maximum capacity path problem
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The Linear Constrained Maximum Capacity Path Problem
The maximum capacity path is to send as much flow as possible between two special nodes a source node and a sink node within a network without multi-arcs and |
The maximum bandwidth path problem is a graph problem that, given a weighted graph, a source node, and a target node, seeks to calculate the path from the source to the target such that the minimum weight of the edges in the path in the path is maximized.
What is the widest path problem?
In graph algorithms, the widest path problem is the problem of finding a path between two designated vertices in a weighted graph, maximizing the weight of the minimum-weight edge in the path.
The widest path problem is also known as the maximum capacity path problem.
What is the maximum bottleneck problem?
Intuitively, the maximum bottleneck path, also known as the widest path , between a source s and a target t is the path between s and t that allows the most flow to go through it.
The amount of flow that can go through the widest path is equivalent to the weight of the minimum weight edge on that path.
What is the longest path decision problem?
Abstract—The longest path problem is the problem of finding a path which will result in the maximum length out of all paths possible in a given graph.
Its useful applications include giving the critical path of a graph and Static Timing Analysis (STA) in electronical design automation.
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The Linear Constrained Maximum Capacity Path Problem
Bangkok 10903 Thailand. Abstract. The multi-linear constrained maximum capacity path problem is to search a directed path P. * with maximal capacity C(P. |
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Inverse Maximum Capacity Path Problems Under Sum-Type and
Dec 30 2020 The inverse maximum capacity path problem (IMCP) is to modify the capacities of the arcs as little as possible so that a given path becomes. |
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? max-flow and min-cut problems ? Ford–Fulkerson algorithm
Jan 11 2021 Which is the augmenting path of highest bottleneck capacity? ... This paper presents new algorithms for the maximum flow problem |
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Shortest Path and Maximum Flow Problems Under Service Function
Jan 17 2018 the load at each instance and the total congestion along each path. Moreover |
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Maximum Capacity Path Interdiction Problem with Fixed Costs
Aug 2 2019 This paper considers an optimization interdiction problem which is called the maximum capacity path interdiction (MCPI) problem. |
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Paths with minimum range and ratio of arc lengths
algorithm i.e. |
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A linear time algorithm for the maximum capacity path problem
Abstract: The maximum capacity path problem is to find a path joining two fixed vertices of an edge weighted graph such that the minimum edge weight is |
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A Heuristic for Widest Edge-disjoint Path Pair Lexicographic
edge-disjoint paths problem and proposed heuristics to address An algorithm for the calculation of paths with maximum capacity for all node pairs. |
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All-Pairs Bottleneck Paths For General Graphs in Truly Sub-Cubic
In the all-pairs bottleneck paths (APBP) problem (a.k.a. all- pairs maximum capacity paths) one is given a directed graph with real non-negative capacities |
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A linear time algorithm for the maximum capacity path problem
Abstract: The maximum capacity path problem is to find a path joining two fixed vertices of an edge weighted graph such that the minimum edge weight is |
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Time-varying maximum capacity path problem with zero waiting
The MCP problem is to find a path between two vertices such that the capacity of the path is maximized, where the capacity of a path is defined as the minimum of the capaci- ties of the arcs on this path |
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Parallel algorithm to find maximum capacity paths
time, the maximum capacity path algorithms are required to meet stringent conditions In fact, they must be capable of solving the routing problem in accelerated |
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The Linear Constrained Maximum Capacity Path Problem - GEBRC
Thus, Thienpaitoon Nopparat (1997) developed the algorithm, The Constrained Maximum Capacity Path Problem (CMCP), to find maximum capacity through a |
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Graph Algorithms II
The Maximum Bottleneck Path problem • Minimum Spanning path” problem Imagine the edge weights represent capacities of the edges (“widths” rather than |
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All-Pairs Bottleneck Paths For General Graphs in Truly Sub-Cubic
In the all-pairs bottleneck paths (APBP) problem (a k a all- pairs maximum capacity paths), one is given a directed graph with real non-negative capacities on its |
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Shortest path and maximum flow problems in networks with - CORE
The maximum flow problem is strongly N P- hard, even in networks with integral capacities and with unit gain or with loss two on the arcs, and is hard to |
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Finding Paths in Graphs - Princeton University Computer Science
How many augmenting paths? Bound on running time: multiply by E worst case upper bound shortest VE/2 VM max capacity 2ElgM WARNING: The Algorithm |
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On the Bottleneck Shortest Path Problem - OPUS 4 – KOBV
algorithm) and the Max Flow Problem [2, Chapter 7] As outlined in [2], all edges e ∈ E The capacity bp of a path p (viewed as a set of edges) is given by bp |
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Single-Source Bottleneck Path Algorithm Faster than - DROPS
vertices with the maximum flow, in which the flow of a path is defined as the minimum capacity of edges on that path The bottleneck problem can be seen as a |
