Description
The Tribonacci sequence Tn is defined as follows:
T0 = 0, T1 = 1, T2 = 1, and Tn+3 = Tn + Tn+1 + Tn+2 for n >= 0.
Given n, return the value of Tn.
Example 1:
Input: n = 4
Output: 4
Explanation:
T_3 = 0 + 1 + 1 = 2
T_4 = 1 + 1 + 2 = 4
Example 2:
Input: n = 25
Output: 1389537
Constraints:
0 <= n <= 37
- The answer is guaranteed to fit within a 32-bit integer, ie.
answer <= 2^31 - 1.
Solutions
Solution 1: Dynamic Programming
According to the recurrence relation given in the problem, we can use dynamic programming to solve it.
We define three variables a, b, c to represent Tn-3, Tn-2, Tn-1, respectively, with initial values of 0, 1, 1.
Then we decrease n to 0, updating the values of a, b, c each time, until n is 0, at which point the answer is a.
The time complexity is O(n), and the space complexity is O(1). Here, n is the given integer.
PythonJavaC++GoTypeScriptJavaScriptPHP
class Solution:
def tribonacci(self, n: int) -> int:
a, b, c = 0, 1, 1
for _ in range(n):
a, b, c = b, c, a + b + c
return a(code-box)
class Solution {
public int tribonacci(int n) {
int a = 0, b = 1, c = 1;
while (n-- > 0) {
int d = a + b + c;
a = b;
b = c;
c = d;
}
return a;
}
}(code-box)
class Solution {
public:
int tribonacci(int n) {
long long a = 0, b = 1, c = 1;
while (n--) {
long long d = a + b + c;
a = b;
b = c;
c = d;
}
return (int) a;
}
};(code-box)
func tribonacci(n int) int {
a, b, c := 0, 1, 1
for i := 0; i < n; i++ {
a, b, c = b, c, a+b+c
}
return a
}(code-box)
function tribonacci(n: number): number {
let [a, b, c] = [0, 1, 1];
while (n--) {
let d = a + b + c;
a = b;
b = c;
c = d;
}
return a;
}(code-box)
/**
* @param {number} n
* @return {number}
*/
var tribonacci = function (n) {
let a = 0;
let b = 1;
let c = 1;
while (n--) {
let d = a + b + c;
a = b;
b = c;
c = d;
}
return a;
};(code-box)
class Solution {
/**
* @param Integer $n
* @return Integer
*/
function tribonacci($n) {
$a = 0;
$b = 1;
$c = 1;
while ($n--) {
$d = $a + $b + $c;
$a = $b;
$b = $c;
$c = $d;
}
return $a;
}
}(code-box)
Solution 2: Matrix Exponentiation to Accelerate Recurrence
We define Tib(n) as a 1 × 3 matrix \begin{bmatrix} Tn & Tn - 1 & Tn - 2 \end{bmatrix}, where Tn, Tn - 1 and Tn - 2 represent the nth, (n - 1)th and (n - 2)th Tribonacci numbers, respectively.
We hope to derive Tib(n) from Tib(n-1) = \begin{bmatrix} Tn - 1 & Tn - 2 & Tn - 3 \end{bmatrix}. That is, we need a matrix base such that Tib(n - 1) × base = Tib(n), i.e.,
\begin{bmatrix}
Tn - 1 & Tn - 2 & Tn - 3
\end{bmatrix} × base = \begin{bmatrix} Tn & Tn - 1 & Tn - 2 \end{bmatrix}
Since Tn = Tn - 1 + Tn - 2 + Tn - 3, the matrix base is:
\begin{bmatrix}
1 & 1 & 0 \
1 & 0 & 1 \
1 & 0 & 0
\end{bmatrix}
We define the initial matrix res = \begin{bmatrix} 1 & 1 & 0 \end{bmatrix}, then Tn is equal to the sum of all elements in the result matrix of res multiplied by basen - 3. This can be solved using matrix exponentiation.
The time complexity is O(log n), and the space complexity is O(1).
PythonJavaC++GoTypeScriptJavaScriptPHP
import numpy as np
class Solution:
def tribonacci(self, n: int) -> int:
if n == 0:
return 0
if n < 3:
return 1
factor = np.asmatrix([(1, 1, 0), (1, 0, 1), (1, 0, 0)], np.dtype("O"))
res = np.asmatrix([(1, 1, 0)], np.dtype("O"))
n -= 3
while n:
if n & 1:
res *= factor
factor *= factor
n >>= 1
return res.sum()(code-box)
class Solution {
public int tribonacci(int n) {
if (n == 0) {
return 0;
}
if (n < 3) {
return 1;
}
int[][] a = {{1, 1, 0}, {1, 0, 1}, {1, 0, 0}};
int[][] res = pow(a, n - 3);
int ans = 0;
for (int x : res[0]) {
ans += x;
}
return ans;
}
private int[][] mul(int[][] a, int[][] b) {
int m = a.length, n = b[0].length;
int[][] c = new int[m][n];
for (int i = 0; i < m; ++i) {
for (int j = 0; j < n; ++j) {
for (int k = 0; k < b.length; ++k) {
c[i][j] += a[i][k] * b[k][j];
}
}
}
return c;
}
private int[][] pow(int[][] a, int n) {
int[][] res = {{1, 1, 0}};
while (n > 0) {
if ((n & 1) == 1) {
res = mul(res, a);
}
a = mul(a, a);
n >>= 1;
}
return res;
}
}(code-box)
class Solution {
public:
int tribonacci(int n) {
if (n == 0) {
return 0;
}
if (n < 3) {
return 1;
}
vector<vector<ll>> a = {{1, 1, 0}, {1, 0, 1}, {1, 0, 0}};
vector<vector<ll>> res = pow(a, n - 3);
return accumulate(res[0].begin(), res[0].end(), 0);
}
private:
using ll = long long;
vector<vector<ll>> mul(vector<vector<ll>>& a, vector<vector<ll>>& b) {
int m = a.size(), n = b[0].size();
vector<vector<ll>> c(m, vector<ll>(n));
for (int i = 0; i < m; ++i) {
for (int j = 0; j < n; ++j) {
for (int k = 0; k < b.size(); ++k) {
c[i][j] += a[i][k] * b[k][j];
}
}
}
return c;
}
vector<vector<ll>> pow(vector<vector<ll>>& a, int n) {
vector<vector<ll>> res = {{1, 1, 0}};
while (n) {
if (n & 1) {
res = mul(res, a);
}
a = mul(a, a);
n >>= 1;
}
return res;
}
};(code-box)
func tribonacci(n int) (ans int) {
if n == 0 {
return 0
}
if n < 3 {
return 1
}
a := [][]int{{1, 1, 0}, {1, 0, 1}, {1, 0, 0}}
res := pow(a, n-3)
for _, x := range res[0] {
ans += x
}
return
}
func mul(a, b [][]int) [][]int {
m, n := len(a), len(b[0])
c := make([][]int, m)
for i := range c {
c[i] = make([]int, n)
}
for i := 0; i < m; i++ {
for j := 0; j < n; j++ {
for k := 0; k < len(b); k++ {
c[i][j] += a[i][k] * b[k][j]
}
}
}
return c
}
func pow(a [][]int, n int) [][]int {
res := [][]int{{1, 1, 0}}
for n > 0 {
if n&1 == 1 {
res = mul(res, a)
}
a = mul(a, a)
n >>= 1
}
return res
}(code-box)
function tribonacci(n: number): number {
if (n === 0) {
return 0;
}
if (n < 3) {
return 1;
}
const a = [
[1, 1, 0],
[1, 0, 1],
[1, 0, 0],
];
return pow(a, n - 3)[0].reduce((a, b) => a + b);
}
function mul(a: number[][], b: number[][]): number[][] {
const [m, n] = [a.length, b[0].length];
const c = Array.from({ length: m }, () => Array.from({ length: n }, () => 0));
for (let i = 0; i < m; ++i) {
for (let j = 0; j < n; ++j) {
for (let k = 0; k < b.length; ++k) {
c[i][j] += a[i][k] * b[k][j];
}
}
}
return c;
}
function pow(a: number[][], n: number): number[][] {
let res = [[1, 1, 0]];
while (n) {
if (n & 1) {
res = mul(res, a);
}
a = mul(a, a);
n >>= 1;
}
return res;
}(code-box)
/**
* @param {number} n
* @return {number}
*/
var tribonacci = function (n) {
if (n === 0) {
return 0;
}
if (n < 3) {
return 1;
}
const a = [
[1, 1, 0],
[1, 0, 1],
[1, 0, 0],
];
return pow(a, n - 3)[0].reduce((a, b) => a + b);
};
function mul(a, b) {
const [m, n] = [a.length, b[0].length];
const c = Array.from({ length: m }, () => Array.from({ length: n }, () => 0));
for (let i = 0; i < m; ++i) {
for (let j = 0; j < n; ++j) {
for (let k = 0; k < b.length; ++k) {
c[i][j] += a[i][k] * b[k][j];
}
}
}
return c;
}
function pow(a, n) {
let res = [[1, 1, 0]];
while (n) {
if (n & 1) {
res = mul(res, a);
}
a = mul(a, a);
n >>= 1;
}
return res;
}(code-box)
class Solution {
/**
* @param Integer $n
* @return Integer
*/
function tribonacci($n) {
if ($n === 0) {
return 0;
}
if ($n < 3) {
return 1;
}
$a = [[1, 1, 0], [1, 0, 1], [1, 0, 0]];
$res = $this->pow($a, $n - 3);
return array_sum($res[0]);
}
private function mul($a, $b) {
$m = count($a);
$n = count($b[0]);
$p = count($b);
$c = array_fill(0, $m, array_fill(0, $n, 0));
for ($i = 0; $i < $m; ++$i) {
for ($j = 0; $j < $n; ++$j) {
for ($k = 0; $k < $p; ++$k) {
$c[$i][$j] += $a[$i][$k] * $b[$k][$j];
}
}
}
return $c;
}
private function pow($a, $n) {
$res = [[1, 1, 0]];
while ($n > 0) {
if ($n & 1) {
$res = $this->mul($res, $a);
}
$a = $this->mul($a, $a);
$n >>= 1;
}
return $res;
}
}(code-box)