Engineering the Complex SOC The first unified hardware/software guide to processor-centric SOC design Processor-centric approaches enable SOC designers to complete far larger projects in far less time. Engineering the Complex SOCis a comprehensive, example-driven guide to creating designs with configurable, extensible processors. Drawing upon Tensilica's Xtensa architecture and TIE language, Dr. Chris Rowen systematically illuminates the issues, opportunities, and challenges of processor-centric...
If you're like most R users, you have deep knowledge and love for statistics. But as your organization continues to collect huge amounts of data, adding tools such as Apache Spark makes a lot of sense. With this practical book, data scientists and professionals working with large-scale data applications will learn how to use Spark from R to tackle big data and big compute problems. Authors Javier Luraschi, Kevin Kuo, and Edgar Ruiz show you how to use R with Spark to solve different data analys...
Cooperative Control of Multi-Agent Systems: An Optimal and Robust Perspective reports and encourages technology transfer in the field of cooperative control of multi-agent systems. The book deals with UGVs, UAVs, UUVs and spacecraft, and more. It presents an extended exposition of the authors' recent work on all aspects of multi-agent technology. Modelling and cooperative control of multi-agent systems are topics of great interest, across both academia (research and education) and industry (for...
As an experienced JavaScript developer moving to server-side programming, you need to implement classic data structures and algorithms associated with conventional object-oriented languages like C# and Java. This practical guide shows you how to work hands-on with a variety of storage mechanisms - including linked lists, stacks, queues, and graphs - within the constraints of the JavaScript environment. Determine which data structures and algorithms are most appropriate for the problems you're tr...
This book constitutes the thoroughly refereed post-proceedings of the 33rd International Workshop on Graph-Theoretic Concepts in Computer Science, WG 2007, held in Dornburg, Germany, in June 2007. The 30 revised full papers presented together with one invited paper were carefully selected from 99 submissions. The papers feature original results on all aspects of graph-theoretic concepts in Computer Science, including structural graph theory, graph-based modeling, and graph-drawing.
This book constitutes the refereed proceedings of the 6th Scandinavian Workshop on Algorithm Theory, SWAT'98, held in Stockholm, Sweden, in July 1998. The volume presents 28 revised full papers selected from 56 submissions; also included are three invited contributions. The papers present original research on algorithms and data structures in various areas including computational geometry, parallel and distributed systems, graph theory, approximation, computational biology, queueing, Voronoi dia...
Handbook of Data Structures and Applications. Computer and Information Science Series
by Dinesh P Mehta
Data Structures & Algorithms in Swift (Third Edition)
by Kelvin Lau, Vincent Ngo, and Raywenderlich Tutorial Team
Designing Quality Databases with IDEF1X Information Models
by Thomas A. Bruce
COMPUTER MODELS OF PROCESS DYNAMICS Comprehensive overview of techniques for describing physical phenomena by means of computer models that are determined by mathematical analysis Computer Models of Process Dynamics covers everything required to do computer based mathematical modeling of dynamic systems, including an introduction to a scientific language, its use to program essential operations, and methods to approximate the integration of continuous signals. From a practical standpoint, r...
Azure Machine Learning Engineering
by Sina Fakhraee, Balamurugan Balakreshnan, and Megan Masanz
Fully build and productionize end-to-end machine learning solutions using Azure Machine Learning ServiceKey FeaturesAutomate complete machine learning solutions using Microsoft AzureUnderstand how to productionize machine learning modelsGet to grips with monitoring, MLOps, deep learning, distributed training, and reinforcement learningBook DescriptionData scientists working on productionizing machine learning (ML) workloads face a breadth of challenges at every step owing to the countless factor...
New Centrality Measures in Networks
by Fuad Aleskerov, Sergey Shvydun, and Natalia Meshcheryakova
Features Built around real-world case studies in a variety of different areas (finance, migration, trade, etc.) Suitable for students and professional researchers with an interest in complex network analysis Paired with a software package for readers who wish to apply the proposed models of centrality (in Python) available at https://github.com/SergSHV/slric.
Combinatorial Pattern Matching (Theoretical Computer Science and General Issues, #4009)
This book constitutes the refereed proceedings of the 17th Annual Symposium on Combinatorial Pattern Matching, CPM 2006, held in Barcelona, Spain, July 2006. The book presents 33 revised full papers together with 3 invited talks, organized in topical sections on data structures, indexing data structures, probabilistic and algebraic techniques, applications in molecular biology, string matching, data compression, and dynamic programming.
Azure Data Factory Cookbook
by Dmitry Anoshin, Dmitry Foshin, Roman Storchak, and Xenia Ireton
Solve real-world data problems and create data-driven workflows for easy data movement and processing at scale with Azure Data FactoryKey FeaturesLearn how to load and transform data from various sources, both on-premises and on cloudUse Azure Data Factory’s visual environment to build and manage hybrid ETL pipelinesDiscover how to prepare, transform, process, and enrich data to generate key insightsBook DescriptionAzure Data Factory (ADF) is a modern data integration tool available on Microsoft...
Algorithms in Bioinformatics (Lecture Notes in Computer Science, #3692) (Lecture Notes in Bioinformatics, #3692)
by Rita Casadio
We are pleased to present the proceedings of the 5th Workshop on Algorithms in Bioinformatics (WABI 2005) which took place in Mallorca, Spain, October 3-6, 2005. The WABI 2005 workshop was part of the ?ve ALGO 2005 conf- ence meetings, which, in addition to WABI, included ESA, WAOA, IWPEC, and ATMOS. WABI 2005 was sponsored by EATCS (the European Assoc- tion for Theoretical Computer Science), the ISCB (the International Society for Computational Biology), the Universitat Polit' ecnica de Catalun...
Feature Engineering for Machine Learning
by Alice Zheng and Amanda Casari
Feature engineering is a crucial step in the machine-learning pipeline, yet this topic is rarely examined on its own. With this practical book, you'll learn techniques for extracting and transforming features-the numeric representations of raw data-into formats for machine-learning models. Each chapter guides you through a single data problem, such as how to represent text or image data. Together, these examples illustrate the main principles of feature engineering. Rather than simply teach th...
Modeling Uncertainties in DC-DC Converters with Matlab(r) and Plecs(r) (Synthesis Lectures on Electrical Engineering)
by Farzin Asadi, Sawai Pongswatd, Kei Eguchi, and Ngo Lam Trung
Graph Drawing (Theoretical Computer Science and General Issues, #3843)
The 13th International Symposium on Graph Drawing (GD 2005) was held in Limerick, Ireland, September 12-14, 2005. One hundred and ?fteen participants from 19 countries attended GD 2005. In response to the call for papers the Program Committee received 101 subm- sions, each detailing original research or a system demonstration. Each submission was reviewed by at least three Program Committee members; each referee's c- ments were returned to the authors. Following extensive discussions, the comm-...