John determine the minimum amount of money he can spend to createNPlanks. fj knows that he can cut the board in varous different orders which will result in different charges since the resulting intermediate planks are of different lengths.
InputLine 1: One integer
N, The number of planks
Lines 2 ..
N+ 1: each line contains a single integer describing the length of a needed plank
OutputLine 1: One INTEGER: the minimum amount of money he must spend to make
N-1 cuts
Sample Input
3858
Sample outpu
* * Huffman code-CHAIN structure * * Function implementation: * Source file character Fu Quan value validation operation * Huffman tree set up operation * Character dictionary set up operations * source file transcoding operation * Binary file decoding operation * File output operation * Memory cleanup operation * * #includ
E
Problem Description recently, Bob has just learnt a naive sorting algorithm:merge sort. Now, Bob receives a task from Alice.
Alice would give Bob N sorted sequences, and the i-th sequence includes AI elements. Bob need to merge all of these sequences. He can write a program, which can merge no more than K sequences in one time. The cost of a merging operation is the sum of the length of these sequences. Unfortunately, Alice allows this program to use the no more than T cost. So Bob wants to know
heap to get a new heap, which consumes 12 of the energy. So Xiao Ming spent a total of physical =3+12=15, can prove that 15 is the minimum physical consumption value.
Input:
Each set of data input consists of two rows, the first line is an integer n (1
Output:
For each set of inputs, output an integer and wrap the value, which is the minimum physical cost. The input data guarantees that this value is less than 2^3
#include Operation Result: Copyright NOTICE: This article for Bo Master original article, without Bo Master permission not reproduced. Huffman Tree Realization
This example for you to share the Huffman tree Java code for your reference, the specific contents are as follows
Package boom;
Import Java.util.ArrayDeque;
Import java.util.ArrayList;
Import java.util.Collections;
Import java.util.List;
Import Java.util.Queue;
Class Node
The above is the entire content of this article, I hope to help you learn, but also hope that we support the cloud habitat
), where the first row of 2 positive integers represents the n heap of fruit and the maximum number of heaps of m that can be combined each time the merge, starting with n numbers from the second row, representing the weight of the N heap fruit (1~500), separated by a space between the number and the number.Output contains only a positive integer that represents the minimum total cost required to combine the n heap of fruit into 1 heaps.Sample Input
7 3
45 13 12 16 9 5 22
Sample Output
This
Use Java to create Huffman tree code as follows:
Note All in the code said, the specific principle is very simple, I will not say more:
Package data_structure;
Import java.util.ArrayList;
Import java.util.Collection;
Import java.util.Collections;
Import java.util.LinkedList;
Import java.util.List;
public class Huffmantree {public static class node
In fact, this is Huffman tree, a start with priority queue write time-out, and later found that no priority queue, because each time the added value is always greater than before, then only need to use the normal queue can be, and this queue is monotonically increment, and then take the original array of the head or the head of the monotonous queue can be.
But without taking into account (n-1)% (k-1) ==0, t
Program | Connection Database ' ******* connection Database tree Graph generator ********
'*****************************
' Suppose you have established the SQL Server database Unittree and created tables in the library:
' Units (ID Unit ordinal integer unique, name unit name string, upid parent unit ordinal number integer)
' Note: Upid=0 indicates that the unit is a root node unit;
' Enter some data such as
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