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What is the usefulness of minimum moment algorithm in resource levelling?
Wiki User
∙ 14y ago
resource leveling is an effective means of smoothing the utilization of resources
Wiki User
∙ 14y ago
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When is minimum mean square error algorithm used?
This type of algorithm is commonly used in n dimensional clustering applications. This mean is commonly the simplest to use and a typical algorithm employing the minimum square error algorithm can be found in McQueen 1967.
What is krushkal algorithm?
Kruskal's algorithm is an algorithm in graph theory that finds a minimum spanning tree for a connected weighted graph. This means it finds a subset of the edges that forms a tree that includes every vertex, where the total weight of all the edges in the tree is minimized. If the graph is not connected, then it finds a minimum spanning forest (a minimum spanning tree for each connected component). Kruskal's algorithm is an example of a greedy algorithm.
What is cost optimal algorithm in parallel computing?
The cost optimal algorithm in parallel computing is the modular structured parallel algorithm that satisfy the insatiable demand of low power consumption, reduces speed and minimum silicon area.
Can dijkstra's algorithm produce a spanning tree?
yes, but a shortest path tree, not a minimum spanning tree
What is the complexity of kruskal's minimum spanning tree algorithm on a graph with n nodes and e edges?
o(eloge)
When is minimum mean square error algorithm used?
This type of algorithm is commonly used in n dimensional clustering applications. This mean is commonly the simplest to use and a typical algorithm employing the minimum square error algorithm can be found in McQueen 1967.
What is krushkal algorithm?
Kruskal's algorithm is an algorithm in graph theory that finds a minimum spanning tree for a connected weighted graph. This means it finds a subset of the edges that forms a tree that includes every vertex, where the total weight of all the edges in the tree is minimized. If the graph is not connected, then it finds a minimum spanning forest (a minimum spanning tree for each connected component). Kruskal's algorithm is an example of a greedy algorithm.
What is cost optimal algorithm in parallel computing?
The cost optimal algorithm in parallel computing is the modular structured parallel algorithm that satisfy the insatiable demand of low power consumption, reduces speed and minimum silicon area.
Who is the inventor of Reverse Delete Algorithm for MST When was this first published?
The Reverse Delete Algorithm for finding the Minimum Spanning Tree was first introduced by Edsger Dijkstra in 1959. He presented this algorithm in his paper titled "A note on two problems in connexion with graphs" which was published in Numerische Mathematik.
Can dijkstra's algorithm produce a spanning tree?
yes, but a shortest path tree, not a minimum spanning tree
What does preservation of resource means?
using resouses with a minimum of waste
What is the complexity of kruskal's minimum spanning tree algorithm on a graph with n nodes and e edges?
o(eloge)
How do you calculate the minimum bounding box of a convex polygon?
With the two rotating calipers algorithm: http://cgm.cs.mcgill.ca/~orm/rotcal.html
What has the author Ahmad Rana written?
Ahmad Rana has written: 'Minimum time motion planning of the RTX robot using an evolutionary algorithm'
How do you find minimum number amongst 100 numbers Write step by step procedure?
one method is to use MS Excel .but i am interested in the algorithm or steps involved to determine th minimum or maximum that is the science working behind it.
What is efficent Algorithm?
Basically it depends on your condition of the program but one should have these things in mind while making/writing an algorithm..... 1. Use minimum variable as much as possible. 2. Try to use the pointers instead of array's to allocate the memory at the run time. 3. Always check for the time and space complexity for the algorithm. 4. Use the exact data structure for the given problem.
What does prefix min mean?
Prefix min refers to an algorithm that calculates the minimum value of a given subarray in an array. It does so by precomputing prefix sums or prefix minimums to quickly determine the minimum value in any subarray. This can be useful in various programming problems and optimizations.
