Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Densest subgraph: Supermodularity, iterative peeling, and flow
The densest subgraph problem in a graph (DSG), in the simplest form, is the following.
Given an undirected graph G=(V, E) find a subset S⊆ V of vertices that maximizes the ratio …
Given an undirected graph G=(V, E) find a subset S⊆ V of vertices that maximizes the ratio …
Towards optimal running times for optimal transport
In this work, we provide faster algorithms for approximating the optimal transport distance,
eg earth mover's distance, between two discrete probability distributions $\mu,\nu\in\Delta^ n …
eg earth mover's distance, between two discrete probability distributions $\mu,\nu\in\Delta^ n …
Dynamic algorithms for packing-covering lps via multiplicative weight updates
In the dynamic linear program (LP) problem, we are given an LP undergoing updates and
we need to maintain an approximately optimal solution. Recently, significant attention (eg …
we need to maintain an approximately optimal solution. Recently, significant attention (eg …
Advance service reservations with heterogeneous customers
C Stein, VA Truong, X Wang - Management Science, 2020 - pubsonline.informs.org
We study a fundamental model of resource allocation in which a finite number of resources
must be assigned in an online manner to a heterogeneous stream of customers. The …
must be assigned in an online manner to a heterogeneous stream of customers. The …
Robust control of a microgrid energy storage system using various approaches
J Choi, Y Shin, M Choi, WK Park… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
This paper presents a robust optimal control strategy for an energy storage system (ESS) of
a grid-connected microgrid. The robust optimal control guarantees the highest possible …
a grid-connected microgrid. The robust optimal control guarantees the highest possible …
Structured semidefinite programming for recovering structured preconditioners
We develop a general framework for finding approximately-optimal preconditioners for
solving linear systems. Leveraging this framework we obtain improved runtimes for …
solving linear systems. Leveraging this framework we obtain improved runtimes for …
Adaptive out-orientations with applications
We give improved algorithms for maintaining edge-orientations of a fully-dynamic graph,
such that the maximum out-degree is bounded. On one hand, we show how to orient the …
such that the maximum out-degree is bounded. On one hand, we show how to orient the …
Semi-Random Matrix Completion via Flow-Based Adaptive Reweighting
We consider the well-studied problem of completing a rank-$ r $, $\mu $-incoherent matrix
$\mathbf {M}\in\mathbb {R}^{d\times d} $ from incomplete observations. We focus on this …
$\mathbf {M}\in\mathbb {R}^{d\times d} $ from incomplete observations. We focus on this …
Accelerated and sparse algorithms for approximate personalized pagerank and beyond
It has recently been shown that ISTA, an unaccelerated optimization method, presents
sparse updates for the $\ell_1 $-regularized undirected personalized PageRank problem …
sparse updates for the $\ell_1 $-regularized undirected personalized PageRank problem …
Towards optimal running times for optimal transport
We provide faster algorithms for approximating the optimal transport distance, eg earth
mover's distance, between two discrete probability distributions on n elements. We present …
mover's distance, between two discrete probability distributions on n elements. We present …