hdu 1082 Matrix Chain Multiplication
2014-01-27 17:11
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题目地址:
http://acm.hdu.edu.cn/showproblem.php?pid=1082
题目描述:
Time Limit: 2000/1000 MS (Java/Others) Memory Limit: 65536/32768 K (Java/Others)
Total Submission(s): 963 Accepted Submission(s): 659
Problem Description
Matrix multiplication problem is a typical example of dynamical programming.
Suppose you have to evaluate an expression like A*B*C*D*E where A,B,C,D and E are matrices. Since matrix multiplication is associative, the order in which multiplications are performed is arbitrary. However, the number of elementary multiplications needed strongly
depends on the evaluation order you choose.
For example, let A be a 50*10 matrix, B a 10*20 matrix and C a 20*5 matrix.
There are two different strategies to compute A*B*C, namely (A*B)*C and A*(B*C).
The first one takes 15000 elementary multiplications, but the second one only 3500.
Your job is to write a program that determines the number of elementary multiplications needed for a given evaluation strategy.
Input
Input consists of two parts: a list of matrices and a list of expressions.
The first line of the input file contains one integer n (1 <= n <= 26), representing the number of matrices in the first part. The next n lines each contain one capital letter, specifying the name of the matrix, and two integers, specifying the number of rows
and columns of the matrix.
The second part of the input file strictly adheres to the following syntax (given in EBNF):
SecondPart = Line { Line } <EOF>
Line = Expression <CR>
Expression = Matrix | "(" Expression Expression ")"
Matrix = "A" | "B" | "C" | ... | "X" | "Y" | "Z"
Output
For each expression found in the second part of the input file, print one line containing the word "error" if evaluation of the expression leads to an error due to non-matching matrices. Otherwise print one line containing the number of elementary multiplications
needed to evaluate the expression in the way specified by the parentheses.
Sample Input
Sample Output
题意:
计算矩阵相乘运算中一共有多少次乘法。
题解:
栈计算表达式。
代码:
http://acm.hdu.edu.cn/showproblem.php?pid=1082
题目描述:
Matrix Chain Multiplication
Time Limit: 2000/1000 MS (Java/Others) Memory Limit: 65536/32768 K (Java/Others)Total Submission(s): 963 Accepted Submission(s): 659
Problem Description
Matrix multiplication problem is a typical example of dynamical programming.
Suppose you have to evaluate an expression like A*B*C*D*E where A,B,C,D and E are matrices. Since matrix multiplication is associative, the order in which multiplications are performed is arbitrary. However, the number of elementary multiplications needed strongly
depends on the evaluation order you choose.
For example, let A be a 50*10 matrix, B a 10*20 matrix and C a 20*5 matrix.
There are two different strategies to compute A*B*C, namely (A*B)*C and A*(B*C).
The first one takes 15000 elementary multiplications, but the second one only 3500.
Your job is to write a program that determines the number of elementary multiplications needed for a given evaluation strategy.
Input
Input consists of two parts: a list of matrices and a list of expressions.
The first line of the input file contains one integer n (1 <= n <= 26), representing the number of matrices in the first part. The next n lines each contain one capital letter, specifying the name of the matrix, and two integers, specifying the number of rows
and columns of the matrix.
The second part of the input file strictly adheres to the following syntax (given in EBNF):
SecondPart = Line { Line } <EOF>
Line = Expression <CR>
Expression = Matrix | "(" Expression Expression ")"
Matrix = "A" | "B" | "C" | ... | "X" | "Y" | "Z"
Output
For each expression found in the second part of the input file, print one line containing the word "error" if evaluation of the expression leads to an error due to non-matching matrices. Otherwise print one line containing the number of elementary multiplications
needed to evaluate the expression in the way specified by the parentheses.
Sample Input
9 A 50 10 B 10 20 C 20 5 D 30 35 E 35 15 F 15 5 G 5 10 H 10 20 I 20 25 A B C (AA) (AB) (AC) (A(BC)) ((AB)C) (((((DE)F)G)H)I) (D(E(F(G(HI))))) ((D(EF))((GH)I))
Sample Output
0 0 0 error 10000 error 3500 15000 40500 47500 15125
题意:
计算矩阵相乘运算中一共有多少次乘法。
题解:
栈计算表达式。
代码:
#include<stdio.h> #include<stdlib.h> #include<string.h> #include<math.h> #include<algorithm> #include<iostream> using namespace std; typedef struct Matrix { int row; int col; char c; Matrix() { row=0; col=0; c='\0'; } }Matrix,*MatrixLink; Matrix Mats[26];//the matrix lib Matrix stack_ex[1000];//the expression stack int top=-1; int n=0;//the number of the matrix char query_str[1000]={'\0'}; /*for test*/ int test() { return(0); } /*calculate the matrix*/ bool CalcMa(Matrix &m1,Matrix &m2,Matrix &m3) { if(m1.col!=m2.row) { return(false); } else { m3.row=m1.row; m3.col=m2.col; return(true); } } /*calculate the matrix multiplications */ int CalcQue(char que[]) { int num=0; top=-1; int i=0; while(que[i]!='\0') { Matrix NewMa; switch(que[i]) { case '('://push the stack top++; stack_ex[top].c='('; break; case ')'://pop the stack until the first '('(include it),and calculate the AB matrix multiplication,and tne new matrix updated. if(CalcMa(stack_ex[top-1],stack_ex[top],NewMa)) { num+=stack_ex[top-1].row*stack_ex[top-1].col*stack_ex[top].col; top-=2; stack_ex[top].row=NewMa.row; stack_ex[top].col=NewMa.col; //printf("%s %d\n",que,num); } else { num=-1; return(num); } break; default://push the stack top++; stack_ex[top].c=que[i]; stack_ex[top].row=Mats[que[i]-65].row; stack_ex[top].col=Mats[que[i]-65].col; break; } i++; } return(num); } /*main process*/ int MainProc() { //initialize scanf("%d",&n); int i=0,row=0,col=0; char c='\0';//the name of the matrix for(i=0;i<=n-1;i++) { scanf("%s%d%d",query_str,&row,&col); c=query_str[0]; //save to the matrix lib Mats[c-65].row=row; Mats[c-65].col=col; Mats[c-65].c=c; } //deal with the query while(scanf("%s",query_str)!=EOF) { if(query_str[0]=='\0') { continue; } int ele_num=CalcQue(query_str); if(ele_num>=0) { printf("%d\n",ele_num); } else { printf("error\n"); } } return(0); } int main() { MainProc(); return(0); }
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