JavaScript数据结构22—简单的查找算法
2017-04-08 本文已影响0人
RichardW
以下算法包括了
- 顺序查找
- 插值查找
- 二分查找
- 斐波那契查找
//查找算法
//顺序表查找
Array.prototype.sequential_search = function(key) {
var count = 0;
for (var i = 0; i < this.length; i++) {
count++;
if(this[i]==key){
return {index:i,count:count};
}
}
return -1;
}
//有序表查找
Array.prototype.binary_search = function(key){
var low = 0;
var high = this.length - 1;
var mid,count = 0;
while(low<=high){
count++;
mid = parseInt((low+high)/2);
if(key<this[mid]){
high = mid-1;
}else if(key>this[mid]){
low = mid+1;
}else{
return {index:mid,count:count}
}
}
}
//插值查找
Array.prototype.insert_search = function(key){
var low = 0;
var high = this.length - 1;
var mid,count = 0;
while(low<=high){
count++;
mid = low + parseInt((high-low)*(key-this[low])/(this[high]-this[low]));
if(key<this[mid]){
high = mid-1;
}else if(key>this[mid]){
low = mid+1;
}else{
return {index:mid,count:count}
}
}
}
//斐波那契查找 原理 F[K]-1 = F[K-1]-1+F[K-2]-1 + 1
Array.prototype.fibonacci_search = function(key){
function F(k){
if(k==0||k==1){
return k;
}
if(k==2){
return 1;
}
var a=1,b=1,res;
for(var i=3;i<=k;i++){
res = a + b;
a = b;
b = res;
}
return res;
}
var low = 0;
var high = this.length - 1;
var k = 0,count = 0;
while(this.length>F(k)){
k++;
count++;
}
for (var i = this.length; i < F(k)-1; i++) {
this[i] = this[this.length-1];
count++;
}
while(low<=high){
count++;
mid = low+F(k-1)-1;
if(key<this[mid]){
high = mid-1;
k = k - 1;
}else if(key>this[mid]){
low = mid+1;
k = k-2;
}else{
if(mid<=this.length){
return {index:mid,count:count};
}else{
return -1;
}
}
}
return 0 ;
}
var array1 = [];
var array1Index = 0
for (var i = 0; i < 1000; i++) {
array1Index += parseInt(Math.random()*10)+1;
array1[i] = array1Index;
}
console.info(array1);
console.info(array1.binary_search(array1[5]));
console.info(array1.sequential_search(array1[5]));
console.info(array1.insert_search(array1[5]));
console.info(array1.fibonacci_search(array1[5]));
输出
{ index: 5, count: 10 }
{ index: 5, count: 6 }
{ index: 5, count: 3 }
{ index: 5, count: 627 }
[Finished in 0.1s]