Suppose I have a sorted array of integers int[]
, and I want to search the closest smaller value to some input number.
for example if the array contains (1)
using Linq:
int[] arr = new[] { 1, 23, 57, 59, 120 };
int target = 109;
int max = arr.Where(n => n < target).Max();
Maybe not the fastest but probably the easiest to implement. Also doesn't rely on the array being sorted, as binary search does.
Note that the call to Max
will throw an exception if the Where
filter results in no elements, so you might want to check that if it's a possibility.
I'd go for a linq solution (updated: to add a little more code to stop from being similar to fear's similar solution):
int[] arr1 = { 1, 23, 57, 59, 120 };
int maxResult;
string errorMsg;
try
{
maxResult = arr1.Where(x => x <= 109).Max();
}
catch(Exception e)
{
errorMsg = e.Message;
// do some error stuff here :)
return null;
}
// party on your maxResult...
just to extrapolate on the other LINQ solutions this extension method will return -1 if no objects fits the filter and expects that the list is all positive integers
public static int SearchForLimit(this IEnuemerable<int> sequence, Predicate<int> filter)
{
return (from i in sequence
let n = filter(i) ? i : -1
select n).Max()
}
usage would look like this:
int[] arr1 = { 1, 23, 57, 59, 120 };
int limitedBy109 = arr1.SearchForLimit(i => i < 109);
Use Array.BinarySearch. If the input is in the list, it will return the index, and if not then it will return the complement of the index of the first larger value. You just invert the result and subtract one to get the index of the closest smaller value.
int[] arr = { 1, 23, 57, 59, 120 };
int index = Array.BinarySearch(arr, 109);
if (index < 0)
{
index = ~index - 1;
}
if (index >= 0)
{
var result = arr[index];
}
Note that if you have an input smaller than the smallest element, you don't have a well-defined answer.
int getIndex( long[] list, long value )
{
int top = 0;
int bot = list.length-1;
int mid=0;
while ( top <= bot )
{
mid = (top+bot)/2; // NB integer arithmetic
if ( value < list[mid] )
{
if ( mid == 0 )
// value < than first item
return -1;
else
bot = mid-1;
}
else // value >= list[mid]
{
if ( mid == list.length-1 )
// value is >= last item
break;
else if ( value >= list[mid+1] )
top = mid+1;
else // list[mid] must be biggest <= value
break;
}
}
return mid;
}