网络释义 1. 最小加卷积 ...积分. 2. 基本定义和性质 网络微积分理论包括了最小加卷积(Min-plus Convolution) 、最小加反卷积(Min-plus Deconvolution) …www.docin.com|基于3个网页© 2025 Microsoft 隐私声明和 Cookie 法律声明 广告 帮助 反馈
Fast Min-plus Convolution and Deconvolution on GPUsdoi:10.1145/3150928.3150958Natchanon LuangsomboonRobert HesseJrg LiebeherrACMPerformance Evaluation Methodolgies and ToolsN. Luangsomboon, R. Hesse, and J. Liebeherr, "Fast min-plus convolu- tion and deconvolution on GPUs," in Proc. of EAI Value...
to multi-node bounds using a convolution operation of the min- plus algebra [5]. The deterministic calculus reflects worst-case scenarios where arrivals and service in the network conspire to cre- ate maximum delays, backlogs, and bursts. Since traffic is ...
Interpretation of this constraint, which can be expressed in two equivalent forms: with and without the use of min-plus convolution, can be found in papers of R. L. Cruz. Nothing however was said about how to obtain it practically, for example, for each of representatives of a family of...
Min-plus convolutionFourier analysisApproximationGeneralized functionsMin-plus convolution is an algebra system that has applications to computer networks. Mathematically, the identity of min-plus convolution plays a key role in theory. On the other hand, the mathematical representation of the identity, ...
Interpretation of this constraint, which can be expressed in two equivalent forms: with and without the use of min-plus convolution, can be found in papers of R. L. Cruz. Nothing however was said about how to obtain it practically, for example, for each of representatives of ...
4) min-plus convolution 最小加卷积 5) Least square deconvolution algorithm 最小平方卷积反演 1. In this paper,the least square deconvolution algorithm is deduced from the orthogonal projection method in Hilbert space. 本文给出的最小平方卷积反演方法 ,利用了输入信号的时限约束 ,用Hilbert空间中的正交...
In this work we consider the problem of computing the (min, +)-convolution of two sequences a and b of lengths n and m, respectively, where n = m . We assume that a is arbitrary, but b(i) = f(i), where f(x) : [0, m) ? R is a function with one of the following ...
Approximating Subset Sum is equivalent to Min-Plus-Convolution.Karl Bringmann
The chapter focuses on the (min,plus) convolutions of concave and convex functions, as very efficient algorithms exist for these classes of functions. It explores the generic algorithms, which can be applied to any function, provided that the result can be finitely represented. A piecewise ...