2023 Masek; Patterson (Edit distance Sequence Alignment) (hist | edit) [382 bytes] Admin (talk | contribs) (Created page with "== Time Complexity == $O(mn / log(n))$ == Space Complexity == $O(n)$ words (https://www.sciencedirect.com/science/article/pii/0022000080900021) == Description == == Approximate? == Exact == Randomized? == No, deterministic == Model of Computation == Word RAM == Year == 1980 == Reference == https://www.sciencedirect.com/science/article/pii/0022000080900021")
- 08:53, 10 April 2023 No-Steal, Force (hist | edit) [492 bytes] Admin (talk | contribs) (Created page with "{{DISPLAYTITLE:No-Steal, Force (Recovery)}} == Description == Recovery is the process of reverting back to a safe state prior to a system failure. With a No-Steal/Force policy, the recovery algorithm will never write uncommited data to memory, but will force all commits to memory. == Related Problems == Related: Steal, No-Force == Parameters == $n$: number of transactions before crash == Table of Algorithms == Currently no algorithms in our database for t...")
- 08:53, 10 April 2023 Steal, No-Force (hist | edit) [914 bytes] Admin (talk | contribs) (Created page with "{{DISPLAYTITLE:Steal, No-Force (Recovery)}} == Description == Recovery is the process of reverting back to a safe state prior to a system failure. With a Steal/No-Force policy, the recovery algorithm will write possibly uncommited data to memory, while not forcing all commits to memory. == Related Problems == Related: No-Steal, Force == Parameters == $n$: number of transactions before crash == Table of Algorithms == {| class="wikitable sortable" style="t...")
- 08:53, 10 April 2023 Unweighted Interval Scheduling, Online (hist | edit) [3,094 bytes] Admin (talk | contribs) (Created page with "{{DISPLAYTITLE:Unweighted Interval Scheduling, Online (Interval Scheduling)}} == Description == Given are $n$ intervals of the form $(s_j , f_j)$ with $s_j < f_j$, for $j = 1, \ldots , n$. These intervals are the jobs that require uninterrupted processing during that interval. We will assume (without loss of generality) that the $s_j$’s and the $f_j$’s are nonnegative integers. We say that two intervals (or jobs) overlap if their intersection is nonempty, otherwise...")
- 08:52, 10 April 2023 Root Computation with continuous first derivative (hist | edit) [764 bytes] Admin (talk | contribs) (Created page with "{{DISPLAYTITLE:Root Computation with continuous first derivative (Root Computation)}} == Description == Given a real function with continuous first derivative, compute one of the roots. == Related Problems == Related: General Root Computation == Parameters == $\epsilon$: (additive) tolerance error $a, b$: endpoint values, with $b>a$ $n_{max}$: maximum number of iterations == Table of Algorithms == {| class="wikitable sortable" style="text-align:center;"...")
- 08:52, 10 April 2023 General Root Computation (hist | edit) [2,713 bytes] Admin (talk | contribs) (Created page with "{{DISPLAYTITLE:General Root Computation (Root Computation)}} == Description == Given a real continuous function, compute one of the roots. == Related Problems == Related: Root Computation with continuous first derivative == Parameters == $\epsilon$: (additive) tolerance error $a, b$: endpoint values, with $b>a$ $n_{max}$: maximum number of iterations == Table of Algorithms == {| class="wikitable sortable" style="text-align:center;" width="100%" ! Name...")
- 15:52, 15 February 2023 Reduction from OV to Disjunctive Reachability Queries in MDPs (hist | edit) [563 bytes] Admin (talk | contribs) (Created page with "FROM: OV TO: Disjunctive Reachability Queries in MDPs == Description == == Implications == assume: Strong Triangle<br/>then: there is no $O(m^{2-\epsilon})$ or $O((k \cdot m)^{1-\epsilon})$ algorithm, for any $\epsilon > {0}$ for target. == Year == 2016 == Reference == Chatterjee, Krishnendu, et al. "Model and objective separation with conditional lower bounds: Disjunction is harder than conjunction." Proceedings of the 31st Annual ACM/IEEE Symposium...")
- 12:19, 15 February 2023 Reduction from OV to k-OV (hist | edit) [135 bytes] Admin (talk | contribs) (Created page with "FROM: OV TO: k-OV == Description == == Implications == == Year == == Reference ==")
- 12:19, 15 February 2023 Reduction from 3-OV to k-OV (hist | edit) [141 bytes] Admin (talk | contribs) (Created page with "FROM: 3-OV TO: k-OV == Description == == Implications == == Year == == Reference ==")
- 12:19, 15 February 2023 Reduction from Max-Weight K-Clique to Weighted Depth (hist | edit) [619 bytes] Admin (talk | contribs) (Created page with "FROM: Max-Weight K-Clique TO: Weighted Depth == Description == == Implications == if: to-time: $O(n^{\lfloor d/{2}\rfloor-\epsilon})$ for $N$ weighted axis-parallel boxes in $\mathbb{R}^d$<br/>then: from-time: $O(n^{k-{2}\epsilon})$ on $n$ vertex graphs for $k=d$ == Year == 2016 == Reference == Backurs, Arturs, Nishanth Dikkala, and Christos Tzamos. "Tight Hardness Results for Maximum Weight Rectangles}}." 43rd International Colloquium on Automata,...")
- 12:19, 15 February 2023 Reduction from Max-Weight k-Clique to Maximum Subarray (hist | edit) [623 bytes] Admin (talk | contribs) (Created page with "FROM: Max-Weight k-Clique TO: Maximum Subarray == Description == == Implications == if: to-time: $O(n^{d+\lfloor d/{2}\rfloor-\epsilon})$ for $d$-dimensional hypercube arrays<br/>then: from-time: $O(n^{k-\epsilon})$ on $n$ vertex graphs for $k=d+\lfloor d/{2}\rfloor$ == Year == 2016 == Reference == Backurs, Arturs, Nishanth Dikkala, and Christos Tzamos. "Tight Hardness Results for Maximum Weight Rectangles}}." 43rd International Colloquium on Automa...")
- 12:19, 15 February 2023 Reduction from Max-Weight K-Clique to Maximum Square Subarray (hist | edit) [596 bytes] Admin (talk | contribs) (Created page with "FROM: Max-Weight K-Clique TO: Maximum Square Subarray == Description == == Implications == if: to-time: $O(n^{d+{1}-\epsilon})$ for $d$-dimensional hypercube arrays<br/>then: from-time: $O(n^{k-\epsilon})$ on $n$ vertex graphs for $k=d+{1}$ == Year == 2016 == Reference == Backurs, Arturs, Nishanth Dikkala, and Christos Tzamos. "Tight Hardness Results for Maximum Weight Rectangles}}." 43rd International Colloquium on Automata, Languages, and Programm...")
- 12:19, 15 February 2023 Reduction from Weighted, Undirected APSP to 2D Maximum Subarray (hist | edit) [572 bytes] Admin (talk | contribs) (Created page with "FROM: Weighted, Undirected APSP TO: 2D Maximum Subarray == Description == == Implications == if: to-time: $O(n^{3-\epsilon})$ on $n\times n$ matrices<br/>then: from-time: $O(n^{3-\epsilon/{1}0})$ on $n$ vertex graphs == Year == 2016 == Reference == Backurs, Arturs, Nishanth Dikkala, and Christos Tzamos. "Tight Hardness Results for Maximum Weight Rectangles}}." 43rd International Colloquium on Automata, Languages, and Programming (ICALP 2016). Vol. 5...")
- 12:19, 15 February 2023 Reduction from Negative Triangle Detection to 2D Maximum Subarray (hist | edit) [569 bytes] Admin (talk | contribs) (Created page with "FROM: Negative Triangle Detection TO: 2D Maximum Subarray == Description == == Implications == if: to-time: $O(n^{3-\epsilon})$ on $n\times n$ matrices<br/>then: from-time: $O(n^{3-\epsilon})$ on $n$ vertex graphs == Year == 2016 == Reference == Backurs, Arturs, Nishanth Dikkala, and Christos Tzamos. "Tight Hardness Results for Maximum Weight Rectangles}}." 43rd International Colloquium on Automata, Languages, and Programming (ICALP 2016). Vol. 55....")
- 12:19, 15 February 2023 Reduction from Max-Weight k-Clique to Max-Weight Rectangle (hist | edit) [616 bytes] Admin (talk | contribs) (Created page with "FROM: Max-Weight k-Clique TO: Max-Weight Rectangle == Description == == Implications == if: to-time: $O(N^{d-\epsilon})$ on $N$ weighted points in $d$ dimensions<br/>then: from-time: $O(n^{k-\epsilon})$ on $n$ vertices, where $k=\lceil d^{2}\epsilon^{-1}\rceil$ == Year == 2016 == Reference == Backurs, Arturs, Nishanth Dikkala, and Christos Tzamos. "Tight Hardness Results for Maximum Weight Rectangles}}." 43rd International Colloquium on Automata, Lan...")
- 12:19, 15 February 2023 Reduction from Bichromatic Hamming Close Pair to Approximate Hard-Margin SVM (hist | edit) [701 bytes] Admin (talk | contribs) (Created page with "FROM: Bichromatic Hamming Close Pair TO: Approximate Hard-Margin SVM == Description == == Implications == assume: SETH<br/>then: let $k(a,a')$ be the Gaussian kernel with $C={100}\log n$ and let $\epsilon = \exp(-\omega(\log^{2} n))$, then approximating the optimal value of target within multiplicative factor ${1}+\epsilon$ requires almost quadratic time. == Year == 2017 == Reference == Backurs, A., Indyk, P., & Schmidt, L. (2017). On the fine-graine...")
- 12:19, 15 February 2023 Reduction from Maximum Inner Product Search to Stable Pair Checking (hist | edit) [641 bytes] Admin (talk | contribs) (Created page with "FROM: Maximum Inner Product Search TO: Stable Pair Checking == Description == == Implications == assume: OVH<br/>then: for any $\epsilon > {0}$, there is a $c$ such that determining whether a given pair is part of any or all stable matchings in the boolean $d$-attribute model with $d = c\log n$ dimensions requires time $\Omega(n^{2-\epsilon})$ == Year == 2016 == Reference == Moeller, Daniel, Ramamohan Paturi, and Stefan Schneider. "Subquadratic algor...")