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Algoritmos, Parte I

Universidade de Princeton

4.9 (5,354 classificações) | 410K alunos inscritos

This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. Part I covers elementary data structures, sorting, and searching algorithms. Part II focuses on graph- and string-processing algorithms. All the features of this course are available for free. It does not offer a certificate upon completion.

Visualizar o programa do curso

Habilidades que você aprenderá

Data Structure, Algorithms, Java Programming

Avaliações

4.9 (5,354 classificações)

5 stars
5,018 ratings
4 stars
288 ratings
3 stars
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2 stars
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1 star
13 ratings

BJ

Jun 03, 2018

Good contents and the logic of the whole course structure is very clear for a novice like me. The weekly homework is also awesome. Would recommend to anyone who wants to learn about computer science.

KR

Dec 02, 2016

An amazing course which enables one to appreciate and analyze various algorithms used in various applications. Must take for anyone who wants to build a career in computer science or related fields.

Na lição

Stacks and Queues

We consider two fundamental data types for storing collections of objects: the stack and the queue. We implement each using either a singly-linked list or a resizing array. We introduce two advanced Java features—generics and iterators—that simplify client code. Finally, we consider various applications of stacks and queues ranging from parsing arithmetic expressions to simulating queueing systems.

Resizing Arrays9:56

Stack and Queue Applications (optional)13:24

Ministrado por

Kevin Wayne
Phillip Y. Goldman '86 Senior Lecturer
Robert Sedgewick
William O. Baker *39 Professor of Computer Science

Transcrição

Okay, next we'll briefly consider queue implementations using

the same basic underlying data structures.

So here's the corresponding API for QueueOfStrings.

Actually it's the same API as for stacks, just the names are different.

Instead of push we have enqueue instead of pop we have dequeue.

And the semantics is different, for enqueue we add an item say at the end

of the queue, and for dequeue we remove an item from the beginning.

It's as if you're waiting in line to buy a ticket.

When you're enqueue you go at the end, and

when the one that's been in there the longest is the one that comes off.

So lets look at how we implement those, first using linked list and then arrays.

So now our representation of a queue with a length list,

we need to maintain two pointers, references.

One, to the first item in the list and the other to the last item in the list.

When we insert,

we're going to add the item at the end of the list instead of at the beginning.

And when we remove, we'll do the same, we'll take it off at the front.

So here's the implementation of dequeue.

It's identical to the code for pop for a stack.

We save away the item, we delete the first node by advancing the reference and

then we return the item, so identical.

To add a note, or enqueue, add a new note to a linked-list.

We want to put it at the end, so that will be the last one returned.

So we, to add it at the end, so

first thing we need to do is save a link, the last node.

We're going to need that because we need to change it's reference

from null to point to the new node.

Then we'll create a new node for the end of the list.

We'll populate its fields and then that old link

will change that from null to a pointer to the new node.

So again, just a few lines of code,

[COUGH] that's basic linked-list processing.

Actually years ago when we taught courses in algorithms and data structures,

much of the course would be about this kind of pointer manipulation.

But nowadays that's restricted to just a few implementations like stack and

queue and a few other fundamental data structures.

So we don't need so much any more general programs for manipulating linked-lists.

We encapsulate them in basic data types like these.

All right, so let's go back to our full implementation and

this is just taking care of collecting the code from the previous slides.

But also taking care of special cases when the queue is empty.

To make sure that if the queue is empty after we move an item

we gotta set last to null.

Make sure that both first and last are always what we want them to be.

So those are details that are easy to check.

Okay, what about arrays?

Well, we won't do the details, but

it's not difficult to implement queues with resizing arrays as well.

Not difficult, but

a definitely tricky programming exercise that people are welcome to try.

So we'll maintain two pointers, the first item in the queue and

the tail, which is the position for the next item to appear.

So for enqueue, you add a new item a tail.

And for dequeue you remove an item for a head.

And the trick is that once you get past the capacity,

you have to reset back to zero.

And so that's a little extra code, and

then you have to add the resizing capability as well to

implement the data structure the same as for stack.

And we'll leave that as an exercise.

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