文件名称:shunxubiao-and-lianbiao
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(1).对于顺序存储的线性表,请实现以下功能:
1)实现二路归并排序算法。
2)实现快速排序算法。
3)实现堆排序算法。
4)实现冒泡排序和选择排序算法
(2).已知长度为n的线性表A采用顺序存储结构,请写一时间复杂度为0(n)、空间复杂度为0(1)的算法,该算法删除线性表中所有值为item的数据元素。要求:线性表元素个数n很大,而值为item的数据元素个数很少,要求移动元素个数尽量少;删除后的数组元素与原数组元素不必保持顺序一致。
(3).编写一个主函数,调试上述算法。注:需要额外设计一个线性表初始化的函数。
(4). 对上述五个排序算法,使用两个长度为一千万的线性表分别测试其性能,记录其运行时间(生成线性表的时间不计算在内)。第一个:线性表内的元素值随机生成;第二个:线性表的第i个元素值为i,即本来就有序。-( 1 ) . For linear sequence of storage table, the following functions:
1 ) to achieve two-way merge sort algorithm .
2 ) fast sorting algorithm.
3 ) to achieve heap sort algorithm.
4 ) to achieve bubble sort and selection sort algorithm
( 2 ) . Known linear meter of length n A sequential storage structure , please write a time complexity of 0 (n), space complexity is O (1 ) of the algorithm, which deletes all the values of the linear form item data elements . Requirements: linear form n large number of elements , while the number of elements is very little data item , and the number of elements required to move as little as possible array elements deleted after the original order of the array elements do not have to be consistent .
( 3 ) . Write a main function, debug these algorithms. Note : requires additional design a linear table initialization function .
( 4 ) For the five sorting algorithms , using two lengths of ten million linear tables were tested for pe
1)实现二路归并排序算法。
2)实现快速排序算法。
3)实现堆排序算法。
4)实现冒泡排序和选择排序算法
(2).已知长度为n的线性表A采用顺序存储结构,请写一时间复杂度为0(n)、空间复杂度为0(1)的算法,该算法删除线性表中所有值为item的数据元素。要求:线性表元素个数n很大,而值为item的数据元素个数很少,要求移动元素个数尽量少;删除后的数组元素与原数组元素不必保持顺序一致。
(3).编写一个主函数,调试上述算法。注:需要额外设计一个线性表初始化的函数。
(4). 对上述五个排序算法,使用两个长度为一千万的线性表分别测试其性能,记录其运行时间(生成线性表的时间不计算在内)。第一个:线性表内的元素值随机生成;第二个:线性表的第i个元素值为i,即本来就有序。-( 1 ) . For linear sequence of storage table, the following functions:
1 ) to achieve two-way merge sort algorithm .
2 ) fast sorting algorithm.
3 ) to achieve heap sort algorithm.
4 ) to achieve bubble sort and selection sort algorithm
( 2 ) . Known linear meter of length n A sequential storage structure , please write a time complexity of 0 (n), space complexity is O (1 ) of the algorithm, which deletes all the values of the linear form item data elements . Requirements: linear form n large number of elements , while the number of elements is very little data item , and the number of elements required to move as little as possible array elements deleted after the original order of the array elements do not have to be consistent .
( 3 ) . Write a main function, debug these algorithms. Note : requires additional design a linear table initialization function .
( 4 ) For the five sorting algorithms , using two lengths of ten million linear tables were tested for pe
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