Codility Lesson 03
Lesson 3
3.1 - Frog Jump
A small frog wants to get to the other side of the road. The frog is currently located at position X
and wants to get to a position greater than or equal to Y
. The small frog always jumps a fixed distance, D
.
Count the minimal number of jumps that the small frog must perform to reach its target.
Write a function:
class Solution
{
public int solution(int X, int Y, int D);
}
that, given three integers X
, Y
and D
, returns the minimal number of jumps from position X
to a position equal to or greater than Y
.
For example, given:
X = 10 Y = 85 D = 30
the function should return 3
, because the frog will be positioned as follows:
after the first jump, at position 10 + 30 = 40
after the second jump, at position 10 + 30 + 30 = 70
after the third jump, at position 10 + 30 + 30 + 30 = 100
Write an efficient algorithm for the following assumptions:
X
,Y
andD
are integers within the range[1..1,000,000,000]
;X ≤ Y
.
3.2 - Perm Missing Element
An array A
consisting of N
different integers is given. The array contains integers in the range [1..(N + 1)]
, which means that exactly one element is missing.
Your goal is to find that missing element.
Write a function:
class Solution
{
public int solution(int[] A);
}
that, given an array A
, returns the value of the missing element.
For example, given array A
such that:
A[0] = 2 A[1] = 3 A[2] = 1 A[3] = 5
the function should return 4, as it is the missing element.
Write an efficient algorithm for the following assumptions:
N
is an integer within the range[0..100,000]
;- the elements of
A
are all distinct; - each element of array
A
is an integer within the range[1..(N + 1)]
.
3.3 - Tape Equilibrium
A non-empty array A
consisting of N
integers is given. Array A
represents numbers on a tape.
Any integer P
, such that 0 < P < N
, splits this tape into two non-empty parts: A[0], A[1], ..., A[P − 1]
and A[P], A[P + 1], ..., A[N − 1]
.
The difference between the two parts is the value of: |(A[0] + A[1] + ... + A[P − 1]) − (A[P] + A[P + 1] + ... + A[N − 1])|
In other words, it is the absolute difference between the sum of the first part and the sum of the second part.
For example, consider array A
such that:
A[0] = 3 A[1] = 1 A[2] = 2 A[3] = 4 A[4] = 3
We can split this tape in four places:
P = 1
, difference = |3 − 10| = 7
P = 2
, difference = |4 − 9| = 5
P = 3
, difference = |6 − 7| = 1
P = 4
, difference = |10 − 3| = 7
Write a function:
class Solution
{
public int solution(int[] A);
}
that, given a non-empty array A
of N
integers, returns the minimal difference that can be achieved.
For example, given:
A[0] = 3 A[1] = 1 A[2] = 2 A[3] = 4 A[4] = 3
the function should return 1
, as explained above.
Write an efficient algorithm for the following assumptions:
N
is an integer within the range[2..100,000]
;- each element of array
A
is an integer within the range[−1,000..1,000]
.
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