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Computer Science Textbooks 2019-2020 Subscribe or Recommend these journals to your Librarian! FREE access to the selected articles. *Please log in to your existing account or register for a FREE account to enjoy this. Details on page 6 Fuzzy Logic Theory and Applications Part I and Part II by Lotfi A Zadeh (UC Berkeley) & Rafik A Aliev (Azerbaijan State Oil and Industry University, Azerbaijan) Nowadays, voluminous textbooks and mono- graphs in fuzzy logic are devoted only to separate or some combination of separate facets of fuzzy logic. There is a lack of a single book that presents a comprehensive and self-contained theory of fuzzy logic and its applications. Written by world renowned authors, Lofti Zadeh, also known as the Father of Fuzzy Logic, and Rafik Aliev, who are pioneers in fuzzy logic and fuzzy sets, this unique compendium includes all the principal facets of fuzzy logic such as logical, fuzzy-set-theoretic, epistemic and relational. Theoretical problems are prominently illustrated and illuminated by numerous carefully worked-out and thought-through examples. Readership: Researchers, academics, professionals, graduate and undergraduate students in fuzzy logic and its applications. 500pp Dec 2018 978-981-3238-17-6 US$158 £139 Logic and Language Models for Computer Science (3rd Edition) by Dana Richards & Henry Hamburger (George Mason University, USA) Key Features: The emphasis is on Logic. Logic is described in the context of reasoning (not circuits) with a concentration on proof techniques. The discussion entails a chapter on Program Verification and a chapter on Prolog programming There is a forthright treatment of non-determinism. Non-determinism is fundamental to generative techniques, like grammatical models and recursively defined constructs such as regular expressions, and are integral to machine models of context-free languages The treatment of constructive proofs (in particular, simulation-based proofs of computability) are cast in explicit algorithmic notation, which is familiar to the Computer Science student Readership: Students and professionals interested in theoretical computation and language models for computer science. 468pp Nov 2017 978-981-3229-20-4 US$98 £86 978-981-3230-50-7(pbk) US$58 £51 An Introduction to the Analysis of Algorithms (3rd Edition) by Michael Soltys (California State University Channel Islands, USA) A successor to the first and second editions, this updated and revised book is a leading companion guide for students and engineers alike, specifically software engineers who design algorithms. While succinct, this edition is mathematically rigorous, covering the foundations for both computer scientists and mathematicians with interest in the algorithmic foundations of Computer Science. Besides expositions on traditional algorithms such as Greedy, Dynamic Programming and Divide & Conquer, the book explores two classes of algorithms that are often overlooked in introductory textbooks: Randomised and Online algorithms — with emphasis placed on the algorithm itself. The book also covers algorithms in Linear Algebra, and the foundations of Computation. The coverage of Randomized and Online algorithms is timely: the former have become ubiquitous due to the emergence of cryptography, while the latter are essential in numerous fields as diverse as operating systems and stock market predictions. Readership: Students of undergraduate courses in algorithms and programming and associated professionals. 328pp Apr 2018 978-981-3235-90-8 US$98 £86 Request for Inspection Copy Email: [email protected] or scan the QR code

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Computer ScienceTextbooks 2019-2020

Subscribe or Recommend these journals to your Librarian!FREE access to the selected articles.*Please log in to your existing account or register for a FREE account to enjoy this. Details on page 6

Fuzzy Logic Theory and ApplicationsPart I and Part IIby Lotfi A Zadeh (UC Berkeley) & Rafik A Aliev(Azerbaijan State Oil and Industry University, Azerbaijan)

Nowadays, voluminous textbooks and mono-graphs in fuzzy logic are devoted only to separate or some combination of separate facets of fuzzy logic. There is a lack of a single book that presents a comprehensive and self-contained theory of fuzzy logic and its applications.

Written by world renowned authors, Lofti Zadeh, also known as the Father of Fuzzy Logic, and Rafik Aliev, who are pioneers in fuzzy logic and fuzzy sets, this unique compendium includes all the principal facets of fuzzy logic such as logical, fuzzy-set-theoretic, epistemic and relational. Theoretical problems are prominently illustrated and illuminated by numerous carefully worked-out and thought-through examples.

Readership: Researchers, academics, professionals, graduate and undergraduate students in fuzzy logic and its applications.

500pp Dec 2018978-981-3238-17-6 US$158 £139

Logic and Language Models for Computer Science (3rd Edition)by Dana Richards & Henry Hamburger (George Mason University, USA)

Key Features: ○ The emphasis is on Logic. Logic is

described in the context of reasoning(not circuits) with a concentrationon proof techniques. The discussionentails a chapter on ProgramVerificationandachapteronPrologprogramming

○ There is a forthright treatment ofnon-determinism. Non-determinismis fundamental to generativetechniques, like grammatical modelsandrecursivelydefinedconstructssuch as regular expressions, andare integral to machine models ofcontext-free languages

○ The treatment of constructive proofs(in particular, simulation-based proofsof computability) are cast in explicitalgorithmic notation, which is familiarto the Computer Science student

Readership: Students and professionals interested in theoretical computation and language models for computer science.

468pp Nov 2017978-981-3229-20-4 US$98 £86978-981-3230-50-7(pbk) US$58 £51

An Introduction to the Analysis of Algorithms (3rd Edition)by Michael Soltys (California State University Channel Islands, USA)

A successor to the first and second editions, this updated and revised book is a leading companion guide for students and engineers alike, specifically software engineers who design algorithms. While succinct, this edition is mathematically rigorous, covering the foundations for both computer scientists and mathematicians with interest in the algorithmic foundations of Computer Science.

Besides expositions on traditional algorithms such as Greedy, Dynamic Programming and Divide & Conquer, the book explores two classes of algorithms that are often overlooked in introductory textbooks: Randomised and Online algorithms — with emphasis placed on the algorithm itself. The book also covers algorithms in Linear Algebra, and the foundations of Computation. The coverage of Randomized and Online algorithms is timely: the former have become ubiquitous due to the emergence of cryptography, while the latter are essential in numerous fields as diverse as operating systems and stock market predictions.

Readership: Students of undergraduate courses in algorithms and programming and associated professionals.

328pp Apr 2018978-981-3235-90-8 US$98 £86

Request for Inspection Copy Email: [email protected] or scan the QR code

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Computer Science Textbooks 2019-2020

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Primers in Electronics and Computer Science

An Elementary Approach to Design and Analysis of Algorithmsby Lekh Raj Vermani (Kurukshetra University, India) & Shalini Vermani (Apeejay School of Management, India)

Algorithms form such an important part of study in mathematics and in computer science that some computer scientists call algorithms the ‘heart’ of theoretical science. Any course leading to a degree in computer science, computer engineering and information technology is considered incomplete without one to two one semester courses in algorithms.

Readership: Students studying for degrees in Computer science, Computer engineering and Information technology.

424pp April 2019978-1-78634-675-9 US$98 £85

Hands-On Computer Visionby Marc Pomplun (University of Massachusetts Boston, USA)

This book provides its readers the fundamental concepts in computer vision and how to design and implement vision algorithms for given problems. No prior knowledge of computer vision is required, but readers are expected to have experience in computer programming. Commented sample code in the C language and a variety of programming exercises in this book will assist the readers in developing an in-depth understanding of computer vision algorithms and their implementations.

Readership: Undergraduates, graduates, and professionals studying/dealing with machine perception/computer vision, pattern recognition/image analysis, software engineering/programming, neural networks, robotics & automated systems.

650pp Jul 2019978-981-4571-96-8 US$129 £107978-981-4571-97-5(pbk) US$78 £65

Computer ArchitectureDigital Circuits to Microprocessorsby Guilherme Arroz, José Monteiro & Arlindo Oliveira (Instituto Superior Técnico, Portugal)

An introductory text to computer architecture, this comprehensive volume covers the concepts from logic gates to advanced computer architecture. It comes with a full spectrum of exercises and web-downloadable support materials, including assembler and simulator, which can be used in the context of different courses. The authors also make available a hardware description, which can be used in labs and assignments, for hands-on experimentation with an actual, simple processor.

Readership: Professionals, researchers, academics, undergraduate and graduate students in computer engineering, circuits & systems, software engineering, biomedical engineering and aerospace engineering.

752pp Oct 2018978-981-3238-33-6 US$188 £165

Primers in Electronics and Computer Science - Vol 3

Image Processing and AnalysisA Primerby Georgy Gimel’farb (The University of Auckland,New Zealand) & Patrice Delmas (The University of Auckland, New Zealand)

This textbook guides readers through their first steps into the challenging world of mimicking human vision with computational tools and techniques pertaining to the field of image processing and analysis. While today’s theoretical and applied processing and analysis of images meet with challenging and complex problems, this primer is confined to a much simpler, albeit critical, collection of image-to-image transformations, including image normalisation, enhancement, and filtering.

Readership: Advanced undergraduates and graduate students in science, engineering, environmental science, life sciences/biology and medicine. Engineers and scientists in need of a refresher or an introduction to image processing/computer vision.

248pp Oct 2018978-1-78634-581-3 US$88 £75

Digital Signal Processing for High-Speed Optical Communicationby Jianjun Yu (ZTE (TX) Inc, USA), Xinying Li (Georgia Institute of Technology, USA) & Junwen Zhang (ZTE (TX) Inc, USA)

Digital Signal Processing for High-Speed Optical Communication covers a wide area of DSP topics in optical communications, and describes state-of-the-art digital signal processing techniques for high-speed optical communication. In this book, numerous advanced digital signal processing techniques aiming at the promotion of the capacity increase and performance improvement of optical or optical-wireless communication systems and networks are presented and explained. Coverage includes new technologies, optical filter with MLSE, and new pre-coding and pre-equalization applicable to single-carrier and multi-carrier, direct-detection and coherent-detection optical commutation systems and networks.

Readership: Graduate students, researchers and professionals dealing with Digital Signal Processing in optical fiber communication.

276pp May 2018978-981-3233-97-3 US$78 £69

Introduction to ComputationalEarthquake Engineering (3rd Edition)by Muneo Hori (University of Tokyo, Japan)

Two new chapters included are advanced topics on high performance computing and for constructing an analysis model. This is the first book in earthquake engineering that explains the application of modern numerical computation (which includes high performance computing) to various engineering seismology problems.

Readership: Engineers and advanced undergraduates in the field of earthquake engineering.

452pp Aug 2018978-1-78634-451-9 US$158 £140978-1-78634-619-3(pbk) US$85 £75For more information,

visit: www.worldscientific.com

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Request for Inspection Copy Email: [email protected] or scan the QR code

Deep Learning Neural NetworksDesign and Case Studiesby Daniel Graupe (University of Illinois, Chicago, USA)

This comprehensive textbook is the first in the new emerging field. Numerous case studies are succinctly demonstrated in the text. It is intended for use as a one-semester graduate-level university text and as a textbook for research and development establishments in industry, medicine and financial research.

Readership: Researchers, academics, professionals, graduate and undergraduate students in machine learning, artificial intelligence, neural networks/networking, software engineering, and in their applications in medicine, security engineering and financial engineering.

280pp Aug 2016978-981-3146-44-0 US$88 £73978-981-3146-45-7(pbk) US$48 £40

GMDH-Methodology and Implementation in MATLABedited by Godfrey Onwubolu (Sheridan Institute of Technology & Advanced Learning, Canada)

This is the first book to explore GMDH using MATLAB (matrix laboratory) language. Readers will learn how to implement GMDH in MATLAB as a method of dealing with big data analytics. Error-free source codes in MATLAB have been included in supplementary material (accessible online) to assist users in their understanding in GMDH and to make it easy for users to further develop variations of GMDH algorithms.

Readership: Professionals and students interested in data mining and analytics.

284pp Aug 2016978-1-78326-612-8 US$108 £90

Introduction to Evolutionary Informaticsby Robert J Marks II (Baylor University, USA), William A Dembski (Evolutionary Informatics Lab, USA) & Winston Ewert (Evolutionary Informatics Lab, USA)

“With penetrating brilliance, and with a masterful exercise of pedagogy and wit, the authors take on Chaitin’s challenge, that Darwin’s theory should be subjectable to a mathematical assessment and either pass or fail. Surveying over seven decades of development in algorithmics and information theory, they make a compelling case that it fails.” Bijan Nemati, Jet Propulsion Laboratory, California Institute of Technology, USA

Readership: General / Popular; Enthusiasts in science, engineering and apologetics and to those interested in the information theoretic components of closely examined evolution.

332pp Apr 2017978-981-3142-13-8 US$118 £98978-981-3142-14-5(pbk) US$58 £48

3D Printing and Additive Manufacturing (5th Edition)Principles and Applications Fifth Edition of Rapid Prototyping by Chee Kai Chua & Kah Fai Leong (NTU, Singapore)

Reviews of the previous edition: “This is the most comprehensive and relevant textbook in the field of 3D Printing and Additive Manufacturing. Whenever I teach subjects related to rapid product development I use this book as a reference. My students appreciate the easy way the information is introduced very much. This is an excellent book for both undergraduate and postgraduate students.” Paulo Jorge Bártolo, Polytechnic Institute of Leiria, Portugal

“This could be a very intriguing book for manufacturing engineers, designers, artists, model makers, and hobbyists, since so many creative avenues could be explored using this technology. This book provides the knowledge required to understand AM, and all the background necessary to make 3D printed objects.” IEEE Electrical Insulation Magazine

Readership: Diploma and advanced diploma students, undergraduates, postgraduates, consultants, academics, researchers and professionals in mechanical and industrial engineering.

456pp Jan 2017978-981-3146-75-4 US$128 £106978-981-3146-76-1(pbk) US$58 £48

Series on Component-Based Software Development - Vol 3

An Introduction to Component-Based Software Developmentby Kung-Kiu Lau & Simone di Cola (University of Manchester, UK)

The book provides a comprehensive coverage of the widely accepted desiderata of component-based software development, as well as the foundations that these desiderata necessitate. Its unique focus is on component models, the cornerstone of component-based software development. In addition, it presents and analyses existing approaches according to these desiderata.

Readership: Researchers, academics, professionals, postgraduate and advanced undergraduate students in software engineering.

160pp Aug 2017978-981-3221-87-1 US$78 £69

Primers in Electronics and Computer Science - Vol 2

Programming: A Primer Coding for Beginnersby Tom Bell (University of Southampton, UK)

“Targeted at students as well as professionals, everyone can learn to code some basics of programming with this book. The book is an excellent resource to read and learn to code.” Computing Reviews

Programming: A Primer offers an easy way into coding for anyone with an interest in using technology to solve problems, whether a school or new undergraduate computer science student or a working professional. It gives everyone, regardless of background, the ideal foundations and motivation needed to get to grips with programming.

Readership: Any readers who are interested in programming and looking for an introduction to the topic.

188pp Sep 2015978-1-78326-706-4 US$75 £62978-1-78326-707-1(pbk) US$35 £29

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Computer Science Textbooks 2019-2020

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Introduction to Windows® and Graphics Programming with Visual C++® (2nd Edition)(with Companion Media Pack) by Roger Mayne (University at Buffalo, State University of New York, USA)

This second edition brings the original book up to date reflecting the evolution of Visual C++ and the Windows environment since the first edition. All example projects, figures and text in the book have been revised and coverage of touch screen developments has been added. Two new chapters on touch screen programming are based on programming strategies developed throughout the book. New examples demonstrate touch screen operations and consider programming for a tablet environment. More than seventy example projects are provided in the book’s Companion Media Pack.

Readership: Technical people interested in developing computer programs for the Microsoft Windows environment, practicing engineers, scientists, engineering students, and others who would like to understand Visual C++ programming and use its inherent graphic capabilities.

480pp Aug 2015978-981-4641-86-9 US$88 £73978-981-4699-40-2(pbk) US$48 £40

Advances and Opportunities with Big Data and Analytics - Vol 2

Future AutomationChanges to Lives and to Businessesby Timothy E Carone (University of Notre Dame, USA)

“Future Automation is a mind-expanding experience in the form of a book. It helps me envision what’s next for rapidly changing business models and to project the likely impact of autonomous systems on people and society. As a leader of talent programs for thousands of professionals, understanding and effectively navigating the nexus of humans and machines is critical to my firm’s ability to compete — both as a values- and people-based professional firm and as a prosperous business. Despite complexities addressed, the book is highly readable, as the authors provide compelling graphics and evocative analogies.” Martin Fiore, Americas Tax Talent Leader, Ernst & Young LLP

Readership: Textbook targeted at undergraduate students studying Business Management as a degree.

232pp Nov 2018978-981-3142-32-9 US$78 £65978-981-3142-33-6(pbk) US$39 £32

Advanced Textbooks in Mathematics

Crowds in EquationsAn Introduction to the Microscopic Modeling of Crowdsby Bertrand Maury & Sylvain Faure (Université Paris-Sud, France & CNRS, France)

The book contains self-contained descriptions of existing models, accompanied by critical analyses of their properties both from a theoretical and practical standpoint. It aims to develop ‘modeling skills’ within the readers, giving them the ability to develop their own models and improve existing ones. Written in connection with a full, open source Python Library, this project also enables readers to run the simulations discussed within the text.

Readership: Students or researchers interested in crowd motion modeling.

200pp Sep 2018978-1-78634-551-6 US$78 £69

Fundamentals of Network Biologyby WenJun Zhang (Sun Yat-sen University, China)

Across 12 parts and 26 chapters, with Matlab codes provided for most models and algorithms, this self-contained title provides an in-depth and complete insight on network biology. It is a valuable read for high-level undergraduates and postgraduates in the areas of biology, ecology, environmental sciences, medical science, computational science, applied mathematics, and social science.

Readership: Advanced undergraduates and graduate students and researchers in biology, ecology, pharmacology, applied mathematics, computational science, etc.

568pp Jul 2018978-1-78634-508-0 US$188 £165

Optimization TheoryA Concise Introductionby Jiongmin Yong (University of Central Florida, USA)

A slim book such as this which touches on major aspects of optimization theory will be very much needed for most readers. We present nonlinear programming, convex programming, and linear programming in a self-contained manner. This book is for a one-semester course for upper level undergraduate students or first/second year graduate students. It should also be useful for researchers working on many interdisciplinary areas other than optimization.

Readership: Undergraduates; graduates and researchers interested in classical and basic optimization theory.

236pp Jul 2018978-981-3237-64-3 US$78 £69

Category Theory and ApplicationsA Textbook for Beginnersby Marco Grandis (Università di Genova, Italy)

“It’s well written and is peppered with sections titled, ‘exercises and complements’. Clearly the reader needs to take these very seriously. I personally find exercises in category theory and homological algebra very satisfying because of their architecture and their minimalist quality: it’s a lot of fun for it all to come down to dancing all over a commutative diagram or two and to draw a lot of arrows. I like the subject a great deal, and I think this is a good book to learn it from.” MAA Reviews

Readership: Graduate students and researchers of mathematics, computer science, physics.

304pp Mar 2018978-981-3231-06-1 US$98 £86

ENRICH YOUR LIBRARY’S COLLECTION

RECOMMEND THESE BOOKS TO YOUR LIBRARIAN.

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Computer Science Textbooks 2019-2020

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An Introduction to Genetic Algorithmsfor Scientists and Engineersby David A Coley (University of Exeter)

This invaluable book has been designed to be useful to most practising scientists and engineers, whatever their field and however rusty their mathematics and programming might be. The approach taken is largely practical, with algorithms being presented in full and working code (in BASIC, FORTRAN, PASCAL AND C) included on a floppy disk to help the reader get up and running as quickly as possible. The text could also be used as part of an undergraduate course on search and optimisation. Student exercises are included at the end of several of the chapters, many of which are computer-based and designed to encourage exploration of the method.

Readership: Computer scientists and engineers.

244pp Feb 1999978-981-02-3602-1 US$49 £41

Series in Machine Perception and Artificial Intelligence - Vol 54

Fundamentals of RoboticsLinking Perception to Actionby Ming Xie (Singapore-MIT Alliance & Nanyang Technological University, Singapore)

This book will guide you, the curious beginner, from yesterday to tomorrow. The book will cover practical knowledge in understanding, developing, and using robots as versatile equipment to automate a variety of industrial processes or tasks. But, the book will also discuss the possibilities we can look forward to when we are capable of creating a vision-guided, learning machine.

Readership: Upper-level undergraduates, graduates and researchers in robotics & automated systems, artificial intelligence, machine perception and computer vision.

716pp Apr 2003978-981-238-313-6 US$200 £166978-981-238-335-8(pbk) US$99 £82

Dynamic VisionFrom Images to Face Recognitionby Shaogang Gong (Queen Mary and WestfieldCollege), Stephen J McKenna (University of Dundee)& Alexandra Psarrou (University of Westminster)

“Dynamic Vision is a unique book. To my knowledge, there is no comparable book that covers the broad and complex domain of adaptive visual recognition in such a readable way. The clear presentation style helps the reader to appreciate the painstaking work involved in making the automatic recognition of faces possible iK the authors were successful in providing ‘ a coherent and unified treatment of the issue from a computational and systems perspective’ and highly recommend the book to any researcher interested in face recognition or visual recognition in general.” Cognitive Systems Research

This book describes the latest models and algorithms that are capable of performing face recognition in a dynamic setting. The key question is how to design computer vision and machine learning algorithms that can operate robustly and quickly under poorly controlled and changing conditions. Consideration of face recognition as a problem in dynamic vision is perhaps both novel and important. The algorithms described have numerous potential applications in areas such as visual surveillance, verification, access control, video-conferencing, multimedia and visually mediated interaction.

Readership: Researchers in image processing, computer vision, neural networks, artificial intelligence, pattern recognition, robotics and real-time systems.

364pp May 2000978-1-86094-181-8 US$85 £71

Series in Machine Perception and Artificial Intelligence - Vol 32

Introduction to Pattern RecognitionStatistical, Structural, Neural and Fuzzy Logic Approachesby Menahem Friedman (Nuclear Research Center-Negv, Israel) & Abraham Kandel (University of South Florida, USA & Tel-Aviv University, Israel)

This book is an introduction to pattern recognition, meant for undergraduate and graduate students in computer science and related fields in science and technology. Most of the topics are accompanied by detailed algorithms and real world applications. In addition to statistical and structural approaches, novel topics such as fuzzy pattern recognition and pattern recognition via neural networks are also reviewed. Each topic is followed by several examples solved in detail. The only prerequisites for using this book are a one-semester course in discrete mathematics and a knowledge of the basic preliminaries of calculus, linear algebra and probability theory.

Readership: Undergraduate and graduate students in computer science and related fields in science and technology.

344pp Mar 1999978-981-02-3312-9 US$65 £54

Ad Hoc and Sensor NetworksTheory and Applications (2nd Edition)by Carlos de Morais Cordeiro (Intel Corporation, USA) & Dharma Prakash Agrawal (University of Cincinnati, USA)

Key Features: ○ This is the second edition of a very

successfulfirstedition,whichupdatesthe most recent advances in ad hoc and sensor networks

○ Thefirstbooktodiscussdirectionalantennasfromanetworkingperspective, including medium access control and routing issues

○ Includes an exhaustive list of potential application areas and technological solutions in sensor networks

Readership: Researchers, developers and institutions keen in the applications of wireless devices, and graduate and senior undergraduate students in networking, computer engineering and electrical engineering.

664pp Apr 2011978-981-4338-88-2 US$167 £139978-981-4338-89-9(pbk) US$72 £60

Exploring Big Historical DataThe Historian’s Macroscopeby Shawn Graham (Carleton University, Canada),Ian Milligan (University of Waterloo, Canada) & Scott Weingart (Indiana University, USA)

“Without a question, I would use this book in a digital history class, especially one in which I wanted to introduce network visualizations. It does an excellent job of defining and illustrating the insiders’language of digital humanities, making the volume accessible to students and to historians. The presentation of the basics of network analysis is among the clearest that I’ve seen in a digital humanities text.” Professor Janice L Reiff, Core Faculty in Digital Humanities, UCLA

Readership: Researchers, graduate and undergraduate students in the field of Digital Humanities, and people looking to digitize historical archives.

308pp Nov 2015978-1-78326-608-1 US$98 £81978-1-78326-637-1(pbk) US$39 £32

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Computer Science Textbooks 2019-2020

Lecture Notes Series on Computing - Vol 12

Planar Graph Drawingby Takao Nishizeki (Tohoku University, Japan) & Md Saidur Rahman (Bangladesh University of Engineering and Technology, Bangladesh)

The book presents the important fundamental theorems and algorithms on planar graph drawing with easy-to-understand and constructive proofs. Extensively illustrated and with exercises included at the end of each chapter, it is suitable for use in advanced undergraduate and graduate level courses on algorithms, graph theory, graph drawing, information visualization and computational geometry. The book will also serve as a useful reference source for researchers in the field of graph drawing and software developers in information visualization, VLSI design and CAD.

Readership: Upper-level undergraduates, graduate students, researchers, academics, lecturers, and professionals in theoretical computer science, combinatorics & graph theory and computer engineering.

312pp Sep 2004978-981-256-033-9 US$119 £99

Introduction to Digital Signal ProcessingComputer Musically Speakingby Tae Hong Park (Tulane University, USA)

“In this book Tae Hong Park builds a sturdy bridge that connects the world of math, acoustics and engineering, on one shore, with the world of computer music on the other. A traveller going in either direction on this bridge will find the experience lucid and enlightening.” Paul Lansky, William Shubael Conant Professor of Music, Princeton University, New Jersey

Readership: Undergraduate and graduate students, researchers and academics in digital audio and multimedia as well as music

452pp Nov 2009978-981-279-027-9 US$155 £129

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International Journal of Neural Systems (IJNS) http://www.worldscientific.com/ijnsEditor-in-Chief: Hojjat Adeli (The Ohio State University, USA)

About IJNS: Aims & Scope The International Journal of Neural Systems is a bimonthly peer-reviewed journal which covers information processing in natural and artificial neural systems. The journal presents a fresh, undogmatic attitude towards this multi-disciplinary field, aiming to be a forum for novel ideas and improved understanding of collective and cooperative phenomena in systems with computational capabilities.

International Journal of Software Engineering and Knowledge Engineering (IJSEKE)http://www.worldscientific.com/ijsekeEditor-in-Chief: Professor S.K. Chang (Knowledge Systems Institute)

About IJSEKE: Aims & ScopeThis journal publishes papers in the areas of software engineering methods and practices, object-oriented systems, rapid prototyping, software reuse, cleanroom software engineering, stepwise refinement/enhancement, formal methods of specification, ambiguity in software development, impact of CASE on software development life cycle, knowledge engineering methods and practices, logic programming, expert systems, knowledge-based systems, distributed knowledge-based systems, deductive database systems, knowledge representations, knowledge-based systems in language translation & processing, software and knowledge-ware maintenance, reverse engineering in software design, and applications in various domains of interest.

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This journal publishes both applications and theory-oriented articles on new developments in the fields of pattern recognition and artificial intelligence, and is of interest to both researchers in industry and academia. From the beginning, there has always been a close relationship between the disciplines of pattern recognition and artificial intelligence. The recognition and understanding of sensory data like speech or images, which are major concerns in pattern recognition, have always been considered as important subfields of artificial intelligence. On the other hand, topics like knowledge representation, inference, search or learning that belong to the center of artificial intelligence, have constantly attracted the attention of researchers working in pattern recognition.

Parallel Processing Letters (PPL) http://www.worldscientific.com//pplEditor-in-ChiefA Adamatzky (University of the West of England)

This journal covered include: • design and analysis of parallel and distributed algorithms • theory of parallel computation • parallel programming languages • parallel programming environments • parallel architectures and VLSI circuits • unconventional computational problems (e.g., time-varying variables, interacting variables, time-varying complexity) • unconventional computational paradigms (e.g., biomolecular computing, chemical computing, quantum computing) • computing in nature (e.g., photosynthesis, plant respiration, bacterial communication) • nature-inspired algorithms (e.g., genetic algorithms, neural networks, swarm intelligence)

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