Software Engineering and Algorithms

Software Engineering and Algorithms
Author :
Publisher : Springer
Total Pages : 741
Release :
ISBN-10 : 3030774414
ISBN-13 : 9783030774417
Rating : 4/5 (14 Downloads)

Synopsis Software Engineering and Algorithms by : Radek Silhavy

This book constitutes the refereed proceedings of the Software Engineering and Algorithms section of the 10th Computer Science On-line Conference 2021 (CSOC 2021), held on-line in April 2021. Software engineering research and its applications to intelligent algorithms take an essential role in computer science research. In this book, modern research methods, application of machine and statistical learning in the software engineering research are presented.

Intelligent Algorithms in Software Engineering

Intelligent Algorithms in Software Engineering
Author :
Publisher : Springer Nature
Total Pages : 621
Release :
ISBN-10 : 9783030519650
ISBN-13 : 3030519651
Rating : 4/5 (50 Downloads)

Synopsis Intelligent Algorithms in Software Engineering by : Radek Silhavy

This book gathers the refereed proceedings of the Intelligent Algorithms in Software Engineering Section of the 9th Computer Science On-line Conference 2020 (CSOC 2020), held on-line in April 2020. Software engineering research and its applications to intelligent algorithms have now assumed an essential role in computer science research. In this book, modern research methods, together with applications of machine and statistical learning in software engineering research, are presented.

Evolutionary Computation and Optimization Algorithms in Software Engineering: Applications and Techniques

Evolutionary Computation and Optimization Algorithms in Software Engineering: Applications and Techniques
Author :
Publisher : IGI Global
Total Pages : 282
Release :
ISBN-10 : 9781615208104
ISBN-13 : 1615208100
Rating : 4/5 (04 Downloads)

Synopsis Evolutionary Computation and Optimization Algorithms in Software Engineering: Applications and Techniques by : Chis, Monica

Evolutionary Computation and Optimization Algorithms in Software Engineering: Applications and Techniques lays the foundation for the successful integration of evolutionary computation into software engineering. It surveys techniques ranging from genetic algorithms, to swarm optimization theory, to ant colony optimization, demonstrating their uses and capabilities. These techniques are applied to aspects of software engineering such as software testing, quality assessment, reliability assessment, and fault prediction models, among others, to providing researchers, scholars and students with the knowledge needed to expand this burgeoning application.

Fundamentals of Data Structures

Fundamentals of Data Structures
Author :
Publisher :
Total Pages : 564
Release :
ISBN-10 : OCLC:4297616
ISBN-13 :
Rating : 4/5 (16 Downloads)

Synopsis Fundamentals of Data Structures by : Ellis Horowitz

Graph Algorithms

Graph Algorithms
Author :
Publisher : Cambridge University Press
Total Pages : 203
Release :
ISBN-10 : 9781139504157
ISBN-13 : 1139504150
Rating : 4/5 (57 Downloads)

Synopsis Graph Algorithms by : Shimon Even

Shimon Even's Graph Algorithms, published in 1979, was a seminal introductory book on algorithms read by everyone engaged in the field. This thoroughly revised second edition, with a foreword by Richard M. Karp and notes by Andrew V. Goldberg, continues the exceptional presentation from the first edition and explains algorithms in a formal but simple language with a direct and intuitive presentation. The book begins by covering basic material, including graphs and shortest paths, trees, depth-first-search and breadth-first search. The main part of the book is devoted to network flows and applications of network flows, and it ends with chapters on planar graphs and testing graph planarity.

Algorithms, Part II

Algorithms, Part II
Author :
Publisher : Addison-Wesley Professional
Total Pages : 973
Release :
ISBN-10 : 9780133847260
ISBN-13 : 0133847268
Rating : 4/5 (60 Downloads)

Synopsis Algorithms, Part II by : Robert Sedgewick

This book is Part II of the fourth edition of Robert Sedgewick and Kevin Wayne’s Algorithms, the leading textbook on algorithms today, widely used in colleges and universities worldwide. Part II contains Chapters 4 through 6 of the book. The fourth edition of Algorithms surveys the most important computer algorithms currently in use and provides a full treatment of data structures and algorithms for sorting, searching, graph processing, and string processing -- including fifty algorithms every programmer should know. In this edition, new Java implementations are written in an accessible modular programming style, where all of the code is exposed to the reader and ready to use. The algorithms in this book represent a body of knowledge developed over the last 50 years that has become indispensable, not just for professional programmers and computer science students but for any student with interests in science, mathematics, and engineering, not to mention students who use computation in the liberal arts. The companion web site, algs4.cs.princeton.edu contains An online synopsis Full Java implementations Test data Exercises and answers Dynamic visualizations Lecture slides Programming assignments with checklists Links to related material The MOOC related to this book is accessible via the "Online Course" link at algs4.cs.princeton.edu. The course offers more than 100 video lecture segments that are integrated with the text, extensive online assessments, and the large-scale discussion forums that have proven so valuable. Offered each fall and spring, this course regularly attracts tens of thousands of registrants. Robert Sedgewick and Kevin Wayne are developing a modern approach to disseminating knowledge that fully embraces technology, enabling people all around the world to discover new ways of learning and teaching. By integrating their textbook, online content, and MOOC, all at the state of the art, they have built a unique resource that greatly expands the breadth and depth of the educational experience.

Data Structures and Algorithms

Data Structures and Algorithms
Author :
Publisher : Springer Science & Business Media
Total Pages : 375
Release :
ISBN-10 : 9781461218548
ISBN-13 : 1461218543
Rating : 4/5 (48 Downloads)

Synopsis Data Structures and Algorithms by : John Beidler

This textbook provides an in depth course on data structures in the context of object oriented development. Its main themes are abstraction, implementation, encapsulation, and measurement: that is, that the software process begins with abstraction of data types, which then lead to alternate representations and encapsulation, and finally to resource measurement. A clear object oriented approach, making use of Booch components, will provide readers with a useful library of data structure components and experience in software reuse. Students using this book are expected to have a reasonable understanding of the basic logical structures such as stacks and queues. Throughout, Ada 95 is used and the author takes full advantage of Ada's encapsulation features and the ability to present specifications without implementational details. Ada code is supported by two suites available over the World Wide Web.

Introduction to Engineering Programming

Introduction to Engineering Programming
Author :
Publisher : John Wiley & Sons
Total Pages : 0
Release :
ISBN-10 : 0471429279
ISBN-13 : 9780471429272
Rating : 4/5 (79 Downloads)

Synopsis Introduction to Engineering Programming by : James Paul Holloway

Introduction to Engineering Programming: Solving Problems with Algorithms provides students of engineering with the tools to think algorithmically about scientific and mathematical problems within the first and second year engineering curriculum. The text supports the teaching of basic numerical and image processing algorithms as examples of engineering design. The creative aspects of solving unfamiliar problems by using available tools -- the heart of engineering education and practice-are emphasized. A concern for elegance and correctness is a core value that the text seeks to convey to students. The text uses C++ to implement algorithms, and is presented clearly and precisely. The text emphasizes a subset of C++ that can be used to solve many problems from physics, calculus, biology and introductory engineering courses, and it de-emphasizes many features of the language that are unnecessary or ill-designed for this purpose, or too advanced to be comfortably covered in a first year college engineering course.

Compression and Coding Algorithms

Compression and Coding Algorithms
Author :
Publisher : Springer Science & Business Media
Total Pages : 285
Release :
ISBN-10 : 9781461509356
ISBN-13 : 1461509351
Rating : 4/5 (56 Downloads)

Synopsis Compression and Coding Algorithms by : Alistair Moffat

Compression and Coding Algorithms describes in detail the coding mechanisms that are available for use in data compression systems. The well known Huffman coding technique is one mechanism, but there have been many others developed over the past few decades, and this book describes, explains and assesses them. People undertaking research of software development in the areas of compression and coding algorithms will find this book an indispensable reference. In particular, the careful and detailed description of algorithms and their implementation, plus accompanying pseudo-code that can be readily implemented on computer, make this book a definitive reference in an area currently without one.

Software Engineering and Algorithms

Software Engineering and Algorithms
Author :
Publisher : Springer Nature
Total Pages : 741
Release :
ISBN-10 : 9783030774424
ISBN-13 : 3030774422
Rating : 4/5 (24 Downloads)

Synopsis Software Engineering and Algorithms by : Radek Silhavy

This book constitutes the refereed proceedings of the Software Engineering and Algorithms section of the 10th Computer Science On-line Conference 2021 (CSOC 2021), held on-line in April 2021. Software engineering research and its applications to intelligent algorithms take an essential role in computer science research. In this book, modern research methods, application of machine and statistical learning in the software engineering research are presented.