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CS 171: Introduction to Computer Science II Stacks and Queues Li Xiong Roadmap Java basics OO and inheritance Arrays and ArrayList Abstract data types Abstract data types Stacks Queues Algorithm analysis Abstract


  1. CS 171: Introduction to Computer Science II Stacks and Queues Li Xiong

  2. Roadmap � Java basics � OO and inheritance � Arrays and ArrayList � Abstract data types Abstract data types � Stacks � Queues � Algorithm analysis

  3. Abstract Data Types � Data type � A data type is a set of values and a set of operations on those values � Abstract data type (ADT) � Abstract data type (ADT) � An abstract data type is a data type whose internal representation is hidden from the client

  4. Implementing and using ADTs � ADTs are implemented in Java as classes � Instance variables are private (hidden from the client) � Instance methods may be public (specified in the API) or private (organize the computation and hidden from the client) � Application programming interface (API) � specifies the behavior of an ADT including constructors and instance methods � Using ADTs � Create objects of implemented ADTs � Invoke instance methods to operate on data-type values

  5. Examples of Java ADTs � Standard system ADTs � Integer, Double, String, StringBuilder … � Data oriented ADTs – facilitate organizing and processing data processing data � Point2D, Interval1D, Date, … � Collection ADTs – facilitate organizing and manipulating collections of data � Stack, Queue, Priority Queue, …

  6. Collection Abstract Data Types � Stacks and queues � API - intended behavior � Implementation – how to implement Implementation – how to implement � Applications - how to use

  7. Stacks � A stack stores an array of elements but with only two main operations: Push : add an element to the top of the stack Pop : remove the top element of the stack. Pop : remove the top element of the stack. � Pop always removes the last element that’s added to the stack. This is called LIFO (Last- In-First-Out).

  8. Stacks – A Familiar Example � A can of tennis balls � Imagine the entire can represents an array, and each ball is an element. � It only allows access to one element at a time: the last element. the last element. � If you remove the last element, you can then access the next-to-last element. � There is no way to directly access the element at the bottom.

  9. Stacks – Another Example � A dynamic list of tasks you perform everyday: � Imagine you start your day by working on task A. � At any time you may be interrupted by a co- worker asking you for temporary help on task B. � While you work on B, someone may interrupt While you work on B, someone may interrupt you again for help on task C. � When you are done with C, you will resume working on B. � Then you go back to work on A. � Think about the sequence of tasks you perform.

  10. Stacks – Any other examples?

  11. Stack Examples

  12. Stacks � An element cannot be inserted to or accessed from the middle of the array. � The only way you modify the elements is through the push and pop operations. � This capability turns out to be very useful in many programming situations. � In a computer, the stack is an essential data structure for handling program calls and returns.

  13. Stacks � Programmer’s tool � Arrays are typically used as data storage structures in apps such as a database (e.g. personal records, inventories …) � In contrast, stacks are often used as � In contrast, stacks are often used as programmer’s tool, and are not typically used for data storage.

  14. Stack: Array implementation � Underflow: what happens if pop from an empty stack? � Throw exception � Overflow: what happens if push to a full � Overflow: what happens if push to a full stack? � Use resizing array

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