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The weapon target assignment problem (WTA) is a class of combinatorial optimization problems present in the fields of optimization and operations research.It consists of finding an optimal assignment of a set of weapons of various types to a set of targets in order to maximize the total expected damage done to the opponent.
Then we compare edge (2,3) and (6,7) and choose node 3 to put in set . The last two nodes are node 7 and node 8. Therefore, merge edge (7,8). The minimum cut is 5, so remain the minimum as 5. The following steps repeat the same operations on the merged graph, until there is only one edge in the graph, as shown in step 7.
The first Project Euler problem is Multiples of 3 and 5. If we list all the natural numbers below 10 that are multiples of 3 or 5, we get 3, 5, 6 and 9. The sum of these multiples is 23. Find the sum of all the multiples of 3 or 5 below 1000. It is a 5% rated problem, indicating it is one of the easiest on the site.
The process of obtaining solution of (x, y) of an Euler spiral can thus be described as: Map L of the original Euler spiral by multiplying with factor a to L′ of the normalized Euler spiral; Find (x′, y′) from the Fresnel integrals; and; Map (x′, y′) to (x, y) by scaling up (denormalize) with factor 1 / a . Note that 1 / a ...
An algorithm is fundamentally a set of rules or defined procedures that is typically designed and used to solve a specific problem or a broad set of problems.. Broadly, algorithms define process(es), sets of rules, or methodologies that are to be followed in calculations, data processing, data mining, pattern recognition, automated reasoning or other problem-solving operations.
In graph theory, a branch of mathematics, graph canonization is the problem of finding a canonical form of a given graph G. A canonical form is a labeled graph Canon( G ) that is isomorphic to G , such that every graph that is isomorphic to G has the same canonical form as G .
The problem of graph exploration can be seen as a variant of graph traversal. It is an online problem, meaning that the information about the graph is only revealed during the runtime of the algorithm. A common model is as follows: given a connected graph G = (V, E) with non-negative edge weights. The algorithm starts at some vertex, and knows ...
There are classical sequential algorithms which solve this problem, such as Dijkstra's algorithm. In this article, however, we present two parallel algorithms solving this problem. Another variation of the problem is the all-pairs-shortest-paths (APSP) problem, which also has parallel approaches: Parallel all-pairs shortest path algorithm .