The Embedding

The Embedding PDF Author: Ian Watson
Publisher: Gateway
ISBN: 0575114525
Category : Fiction
Languages : en
Pages : 183

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Book Description
Ian Watson's brilliant debut novel was one of the most significant publications in British SF in the 1970s. Intellectually bracing and grippingly written, it is the story of three experiments in linguistics, and is driven by a searching analysis of the nature of communication. Deep in the Brazilian jungle, an isolated tribe face eviction from their ancestral lands - and the psychedelic fungus that makes their religious language possible. In a British laboratory, a brilliant linguist conducts cutting-edge experiments - but does his search for answers come at too high a cost? And in the ultimate test of linguistics, First Contact presents a challenge unlike any humanity has faced before . . . Fiercely intelligent, energetic and challenging, The Embedding immediately established Watson as a writer of rare power and vision, and is now recognized as a modern classic of SF.

The Embedding

The Embedding PDF Author: Ian Watson
Publisher: Gateway
ISBN: 0575114525
Category : Fiction
Languages : en
Pages : 183

Get Book Here

Book Description
Ian Watson's brilliant debut novel was one of the most significant publications in British SF in the 1970s. Intellectually bracing and grippingly written, it is the story of three experiments in linguistics, and is driven by a searching analysis of the nature of communication. Deep in the Brazilian jungle, an isolated tribe face eviction from their ancestral lands - and the psychedelic fungus that makes their religious language possible. In a British laboratory, a brilliant linguist conducts cutting-edge experiments - but does his search for answers come at too high a cost? And in the ultimate test of linguistics, First Contact presents a challenge unlike any humanity has faced before . . . Fiercely intelligent, energetic and challenging, The Embedding immediately established Watson as a writer of rare power and vision, and is now recognized as a modern classic of SF.

Entities and Structures in the Embedding Process

Entities and Structures in the Embedding Process PDF Author: Qingong Wei
Publisher: Springer
ISBN: 9811323909
Category : Social Science
Languages : en
Pages : 277

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Book Description
This book provides a rare integrative interpretation of government-enterprise relations in China, offering readers a comprehensive understanding of the topic. Focusing on the government and its principal goals, it describes the transition of government-enterprise relations and highlights the embedding of the entities of government and enterprises in specific political, economic and social environments. Further, it analyzes how the government’s institutional arrangement regulates the behavior of various types of enterprises with different structures, and the logic mechanisms such institutional arrangements use to change and shape government-enterprise relations. Based on these issues and logic mechanisms, the book points out the complexity of government-enterprise relations and the diversity of their transition path, thus reflecting some typical features in the overall reform of China and discussing specific factors related to China’s social development experience.

The Embedding Method for Electronic Structure

The Embedding Method for Electronic Structure PDF Author: John E. Inglesfield
Publisher:
ISBN: 9780750310420
Category : Electronic structure
Languages : en
Pages :

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Book Description
The embedding method is a way of solving the Schrödinger equation for electrons in a region of space joined to a substrate. It is a flexible method, as well as surface electronic structure, it can be used to study interfaces, adsorbates, conductance through molecules and confined electrons, and even used to calculate the energy distribution of electrons confined by nanostructures. Embedding can be applied to solving Maxwell's equations, leading to an efficient way of finding the photonic and plasmonic band structure. In this book, John Inglesfield reviews the embedding method for calculating electronic structures and its application within modern condensed matter physics research. Supplemented with demonstration programmes, codes and examples, this book provides a thorough review of the method and would be an accessible starting point for graduate students or researchers in physics and physical chemistry wishing to understand and use the method, or as a single up to date and authoritative reference source for those already using the method.

Graph Embedding for Pattern Analysis

Graph Embedding for Pattern Analysis PDF Author: Yun Fu
Publisher: Springer Science & Business Media
ISBN: 1461444578
Category : Technology & Engineering
Languages : en
Pages : 264

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Book Description
Graph Embedding for Pattern Recognition covers theory methods, computation, and applications widely used in statistics, machine learning, image processing, and computer vision. This book presents the latest advances in graph embedding theories, such as nonlinear manifold graph, linearization method, graph based subspace analysis, L1 graph, hypergraph, undirected graph, and graph in vector spaces. Real-world applications of these theories are spanned broadly in dimensionality reduction, subspace learning, manifold learning, clustering, classification, and feature selection. A selective group of experts contribute to different chapters of this book which provides a comprehensive perspective of this field.

Graph Classification And Clustering Based On Vector Space Embedding

Graph Classification And Clustering Based On Vector Space Embedding PDF Author: Kaspar Riesen
Publisher: World Scientific
ISBN: 9814465038
Category : Computers
Languages : en
Pages : 346

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Book Description
This book is concerned with a fundamentally novel approach to graph-based pattern recognition based on vector space embedding of graphs. It aims at condensing the high representational power of graphs into a computationally efficient and mathematically convenient feature vector.This volume utilizes the dissimilarity space representation originally proposed by Duin and Pekalska to embed graphs in real vector spaces. Such an embedding gives one access to all algorithms developed in the past for feature vectors, which has been the predominant representation formalism in pattern recognition and related areas for a long time.

Extending and Embedding PHP

Extending and Embedding PHP PDF Author: Sara Golemon
Publisher: Sams Publishing
ISBN: 067232704X
Category : Computers
Languages : en
Pages : 437

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Book Description
Teaches every PHP developer how to increase the performance and functionality of PHP- based websites, programs and applications.

Brauer Type Embedding Problems

Brauer Type Embedding Problems PDF Author: Arne Ledet
Publisher: American Mathematical Soc.
ISBN: 0821837265
Category : Mathematics
Languages : en
Pages : 183

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Book Description
This monograph is concerned with Galois theoretical embedding problems of so-called Brauer type with a focus on 2-groups and on finding explicit criteria for solvability and explicit constructions of the solutions. The advantage of considering Brauer type embedding problems is their comparatively simple condition for solvability in the form of an obstruction in the Brauer group of the ground field. The book presupposes knowledge of classical Galois theory and the attendant algebra. Before considering questions of reducing the embedding problems and reformulating the solvability criteria, the author provides the necessary theory of Brauer groups, group cohomology and quadratic forms. The book will be suitable for students seeking an introduction to embedding problems and inverse Galois theory. It will also be a useful reference for researchers in the field.

Embedding Problems in Symplectic Geometry

Embedding Problems in Symplectic Geometry PDF Author: Felix Schlenk
Publisher: Walter de Gruyter
ISBN: 3110199696
Category : Mathematics
Languages : en
Pages : 261

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Book Description
Symplectic geometry is the geometry underlying Hamiltonian dynamics, and symplectic mappings arise as time-1-maps of Hamiltonian flows. The spectacular rigidity phenomena for symplectic mappings discovered in the last two decades show that certain things cannot be done by a symplectic mapping. For instance, Gromov's famous "non-squeezing'' theorem states that one cannot map a ball into a thinner cylinder by a symplectic embedding. The aim of this book is to show that certain other things can be done by symplectic mappings. This is achieved by various elementary and explicit symplectic embedding constructions, such as "folding", "wrapping'', and "lifting''. These constructions are carried out in detail and are used to solve some specific symplectic embedding problems. The exposition is self-contained and addressed to students and researchers interested in geometry or dynamics.

Microwave De-embedding

Microwave De-embedding PDF Author: Giovanni Crupi
Publisher: Academic Press
ISBN: 0124045928
Category : Technology & Engineering
Languages : en
Pages : 481

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Book Description
This groundbreaking book is the first to give an introduction to microwave de-embedding, showing how it is the cornerstone for waveform engineering. The authors of each chapter clearly explain the theoretical concepts, providing a foundation that supports linear and non-linear measurements, modelling and circuit design. Recent developments and future trends in the field are covered throughout, including successful strategies for low-noise and power amplifier design. This book is a must-have for those wishing to understand the full potential of the microwave de-embedding concept to achieve successful results in the areas of measurements, modelling, and design at high frequencies. With this book you will learn: The theoretical background of high-frequency de-embedding for measurements, modelling, and design Details on applying the de-embedding concept to the transistor’s linear, non-linear, and noise behaviour The impact of de-embedding on low-noise and power amplifier design The recent advances and future trends in the field of high-frequency de-embedding Presents the theory and practice of microwave de-embedding, from the basic principles to recent advances and future trends Written by experts in the field, all of whom are leading researchers in the area Each chapter describes theoretical background and gives experimental results and practical applications Includes forewords by Giovanni Ghione and Stephen Maas

QoS-Aware Virtual Network Embedding

QoS-Aware Virtual Network Embedding PDF Author: Chunxiao Jiang
Publisher: Springer Nature
ISBN: 981165221X
Category : Technology & Engineering
Languages : en
Pages : 395

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Book Description
As an important future network architecture, virtual network architecture has received extensive attention. Virtual network embedding (VNE) is one of the core services of network virtualization (NV). It provides solutions for various network applications from the perspective of virtual network resource allocation. The Internet aims to provide global users with comprehensive coverage. The network function requests of hundreds of millions of end users have brought great pressure to the underlying network architecture. VNE algorithm can provide effective support for the reasonable and efficient allocation of network resources, so as to alleviate the pressure off the Internet. At present, a distinctive feature of the Internet environment is that the quality of service (QoS) requirements of users are differentiated. Different regions, different times, and different users have different network function requirements. Therefore, network resources need to be reasonably allocated according to users' QoS requirements to avoid the waste of network resources. In this book, based on the analysis of the principle of VNE algorithm, we provide a VNE scheme for users with differentiated QoS requirements. We summarize the common user requirements into four categories: security awareness, service awareness, energy awareness, and load balance, and then introduce the specific implementation methods of various differentiated QoS algorithms. This book provides a variety of VNE solutions, including VNE algorithms for single physical domain, VNE algorithms for across multiple physical domains, VNE algorithms based on heuristic method, and VNE algorithms based on machine learning method.