Author: Roger Sessions
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 184
Book Description
Describes some techniques for organizing data manipulation code into one or more layers of code packages. Readers shold be familiar with C; background in data structures not required. Examples of problems included. Annotation copyrighted by Book News, Inc., Portland, OR
Reusable Data Structures for C
Author: Roger Sessions
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 184
Book Description
Describes some techniques for organizing data manipulation code into one or more layers of code packages. Readers shold be familiar with C; background in data structures not required. Examples of problems included. Annotation copyrighted by Book News, Inc., Portland, OR
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 184
Book Description
Describes some techniques for organizing data manipulation code into one or more layers of code packages. Readers shold be familiar with C; background in data structures not required. Examples of problems included. Annotation copyrighted by Book News, Inc., Portland, OR
C Interfaces and Implementations
Author: David R. Hanson
Publisher:
ISBN:
Category : C (Computer program language)
Languages : en
Pages : 0
Book Description
Publisher:
ISBN:
Category : C (Computer program language)
Languages : en
Pages : 0
Book Description
C# Data Structures and Algorithms
Author: Marcin Jamro
Publisher: Packt Publishing Ltd
ISBN: 1788834682
Category : Computers
Languages : en
Pages : 287
Book Description
A complete guide on using data structures and algorithms to write sophisticated C# code Key Features Master array, set and map with trees and graphs, among other fundamental data structures Delve into effective design and implementation techniques to meet your software requirements Explore illustrations to present data structures and algorithms, as well as their analysis in a clear, visual manner. Book Description Data structures allow organizing data efficiently. They are critical to various problems and their suitable implementation can provide a complete solution that acts like reusable code. In this book, you will learn how to use various data structures while developing in the C# language as well as how to implement some of the most common algorithms used with such data structures. At the beginning, you will get to know arrays, lists, dictionaries, and sets together with real-world examples of your application. Then, you will learn how to create and use stacks and queues. In the following part of the book, the more complex data structures will be introduced, namely trees and graphs, together with some algorithms for searching the shortest path in a graph. We will also discuss how to organize the code in a manageable, consistent, and extendable way. By the end of the book,you will learn how to build components that are easy to understand, debug, and use in different applications. What you will learn How to use arrays and lists to get better results in complex scenarios Implement algorithms like the Tower of Hanoi on stacks of C# objects Build enhanced applications by using hashtables, dictionaries and sets Make a positive impact on efficiency of applications with tree traversal Effectively find the shortest path in the graph Who this book is for This book is for developers who would like to learn the Data Structures and Algorithms in C#. Basic C# programming knowledge would be an added advantage.
Publisher: Packt Publishing Ltd
ISBN: 1788834682
Category : Computers
Languages : en
Pages : 287
Book Description
A complete guide on using data structures and algorithms to write sophisticated C# code Key Features Master array, set and map with trees and graphs, among other fundamental data structures Delve into effective design and implementation techniques to meet your software requirements Explore illustrations to present data structures and algorithms, as well as their analysis in a clear, visual manner. Book Description Data structures allow organizing data efficiently. They are critical to various problems and their suitable implementation can provide a complete solution that acts like reusable code. In this book, you will learn how to use various data structures while developing in the C# language as well as how to implement some of the most common algorithms used with such data structures. At the beginning, you will get to know arrays, lists, dictionaries, and sets together with real-world examples of your application. Then, you will learn how to create and use stacks and queues. In the following part of the book, the more complex data structures will be introduced, namely trees and graphs, together with some algorithms for searching the shortest path in a graph. We will also discuss how to organize the code in a manageable, consistent, and extendable way. By the end of the book,you will learn how to build components that are easy to understand, debug, and use in different applications. What you will learn How to use arrays and lists to get better results in complex scenarios Implement algorithms like the Tower of Hanoi on stacks of C# objects Build enhanced applications by using hashtables, dictionaries and sets Make a positive impact on efficiency of applications with tree traversal Effectively find the shortest path in the graph Who this book is for This book is for developers who would like to learn the Data Structures and Algorithms in C#. Basic C# programming knowledge would be an added advantage.
C]+ Plus Data Structures (Revised)
Author: Nell B. Dale
Publisher: Jones & Bartlett Learning
ISBN: 0763741582
Category : Computers
Languages : en
Pages : 799
Book Description
Data Structures & Theory of Computation
Publisher: Jones & Bartlett Learning
ISBN: 0763741582
Category : Computers
Languages : en
Pages : 799
Book Description
Data Structures & Theory of Computation
Secure Programming with Static Analysis
Author: Brian Chess
Publisher: Pearson Education
ISBN: 0132702029
Category : Computers
Languages : en
Pages : 1101
Book Description
The First Expert Guide to Static Analysis for Software Security! Creating secure code requires more than just good intentions. Programmers need to know that their code will be safe in an almost infinite number of scenarios and configurations. Static source code analysis gives users the ability to review their work with a fine-toothed comb and uncover the kinds of errors that lead directly to security vulnerabilities. Now, there’s a complete guide to static analysis: how it works, how to integrate it into the software development processes, and how to make the most of it during security code review. Static analysis experts Brian Chess and Jacob West look at the most common types of security defects that occur today. They illustrate main points using Java and C code examples taken from real-world security incidents, showing how coding errors are exploited, how they could have been prevented, and how static analysis can rapidly uncover similar mistakes. This book is for everyone concerned with building more secure software: developers, security engineers, analysts, and testers.
Publisher: Pearson Education
ISBN: 0132702029
Category : Computers
Languages : en
Pages : 1101
Book Description
The First Expert Guide to Static Analysis for Software Security! Creating secure code requires more than just good intentions. Programmers need to know that their code will be safe in an almost infinite number of scenarios and configurations. Static source code analysis gives users the ability to review their work with a fine-toothed comb and uncover the kinds of errors that lead directly to security vulnerabilities. Now, there’s a complete guide to static analysis: how it works, how to integrate it into the software development processes, and how to make the most of it during security code review. Static analysis experts Brian Chess and Jacob West look at the most common types of security defects that occur today. They illustrate main points using Java and C code examples taken from real-world security incidents, showing how coding errors are exploited, how they could have been prevented, and how static analysis can rapidly uncover similar mistakes. This book is for everyone concerned with building more secure software: developers, security engineers, analysts, and testers.
Principles of Data Structures Using C and C++
Author: Vinu V. Das
Publisher: New Age International
ISBN: 8122418589
Category : C (Computer program language)
Languages : en
Pages : 18
Book Description
About the Book: Principles of DATA STRUCTURES using C and C++ covers all the fundamental topics to give a better understanding about the subject. The study of data structures is essential to every one who comes across with computer science. This book is written in accordance with the revised syllabus for B. Tech./B.E. (both Computer Science and Electronics branches) and MCA. students of Kerala University, MG University, Calicut University, CUSAT Cochin (deemed) University. NIT Calicut (deemed) University, Anna University, UP Technical University, Amritha Viswa (deemed) Vidyapeeth, Karunya (dee.
Publisher: New Age International
ISBN: 8122418589
Category : C (Computer program language)
Languages : en
Pages : 18
Book Description
About the Book: Principles of DATA STRUCTURES using C and C++ covers all the fundamental topics to give a better understanding about the subject. The study of data structures is essential to every one who comes across with computer science. This book is written in accordance with the revised syllabus for B. Tech./B.E. (both Computer Science and Electronics branches) and MCA. students of Kerala University, MG University, Calicut University, CUSAT Cochin (deemed) University. NIT Calicut (deemed) University, Anna University, UP Technical University, Amritha Viswa (deemed) Vidyapeeth, Karunya (dee.
Data Structures, Algorithms, and Software Principles in C
Author: Thomas A. Standish
Publisher: Pearson
ISBN:
Category : Computers
Languages : en
Pages : 778
Book Description
Using C, this book develops the concepts and theory of data structures and algorithm analysis in a gradual, step-by-step manner, proceeding from concrete examples to abstract principles. Standish covers a wide range of both traditional and contemporary software engineering topics. The text also includes an introduction to object-oriented programming using C++. By introducing recurring themes such as levels of abstraction, recursion, efficiency, representation and trade-offs, the author unifies the material throughout. Mathematical foundations can be incorporated at a variety of depths, allowing the appropriate amount of math for each user.
Publisher: Pearson
ISBN:
Category : Computers
Languages : en
Pages : 778
Book Description
Using C, this book develops the concepts and theory of data structures and algorithm analysis in a gradual, step-by-step manner, proceeding from concrete examples to abstract principles. Standish covers a wide range of both traditional and contemporary software engineering topics. The text also includes an introduction to object-oriented programming using C++. By introducing recurring themes such as levels of abstraction, recursion, efficiency, representation and trade-offs, the author unifies the material throughout. Mathematical foundations can be incorporated at a variety of depths, allowing the appropriate amount of math for each user.
Data Structures and Algorithms in C++
Author: Michael T. Goodrich
Publisher: John Wiley & Sons
ISBN: 0470383275
Category : Computers
Languages : en
Pages : 739
Book Description
This second edition of Data Structures and Algorithms in C++ is designed to provide an introduction to data structures and algorithms, including their design, analysis, and implementation. The authors offer an introduction to object-oriented design with C++ and design patterns, including the use of class inheritance and generic programming through class and function templates, and retain a consistent object-oriented viewpoint throughout the book. This is a “sister” book to Goodrich & Tamassia’s Data Structures and Algorithms in Java, but uses C++ as the basis language instead of Java. This C++ version retains the same pedagogical approach and general structure as the Java version so schools that teach data structures in both C++ and Java can share the same core syllabus. In terms of curricula based on the IEEE/ACM 2001 Computing Curriculum, this book is appropriate for use in the courses CS102 (I/O/B versions), CS103 (I/O/B versions), CS111 (A version), and CS112 (A/I/O/F/H versions).
Publisher: John Wiley & Sons
ISBN: 0470383275
Category : Computers
Languages : en
Pages : 739
Book Description
This second edition of Data Structures and Algorithms in C++ is designed to provide an introduction to data structures and algorithms, including their design, analysis, and implementation. The authors offer an introduction to object-oriented design with C++ and design patterns, including the use of class inheritance and generic programming through class and function templates, and retain a consistent object-oriented viewpoint throughout the book. This is a “sister” book to Goodrich & Tamassia’s Data Structures and Algorithms in Java, but uses C++ as the basis language instead of Java. This C++ version retains the same pedagogical approach and general structure as the Java version so schools that teach data structures in both C++ and Java can share the same core syllabus. In terms of curricula based on the IEEE/ACM 2001 Computing Curriculum, this book is appropriate for use in the courses CS102 (I/O/B versions), CS103 (I/O/B versions), CS111 (A version), and CS112 (A/I/O/F/H versions).
Mastering Algorithms with C
Author: Kyle Loudon
Publisher: "O'Reilly Media, Inc."
ISBN: 1565924533
Category : Computers
Languages : en
Pages : 560
Book Description
Implementations, as well as interesting, real-world examples of each data structure and algorithm, are shown in the text. Full source code appears on the accompanying disk.
Publisher: "O'Reilly Media, Inc."
ISBN: 1565924533
Category : Computers
Languages : en
Pages : 560
Book Description
Implementations, as well as interesting, real-world examples of each data structure and algorithm, are shown in the text. Full source code appears on the accompanying disk.
Beginning Data Structures in C++
Author: Vic Broquard
Publisher:
ISBN: 9781941415542
Category :
Languages : en
Pages : 598
Book Description
Beginning Data Structures in C++ begins with a short analysis of functional abstraction which serves as a review of basic C++ programming operations especially array and structure processing actions. This includes Top-down design, stub testing and testing oracles. In fact, every example in Beginning Data Structures in C++ has an associated testing oracle to solidify how programs can be fully tested. User header files and multi-source files are used throughout the book. Next, Beginning Data Structures in C++ presents pointers and dynamic memory allocation in depth, since these operations form the foundation of data structure implementations. Recursive functions are also discussed, but adds a powerful sample program that illustrates a superb use for recursion. Beginning Data Structures in C++ presents the concepts of data abstraction along with with many illustrations of the different types. Key emphasis is on growable arrays or vectors, abstract data types (classes), linked lists, stacks and queues. The idea of a growable array is illustrated using structures as a "record" type data structure. Variant record implemented using unions are illustrated with solid examples. Two chapters of Beginning Data Structures in C++ present classes and their construction and use (abstract data types). However, the emphasis of class design is upon those elements that are required for data structure implementation and simple ADTs. No attempt has been made to turn this into an OOP primer. With an understanding of classes, the next series of chapters explore single and double linked lists, stacks and queues in great detail with many examples. A key principle is making reusable containers classes using only basic C++ OOP facilities. (Templates are considered an advanced data structures topic covered in CSIII.) Next, Beginning Data Structures in C++ discusses in depth binary file processing techniques including Inquiry and Update programs, relative record method, remainder method and ISAM methods. Hashing techniques are covered as they relate to direct file processing. Trees are covered including binary trees and binary searchable trees. The programming example illustrates how to construct a binary search tree for an ISAM data base. The last chapter of Beginning Data Structures in C++ discusses the broad topic of sorting algorithms including straight selection, bubble, Quicksort, Heapsort and Shellsort. A benchmark program is also presented along with methods for timing and random number generation.
Publisher:
ISBN: 9781941415542
Category :
Languages : en
Pages : 598
Book Description
Beginning Data Structures in C++ begins with a short analysis of functional abstraction which serves as a review of basic C++ programming operations especially array and structure processing actions. This includes Top-down design, stub testing and testing oracles. In fact, every example in Beginning Data Structures in C++ has an associated testing oracle to solidify how programs can be fully tested. User header files and multi-source files are used throughout the book. Next, Beginning Data Structures in C++ presents pointers and dynamic memory allocation in depth, since these operations form the foundation of data structure implementations. Recursive functions are also discussed, but adds a powerful sample program that illustrates a superb use for recursion. Beginning Data Structures in C++ presents the concepts of data abstraction along with with many illustrations of the different types. Key emphasis is on growable arrays or vectors, abstract data types (classes), linked lists, stacks and queues. The idea of a growable array is illustrated using structures as a "record" type data structure. Variant record implemented using unions are illustrated with solid examples. Two chapters of Beginning Data Structures in C++ present classes and their construction and use (abstract data types). However, the emphasis of class design is upon those elements that are required for data structure implementation and simple ADTs. No attempt has been made to turn this into an OOP primer. With an understanding of classes, the next series of chapters explore single and double linked lists, stacks and queues in great detail with many examples. A key principle is making reusable containers classes using only basic C++ OOP facilities. (Templates are considered an advanced data structures topic covered in CSIII.) Next, Beginning Data Structures in C++ discusses in depth binary file processing techniques including Inquiry and Update programs, relative record method, remainder method and ISAM methods. Hashing techniques are covered as they relate to direct file processing. Trees are covered including binary trees and binary searchable trees. The programming example illustrates how to construct a binary search tree for an ISAM data base. The last chapter of Beginning Data Structures in C++ discusses the broad topic of sorting algorithms including straight selection, bubble, Quicksort, Heapsort and Shellsort. A benchmark program is also presented along with methods for timing and random number generation.