Insertion Loss Measurement Setup Based On CISPR 15 Standard
insertion point and temp using sap2000
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Count Sort Classify WorkbookFull description
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A MIPS implementation of 'merge-sort' codeDescripción completa
SORTING HEAP SORT
Programming
SORTING HEAP SORT
INSERTION SORT Inse Insert rtio ion n sor sortt kee keeps ps maki making ng the the left side of the array sorted until the whole array is sorted. It sorts sorts the values values seen seen far away away and and repe repeate atedly dly inser inserts ts unseen values in the array into the left sorted array. It is the simpl simplest est of all all sorti sorting ng algori algorithm thms. s. Althou Although gh it it has has the the same same com comple plexit xity y as Bubb Bubble le Sort, Sort, the the insertion sort is a little over twice as efficient as the bubble sort. The The disa disadva dvanta ntage ge of Insert Insertio ion n Sort Sort is is that that itit is is not not efficient to operate with a large list or input size.
Real life example: ± An example of an insertion sort occurs in everyday life while playing cards. To sort the cards in your hand you extract a card, shift the remaining cards, and then insert the extracted card in the correct place. This process is repeated until all the cards are in the correct sequence.
Insertion sort for n=8 elements Pass
A[0] A[1] A[2]
A[3]
A[4]
A[5]
A[6]
A[7]
A[8]
K=1
-
77
33
44
11
88
22
66
55
K=2
-
77
33
44
11
88
22
66
55
K=3
-
33
77
44
11
88
22
66
55
K=4
-
33
44
77
11
88
22
66
55
K=5
-
11
33
44
77
88
22
66
55
K=6
-
11
33
44
77
88
22
66
55
K=7
-
11
22
33
44
77
88
66
55
K=8
-
11
22
33
44
66
77
88
55
Sorted
-
11
22
33
44
55
66
77
88
Algorithm INSERTION(A,N) This algo sorts the array A with N elements 1. 2. 3. 4.
5. 6.
Set A[0]= -Infinite R epeat Steps 3 to 5 for k = 2,3,«.. N Set TEMP:= A[K] and PTR := K -1 R epeat while TEMP < A[PTR] (a)Set A[PTR+1] := A[PTR] (b) Set PTR:= PTR -1 [End of loop] Set A[PTR +1] := TEMP [End of step 2 loop] R eturn
Insertion Sort runtimes Best
case: O(n). It occurs when the data is in sorted order. After making one pass through the data and making no insertions, insertion sort exits.
Average case: (n^2) since there is a wide variation with the running time.
Worst
case: O(n^2) if the num bers were sorted in reverse order.
