我设计了一个RPN算法来计算提供给计算器的总和结果。我的RPN代码如下:
import java.util.ArrayList;
public class RPNCalculator {
String operator;
double number_1;
double number_2;
double result;
public int length_change;
public void calculateResult(ArrayList<Object> outputQueueArray)
{
int length = outputQueueArray.size();
length_change = length;
int i;
int b;
int a;
for(b = 0; b < length; b++){
for(i = 0; i < length_change; i++){
if(outputQueueArray.get(i).equals("+") || outputQueueArray.get(i).equals("-") || outputQueueArray.get(i).equals("/") || outputQueueArray.get(i).equals("*")){
a = i - 2;
operator = (String) outputQueueArray.remove(i) ;
number_1 = (double) outputQueueArray.remove(i - 1);
number_2 = (double) outputQueueArray.remove(i - 2);
outputQueueArray.add(a,useOperator(number_1, number_2, operator));
length_change = outputQueueArray.size();
System.out.println(outputQueueArray);
}
}
}
}
public double useOperator(double number_1, double number_2, String operator)
{
if(operator.equals("+")){
return number_2 + number_1;
}
else if(operator.equals("-")){
return number_2 - number_1;
}
else if(operator.equals("/")){
return number_2 / number_1;
}
else if(operator.equals("*")){
return number_2 * number_1;
}
else{
return 0;
}
}
}
如果我给代码做以下计算:
[3.0, 2.0, /, 8.0, 3.0, +, -, 2.0, /]
它给出以下输出:
[1.5, 8.0, 3.0, +, -, 2.0, /]
[1.5, 11.0, -, 2.0, /] java.lang.ClassCastException: java.lang.String cannot be cast to java.lang.Double
因此,在处理[1.5、11.0,-,2.0,/]时会发生错误
但是,如果我最初给它做以下计算:
[1.5, 11.0, -, 2.0, /]
它给出了正确的答案:
[1.5, 11.0, -, 2.0, /]
[-9.5, 2.0, /]
[-4.75]
任何人都可以帮忙:)
ps。对不起,这个长期的问题
最佳答案
您最好使用堆栈。
// returns result instead of modifying the input list
// input is still a list of Double s (literals) and String s (operators)
public double calculateResult(ArrayList<Object> input)
{
// create new java.util.Stack
// the new stack is empty
Stack<Double> operands = new Stack<>();
for (Object o : input) {
if (o instanceof String) {
// remove operands of the operation from the stack and "replace"
// with the result of the operation
double operand2 = operands.pop();
double operand1 = operands.pop();
operands.push(useOperator(operand2, operand1, o));
} else {
// push a "literal" (i.e. a Double from input) to operands
operands.push((Double)o);
}
}
if (operands.size() != 1)
throw new IllegalArgumentException("Input not valid. Missing operator or empty input.");
return operands.pop();
}
通过这种方法,算法应该明显更快,因为从ArrayList L的位置i中删除元素需要O(L.size()-i)时间。执行示例
input = new ArrayList<Object>(Arrays.asList(new Object[] {
new Double(3.0),
new Double(2.0),
"/",
new Double(8.0),
new Double(3.0),
"+",
"-",
new Double(2.0),
"/"}))
:循环前的
operands = []
o = 3.0
迭代后的operands = [3.0]
o = 2.0
迭代后的operands = [3.0, 2.0]
o = "/"
的operands
中删除操作数:operands = []; operand1 = 3.0; operand2 = 2.0
(operand1 / operand2)
的结果压入堆栈:operands = [1.5]
用
o = 8.0
迭代后的operands = [1.5, 8.0]
o = 3.0
迭代后的operands = [1.5, 8.0, 3.0]
o = "+"
的operands
中删除操作数:operands = [1.5]; operand1 = 8.0; operand2 = 3.0
(operand1 + operand2)
的结果压入堆栈:operands = [1.5, 11.0]
o = "-"
的operands
中删除操作数:operands = []; operand1 = 1.5; operand2 = 11.0
(operand1 - operand2)
的结果压入堆栈:operands = [-9.5]
用
o = 2.0
迭代后的operands = [-9.5, 2.0]
o = "+"
的operands
中删除操作数:operands = []; operand1 = -9.5; operand2 = 2.0
(operand1 + operand2)
的结果压入堆栈:operands = [-7.5]