Analog and digital C - Expression tree, Study notes of Digital & Analog Electronics

Detail Summery about Expression Trees, What is an Expression tree? , Why expression trees?, Prefix, Infix, and Postfix forms, Infix to Postfix conversion, Expression Tree Examples.

Typology: Study notes

2010/2011

Uploaded on 09/02/2011

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Expression Trees
What is an Expression tree?
Expression tree implementation
Why expression trees?
Evaluating an expression tree (pseudo code)
Prefix, Infix, and Postfix forms
Infix to Postfix conversion
Constructing an expression tree from a postfix expression
Constructing an expression tree from a prefix expression
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Expression Trees

• What is an Expression tree?

• Expression tree implementation

• Why expression trees?

• Evaluating an expression tree (pseudo code)

• Prefix, Infix, and Postfix forms

• Infix to Postfix conversion

• Constructing an expression tree from a postfix expression

• Constructing an expression tree from a prefix expression

What is an Expression tree?

• An expression tree for an arithmetic, relational, or logical expression

is a binary tree in which:

• The parentheses in the expression do not appear.

• The leaves are the variables or constants in the expression.

• The non-leaf nodes are the operators in the expression:

• A node for a binary operator has two non-empty subtrees.

• A node for a unary operator has one non-empty subtree.

• The operators, constants, and variables are arranged in such a way

that an inorder traversal of the tree produces the original expression

without parentheses.

Why Expression trees?

• Expression trees are used to remove ambiguity in expressions.

• Consider the algebraic expression 2 - 3 * 4 + 5.

• Without the use of precedence rules or parentheses, different orders

of evaluation are possible:

• The expression is ambiguous because it uses infix notation: each

operator is placed between its operands.

Why Expression trees? (contd.)

• Storing a fully parenthesized expression, such as ((x+2)-(y*(4-z))), is

wasteful, since the parentheses in the expression need to be stored

to properly evaluate the expression.

• A compiler will read an expression in a language like Java, and

transform it into an expression tree.

• Expression trees impose a hierarchy on the operations in the

expression. Terms deeper in the tree get evaluated first. This allows

the establishment of the correct precedence of operations without

using parentheses.

• Expression trees can be very useful for:

• Evaluation of the expression.

• Generating correct compiler code to actually compute the

expression's value at execution time.

• Performing symbolic mathematical operations (such as

differentiation) on the expression.

Prefix, Infix, and Postfix Forms

• A preorder traversal of an expression tree yields the prefix (or

polish) form of the expression.

• In this form, every operator appears before its operand(s).

• An inorder traversal of an expression tree yields the infix form of the

expression.

• In this form, every operator appears between its operand(s).

• A postorder traversal of an expression tree yields the postfix (or

reverse polish) form of the expression.

• In this form, every operator appears after its operand(s).

Prefix form: + a * - b c d

Infix form: a + b - c * d

Postfix form: a b c - d * +

a *

- d

b c

Prefix, Infix, and Postfix Forms (contd.)

Expression Postfix forms Infix forms Postfix forms

(a + b) + a b a + b a b +

a - (b * c) - a * b c a - b * c a b c * -

log (x) log x log x x log

n!! n n! n!

Infix to Postfix conversion (manual)

• An Infix to Postfix manual conversion algorithm is:

1. Completely parenthesize the infix expression according to order of

priority you want.

2. Move each operator to its corresponding right parenthesis.

3. Remove all parentheses.

• Examples:

a / b ^ c – d * e – a * c ^ 3 ^ 4 a b c ^ / d e * a c 3 4 ^ ^ * - -

((a / (b ^ c)) – ((d * e) – (a * (c ^ (3 ^ 4) ) ) ) )

Using normal mathematical operator precedence

Not using normal mathematical operator precedence

Infix to Prefix conversion (manual)

• An Infix to Postfix manual conversion algorithm is:

1 Completely parenthesize the infix expression according to order of

priority you want.

2 Move each operator to its corresponding left parenthesis.

3 Remove all parentheses.

• Examples:

a / b ^ c – d * e – a * c ^ 3 ^ 4 a b c ^ / d e * a c 3 4 ^ ^ * - -

( (a / (b ^ c)) – ( (d * e) – (a * (c ^ (3 ^ 4) ) ) ) )

Using normal mathematical operator precedence

Not using normal mathematical operator precedence

Constructing an expression tree from a postfix expression

  • (^) The pseudo code algorithm to convert a valid postfix expression, containing binary operators, to an expression tree:

1 while(not the end of the expression) 2 { 3 if(the next symbol in the expression is an operand)

4 { 5 create a node for the operand ; 6 push the reference to the created node onto the stack ;

7 } 8 if(the next symbol in the expression is a binary operator) 9 {

10 create a node for the operator ; 11 pop from the stack a reference to an operand ;

12 make the operand the right subtree of the operator node ; 13 pop from the stack a reference to an operand ; 14 make the operand the left subtree of the operator node ;

15 push the reference to the operator node onto the stack ; 16 } 17 }

Constructing an expression tree from a prefix expression

  • (^) The pseudo code algorithm to convert a valid prefix expression, containing binary operators, to an expression tree:

INFIX EXPRESSION (1+3)*(6-4) PREFIX EXPRESSION

*+13-

Read the next arithmetic operator or numeric value.

Create a node containing the operator or numeric value. If the node contains an operator

Recursively build the sub trees corresponding to the operators operand Else

The node is a leaf node