Augmenting Capacities in Networks

نویسنده

  • Michael Bussieck
چکیده

Consider a network N = (V; E; c) with an integer valued capacity function c: V V ! Z + , and let k be a positive integer. What is the minimal total increase by which the individual capacities must be increased in order that the value of the maximal ow between all nodes is at least k? Frank FRANK92] gives a min-max formula for which is proved using Maders MADER82] splitting theorem. In order to obtain an eecient implementation of the resulting polynomial time algorithm, one must carry out some reduction and splitting operations which, in turn, entail performing several maximal ow computations. We give a method for reducing the total number of maximalow computations which signiicantly decreases the time complexity of the reduction phase, and substantially reduces the running time of the entire algorithm.

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

Link Protection within an Existing Backbone Network

Conventionally, research efforts targeting the issue of network robustness focus either on imposing resilience in the network design phase, or on augmenting existing network resources. For a given backbone transport network, both these approaches can be inadequate, simply because the network is in an operational phase and augmenting its resources may not be feasible. This study circumvents thes...

متن کامل

Augmenting flows for the consistent migration of multi-commodity single-destination flows in SDNs

Updating network flows in a real-world setting is a nascent research area, especially with the recent rise of Software Defined Networks. While augmenting s-t flows of a single commodity is a well-understood concept, we study updating flows in a multi-commodity setting: Given a directed network with flows of different commodities, how can the capacity of some commodities be increased, without re...

متن کامل

Partitioning Algorithm for the Parametric Maximum Flow

The article presents an approach to the maximum flow problem in parametric networks with linear capacity functions of a single parameter, based on the concept of shortest conditional augmenting directed path. In order to avoid working with piecewise linear functions, our approach uses a series of parametric residual networks defined for successive subintervals of the parameter values where the ...

متن کامل

Predicting the buckling Capacity of Steel Cylindrical Shells with Rectangular Stringers under Axial Loading by using Artificial Neural Networks

A parametric study was carried out in order to investigate the buckling capacity of the vertically stiffened cylindrical shells. To this end ANSYS software was used. Cylindrical steel shells with different yield stresses, diameter-to-thickness ratios (D/t) and number of stiffeners were modeled and their buckling capacities were calculated by displacement control nonlinear static analysis.  Radi...

متن کامل

New polynomial-time cycle-canceling algorithms for minimum-cost flows

The cycle-canceling algorithm is one of the earliest algorithms to solve the minimum cost flow problem. This algorithm maintains a feasible solution x in the network G and proceeds by augmenting flows along negative cost directed cycles in the residual network G(x) and thereby canceling them. For the minimum cost flow problem with integral data, the generic version of the cycle-canceling algori...

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 1992