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Expression Tree in Data Structures

Expression Tree in Data Structures:


In computer science, an Expression Tree is an important structure for storing and evaluating mathematical or logical expressions. It is a type of binary tree used to store mathematical operators and operands in a structured way. In such trees, the internal nodes are operators (like +, -, *, /), while the leaf nodes are numerical values or variables.

Construction of an Expression Tree:
An expression tree is created to transform a mathematical or logical expression into a hierarchy. Each node in the tree contains an operator or an operand. For example, the expression `(a + b) * (c + d)` would be represented with `*` at the root, two `+` nodes as its children, and `a, b, c, d` as the leaves.

Types of Expression Trees:
  • Infix Expression Tree: Where the operator is placed between two operands (e.g., `a + b`).
  • Prefix Expression Tree: Where the operator comes first, followed by the operands (e.g., `+ a b`).
  • Postfix Expression Tree: Where the operator comes after the operands (e.g., `a b +`).

Advantages of Expression Trees:
They provide a consistent structure, make evaluation simple and effective, and are widely used in compilers for evaluating and optimizing expressions.

Disadvantages of Expression Trees:
They consume more memory because each operator and operand is stored as a node, and their creation and evaluation can be complex for large expressions.