CSC 161 Schedule Readings Labs & Projects Homework Deadlines Resources

Stacks

Summary: This reading introduces the concept of an Abstract Data Type (ADT) and describes a stack as a specific example.

Contents

Abstract Data Types

When we want to work with data on a general level, we often need to describe two basic characteristics: the data we will be storing, and the operations we will want to perform on these data. In computer science, these two characteristics combine to give the concept of an abstract data type or ADT, which allows us to work with data on a conceptual level without worrying about various programming details.

The stack discussed in this reading provides one example of an abstract data type. The queue, discussed in a forthcoming reading, provides a second example.

Stacks

A stack mimics the information that we might keep in a pile on our desk. For example, on our desk, we may keep separate piles for

(Some of us have more and taller stacks than others.)

These piles have several properties. First, each pile contains the same type of information (e.g., bills, magazines, or notes). In addition, for each pile, we can do several tasks.

  1. We can add to the pile by putting information on the top.
  2. We can take the top item off of our pile.
  3. We can read the item on the top.
  4. We can tell whether a pile is empty. (There may be nothing at the spot where the pile should be.)

These operations allow us to do all of our normal processing of data at our desk. For example, when we receive bills in the mail, we add them to our pile of bills until payday comes. Then, we take our bills, one at a time, off the top of our pile and pay them until our money runs out.

When discussing these operations, it is customary to call the addition of an item to the top of the pile a Push operation and the deletion of an item from the top a Pop operation. These semantics correspond to the feel (and perhaps sound) of operations on another familiar stack: the Pez candy dispenser.

More formally, a stack is defined as an abstract data type that can store data and that has the following operations:

Empty
Empty returns true or false, depending upon whether the stack contains any items or not.
Full (optional)
Full returns true or false, depending upon whether the stack contains as much data as it can hold.
Push
If the stack is not full, Push adds the specified item to the top of the stack.
If the stack is full, nothing is added, and an error is reported.
Pop
If the stack is not empty, Pop removes the top item from the stack, and this item is returned.
If the stack is empty, nothing is returned, and an error is reported.
Top
If the stack is not empty, the top item is returned, but the contents of the stack are not changed.
If the stack is empty, nothing is returned, and an error is reported.

This specification says nothing about how we will program the various stack operations; rather, it tells us how stacks can be used. We can also infer some limitations on how we can use the data. For example, stack operations allow us to work with only the top item on the stack. We cannot look at other pieces of data lower down in the stack without first using Pop operations to clear away items above the desired one.

A Push operation always puts the new item on top of the stack, and this is the first item returned by a Pop operation. Thus, the last piece of data added to the stack will be the first item removed. For these functions (along with initialize), you have to pass a pointer to the top of the stack and cannot pass in the actual element, because you need the ability to modify the stack itself, not just a copy of the element on top. For other functions which deal with the stack, you can generally pass in either a pointer to the top of the stack, or the actual element itself.

Array-based Stack Implementation


An Array Implementation of a
Stack

Stacks in C

One common implementation of a stack involves the use of an array.

More precisely, we store each piece of data as an element of an array. We place the first data item at one end of the array. Then, for a push operation, we add a data item to the next array element. For a pop operation, we return the item at the top of our data, and we record that the top has moved down. This processing requires several parts, including an array (stackArray) of data to store our data items, a variable (topPosition) to keep track of our top element, and a constant (MaxStack) to keep track of the size of our array. Conceptually, this setup fits together as shown in the figure at right. Note that a stack implementation may have the topPosition as either the index of top element in the stack, or the index of the first empty element (where the next-pushed item would go). Both implementations of stacks are valid.

With this figure, we trace what happens in our stack operations. We start with topPosition equal to -1, because we have no data in the array. Then, we perform a push, we increment topPosition by one, and we store our new item in this new topPosition. Similarly, for a pop operation, we return the item at the topPosition, and we move the topPosition down by one. Finally, for isFull or isEmpty functions, we compare the topPosition with MaxStack-1 or -1, respectively.

Additional details arise because we must check whether the stack is full or empty before actually performing a push or pop operation, respectively.

Finally, we note that sometimes it is convenient to package the elements together in a struct, perhaps with a typedef. For example, the following declarations might be used when the stack is to store strings.

#define MaxStack 50
/* MaxStack stands for the size of all stack arrays */

typedef struct {
  int topPosition;
  char* stackArray[MaxStack];
} stringStack;      /* type for a stack of strings */

Complete Stack ADT

The previous section on stacks described the use of arrays to implement this abstract data type. That section utilized the following declarations and function prototypes:

#define MaxStack 50  /* MaxStack stands for the size of all stack arrays */

typedef struct {
  int topPosition;
  char* stackArray [MaxStack];
} stringStack;      

int
isEmpty (const stringStack* stack);

int
isFull (const stringStack* stack);

void
initialize (stringStack* stack);

char*
pop (stringStack*stack);

int
push (stringStack* stack, char* item);

char*
top (const stringStack* stack);

Two comments about this interface are in order. First, several functions do not change the stack; instead, they return properties of the stack (e.g., the top element or whether it is empty). It is possible for these functions to behave correctly by having them take an actual stack as a parameter, rather than a pointer to a stack. For example, we could have used an interface like the following:

int
isEmpty(stringStack stack);

int
isFull(stringStack stack);

void
initialize(stringStack* stack);       /* unchanged */

char*
pop(stringStack*stack);               /* unchanged */

int
push(stringStack* stack, char* item); /* unchanged */

char*
top(stringStack stack);

Note that instead of taking (const) pointers to a stringStack, the functions isEmpty, isFull, and top take simply a stringStack as a parameter.

So why might we opt for the first interface, which solely uses pointers? There are two plausible reasons. First, having all functions take pointers leads to a memorable consistency in the interface; a client programmer does not need to remember, think about, or search the documentation for whether a particular function takes a stack or a pointer to a stack. Second, passing a pointer is more efficient than passing than actual stack, which must be copied in its entirety for each call to these methods. While the strings in the stack are not copied, all the pointers to them are, and this work can be quite excessive in a high-performance operation.

How do we ensure that such functions do not inadvertently change the stacks being given via pointer? The const modifier applied to the parameter signals to the compiler that the struct should not be involved in any assignment operations that change it. Doing so would generate a compiler warning (which of course should be heeded).

List-based Stack Implementation

In this section, we implement the same operations using lists and node pointers. Further, because applications should often consider only the conceptual operations of an abstract data type, not the implementation details, we will be careful that the new code we develop still uses exactly the same procedure and function headers as defined earlier for arrays.

When describing this new approach to a stack, we focus on the specification of the top of the stack, and we consider how to locate subsequent times in the stack after we perform a Pop operation. The following figure shows how such a structure could be organized.

A List/Pointer Implementation of a Stack

In this picture, we store a stack Item in a record with a pointer to the next lower Item on the stack. Also, we use a pointer variable, which specifies the top record.

Now suppose that we decide to store string data within a node. There are at least two choices to store the string data: