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In computer science, the shunting-yard algorithm is a method for parsing mathematical expressions specified in infix notation. It can produce either a postfix notation string, also known as Reverse Polish notation (RPN), or an abstract syntax tree (AST). The algorithm was invented by Edsger Dijkstra and named the "shunting yard" algorithm because its operation resembles that of a railroad shunting yard. Dijkstra first described the Shunting Yard Algorithm in the Mathematisch Centrum report MR 34/61.
Like the evaluation of RPN, the shunting yard algorithm is stack-based. Infix expressions are the form of mathematical notation most people are used to, for instance "3 + 4" or "3 + 4 × (2 − 1)". For the conversion there are two text variables (strings), the input and the output. There is also a stack that holds operators not yet added to the output queue. To convert, the program reads each symbol in order and does something based on that symbol. The result for the above examples would be "3 4 +" or "3 4 2 1 − × +".
The shunting-yard algorithm was later generalized into operator-precedence parsing.
A simple conversion
- Input: 3 + 4
- Push 3 to the output queue (whenever a number is read it is pushed to the output)
- Push + (or its ID) onto the operator stack
- Push 4 to the output queue
- After reading the expression, pop the operators off the stack and add them to the output.
- In this case there is only one, "+".
- Output: 3 4 +
This already shows a couple of rules:
- All numbers are pushed to the output when they are read.
- At the end of reading the expression, pop all operators off the stack and onto the output.
Graphical illustration of algorithm, using a three-way railroad junction. The input is processed one symbol at a time: if a variable or number is found, it is copied directly to the output a), c), e), h). If the symbol is an operator, it is pushed onto the operator stack b), d), f). If the operator's precedence is less than that of the operators at the top of the stack or the precedences are equal and the operator is left associative, then that operator is popped off the stack and added to the output g). Finally, any remaining operators are popped off the stack and added to the output i).
The algorithm in detail
/* This implementation does not implement composite functions,functions with variable number of arguments, and unary operators. */ while there are tokens to be read: read a token. if the token is a number, then: push it to the output queue. if the token is a function then: push it onto the operator stack if the token is an operator, then: while ((there is a function at the top of the operator stack) or (there is an operator at the top of the operator stack with greater precedence) or (the operator at the top of the operator stack has equal precedence and is left associative)) and (the operator at the top of the operator stack is not a left bracket): pop operators from the operator stack onto the output queue. push it onto the operator stack. if the token is a left bracket (i.e. "("), then: push it onto the operator stack. if the token is a right bracket (i.e. ")"), then: while the operator at the top of the operator stack is not a left bracket: pop the operator from the operator stack onto the output queue. pop the left bracket from the stack. /* if the stack runs out without finding a left bracket, then there are mismatched parentheses. */ if there are no more tokens to read: while there are still operator tokens on the stack: /* if the operator token on the top of the stack is a bracket, then there are mismatched parentheses. */ pop the operator from the operator stack onto the output queue. exit.
To analyze the running time complexity of this algorithm, one has only to note that each token will be read once, each number, function, or operator will be printed once, and each function, operator, or parenthesis will be pushed onto the stack and popped off the stack once—therefore, there are at most a constant number of operations executed per token, and the running time is thus O(n)—linear in the size of the input.
The shunting yard algorithm can also be applied to produce prefix notation (also known as Polish notation). To do this one would simply start from the end of a string of tokens to be parsed and work backwards, reverse the output queue (therefore making the output queue an output stack), and flip the left and right parenthesis behavior (remembering that the now-left parenthesis behavior should pop until it finds a now-right parenthesis).
Input: 3 + 4 × 2 ÷ ( 1 − 5 ) ^ 2 ^ 3
operator precedence associativity ^ 4 Right × 3 Left ÷ 3 Left + 2 Left − 2 Left
The symbol ^ represents the power operator.
Token Action Output
Notes 3 Add token to output 3 + Push token to stack 3 + 4 Add token to output 3 4 + × Push token to stack 3 4 × + × has higher precedence than + 2 Add token to output 3 4 2 × + ÷ Pop stack to output 3 4 2 × + ÷ and × have same precedence Push token to stack 3 4 2 × ÷ + ÷ has higher precedence than + ( Push token to stack 3 4 2 × ( ÷ + 1 Add token to output 3 4 2 × 1 ( ÷ + − Push token to stack 3 4 2 × 1 − ( ÷ + 5 Add token to output 3 4 2 × 1 5 − ( ÷ + ) Pop stack to output 3 4 2 × 1 5 − ( ÷ + Repeated until "(" found Pop stack 3 4 2 × 1 5 − ÷ + Discard matching parenthesis ^ Push token to stack 3 4 2 × 1 5 − ^ ÷ + ^ has higher precedence than ÷ 2 Add token to output 3 4 2 × 1 5 − 2 ^ ÷ + ^ Push token to stack 3 4 2 × 1 5 − 2 ^ ^ ÷ + ^ is evaluated right-to-left 3 Add token to output 3 4 2 × 1 5 − 2 3 ^ ^ ÷ + end Pop entire stack to output 3 4 2 × 1 5 − 2 3 ^ ^ ÷ +
Input: sin ( max ( 2, 3 ) ÷ 3 × 3.1415 )
Token Action Output =
Notes sin Push token to stack sin max Push token to stack max sin 2 Add token to output 2 max sin 3 Add token to output 2 3 max sin ÷ Pop stack to output 2 3 max sin Push token to stack 2 3 max ÷ sin 3 Add token to output 2 3 max 3 ÷ sin × Pop stack to output 2 3 max 3 ÷ sin Push token to stack 2 3 max 3 ÷ × sin 3.1415 Add token to output 2 3 max 3 ÷ 3.1415 × sin end Pop entire stack to output 2 3 max 3 ÷ 3.1415 × sin
- Dijkstra's original description of the Shunting yard algorithm
- Literate Programs implementation in C
- Implementation in various languages, including C and Python
- Java Applet demonstrating the Shunting yard algorithm
- Silverlight widget demonstrating the Shunting yard algorithm and evaluation of arithmetic expressions
- Parsing Expressions by Recursive Descent Theodore Norvell © 1999–2001. Access date September 14, 2006.
- Matlab code, evaluation of arithmetic expressions using the shunting yard algorithm