乐趣区

JS模拟排序算法和搜索算法

jiezi

Typescript 版本的排序和搜索算法

排序算法

算法中用到的公共函数 

const Compare = {
  LESS_THAN: -1,
  BIGGER_THAN: 1,
  EQUALS: 0
};

const DOES_NOT_EXIST = -1;

function lesserEquals(a, b, compareFn) {const comp = compareFn(a, b);
  return comp === Compare.LESS_THAN || comp === Compare.EQUALS;
}

function biggerEquals(a, b, compareFn) {const comp = compareFn(a, b);
  return comp === Compare.BIGGER_THAN || comp === Compare.EQUALS;
}

function defaultCompare(a, b) {if (a === b) {return Compare.EQUALS;}
  return a < b ? Compare.LESS_THAN : Compare.BIGGER_THAN;
}

function defaultEquals(a, b) {return a === b;}

function defaultToString(item) {if (item === null) {return 'NULL';} else if (item === undefined) {return 'UNDEFINED';} else if (typeof item === 'string' || item instanceof String) {return `${item}`;
  }
  return item.toString();}

function swap(array, a, b) {[array[a], array[b]] = [array[b], array[a]];
}
function reverseCompare(compareFn) {return (a, b) => compareFn(b, a);
}

function defaultDiff(a, b) {return Number(a) - Number(b);
}

冒泡排序 

function bubbleSort(array, compareFn = defaultCompare) {const { length} = array;
  for (let i = 0; i < length; i++) {// console.log('---');
    for (let j = 0; j < length - 1; j++) {// console.log('compare' + array[j] + 'with' + array[j + 1]);
      if (compareFn(array[j], array[j + 1]) === Compare.BIGGER_THAN) {// console.log('swap' + array[j] + 'with' + array[j + 1]);
        swap(array, j, j + 1);
      }
    }
  }
  return array;
}

改进的冒泡排序 (减少中间比较)

function modifiedBubbleSort(array, compareFn = defaultCompare) {const { length} = array;
  for (let i = 0; i < length; i++) {// console.log('---');
    for (let j = 0; j < length - 1 - i; j++) {// console.log('compare' + array[j] + 'with' + array[j + 1]);
      if (compareFn(array[j], array[j + 1]) === Compare.BIGGER_THAN) {// console.log('swap' + array[j] + 'with' + array[j + 1]);
        swap(array, j, j + 1);
      }
    }
  }
  return array;
}

选择排序 

function selectionSort (array, compareFn = defaultCompare) => {const { length} = array;
  let indexMin;
  for (let i = 0; i < length - 1; i++) {
    indexMin = i;
    // console.log('index' + array[i]);
    for (let j = i; j < length; j++) {if (compareFn(array[indexMin], array[j]) === Compare.BIGGER_THAN) {// console.log('new index min' + array[j]);
        indexMin = j;
      }
    }
    if (i !== indexMin) {// console.log('swap' + array[i] + 'with' + array[indexMin]);
      swap(array, i, indexMin);
    }
  }
  return array;
};

插入排序 

function insertionSort (array, compareFn = defaultCompare) => {const { length} = array;
  let temp;
  for (let i = 1; i < length; i++) {
    let j = i;
    temp = array[i];
    // console.log('to be inserted' + temp);
    while (j > 0 && compareFn(array[j - 1], temp) === Compare.BIGGER_THAN) {// console.log('shift' + array[j - 1]);
      array[j] = array[j - 1];
      j--;
    }
    // console.log('insert' + temp);
    array[j] = temp;
  }
  return array;
};

归并排序 

function merge(left, right, compareFn) {
  let i = 0;
  let j = 0;
  const result = [];
  while (i < left.length && j < right.length) {result.push(compareFn(left[i], right[j]) === Compare.LESS_THAN ? left[i++] : right[j++]);
  }
  return result.concat(i < left.length ? left.slice(i) : right.slice(j));
}
function mergeSort(array, compareFn = defaultCompare) {if (array.length > 1) {const { length} = array;
    const middle = Math.floor(length / 2);
    const left = mergeSort(array.slice(0, middle), compareFn);
    const right = mergeSort(array.slice(middle, length), compareFn);
    array = merge(left, right, compareFn);
  }
  return array;
}

快速排序 

 // 划分过程
function partition(array, left, right, compareFn) {const pivot = array[Math.floor((right + left) / 2)];
  let i = left;
  let j = right;

  while (i <= j) {while (compareFn(array[i], pivot) === Compare.LESS_THAN) {i++;}
    while (compareFn(array[j], pivot) === Compare.BIGGER_THAN) {j--;}
    if (i <= j) {swap(array, i, j);
      i++;
      j--;
    }
  }
  return i;
}
function quick(array, left, right, compareFn) {
  let index;
  if (array.length > 1) {index = partition(array, left, right, compareFn);
    if (left < index - 1) {quick(array, left, index - 1, compareFn);
    }
    if (index < right) {quick(array, index, right, compareFn);
    }
  }
  return array;
}
function quickSort(array, compareFn = defaultCompare) {return quick(array, 0, array.length - 1, compareFn);
}

计数排序 

function countingSort(array) {if (array.length < 2) {return array;}
  const maxValue = findMaxValue(array);
  let sortedIndex = 0;
  const counts = new Array(maxValue + 1);
  array.forEach(element => {if (!counts[element]) {counts[element] = 0;
    }
    counts[element]++;
  });
  // console.log('Frequencies:' + counts.join());
  counts.forEach((element, i) => {while (element > 0) {array[sortedIndex++] = i;
      element--;
    }
  });
  return array;
}

桶排序 

// 引入前面的插入排序
import {insertionSort} from './insertion-sort';

function createBuckets(array, bucketSize) {let minValue = array[0];
  let maxValue = array[0];
  for (let i = 1; i < array.length; i++) {if (array[i] < minValue) {minValue = array[i];
    } else if (array[i] > maxValue) {maxValue = array[i];
    }
  }
  const bucketCount = Math.floor((maxValue - minValue) / bucketSize) + 1;
  const buckets = [];
  for (let i = 0; i < bucketCount; i++) {buckets[i] = [];}
  for (let i = 0; i < array.length; i++) {buckets[Math.floor((array[i] - minValue) / bucketSize)].push(array[i]);
  }
  return buckets;
}
function sortBuckets(buckets) {const sortedArray = [];
  for (let i = 0; i < buckets.length; i++) {if (buckets[i] != null) {insertionSort(buckets[i]);
      sortedArray.push(...buckets[i]);
    }
  }
  return sortedArray;
}
function bucketSort(array, bucketSize = 5) {if (array.length < 2) {return array;}
  const buckets = createBuckets(array, bucketSize);
  return sortBuckets(buckets);
}

基数排序 

function findMaxValue(array, compareFn = defaultCompare) {if (array && array.length > 0) {let max = array[0];
    for (let i = 1; i < array.length; i++) {if (compareFn(max, array[i]) === Compare.LESS_THAN) {max = array[i];
      }
    }
    return max;
  }
  return undefined;
}
function findMinValue(array, compareFn = defaultCompare) {if (array && array.length > 0) {let min = array[0];
    for (let i = 1; i < array.length; i++) {if (compareFn(min, array[i]) === Compare.BIGGER_THAN) {min = array[i];
      }
    }
    return min;
  }
  return undefined;
}

const getBucketIndex = (value, minValue, significantDigit, radixBase) =>
  Math.floor(((value - minValue) / significantDigit) % radixBase);

const countingSortForRadix = (array, radixBase, significantDigit, minValue) => {
  let bucketsIndex;
  const buckets = [];
  const aux = [];
  for (let i = 0; i < radixBase; i++) {buckets[i] = 0;
  }
  for (let i = 0; i < array.length; i++) {bucketsIndex = getBucketIndex(array[i], minValue, significantDigit, radixBase);
    buckets[bucketsIndex]++;
  }
  for (let i = 1; i < radixBase; i++) {buckets[i] += buckets[i - 1];
  }
  for (let i = array.length - 1; i >= 0; i--) {bucketsIndex = getBucketIndex(array[i], minValue, significantDigit, radixBase);
    aux[--buckets[bucketsIndex]] = array[i];
  }
  for (let i = 0; i < array.length; i++) {array[i] = aux[i];
  }
  return array;
};
function radixSort(array, radixBase = 10) {if (array.length < 2) {return array;}
  const minValue = findMinValue(array);
  const maxValue = findMaxValue(array);
  // Perform counting sort for each significant digit, starting at 1
  let significantDigit = 1;
  while ((maxValue - minValue) / significantDigit >= 1) {array = countingSortForRadix(array, radixBase, significantDigit, minValue);
    significantDigit *= radixBase;
  }
  return array;
}

搜索算法

顺序搜索 

function sequentialSearch(array, value, equalsFn = defaultEquals) {for (let i = 0; i < array.length; i++) {if (equalsFn(value, array[i])) {return i;}
  }
  return DOES_NOT_EXIST;
}

二分搜索 

// 引入文章前面的快速排序方法
import {quickSort} from 'quicksort';

function binarySearch(array, value, compareFn = defaultCompare) {const sortedArray = quickSort(array);
  let low = 0;
  let high = sortedArray.length - 1;
  while (low <= high) {const mid = Math.floor((low + high) / 2);
    const element = sortedArray[mid];
    // console.log('mid element is' + element);
    if (compareFn(element, value) === Compare.LESS_THAN) {
      low = mid + 1;
      // console.log('low is' + low);
    } else if (compareFn(element, value) === Compare.BIGGER_THAN) {
      high = mid - 1;
      // console.log('high is' + high);
    } else {// console.log('found it');
      return mid;
    }
  }
  return DOES_NOT_EXIST;
}

内插搜索 

// 引入前面的工具函数和相关变量
import {
  biggerEquals,
  Compare,
  defaultCompare,
  defaultEquals,
  defaultDiff,
  DOES_NOT_EXIST,
  lesserEquals
} from '../../util';

function interpolationSearch(
  array,
  value,
  compareFn = defaultCompare,
  equalsFn = defaultEquals,
  diffFn = defaultDiff
) {const { length} = array;
  let low = 0;
  let high = length - 1;
  let position = -1;
  let delta = -1;
  while (
    low <= high &&
    biggerEquals(value, array[low], compareFn) &&
    lesserEquals(value, array[high], compareFn)
  ) {delta = diffFn(value, array[low]) / diffFn(array[high], array[low]);
    position = low + Math.floor((high - low) * delta);
    if (equalsFn(array[position], value)) {return position;}
    if (compareFn(array[position], value) === Compare.LESS_THAN) {low = position + 1;} else {high = position - 1;}
  }
  return DOES_NOT_EXIST;
}

随机算法 Fisher—Yates(洗扑克牌)

function shuffle(array) {for(let i=array.length;i>0;i--) {const randomIndex = Math.floor(Math.random()*(i+1));
        swap(array, i, randomIndex);
    }
    return array;
}
退出移动版