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Preface and Acknowledgements xv Abbreviations List xvii PART ONE Global Introduction to WiMAX 1 1 Introduction to Broadband Wireless Access 3 1.1 The Need for Wireless Data Transmission 3 1.2 Wireless Networks and Broadband Wireless Access (BWA) 4 1
Advanced Linux 3D graphics programming Chapter 1 Basic Linux 3D Graphics Concepts ..................1 2D Graphics Fundamentals ......................................1 3D Graphics Fundamentals ......................................3 3D Coordinate Sys
It is important in distributed computer systems to identify those events (at identifiable points in time) that are concurrent, or not related to each other in time. A group of concurrent events may sometimes attempt to simultaneously use the same re
Scilab is a free scientific software package for numerical computations providing a powerful open computing environment for engineering and scientific applications. Scilab is an open source software. Since 1994 it has been distributed freely along w
Tao is an object-oriented scr ipting language with dynamic-typing variables supporting complex data structures. It has powerful text processing ability such as string regular expression matching. It provides built-in numerical data types such as com
MPI和CUDA结合实现并行 Modern graphics processing units (GPUs) with many-core architectures have emerged as general-purpose parallel computing platforms that can accelerate simulation science applications tremendously. While multiGPU workstations with sever
This book provides an introduction to computer science, and shows how modern computerbased tools can be used in science, mathematics, and engineering. Computer-aided mathematics has reached a level where it can support effectively many computations
This is a book for people who love finite elements and MATLAB3. We will use the popular computer package MATLAB as a matrix calculator for doing finite element analysis. Problems will be solved mainly using MATLAB to carry out the tedious and length
Neural Network Toolbox™ provides algorithms, functions, and apps to create, train, visualize, and simulate neural networks. You can perform classification, regression, clustering, dimensionality reduction, time-series forecasting, and dynamic system
Temporal logics provide a generic logical framework for modelling and reasoning about time and temporal aspects of the world. While stemming from philosophical considerations and discussions, temporal logics have become over the past 50 years very u
Computations performed by graph algorithms are data driven, and require a high degree of random data access. Despite the great progresses made in disk technology, it still cannot provide the level of efficient random access required by graph computati
The theory of finite automata on finite stings, infinite strings, and trees has had a distinguished history. First, automata were introduced to represent idealized switching circuits augmented by unit delays. This was the period of Shannon, McCullou
Table of Contents Getting Started Variables and Basic Types Container Types Linear Algebra – Arrays Advanced Array Concepts Plotting Functions Classes Iterating Error Handling Namespaces, Scopes, and Modules Input and Output Testing Comprehensive Ex
Efficient algorithms for signal processing are critical to very large scale future appli- cations such as video processing and four-dimensional medical imaging. Similarly, efficient algorithms are important for embedded and power-limited application
TensorFlow Machine Learning Cookbook by Nick McClure TensorFlow is an open source software library for Machine Intelligence. The independent recipes in this book will teach you how to use TensorFlow for complex data computations and will let you dig
Mastering TensorFlow 1.x_Advanced machine learning and deep learning concepts using TensorFlow 1.x and Keras-Packt Publishing(2018) Google’s TensorFlow has become a major player and a go-to tool for developers to bring smart processing within an app
PARI/GP is a widely used computer algebra system designed for fast computations in number theory (factorizations, algebraic number theory, elliptic curves, modular forms, L functions...), but also contains a large number of other useful functions to
This book covers a verity of topics, including in-memory data grid, highly available service grid, streaming (event processing for IoT and fast data) and in-memory computing use cases from high-performance computing to get performance gains. The boo
Part 2 of this monograph builds on the introduction to tensor net- works and their operations presented in Part 1. It focuses on tensor network models for super-compressed higher-order representation of data/parameters and related cost functions, wh
