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Objective-C

Objective-C

Object Oriented Programming. Objective-C. Presentation by Kevin Layer. CS 331 21 April 2008. Overview. Objective-C is an object oriented language. follows ANSI C style coding with methods from Smalltalk There is no formal written standard Relies mostly on libraries written by others

By avalon
(196 views)

Chapter 12 – Data Structures

Chapter 12 – Data Structures

Chapter 12 – Data Structures. Outline 12.1 Introduction 12.2 Self-Referential Structures 12.3 Dynamic Memory Allocation 12.4 Linked Lists 12.5 Stacks 12.6 Queues 12.7 Trees. 12.1 Introduction. Dynamic data structures Data structures that grow and shrink during execution Linked lists

By ermin
(214 views)

CSCE 3110 Data Structures & Algorithm Analysis

CSCE 3110 Data Structures & Algorithm Analysis

CSCE 3110 Data Structures & Algorithm Analysis. Rada Mihalcea http://www.cs.unt.edu/~rada/CSCE3110 Binary Search Trees Reading: Chap. 4 (4.3) Weiss. A Taxonomy of Trees. General Trees – any number of children / node Binary Trees – max 2 children / node Heaps – parent < (>) children

By moeshe
(160 views)

Queues

Queues

Queues. EENG212 Algorithm And Data Structures. DEFINITION OF QUEUE. A Queue is an ordered collection of items from which items may be deleted at one end (called the front of the queue) and into which items may be inserted at the other end (the rear of the queue).

By dena
(229 views)

Software as Math

Software as Math

Software as Math. (or why you should be paying attention in this class). Ryan Luna Javier Garcia. Overview. What the heck is discrete math? Algebraic Specifications Theories and Models Specification Morphisms Homomorphisms and Isomorphisms Useful applications!! . Discrete Mathematics.

By chas
(275 views)

Data Abstraction and Object-Oriented Programming

Data Abstraction and Object-Oriented Programming

Data Abstraction and Object-Oriented Programming. CS351 – Programming Paradigms. Object Oriented Programming. The development of complicated computer applications has seen the need for data abstraction with the software engineering field. The main advantages of data abstraction are:

By melaney
(318 views)

Linked Lists

Linked Lists

Linked Lists. Linked List Basics. Linked lists and arrays are similar since they both store collections of data. The array's features all follow from its strategy of allocating the memory for all its elements in one block of memory.

By marcello
(103 views)

Software Engineering

Software Engineering

Software Engineering. CPSC 439/539 Spring 2014. Acknowledgements. Many slides courtesy of Rupak Majumdar Additinally , Rupak thanked Alex Aiken, Ras Bodik , Ralph Johnson, George Necula , Koushik Sen, A J Shankar

By sutton
(76 views)

Chapter 8

Chapter 8

Chapter 8. Topics. Priority Queue ADT Implementing a Priority Queue with a List Insert-sort Heaps Heap-sort Adaptable Priority Queues. Priority Queues. Priority Queues . Stores a collection of prioritized entries Supports arbitrary element insertion

By lorene
(213 views)

Containers

Containers

Containers. CMPS 2143. Reusable containers. Simple data structures in almost all nontrivial programs Examples: vectors, linked lists, stacks, queues, binary trees, sets, dictionaries, etc. So common  expect ideal for development as reusable components.

By glenda
(182 views)

Singly Linked List

Singly Linked List

Singly Linked List. BTECH , EE KAZIRANGA UNIVERSITY. Singly Linked List. A Singly Linked List is one in which all nodes are linked together in some sequential manner. A Singly Linked List is a Dynamic data structure. It can grow and shrink depending on the operations performed on it. START.

By aleron
(825 views)

CSE332: Data Abstractions Lecture 19: Introduction to Multithreading and Fork-Join Parallelism

CSE332: Data Abstractions Lecture 19: Introduction to Multithreading and Fork-Join Parallelism

CSE332: Data Abstractions Lecture 19: Introduction to Multithreading and Fork-Join Parallelism. Tyler Robison Summer 2010. Changing a major assumption. So far in 142, 143, 311, and 332, we have assumed One thing happened at a time

By esme
(111 views)

David Evans cs.virginia/evans

David Evans cs.virginia/evans

Lecture 6: Reasoning about Data Abstractions. David Evans http://www.cs.virginia.edu/evans. CS201J: Engineering Software University of Virginia Computer Science. Requests. By 5pm tomorrow send any questions you have about Java programming to cs201j-staff@cs.virginia.edu

By venus
(182 views)

CSE332: Data Abstractions Lecture 24: Remaining Topics in Shared-Memory Concurrency

CSE332: Data Abstractions Lecture 24: Remaining Topics in Shared-Memory Concurrency

CSE332: Data Abstractions Lecture 24: Remaining Topics in Shared-Memory Concurrency. Dan Grossman Spring 2010. Concurrency: where are we. Done: Programming with locks and critical sections Key guidelines and trade-offs Now: The other basics an informed programmer needs to know

By yon
(114 views)

Theory I Algorithm Design and Analysis (5 Hashing)

Theory I Algorithm Design and Analysis (5 Hashing)

Theory I Algorithm Design and Analysis (5 Hashing). Prof. Th. Ottmann. The dictionary problem. Different approaches to the dictionary problem: Previously: Structuring the set of actually occurring keys: lists, trees, graphs, ...

By osgood
(202 views)

Prelim 2 Review

Prelim 2 Review

Prelim 2 Review. CS 2110 Fall 2009. Overview. Complexity and Big-O notation ADTs and data structures Linked lists, arrays, queues, stacks, priority queues, hash maps Searching and sorting Graphs and algorithms Searching Topological sort Minimum spanning trees Shortest paths

By annice
(123 views)

Set, Map & Bit-Vector

Set, Map & Bit-Vector

Set, Map & Bit-Vector. Discrete Mathematics and Its Applications Baojian Hua bjhua@ustc.edu.cn. Set. Set Interface. signature type set // set type type t // element type set newSet (); int setSize (set s); void setInsert (set s, t x);

By noleta
(141 views)


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