给定一个按顺序表示算术级数元素的数组。进程中缺少一个元素,找到缺少的数字。
例子:
Input: arr[] = {2, 4, 8, 10, 12, 14}
Output: 6
Input: arr[] = {1, 6, 11, 16, 21, 31};
Output: 26
一个简单的解决方案是线性遍历数组并找到丢失的数字。该解决方案的时间复杂度为 O(n)。
我们可以使用二分搜索在 O(Logn) 时间内解决这个问题。这个想法是去中间元素。检查 middle 和 next to middle 之间的差异是否等于 diff ,如果不是,则缺少的元素位于 mid 和 mid+1 之间。如果中间元素等于算术级数中的第n/2 项(令 n 为输入数组中的元素数),则缺失元素位于右半部分。 Else 元素位于左半部分。
以下是上述想法的实现。
C++
// C++ program to find the missing number
// in a given arithmetic progression
#include
using namespace std;
#define INT_MAX 2147483647;
class GFG
{
// A binary search based recursive function that returns
// the missing element in arithmetic progression
public:int findMissingUtil(int arr[], int low,
int high, int diff)
{
// There must be two elements to find the missing
if (high <= low)
return INT_MAX;
// Find index of middle element
int mid = low + (high - low) / 2;
// The element just after the middle element is missing.
// The arr[mid+1] must exist, because we return when
// (low == high) and take floor of (high-low)/2
if (arr[mid + 1] - arr[mid] != diff)
return (arr[mid] + diff);
// The element just before mid is missing
if (mid > 0 && arr[mid] - arr[mid - 1] != diff)
return (arr[mid - 1] + diff);
// If the elements till mid follow AP, then recur
// for right half
if (arr[mid] == arr[0] + mid * diff)
return findMissingUtil(arr, mid + 1,
high, diff);
// Else recur for left half
return findMissingUtil(arr, low, mid - 1, diff);
}
// The function uses findMissingUtil() to
// find the missing element in AP.
// It assumes that there is exactly one
// missing element and may give incorrect result
// when there is no missing element or
// more than one missing elements. This function
// also assumes that the difference in AP is an
// integer.
int findMissing(int arr[], int n)
{
// If exactly one element is missing, then we can find
// difference of arithmetic progression using following
// formula. Example, 2, 4, 6, 10, diff = (10-2)/4 = 2.
// The assumption in formula is that the difference is
// an integer.
int diff = (arr[n - 1] - arr[0]) / n;
// Binary search for the missing
// number using above calculated diff
return findMissingUtil(arr, 0, n - 1, diff);
}
};
// Driver Code
int main()
{
GFG g;
int arr[] = {2, 4, 8, 10, 12, 14};
int n = sizeof(arr) / sizeof(arr[0]);
cout << "The missing element is "
<< g.findMissing(arr, n);
return 0;
}
// This code is contributed by Soumik
C
// A C program to find the missing number in a given
// arithmetic progression
#include
#include
// A binary search based recursive function that returns
// the missing element in arithmetic progression
int findMissingUtil(int arr[], int low, int high, int diff)
{
// There must be two elements to find the missing
if (high <= low)
return INT_MAX;
// Find index of middle element
int mid = low + (high - low)/2;
// The element just after the middle element is missing.
// The arr[mid+1] must exist, because we return when
// (low == high) and take floor of (high-low)/2
if (arr[mid+1] - arr[mid] != diff)
return (arr[mid] + diff);
// The element just before mid is missing
if (mid > 0 && arr[mid] - arr[mid-1] != diff)
return (arr[mid-1] + diff);
// If the elements till mid follow AP, then recur
// for right half
if (arr[mid] == arr[0] + mid*diff)
return findMissingUtil(arr, mid+1, high, diff);
// Else recur for left half
return findMissingUtil(arr, low, mid-1, diff);
}
// The function uses findMissingUtil() to find the missing
// element in AP. It assumes that there is exactly one missing
// element and may give incorrect result when there is no missing
// element or more than one missing elements.
// This function also assumes that the difference in AP is an
// integer.
int findMissing(int arr[], int n)
{
// If exactly one element is missing, then we can find
// difference of arithmetic progression using following
// formula. Example, 2, 4, 6, 10, diff = (10-2)/4 = 2.
// The assumption in formula is that the difference is
// an integer.
int diff = (arr[n-1] - arr[0])/n;
// Binary search for the missing number using above
// calculated diff
return findMissingUtil(arr, 0, n-1, diff);
}
/* Driver program to check above functions */
int main()
{
int arr[] = {2, 4, 8, 10, 12, 14};
int n = sizeof(arr)/sizeof(arr[0]);
printf("The missing element is %d", findMissing(arr, n));
return 0;
}
Java
// A Java program to find
// the missing number in
// a given arithmetic
// progression
import java.io.*;
class GFG
{
// A binary search based
// recursive function that
// returns the missing
// element in arithmetic
// progression
static int findMissingUtil(int arr[], int low,
int high, int diff)
{
// There must be two elements
// to find the missing
if (high <= low)
return Integer.MAX_VALUE;
// Find index of
// middle element
int mid = low + (high - low) / 2;
// The element just after the
// middle element is missing.
// The arr[mid+1] must exist,
// because we return when
// (low == high) and take
// floor of (high-low)/2
if (arr[mid + 1] - arr[mid] != diff)
return (arr[mid] + diff);
// The element just
// before mid is missing
if (mid > 0 && arr[mid] -
arr[mid - 1] != diff)
return (arr[mid - 1] + diff);
// If the elements till mid follow
// AP, then recur for right half
if (arr[mid] == arr[0] + mid * diff)
return findMissingUtil(arr, mid + 1,
high, diff);
// Else recur for left half
return findMissingUtil(arr, low, mid - 1, diff);
}
// The function uses findMissingUtil()
// to find the missing element in AP.
// It assumes that there is exactly
// one missing element and may give
// incorrect result when there is no
// missing element or more than one
// missing elements. This function also
// assumes that the difference in AP is
// an integer.
static int findMissing(int arr[], int n)
{
// If exactly one element is missing,
// then we can find difference of
// arithmetic progression using
// following formula. Example, 2, 4,
// 6, 10, diff = (10-2)/4 = 2.
// The assumption in formula is that
// the difference is an integer.
int diff = (arr[n - 1] - arr[0]) / n;
// Binary search for the missing
// number using above calculated diff
return findMissingUtil(arr, 0, n - 1, diff);
}
// Driver Code
public static void main (String[] args)
{
int arr[] = {2, 4, 8, 10, 12, 14};
int n = arr.length;
System.out.println("The missing element is "+
findMissing(arr, n));
}
}
// This code is contributed by anuj_67.
Python3
# A Python3 program to find the missing
# number in a given arithmetic progression
import sys
# A binary search based recursive function
# that returns the missing element in
# arithmetic progression
def findMissingUtil(arr, low, high, diff):
# There must be two elements to
# find the missing
if (high <= low):
return sys.maxsize;
# Find index of middle element
mid = int(low + (high - low) / 2);
# The element just after the middle
# element is missing. The arr[mid+1]
# must exist, because we return when
# (low == high) and take floor of
# (high-low)/2
if (arr[mid + 1] - arr[mid] != diff):
return (arr[mid] + diff);
# The element just before mid is missing
if (mid > 0 and arr[mid] -
arr[mid - 1] != diff):
return (arr[mid - 1] + diff);
# If the elements till mid follow AP,
# then recur for right half
if (arr[mid] == arr[0] + mid * diff):
return findMissingUtil(arr, mid + 1,
high, diff);
# Else recur for left half
return findMissingUtil(arr, low,
mid - 1, diff);
# The function uses findMissingUtil() to find
# the missing element in AP. It assumes that
# there is exactly one missing element and may
# give incorrect result when there is no missing
# element or more than one missing elements.
# This function also assumes that the difference
# in AP is an integer.
def findMissing(arr, n):
# If exactly one element is missing, then
# we can find difference of arithmetic
# progression using following formula.
# Example, 2, 4, 6, 10, diff = (10-2)/4 = 2.
# The assumption in formula is that the
# difference is an integer.
diff = int((arr[n - 1] - arr[0]) / n);
# Binary search for the missing number
# using above calculated diff
return findMissingUtil(arr, 0, n - 1, diff);
# Driver Code
arr = [2, 4, 8, 10, 12, 14];
n = len(arr);
print("The missing element is",
findMissing(arr, n));
# This code is contributed by chandan_jnu
C#
// A C# program to find
// the missing number in
// a given arithmetic
// progression
using System;
class GFG
{
// A binary search based
// recursive function that
// returns the missing
// element in arithmetic
// progression
static int findMissingUtil(int []arr, int low,
int high, int diff)
{
// There must be two elements
// to find the missing
if (high <= low)
return int.MaxValue;
// Find index of
// middle element
int mid = low + (high -
low) / 2;
// The element just after the
// middle element is missing.
// The arr[mid+1] must exist,
// because we return when
// (low == high) and take
// floor of (high-low)/2
if (arr[mid + 1] -
arr[mid] != diff)
return (arr[mid] + diff);
// The element just
// before mid is missing
if (mid > 0 && arr[mid] -
arr[mid - 1] != diff)
return (arr[mid - 1] + diff);
// If the elements till mid follow
// AP, then recur for right half
if (arr[mid] == arr[0] +
mid * diff)
return findMissingUtil(arr, mid + 1,
high, diff);
// Else recur for left half
return findMissingUtil(arr, low,
mid - 1, diff);
}
// The function uses findMissingUtil()
// to find the missing element
// in AP. It assumes that there
// is exactly one missing element
// and may give incorrect result
// when there is no missing element
// or more than one missing elements.
// This function also assumes that
// the difference in AP is an integer.
static int findMissing(int []arr, int n)
{
// If exactly one element
// is missing, then we can
// find difference of arithmetic
// progression using following
// formula. Example, 2, 4, 6, 10,
// diff = (10-2)/4 = 2.The assumption
// in formula is that the difference
// is an integer.
int diff = (arr[n - 1] -
arr[0]) / n;
// Binary search for the
// missing number using
// above calculated diff
return findMissingUtil(arr, 0,
n - 1, diff);
}
// Driver Code
public static void Main ()
{
int []arr = {2, 4, 8,
10, 12, 14};
int n = arr.Length;
Console.WriteLine("The missing element is "+
findMissing(arr, n));
}
}
// This code is contributed by anuj_67.
PHP
0 && $arr[$mid] - $arr[$mid - 1] != $diff)
return ($arr[$mid - 1] + $diff);
// If the elements till mid follow AP,
// then recur for right half
if ($arr[$mid] == $arr[0] + $mid * $diff)
return findMissingUtil($arr, $mid + 1,
$high, $diff);
// Else recur for left half
return findMissingUtil($arr, $low, $mid - 1, $diff);
}
// The function uses findMissingUtil() to find
// the missing element in AP. It assumes that
// there is exactly one missing element and may
// give incorrect result when there is no missing
// element or more than one missing elements.
// This function also assumes that the difference
// in AP is an integer.
function findMissing($arr, $n)
{
// If exactly one element is missing, then
// we can find difference of arithmetic
// progression using following formula.
// Example, 2, 4, 6, 10, diff = (10-2)/4 = 2.
// The assumption in formula is that the
// difference is an integer.
$diff = ($arr[$n - 1] - $arr[0]) / $n;
// Binary search for the missing number
// using above calculated diff
return findMissingUtil($arr, 0, $n - 1, $diff);
}
// Driver Code
$arr = array(2, 4, 8, 10, 12, 14);
$n = sizeof($arr);
echo "The missing element is ",
findMissing($arr, $n);
// This code is contributed by Sach_Code
?>
Javascript
输出:
The missing element is 6
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