Using Python to implement the Fibonacci sequence (Fibonacci sequence)Fibonacci sequences are like 1,1,2,3,5,8,13, and so on. In other words, the next value is the sum of the first two values in the sequence. Write a function, give

The T-SQL implementation of the Fibonacci sequence (Fibonacci sequence); withT as (SELECT 1 asNumCAST(1 as BIGINT) asCurrCAST(NULL as BIGINT) asPRVUNION AllSELECTCurr. Num+ 1 asNumCAST( Case whenPrv is NULL ThenCurrELSECurr+PrvEND as BIGINT) asCurrCAST(Curr as BIGINT) asPRV fromT CurrWHERE CAST( Case whenPrv i

Topic Requirements: Write program output Fibonacci number 20 in the console, 5 lines per output
Java programming: Three ways to implement the Fibonacci sequenceOne way:
public class Demo2 {
//define three variable methods public
static void Main (string[] args) {
int a = 1, b = 1, c = 0;
System.out.println ("The first 20 items of the Fibonacci series are:"

A simple Fibonacci sequence, with the following code:# Filename: fibonaci.py# author by: stephendef fib(n): #定义一个函数叫 fib() if n [Python learning] Fibonacci sequence Fibonacci Sequence

Calculate the sum of the First n items of the Fibonacci fractional sequence (N is a constant, and the Fibonacci fractional sequence is 2/1, 3/2, 5/3, 8/5 ,...).
# Include
Stdio. h
>
# Include
Conio. h
>
Void
Main (){
Int
I, N;
Float
F1
=
1
, F2
=
2
, F, Sum
=
0
;Scanf (

*/: Power_n (intAintN) {if(n==0)return 1;Else if(n==1)returnAElse if(n%2==0)returnPower_n (A*a, n>>1) ;Else returnA*power_n(A, n1) ;} can also be used whileRealization: It can be understood that the N power series is expanded, and the cycle I is using the coefficient of the first Order power series. Long Pow1_n (intAintN) {long d=1, T=a; while(n>0) {if(n%2==1) d= (d*t); n>>=1; T=t*t; }returnD;} Here's2The shift operation greatly accelerates the speed. Then for many times the power oper

Algorithm ListIn this paper, the optimal algorithm is found from the perspective of time efficiency and occupied space memory.
Classic recursive algorithm recursive algorithm (very slow)
Dynamic storage algorithm programming (slow)
Matrix Power algorithm exponentiation (FAST)
Multiple formula algorithm fast doubling (soon)
Multiple formula algorithm + fast multiplication fast doubling with Karatsuba (fastest)
Fibonacci Se

In fact, the Fibonacci sequence of things I have learned in elementary school, but only then did not learn so clearly, now let us take a look at the Fibonacci sequence of some algorithms (beginners can see)Fibonacci Series: 0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89, 144, ... [

is equal to the first two months the sum of the large rabbit logarithm. If the N-month large rabbit logarithm is expressed in un, there isUN = un-1 + un-2, n >2 each month the number of large rabbits in the series is: 1,1,2,3,5,8,13,21,34,55,89,144, /c5> this sequence is called the Fibonacci sequence. Recursive method:Using the formula F[n]=f[n-1]

One: Recursive implementationusing the formula F[n]=f[n-1]+f[n-2], recursion is computed sequentially, and the recursive end condition is f[1]=1,f[2]=1.
Two: Array implementationthe space complexity and time complexity are all 0 (n), and the efficiency is generally faster than that of recursion.
Three:vectorthe time complexity is 0 (n), the time complexity is 0 (1), the vector is not known to be highly efficient, of course the vector has its own attributes will occupy resources.
Four:queueof

/** * Title: * There are a pair of rabbits, from the 3rd month after birth, each month has a pair of rabbits, the rabbit long to the third month after the birth of a pair of rabbits each month. * If the rabbit is not dead, ask after month months, how many rabbits total? */public class Fibonacci {//month static Integer month = 3;//NOTE: month > 0public static void Main (string[] args) {Integer pair = f (month); System.out.println ("A: after" + month +

One: Recursive implementation
Using the formula F[n]=f[n-1]+f[n-2], recursive calculation in turn, the recursive end condition is f[1]=1,f[2]=1.
Two: Array implementation
Spatial complexity and time complexity are all 0 (n), which is more efficient and faster than recursion.
Three:vectorTime complexity is 0 (n), time complexity is 0 (1), is not aware of vector efficiency is not high, of course, Vector has its own properties will occupy resources.
Four:queueOf course the queue is more suitable th

added 10 times and then the loop is ended. In the case of Max, there is only one while a Function 3:1 def fibs (n): 2 0,13 result = []4while a N:5 result.append (b)6a b = b,a + b7 return resultFunction 2 and function 3 is almost, function 2 is each additional number to print out, function 3 is added to the result of each additional number, the final output result.Function 4: Using recursion1 def Fab (n): 2 if n==1:3 return 14 if n==0:5 return 06

JS algorithm set (ii) Fibonacci sequence, Yang Hui triangle★Last time I shared with you the idea of how to do the number of daffodils, and extended it to the algorithm of the self-power number, this time, we will study the Fibonacci sequence and the Yang Hui triangle to deepen our understanding of JavaScript.First,Java

JS algorithm set (ii) Fibonacci sequence★Last time I shared with you the idea of how to do the number of daffodils, and extended it to the algorithm of the self-power number, this time, we will study the Fibonacci sequence to deepen our understanding of the cycle.JavaScript implements the

#include int main (){int a = 0;int b = 0;scanf ("%d", a);b = fib (a);printf ("%d\n", b);System ("pause");return 0;}int fib (int n){int NUM1 = 1;int num2 = 1;int num3 = 0;if (n {return 1;}Else{while (n > 2){num3 = Num1 + num2;NUM1 = num2;num2 = num3;n--;}}return num3;}This article is from the "0-point Time" blog, please make sure to keep this source http://10741764.blog.51cto.com/10731764/1711221No recursive method is used to implement the Fibonacci

The Fibonacci sequence , also known as the Golden Section , refers to a sequence of numbers 0, 1, 1, 2, 3, 5, 8, 13, and 、...... In mathematics, the Fibonacci sequence is defined as follows : F (0) =0,f (1) =1,f (n) =f (n-1) +f (n-2) (n≥2,n∈n*) in modern physics, quasi-cryst

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