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  2. Flow network - Wikipedia

    en.wikipedia.org/wiki/Flow_network

    The residual capacity of an arc e with respect to a pseudo-flow f is denoted c f, and it is the difference between the arc's capacity and its flow. That is, c f (e) = c(e) - f(e). From this we can construct a residual network, denoted G f (V, E f), with a capacity function c f which models the amount of available capacity on the set of arcs in ...

  3. Push–relabel maximum flow algorithm - Wikipedia

    en.wikipedia.org/wiki/Push–relabel_maximum_flow...

    A push operation that causes f (u, v) to reach c(u, v) is called a saturating push since it uses up all the available capacity of the residual arc. Otherwise, all of the excess at the node is pushed across the residual arc. This is called an unsaturating or non-saturating push.

  4. Ford–Fulkerson algorithm - Wikipedia

    en.wikipedia.org/wiki/Ford–Fulkerson_algorithm

    The Ford–Fulkerson method or Ford–Fulkerson algorithm (FFA) is a greedy algorithm that computes the maximum flow in a flow network.It is sometimes called a "method" instead of an "algorithm" as the approach to finding augmenting paths in a residual graph is not fully specified [1] or it is specified in several implementations with different running times. [2]

  5. Max-flow min-cut theorem - Wikipedia

    en.wikipedia.org/wiki/Max-flow_min-cut_theorem

    In the residual graph (G f ) obtained for G (after the final flow assignment by Ford–Fulkerson algorithm), define two subsets of vertices as follows: A: the set of vertices reachable from s in G f; A c: the set of remaining vertices i.e. V − A; Claim. value( f ) = c(A, A c), where the capacity of an s-t cut is defined by

  6. Maximum flow problem - Wikipedia

    en.wikipedia.org/wiki/Maximum_flow_problem

    An edge with capacity [0, 1] between s and each s i. An edge with capacity [0, 1] between each d i and t. An edge with capacity [1, 1] between each pair of s i and d i. An edge with capacity [0, 1] between each d i and s j, if source s j is reachable with a reasonable amount of time and cost from the destination of flight i.

  7. Widest path problem - Wikipedia

    en.wikipedia.org/wiki/Widest_path_problem

    The smallest edge weight on this path is known as the capacity or bandwidth of the path. As well as its applications in network routing, the widest path problem is also an important component of the Schulze method for deciding the winner of a multiway election, [ 3 ] and has been applied to digital compositing , [ 4 ] metabolic pathway analysis ...

  8. Your Body Never Forgets Muscle. So Here's How Long It ... - AOL

    www.aol.com/body-never-forgets-muscle-heres...

    Learn how muscle memory works, how long it takes to develop, and why it’s crucial for fitness. Plus, tips to train smarter and build strength and muscle faster.

  9. Sulfur hexafluoride circuit breaker - Wikipedia

    en.wikipedia.org/wiki/Sulfur_hexafluoride...

    After contact separation, current is carried through an arc and is interrupted when this arc is cooled by a gas blast of sufficient intensity. [1] SF 6 gas is electronegative and has a strong tendency to absorb free electrons. The contacts of the breaker are opened in a high-pressure flow of sulfur hexafluoride gas, and an arc is struck between ...