Introduction to Network Flow Problems

نویسنده

  • Hung Q. Ngo
چکیده

1 Basic definitions and properties Definition 1.1. A flow network is a directed graph D = (V,E) with two distinguished vertices s and t called the source and the sink, respectively. Moreover, each arc (u, v) ∈ E has a certain capacity c(u, v) ≥ 0 assigned to it. If (u, v) / ∈ E (including pairs of the form (u, u)), we assume c(u, v) = 0. In this note, we shall restrict ourselves to the case where capacities are all rational numbers. Some of the capacities might be∞. Definition 1.2. Let G = (V,E) be a graph or a digraph. Let X be a proper non-empty subset of V . Let X̄ := V −X , then the pair (X, X̄) forms a partition of V , called a cut of G. The set of edges of G with one end point in each of X and X̄ is called an edge cut of G, denoted by [X, X̄]. Definition 1.3. A source/sink cut of a network D is a cut (S, T ) with s ∈ S and t ∈ T . (Note that, implicitly T = S̄.) Definition 1.4. A flow for a network D = (V,E) is a function f : V × V → R, which assigns a real number to each pair (u, v) of vertices. A flow f is called a feasible flow if it satisfies the following conditions: (i) 0 ≤ f(u, v) ≤ c(u, v),∀(u, v) ∈ E. These are the capacity constraints. (If a capacity is∞, then there is no upper bound on the flow value on that edge.) (ii) For all v ∈ V − {s, t}, the total flow into v is the same as the total flow out of v: ∑

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Inverse Maximum Dynamic Flow Problem under the Sum-Type Weighted Hamming Distance

Inverse maximum flow (IMDF), is among the most important problems in the field ofdynamic network flow, which has been considered the Euclidean norms measure in previousresearches. However, recent studies have mainly focused on the inverse problems under theHamming distance measure due to their practical and important applications. In this paper,we studies a general approach for handling the inv...

متن کامل

Cooperative network flow problem with pricing decisions and allocation of benefits: A game theory approach

Several real problems in telecommunication, transportation, and distribution industries can be well analyzed by network flow models. In revenue management, pricing plays a primary role which increases the profit generated from a limited supply of assets. Pricing decision directly affects the amount of service or product demand. Hence, in traditional maximum flow problem, we assume that the dema...

متن کامل

A Simulated Annealing Algorithm for Unsplittable Capacitated Network Design

The Network Design Problem (NDP) is one of the important problems in combinatorial optimization. Among the network design problems, the Multicommodity Capacitated Network Design (MCND) problem has numerous applications in transportation, logistics, telecommunication, and production systems. The MCND problems with splittable flow variables are NP-hard, which means they require exponential time t...

متن کامل

A Survey on the Impact of Distributed Energy Resources on Power Flow Components

Turning to Renewable Energy Sources (RES) is the most logical politics in securing the modern society from critical changes in earth increasing temperature. However, Distributed Generation (DG) sources could lead to new challenges in electricity network, mainly allocation of DG sources in distribution level of power system will set the existing network under stress of power flow parameters. The...

متن کامل

A Multi-Level Capacity Approach to the Hub and Spoke Network

The existing works considering the flow-based discount factor in the hub and spoke problems, assume that increasing the amount of flow passing through each edge of network continuously decreases the unit flow transportation cost. Although a higher volume of flow allows for using wider links and consequently cheaper transportation, but the unit of flow enjoys more discounts, quite like replacing...

متن کامل

Twelve: Maximal Flow, Shortest Path, Multicommodity Flow, and Network Synthesis Problems

Two special and important network flow problems are the maximal flow problem and the shortest path problem. Both of these problems can be solved by either the network simplex method of Chapter 9 or the out-of-kilter algorithm of Chapter 11. However, their frequent occurrence in practice and the specialized, more efficient procedures that can be developed for handling these two problems provide ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2007