You're working on a mathematical sequence generator that produces numbers with specific prime factorization properties.
An ugly number is a positive integer whose prime factors are limited to 2
, 3
, and 5
.
Given an integer n
, return the n
th ugly number in the sequence, where 1
is the first ugly number.
Input: n = 10
Output: 12
Explanation: [1, 2, 3, 4, 5, 6, 8, 9, 10, 12] is the sequence of the first 10 ugly numbers.
Input: n = 1
Output: 1
Explanation: 1 has no prime factors, therefore all of its prime factors are limited to 2, 3, and 5.
To solve this problem, we need to:
Apply string manipulation concepts to solve a real-world problem.
You're working on a mathematical sequence generator that produces numbers with specific prime factorization properties.
An ugly number is a positive integer whose prime factors are limited to 2
, 3
, and 5
.
Given an integer n
, return the n
th ugly number in the sequence, where 1
is the first ugly number.
[1, 2, 3, 4, 5, 6, 8, 9, 10, 12] is the sequence of the first 10 ugly numbers.
1 has no prime factors, therefore all of its prime factors are limited to 2, 3, and 5.
Every ugly number (except 1) can be generated by multiplying a previous ugly number by either 2, 3, or 5
We can use dynamic programming to generate the sequence of ugly numbers
To avoid duplicates, we need to keep track of which previous ugly numbers have been multiplied by 2, 3, and 5
The key insight is to maintain three pointers to track which previous ugly numbers to multiply by 2, 3, and 5
A min heap can also be used to efficiently find the next ugly number in the sequence
The problem can be solved in O(n) time and O(n) space
This problem has several practical applications:
Studying sequences with specific prime factorization properties in mathematical research.
Generating sequences with specific properties for cryptographic applications.
Modeling systems where only certain factors contribute to outcomes.
Creating models where growth is limited to specific multiplicative factors.
Studying efficient ways to generate sequences with specific constraints.
You're working on a mathematical sequence generator that produces numbers with specific prime factorization properties.
An ugly number is a positive integer whose prime factors are limited to 2
, 3
, and 5
.
Given an integer n
, return the n
th ugly number in the sequence, where 1
is the first ugly number.
Input: n = 10
Output: 12
Explanation: [1, 2, 3, 4, 5, 6, 8, 9, 10, 12] is the sequence of the first 10 ugly numbers.
Input: n = 1
Output: 1
Explanation: 1 has no prime factors, therefore all of its prime factors are limited to 2, 3, and 5.
To solve this problem, we need to:
Apply string manipulation concepts to solve a real-world problem.
You're working on a mathematical sequence generator that produces numbers with specific prime factorization properties.
An ugly number is a positive integer whose prime factors are limited to 2
, 3
, and 5
.
Given an integer n
, return the n
th ugly number in the sequence, where 1
is the first ugly number.
[1, 2, 3, 4, 5, 6, 8, 9, 10, 12] is the sequence of the first 10 ugly numbers.
1 has no prime factors, therefore all of its prime factors are limited to 2, 3, and 5.
Every ugly number (except 1) can be generated by multiplying a previous ugly number by either 2, 3, or 5
We can use dynamic programming to generate the sequence of ugly numbers
To avoid duplicates, we need to keep track of which previous ugly numbers have been multiplied by 2, 3, and 5
The key insight is to maintain three pointers to track which previous ugly numbers to multiply by 2, 3, and 5
A min heap can also be used to efficiently find the next ugly number in the sequence
The problem can be solved in O(n) time and O(n) space
This problem has several practical applications:
Studying sequences with specific prime factorization properties in mathematical research.
Generating sequences with specific properties for cryptographic applications.
Modeling systems where only certain factors contribute to outcomes.
Creating models where growth is limited to specific multiplicative factors.
Studying efficient ways to generate sequences with specific constraints.