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We investigate the integral conditions to extend the mean curvature flow in a Riemannian manifold. We prove that the mean curvature flow solution with finite total mean curvature on a finite time interval $[0,T)$ can be extended over time…

Differential Geometry · Mathematics 2009-10-13 Hong-Wei Xu , Fei Ye , En-Tao Zhao

In this paper, we derive a number of interesting properties and extensions of the convex flow problem from the perspective of convex geometry. We show that the sets of allowable flows always can be imbued with a downward closure property,…

Optimization and Control · Mathematics 2024-08-26 Theo Diamandis , Guillermo Angeris

For $n$-vertex $m$-edge graphs with integer polynomially-bounded costs and capacities, we provide a randomized parallel algorithm for the minimum cost flow problem with $\tilde O(m+n^ {1.5})$ work and $\tilde O(\sqrt{n})$ depth. On…

Data Structures and Algorithms · Computer Science 2025-03-18 Jan van den Brand , Hossein Gholizadeh , Yonggang Jiang , Tijn de Vos

Given a closed 3-manifold with an initial Riemannian metric of negative sec- tional curvature, we consider the cross curvature flow an evolution equation of metric on M3. We prove long-time existence of a solution to the cross curvature…

Differential Geometry · Mathematics 2016-09-12 Wei-Hung Liao

Flows over time are a natural way to incorporate flow dynamics that arise in various applications such as traffic networks. In this paper we introduce a natural variant of the deterministic fluid queuing model in which users aim to minimize…

Computer Science and Game Theory · Computer Science 2021-11-17 Tim Oosterwijk , Daniel Schmand , Marc Schröder

The vitality of an edge in a graph with respect to the maximum flow between two fixed vertices $s$ and $t$ is defined as the reduction of the maximum flow value caused by the removal of that edge. The max-flow vitality problem has already…

Data Structures and Algorithms · Computer Science 2022-04-25 Giorgio Ausiello , Lorenzo Balzotti , Paolo G. Franciosa , Isabella Lari , Andrea Ribichini

We analyze the stability of general nonlinear discrete-time stochastic systems controlled by optimal inputs that minimize an infinite-horizon discounted cost. Under a novel stochastic formulation of cost-controllability and detectability…

Optimization and Control · Mathematics 2025-04-30 Robert H. Moldenhauer , Dragan Nešić , Mathieu Granzotto , Romain Postoyan , Andrew R. Teel

Due to the importance of robustness in many real-world optimization problems, the field of robust optimization has gained a lot of attention over the past decade. We concentrate on maximum flow problems and introduce a novel robust…

Discrete Mathematics · Computer Science 2016-01-15 Jannik Matuschke , S. Thomas McCormick , Gianpaolo Oriolo , Britta Peis , Martin Skutella

We present a method for optimal control with respect to a linear cost function for positive linear systems with coupled input constraints. We show that the optimal cost function and resulting sparse state feedback for these systems can be…

Optimization and Control · Mathematics 2023-11-07 David Ohlin , Emma Tegling , Anders Rantzer

This paper addresses the problem of enumerating all supported efficient solutions for a linear multi-objective integer minimum cost flow problem (MOIMCF). It derives an output-polynomial time algorithm to determine all supported efficient…

Optimization and Control · Mathematics 2025-06-02 David Könen , Michael Stiglmayr

We investigate upper bounds on the length of cost optimal plans that are valid for problems with 0-cost actions. We employ these upper bounds as horizons for a SAT-based encoding of planning with costs. Given an initial upper bound on the…

Artificial Intelligence · Computer Science 2021-03-04 Mohammad Abdulaziz

Co-flows model a modern scheduling setting that is commonly found in a variety of applications in distributed and cloud computing. In co-flow scheduling, there are $m$ input ports and $m$ output ports. Each co-flow $j \in J$ can be…

Data Structures and Algorithms · Computer Science 2018-12-04 Sungjin Im , Manish Purohit

A well-studied nonlinear extension of the minimum-cost flow problem is to minimize the objective $\sum_{ij\in E} C_{ij}(f_{ij})$ over feasible flows $f$, where on every arc $ij$ of the network, $C_{ij}$ is a convex function. We give a…

Data Structures and Algorithms · Computer Science 2016-06-07 Laszlo A. Vegh

It is well known that the minimal superhedging price of a contingent claim is too high for practical use. In a continuous-time model uncertainty framework, we consider a relaxed hedging criterion based on acceptable shortfall risks.…

Mathematical Finance · Quantitative Finance 2019-03-07 Ludovic Tangpi

Update rules for learning in dynamic time warping spaces are based on optimal warping paths between parameter and input time series. In general, optimal warping paths are not unique resulting in adverse effects in theory and practice. Under…

Machine Learning · Computer Science 2018-03-05 Brijnesh J. Jain , David Schultz

In 1961, Gomory and Hu showed that the All-Pairs Max-Flow problem of computing the max-flow between all $n\choose 2$ pairs of vertices in an undirected graph can be solved using only $n-1$ calls to any (single-pair) max-flow algorithm. Even…

Data Structures and Algorithms · Computer Science 2022-08-05 Amir Abboud , Robert Krauthgamer , Jason Li , Debmalya Panigrahi , Thatchaphol Saranurak , Ohad Trabelsi

Many problems in machine learning can be formulated as solving entropy-regularized optimal transport on the space of probability measures. The canonical approach involves the Sinkhorn iterates, renowned for their rich mathematical…

Machine Learning · Computer Science 2023-11-29 Mohammad Reza Karimi , Ya-Ping Hsieh , Andreas Krause

We show the noninheritance of the completeness of the noncompact Yamabe flow. Our main theorem states the existence of a long time solution which is complete for each time and converges to an incomplete Riemannian metric. This shows the…

Differential Geometry · Mathematics 2021-11-08 Jin Takahashi , Hikaru Yamamoto

This paper considers the optimal control problem of connecting two periodic trajectories with maximal persistence. A maximally persistent trajectory is close to the periodic type in the sense that the norm of the image of this trajectory…

Systems and Control · Computer Science 2014-01-27 Abdul Basit Memon , Erik I. Verriest

We provide simple necessary and sufficient conditions under which a path constitutes a solution to an infinite-horizon, continuous-time optimal control problem. We prove transversality conditions under standard assumptions. We also present…

Optimization and Control · Mathematics 2026-03-30 Stefano Bosi , David Desmarchelier , Ngoc-Sang Pham