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Stoakes L: The Linux Memory Manager

The Linux Memory Manager

Chapter 1: Introduction Chapter 2: Physical Memory Chapter 3: Virtual Memory Chapter 4: Process Memory Chapter 5: Memory Mapping Chapter 6: Page Faults Chapter 7: Reverse Mappings Chapter 8: Manipulating Userland Memory Chapter 9: The Page Cache Chapter 10: Writeback Chapter 11: Reclaim and Memory Pressure Chapter 12: Swap Memory Chapter 13: The Out of Memory (OOM) Killer Chapter 14: Practical Memory Management

The Rust Programming Language, 3rd Edition

Routledge Research in Museum Studies

Over the past few years an increasing number of museums have experimented with social media to demonstrate that they are listening and engaging in the world outside. While a number of new publications describe the rise of social media as a potential panacea for dwindling audiences, this book is unique in its recognition that participation has not, for the most part, affected the majority of museum practices. Using a number of global examples to describe and map the ways in which social media has been explored within communication programs, authors Russo and Kelly offer a window into the challenges which face future communication strategies and curatorial practices within museums. In this way new essential lessons for museum professionals, museum studies students, and potential collaborators are made accessible.

Over the past few years an increasing number of museums have experimented with social media to demonstrate that they are listening and engaging in the world outside. While a number of new publications describe the rise of social media as a potential panacea for dwindling audiences, this book is unique in its recognition that participation has not, for the most part, affected the majority of museum practices. Participation programs have certainly been introduced to a number of museums and as this book will show, some have been tremendously successful. Yet, for the most part, participation has been limited and the bulk of engagement has tended to be around new forms of publication from within rather than discussions with diverse audiences. Based on research conducted with international museums over the past 6 years, this book explores three key areas: engagement, participation, and co-creation as the keystones for understanding the value of the "social" museum. Using a number of global examples to describe and map the ways in which social media has been explored within communication programs, authors Russo and Kelly offer a window into the challenges which face future communication strategies and curatorial practices within museums. This book develops models for new partnerships, based on critical analysis of both the impact of social media and evaluations of some of the most successful examples in the sector to date. In this way new essential lessons for museum professionals, museum studies students, and potential collaborators are made accessible.

Museums, Social Inclusion, and Online Networks

"Covers Kotlin basics and the JavaFX library. Features over 30 math, science, and algorithmic projects, such as how to model the motion of a pendulum, simulate the orbits of a binary star system, render the Mandelbrot set, and implement nature-inspired algorithms. Also covers randomness, recursion, sorting and searching, and optimization"--

Learn Kotlin Through 37 Projects Kotlin isn’t just for building Android apps. As you’ll learn in Kotlin from Scratch, it’s also a general programming language for crafting both elegant and efficient code. With the aid of 37 hands-on projects, you’ll move quickly through the language basics while building your problem-solving skills, even tackling advanced concepts like fractals, dynamic systems, and nature-inspired algorithms. You’ll explore the way Kotlin handles variables, control structures, functions, classes, and data structures, and you’ll learn to create visualizations using Kotlin and the JavaFX graphics library. Then you’ll build increasingly sophisticated apps to practice what you’ve learned while tackling challenges from math and science to algorithms and optimization. As you progress through the book, you will: <ul><li>Simulate physical systems, like the intricate dance of binary stars</li><li>Implement the classic Hill cipher for encryption and decryption&nbsp;</li><li>Generate beautiful fractals with recursive algorithms&nbsp;</li><li>Program classic computer science algorithms for sorting and searching</li><li>Solve the infamous Berlin52 traveling salesman problem&nbsp;</li></ul> Expand your language repertoire and improve your computational thinking with Kotlin from Scratch.

A Project-Based Introduction for the Intrepid Programmer

Kotlin from Scratch

Vital information on AI, ML, and 5G, and implementing these topics for cellular network design and optimization AI for Design and Optimization of Cellular Networks focuses on the intersection of cellular communications and AI, discussing current advances, key concepts, challenges, opportunities, and lifecycle management. Divided into two parts, the first part provides the background of AI and cellular communications, exploring the challenges that are associated with creation, deployment, operation, and maintenance of systems for the design and optimization of cellular networks. The second part explains the process of network planning, design, and optimization of cellular networks, including examples and use cases in each area. The second part also discusses the application of AI to energy saving, the challenges that operators face, and a glimpse of future trends for AI, cellular networks, and their related NDO (Network Design and Optimization) activities. The book also includes coverage of AI-powered design technologies, performance characterization of advanced antenna systems, propagation predictions, and more. With heavy contribution from industry professionals at Ericsson, AI for Design and Optimization of Cellular Networks includes detailed information on: Evolution of cellular communications from the early GSM days until today, with special emphasis on the arrival of 5G and its implications compared with LTESupervised, unsupervised, semi-supervised, and reinforcement learning with an intuitive focus, covering their distinctive characteristicsDifferent types of digital twins, their fundamental properties, their suitability for design and optimization of cellular networks, and using them together with AI techniquesTransition from traditional network performance management and operations towards an AI-driven combination of control loops An informed and timely exploration of key developments and challenges by those who work on the frontline, AI for Design and Optimization of Cellular Networks is an essential resource for professionals working in cellular communications and AI, providing a one-of-a-kind blend of practical and theoretical information.

AI for Design and Optimization of Cellular Networks

The Core Network for 5G Advanced, Second Edition covers up to the 3GPP release 17 &amp; 18 which includes the core network for 5G Advanced as well as a large number of new features added by 3GPP to expand the initial 5G Core specifications in rel-15/16. This new release includes A complete update to reflect developments in Releases 17 and 18, along with new chapters on Service Exposure, non-3GPP access, 3GPP access for new use cases, Edge computing, Industry and Enterprise features, Regulatory services and Network automation and AI/ML, an overview of the 5G Core Architecture, and much more. Examples of 5G network deployment options for different use cases are also included. Written by authors who are heavily involved in the development of 5G standards, and who have written several successful books on 4G and 5G Core Networks, this book provides an authoritative reference on the technologies and standards of the 3GPP 5G Core network.

The Core Network for 5G Advanced

Applications in R and Python

Essentials of Big Data Analytics

The synergy between fog computing and the IoT facilitates the growth of smart applications and services, empowering various industries to harness the full potential of IoT technologies while ensuring faster and more efficient data processing. In essence, IoT devices collect data, and fog computing provide a mechanism for processing data closer to the source, optimizing performance, latency, privacy, and overall system efficiency. Together, these concepts contribute to building more effective and responsive IoT ecosystems. Fundamentals of Fog Computing and the Internet of Things for Smart Healthcare explores the intersection of fog computing and the IoT. The book educates researchers and graduate students about the concepts of fog computing and IoT, explaining how these technologies work, their benefits, and potential challenges. It discusses how fog computing enhances data processing in real-time. Alongside the companion book, 'Advances in Fog computing and the Internet of Things for Smart Healthcare', this book provides readers with a comprehensive understanding of how fog computing and IoT are transforming the landscape of healthcare, enabling more efficient, personalized, and accessible healthcare services.

Fundamentals of Fog Computing and the Internet of Things for Smart Healthcare

Fueling Blockchain Innovation and DApp Expansion

Consensus

Learn How to Code through Interactive Examples

Python Practice Lab

Probability for Deep Learning Quantum provides readers with the first book to address probabilistic methods in the deep learning environment and the quantum technological area simultaneously, by using a common platform: the Many-Sorted Algebra (MSA) view. While machine learning is created with a foundation of probability, probability is at the heart of quantum physics as well. It is the cornerstone in quantum applications. These applications include quantum measuring, quantum information theory, quantum communication theory, quantum sensing, quantum signal processing, quantum computing, quantum cryptography, and quantum machine learning. Although some of the probabilistic methods differ in machine learning disciplines from those in the quantum technologies, many techniques are very similar. Probability is introduced in the text rigorously, in Komogorov’s vision. It is however, slightly modified by developing the theory in a Many-Sorted Algebra setting. This algebraic construct is also used in showing the shared structures underlying much of both machine learning and quantum theory. Both deep learning and quantum technologies have several probabilistic and stochastic methods in common. These methods are described and illustrated using numerous examples within the text. Concepts in entropy are provided from a Shannon as well as a von-Neumann view. Singular value decomposition is applied in machine learning as a basic tool and presented in the Schmidt decomposition. Besides the in-common methods, Born’s rule as well as positive operator valued measures are described and illustrated, along with quasi-probabilities. Author Charles R. Giardina provides clear and concise explanations, accompanied by insightful and thought-provoking visualizations, to deepen your understanding and enable you to apply the concepts to real-world scenarios.

A Many-Sorted Algebra View

Probability for Deep Learning Quantum

Autonomous Cyber Resilience

Quantum Computing: Principles and Paradigms covers a broad range of topics, providing a state-of-the-art and comprehensive reference for the rapid progress in the field of quantum computing and related technologies from major international companies (such as IBM, Google, Intel, Rigetti, Q-Control) and academic researchers. This book appeals to a broad readership, as it covers comprehensive topics in the field of quantum computing, including hardware, software, algorithms, and applications, with chapters written by both academic researchers and industry developers. This book presents readers with the fundamental concepts of quantum computing research, along with the challenges involved in developing practical devices and applications.

Principles and Paradigms

Quantum Computing

The Linux Memory Manager

Bibliografische Angaben

Inhaltsverzeichnis

Schlagworte

Bibliografische Angaben

Inhaltsverzeichnis

Schlagworte

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