Stacks

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The ADT Stack is a collection of homogeneous data that organizes its entries according to
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the order in which they were added. The organization is called LIFO or Last In, First Out
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(Sometimes called FILO). In the ADT Stack, there is one access point called the top of the
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stack, and only the item at the top, which is the most recently added item, is visible. The
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normal operations that can be performed on a stack are: push(), pop(), peek(), and
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isEmpty(). Sometimes there will be an operation called isFull().
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One of the many uses of a stack is to reverse data. Consider a singly linked list of numbers
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<br>[[CS2|Back to Data Structures (CS2)]]
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that is kept in order from smallest (at the head) to the largest (at the rear). What if I wanted
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to print out the numbers in order from largest to smallest?
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Implementation. A stack is usually implemented in one of two ways: either using an array or
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a linked list.
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With an array, we need an isFull() operation. There is normally an index called top,
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which is initialized to -1. Then, the push() operation is
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if( not isFull() )
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stack[ ++top ] = data
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The pop() operations can then be implemented with
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if( not isEmpty() )
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return( stack[ top-- ] )
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The isFull() operation is
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return( top == N – 1 )
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And the isEmpty() operation is
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return( top == -1 )
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When a stack is implemented as a linked list, we do not usually need the isFull()
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operations, but the isEmpty() operation is the same as that of the list. The normal way to
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implement the stack is to add and remove nodes from the head of the list. Note that if we do
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this, we do not need to use a rear pointer for the list.
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Note also that a stack is an efficient data structure as all operations are constant. The array
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based stack wastes space that the linked list does not.

Revision as of 20:01, 26 March 2009

The ADT Stack is a collection of homogeneous data that organizes its entries according to the order in which they were added. The organization is called LIFO or Last In, First Out (Sometimes called FILO). In the ADT Stack, there is one access point called the top of the stack, and only the item at the top, which is the most recently added item, is visible. The normal operations that can be performed on a stack are: push(), pop(), peek(), and isEmpty(). Sometimes there will be an operation called isFull().

One of the many uses of a stack is to reverse data. Consider a singly linked list of numbers that is kept in order from smallest (at the head) to the largest (at the rear). What if I wanted to print out the numbers in order from largest to smallest? Implementation. A stack is usually implemented in one of two ways: either using an array or a linked list. With an array, we need an isFull() operation. There is normally an index called top, which is initialized to -1. Then, the push() operation is if( not isFull() ) stack[ ++top ] = data The pop() operations can then be implemented with if( not isEmpty() ) return( stack[ top-- ] ) The isFull() operation is return( top == N – 1 ) And the isEmpty() operation is return( top == -1 ) When a stack is implemented as a linked list, we do not usually need the isFull() operations, but the isEmpty() operation is the same as that of the list. The normal way to implement the stack is to add and remove nodes from the head of the list. Note that if we do this, we do not need to use a rear pointer for the list. Note also that a stack is an efficient data structure as all operations are constant. The array based stack wastes space that the linked list does not.

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