The minimum absolute difference between any two elements in a given array is the smallest positive number that can be obtained by subtracting one element from another in the array.
Because this method generally works best when the difference between the minimum amount of RAM you can order and the amount desired is quite big.
In graph theory, a minimum spanning tree is a tree that connects all the vertices of a graph with the minimum possible total edge weight, while a shortest path is the path with the minimum total weight between two specific vertices in a graph. In essence, a minimum spanning tree focuses on connecting all vertices with the least total weight, while a shortest path focuses on finding the path with the least weight between two specific vertices.
The minimum unique array sum that can be achieved is when all elements in the array are different, resulting in the sum of the array being equal to the sum of the first n natural numbers, which is n(n1)/2.
In network flow algorithms, the minimum cut represents the smallest total capacity of edges that, if removed, would disconnect the source from the sink. The maximum flow is the maximum amount of flow that can be sent from the source to the sink. The relationship between minimum cut and maximum flow is that the maximum flow is equal to the capacity of the minimum cut. This is known as the Max-Flow Min-Cut Theorem.
The pseudocode for the selection sort algorithm is as follows: Start with the first element as the minimum. Compare the minimum with the next element in the list. If the next element is smaller, update the minimum. Continue this process until the end of the list is reached. Swap the minimum element with the first element. Repeat the process for the remaining elements in the list. Selection sort works by repeatedly finding the minimum element from the unsorted part of the list and swapping it with the first unsorted element. This process continues until the entire list is sorted.
absolute threshold is the lowest level that a person will feel sensation differential threshold is the minimal difference that a person can detect between two similar stimuli For example a change in volume in certain frequencies would be crossing the absolute threshold, how much that change would need to be for someone to detect it would be dealing with the difference threshold.
the rang ( of the rang ) the difference between the maximum and minimum values in a data set.
Just-noticeable difference (JND) refers to the smallest detectable difference between two stimuli. This threshold determines the minimum amount of stimulation needed to distinguish between the two stimuli.
Yes. (But not the other way round - a local minimum is not necessarily an absolute minimum.)Yes. (But not the other way round - a local minimum is not necessarily an absolute minimum.)Yes. (But not the other way round - a local minimum is not necessarily an absolute minimum.)Yes. (But not the other way round - a local minimum is not necessarily an absolute minimum.)
The difference is that the maximum is normally larger than the minimum.
range
The leftmost point is the minimum value.The rightmost point is the maximum value.The difference between them is the range.The leftmost point is the minimum value.The rightmost point is the maximum value.The difference between them is the range.The leftmost point is the minimum value.The rightmost point is the maximum value.The difference between them is the range.The leftmost point is the minimum value.The rightmost point is the maximum value.The difference between them is the range.
The minimum and maximum refers to the number of sunspots.
Range
Range
Yes.
The range is the spread between maximum and minimum values.