[solved]-H0arks Often Important Identify Local Maxima Observed Data Call Local Maxima Peaks Data Co Q39083152

H0arkS It is often important to identify local maxima in observed data. We will call these local maxima peaks in the data. Consider the following array 3 675 3-1 Notice that the value 7 is peak in the data since it is larger than both the value immediately before it (the value 6) and after it (the value 5) in the data. The value 1 will also be considered a peak since all values adjacent to it are smaller (in this case there is only adjacent value; the value -1 that comes before it). This data has TWO peaks The notion of a peak corresponds to a single location that is a local maximum. Sometimes there might be a local maximum with a value that is repeated in adjacent positions in the data. This kind of local maximum is called a plateau. A plateau is a adjacent locations in the data. Consider the following array: local maximum that lies in two or more 3 6 8 8 7 6 532 A R public class Peaks 10 11 / Finds the number of “peaks” in the input data array. 12 <p> 13 A value in the input data array is a peak if it is strictly 14 *larger than all adjacent (immediate neighbour) values in the 15 data array- 16 <p> 17 Examples: 18 int[] datal (1,3,2,1,0,e); 19 numberOfPeaks (datal) > 1 (3 is the only peak) 28 int[] data2 (4,3,6); 21 numberOfPeaks (data2) > 2 (4 and 6 are peaks) 22 int data3 (2,2); 23 numberOfPeaks (data3) (there are no peaks) 24 25 26 @param data is an array of one or more integers. 27 28 @return the number of “peaks” in the input data array. 29 3e public static int numberofPeaks (int[] data)( 31 int peaks –3; 32 return peaks; 34 /basic testing… you should be doing much more testing on your own! public static void main(String[] args){ // basic testing int[] datal – new int[](25); Show transcribed image text H0arkS It is often important to identify local maxima in observed data. We will call these local maxima peaks in the data. Consider the following array 3 675 3-1 Notice that the value 7 is peak in the data since it is larger than both the value immediately before it (the value 6) and after it (the value 5) in the data. The value 1 will also be considered a peak since all values adjacent to it are smaller (in this case there is only adjacent value; the value -1 that comes before it). This data has TWO peaks The notion of a peak corresponds to a single location that is a local maximum. Sometimes there might be a local maximum with a value that is repeated in adjacent positions in the data. This kind of local maximum is called a plateau. A plateau is a adjacent locations in the data. Consider the following array: local maximum that lies in two or more 3 6 8 8 7 6 532
A R public class Peaks 10 11 / Finds the number of “peaks” in the input data array. 12 13 A value in the input data array is a peak if it is strictly 14 *larger than all adjacent (immediate neighbour) values in the 15 data array- 16 17 Examples: 18 int[] datal (1,3,2,1,0,e); 19 numberOfPeaks (datal) > 1 (3 is the only peak) 28 int[] data2 (4,3,6); 21 numberOfPeaks (data2) > 2 (4 and 6 are peaks) 22 int data3 (2,2); 23 numberOfPeaks (data3) (there are no peaks) 24 25 26 @param data is an array of one or more integers. 27 28 @return the number of “peaks” in the input data array. 29 3e public static int numberofPeaks (int[] data)( 31 int peaks –3; 32 return peaks; 34 /basic testing… you should be doing much more testing on your own! public static void main(String[] args){ // basic testing int[] datal – new int[](25);

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Answer to H0arkS It is often important to identify local maxima in observed data. We will call these local maxima peaks in the dat… . . .