Data structures based on linear relations, Xingni Zhou, Zhiyuan Ren, Yanzhuo Ma, Kai Fan, Ji Xiang
Название: Sequential and Parallel Algorithms and Data Structures ISBN: 3030252086 ISBN-13(EAN): 9783030252083 Издательство: Springer Рейтинг: Цена: 27950 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This undergraduate textbook is a concise introduction to the basic toolbox of structures that allow efficient organization and retrieval of data, key algorithms for problems on graphs, and generic techniques for modeling, understanding, and solving algorithmic problems.
Автор: Agarwal, Dr Basant, Baka, Benjamin Название: Hands-On Data Structures and Algorithms with Python 2 ed ISBN: 1788995570 ISBN-13(EAN): 9781788995573 Издательство: Неизвестно Рейтинг: Цена: 45970 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Data structures help us to organize and align the data in a very efficient way. This book will surely help you to learn important and essential data structures through Python implementation for better understanding of the concepts.
Автор: Damir Gainanov Название: Graphs for Pattern Recognition: Infeasible Systems of Linear Inequalities ISBN: 3110480131 ISBN-13(EAN): 9783110480139 Издательство: Walter de Gruyter Рейтинг: Цена: 92930 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This monograph deals with mathematical constructions that are foundational in such an important area of data mining as pattern recognition. By using combinatorial and graph theoretic techniques, a closer look is taken at infeasible systems of linear inequalities, whose generalized solutions act as building blocks of geometric decision rules for pattern recognition.Infeasible systems of linear inequalities prove to be a key object in pattern recognition problems described in geometric terms thanks to the committee method. Such infeasible systems of inequalities represent an important special subclass of infeasible systems of constraints with a monotonicity property - systems whose multi-indices of feasible subsystems form abstract simplicial complexes (independence systems), which are fundamental objects of combinatorial topology.The methods of data mining and machine learning discussed in this monograph form the foundation of technologies like big data and deep learning, which play a growing role in many areas of human-technology interaction and help to find solutions, better solutions and excellent solutions. Contents: PrefacePattern recognition, infeasible systems of linear inequalities, and graphsInfeasible monotone systems of constraintsComplexes, (hyper)graphs, and inequality systemsPolytopes, positive bases, and inequality systemsMonotone Boolean functions, complexes, graphs, and inequality systemsInequality systems, committees, (hyper)graphs, and alternative coversBibliographyList of notationIndex
Автор: Dan Gusfield Название: Integer Linear Programming in Computational and Systems Biology: An Entry-Level Text and Course ISBN: 1108421768 ISBN-13(EAN): 9781108421768 Издательство: Cambridge Academ Рейтинг: Цена: 43550 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Integer linear programming is a versatile modeling and optimization technique with potential to transform biological computation. This hands-on text, designed for students, researchers, and professionals in both biology and computational fields, demonstrates applications in genomics, RNA and protein folding, DNA sequencing, phylogenetics, and more.
Автор: Xingni Zhou, Zhiyuan Ren, Yanzhuo Ma, Kai Fan, Ji Xiang Название: Non-linear Data Structures and Data Processing ISBN: 3110676052 ISBN-13(EAN): 9783110676051 Издательство: Walter de Gruyter Цена: 60390 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
The systematic description starts with basic theory and applications of different kinds of data structures, including storage structures and models. It also explores on data processing methods such as sorting, index and search technologies. Due to its numerous exercises the book is a helpful reference for graduate students, lecturers.
Applicable to any problem that requires a finite number of solutions, finite state-based models (also called finite state machines or finite state automata) have found wide use in various areas of computer science and engineering. Handbook of Finite State Based Models and Applications provides a complete collection of introductory materials on finite state theories, algorithms, and the latest domain applications. For beginners, the book is a handy reference for quickly looking up model details. For more experienced researchers, it is suitable as a source of in-depth study in this area.
The book first introduces the fundamentals of automata theory, including regular expressions, as well as widely used automata, such as transducers, tree automata, quantum automata, and timed automata. It then presents algorithms for the minimization and incremental construction of finite automata and describes Esterel, an automata-based synchronous programming language for embedded system software development.
Moving on to applications, the book explores regular path queries on graph-structured data, timed automata in model checking security protocols, pattern matching, compiler design, and XML processing. It also covers other finite state-based modeling approaches and applications, including Petri nets, statecharts, temporal logic, and UML state machine diagrams.
Автор: Judson, Philip Название: Knowledge-based expert systems in chemistry ISBN: 1788014715 ISBN-13(EAN): 9781788014717 Издательство: Royal Society of Chemistry Рейтинг: Цена: 127840 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This new edition has been thoroughly revised and updated to reflect the advances in using knowledge-based expert systems for chemistry.
Автор: Nasser Kehtarnavaz, Abhishek Sehgal, Shane Parris Название: Smartphone-Based Real-Time Digital Signal Processing: Second Edition ISBN: 1681734672 ISBN-13(EAN): 9781681734675 Издательство: Eurospan Рейтинг: Цена: 80850 T Наличие на складе: Поставка под заказ. Описание: Real-time or applied digital signal processing courses are offered as follow-ups to conventional or theory-oriented digital signal processing courses in many engineering programs for the purpose of teaching students the technical know-how for putting signal processing algorithms or theory into practical use. These courses normally involve access to a teaching laboratory that is equipped with hardware boards, in particular DSP boards, together with their supporting software. A number of textbooks have been written discussing how to achieve real-time implementation on these hardware boards. This book discusses how to use smartphones as hardware boards for real-time implementation of signal processing algorithms as an alternative to the hardware boards that are used in signal processing laboratory courses. The fact that mobile devices, in particular smartphones, have become powerful processing platforms led to the development of this book enabling students to use their own smartphones to run signal processing algorithms in real-time considering that these days nearly all students possess smartphones. Changing the hardware platforms that are currently used in applied or real-time signal processing courses to smartphones creates a truly mobile laboratory experience or environment for students. In addition, it relieves the cost burden associated with using dedicated signal processing boards noting that the software development tools for smartphones are free of charge and are well-maintained by smartphone manufacturers. This book is written in such a way that it can be used as a textbook for real-time or applied digital signal processing courses offered at many universities. Ten lab experiments that are commonly encountered in such courses are covered in the book. This book is written primarily for those who are already familiar with signal processing concepts and are interested in their real-time and practical aspects. Similar to existing real-time courses, knowledge of C programming is assumed. This book can also be used as a self-study guide for those who wish to become familiar with signal processing app development on either Android or iPhone smartphones.
Автор: Nasser Kehtarnavaz, Abhishek Sehgal, Shane Parris Название: Smartphone-Based Real-Time Digital Signal Processing: Second Edition ISBN: 1681734656 ISBN-13(EAN): 9781681734651 Издательство: Eurospan Рейтинг: Цена: 63070 T Наличие на складе: Поставка под заказ. Описание: Emphasizes environmental policy, as well as the structure and details of the federal environmental statutes. This casebook focuses students` attention on how tradeoffs between environmental goals and social goals are resolved in different and difficult contexts. The book pays close attention to the political context in which regulation takes place.
Автор: Barab?si Название: Network Science ISBN: 1107076269 ISBN-13(EAN): 9781107076266 Издательство: Cambridge Academ Рейтинг: Цена: 35630 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Illustrated throughout in full colour, this pioneering textbook, spanning a wide range of disciplines from physics to the social sciences, is the only book needed for an introduction to network science. In modular format, with clear delineation between undergraduate and graduate material, its unique design is supported by extensive online resources.
Автор: Voulgaris Zacharias Название: Julia for Data Science ISBN: 1634621301 ISBN-13(EAN): 9781634621304 Издательство: Gazelle Book Services Рейтинг: Цена: 48210 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Master how to use the Julia language to solve business critical data science challenges. After covering the importance of Julia to the data science community and several essential data science principles, we start with the basics including how to install Julia and its powerful libraries. Many examples are provided as we illustrate how to leverage each Julia command, dataset, and function. Specialised script packages are introduced and described. Hands-on problems representative of those commonly encountered throughout the data science pipeline are provided, and we guide you in the use of Julia in solving them using published datasets. Many of these scenarios make use of existing packages and built-in functions, as we cover: 1. An overview of the data science pipeline along with an example illustrating the key points, implemented in Julia; 2. Options for Julia IDEs; 3. Programming structures and functions; 4. Engineering tasks, such as importing, cleaning, formatting and storing data, as well as performing data pre-processing; 5. Data visualisation and some simple yet powerful statistics for data exploration purposes; 6. Dimensionality reduction and feature evaluation; 7. Machine learning methods, ranging from unsupervised (different types of clustering) to supervised ones (decision trees, random forests, basic neural networks, regression trees, and Extreme Learning Machines); 8. Graph analysis including pinpointing the connections among the various entities and how they can be mined for useful insights. Each chapter concludes with a series of questions and exercises to reinforce what you learned. The last chapter of the book will guide you in creating a data science application from scratch using Julia.
Название: Handbook of Approximation Algorithms and Metaheuristics ISBN: 1498770150 ISBN-13(EAN): 9781498770156 Издательство: Taylor&Francis Рейтинг: Цена: 290400 T Наличие на складе: Поставка под заказ. Описание: This handbook reflects the tremendous growth in the field, over the past two decades. Through contributions from leading experts, this handbook provides a comprehensive introduction to the underlying theory and methodologies, as well as the various applications of approximation algorithms and metaheuristics.
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