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The objective function identifies the minimum cost network embedded in the superstructure.
We develop polynomial time algorithms for minimum cost network connection with paths or spanning trees under risk-sum constraints.
Epsilon-Relaxation method (also known as the preflow push method) for solving linear and separable quadratic minimum cost network flow problems.
Minimum cost network design/dimensioning problems where feasibility has to be ensured w.r.t. a given (possibly infinite) set of scenarios of requirements form an important subclass of robust LP problems with right-hand side uncertainty.
This problem consists of designing a minimum cost network respecting some requirements, usually described in terms of the network topology or in terms of a desired flow of commodities between source and destination vertices.
Given a central processor and a set of remote terminals with specified demands for traffic that must flow between the central processor and terminals, the goal is to design a minimum cost network to carry this demand.
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Performance goals for Kalman filtering are discussed and minimum cost networks are obtained.
This paper focuses on the design of minimum cost networks satisfying two technical constraints.
These constraints are enforced by solving a global minimum-cost network flow problem and local boolean satisfiability problems.
The minimum-cost network design problem is considered in the case where an optimum network remains connected, after deleting any ≤k edges which form a matching in the optimum network.
The CMST problem is to design a minimum-cost network connecting the terminals with the central processor so that the flow on any arc of the network is at most Q.
More suggestions(15)
minimum mutation network
minimum cost basis
minimum reticulate network
minimum coverage network
minimum cost algorithm
minimum spanning network
minimum connection network
minimum water network
minimum cost flow
minimum level network
minimum cost path
minimum gigabit network
minimum cost estimator
minimum cost tree
minimum cost selectivity
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