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Scalable Hardware Verification with Symbolic Simulation

This book is intended as an innovative overview of current formal verification methods, combined with an in-depth analysis of some advanced techniques to improve the scalability of these methods, and close the gap between design and verification in computer-aided design.

Semantic Software Design: A New Theory and Practical Guide for Modern Architects

With this practical book, architects, CTOs, and CIOs will learn a set of patterns for the practice of architecture, including analysis, documentation, and communication. Author Eben Hewitt shows you how to create holistic and thoughtful technology plans, communicate them clearly, lead people toward the vision, and become a great architect or Chief Architect.

Sampling Theory and Analog-to-Digital Conversion

Why another book on sampling theory and analog-to-digital conversion? This book takes a linear system theory approach to analog-to-digital conversion. From linear systems theory, we introduce sampling theory and use the tools from linear system theory to prove Shannon's sampling theorem. Shannon's sampling theorem shows how an analog signal can be converted to a discrete time signal and how the original can be exactly recovered from the discrete time signal. Digital is an approximation to discrete time so exact reconstruction is not possible; however, practically speaking the reconstructed signal is identical to the original analog signal. Digital is more than just 1's and 0's. Digital technology is universal. Once data is in digital form, it can be converted from one digital format to another without any additional loss of information (excluding lossy data compression).

Recent Developments in Anisotropic Heterogeneous Shell Theory: Applications of Refined and Three-dimensional Theory—Volume IIA (SpringerBriefs in Applied Sciences and Technology)

This brief book presents solutions of stress-strain problems for a wide class of anisotropic inhomogeneous shells obtained by the refined model. Studying these problems results in severe computational difficulties due to partial differential equations with variable coefficients resulting from the constitutive relations of the original model.

Raspberry Pi 3: Programming and Projects from Beginner to Expert

The all NEW Raspberry Pi 3 User Guide! Completely up-to-date information so you can get the most out of your Raspberry Pi 3. Grab the guide that should have come in the box with your Pi! What can you do with your Raspberry Pi 3? Only this guide provides a comprehensive, easy to understand, and completely up-to-date explanation of the Raspberry Pi 3’s many capabilities in 2018! Learn exactly what this remarkable computer can do and how you can implement the many features of this amazing device to improve your life, have fun, and save time every single day! Grab this guide today and learn:

Practical Time Series Analysis: Prediction with Statistics and Machine Learning

Time series data analysis is increasingly important due to the massive production of such data through the internet of things, the digitalization of healthcare, and the rise of smart cities. As continuous monitoring and data collection become more common, the need for competent time series analysis with both statistical and machine learning techniques will increase.

Practical Automated Machine Learning on Azure: Using Azure Machine Learning to Quickly Build AI Solutions

Develop smart applications without spending days and weeks building machine-learning models. With this practical book, you’ll learn how to apply Automated Machine Learning, a process that uses machine learning to help people build machine learning models. Deepak Mukunthu, Parashar Shah, and Wee Hyong Tok provide a mix of technical depth, hands-on examples, and case studies that show how customers are solving real-world problems with this technology.

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