C++ From Scratch: An Object-Oriented Approach is designed to walk novice programmers through the analysis, design and implementation of a functioning object-oriented application using C++. You will learn all the critical programming concepts and techniques associated with the language in the context of creating a functioning application. Best selling C++ author Jesse Liberty shows you how to create "Decryptix", a game of decoding a hidden pattern as quickly as possible, using nothing but successive guesses and the application of logic. Every example and technique is put into the context of achieving a Goal and accomplishing an end.
標簽： Object-Oriented programmers Approach designed
上傳時間： 2013-12-25
上傳用戶：225588
The many variants of the Unix operating system require use of a mode of thought that s significantly different from the one that s required by simpler operating systems. Think Unix introduces readers to important fundamental and intermediate Unix commands and, in the process, inculcates them in the Unix way of thinking. It s a worthy Goal in a world with more Linux users than ever, and author Jon Lasser accomplishes it. He s both a capable writer and a knowledgeable user of Unix shell commands. Lasser uses bash under Red Hat Linux in most examples--which usually apply equally well to other Unix variants--and makes asides about other shells and environments, as needed.
標簽： significantly operating variants of
上傳時間： 2017-09-04
上傳用戶：qq521
A few years ago I became interested in first person shooter games and in particular how the world levels are created and rendered in real time. At the same time I found myself in between jobs and so I embarked on an effort to learn about 3D rendering with the Goal of creating my own 3D rendering engine. Since I am a developer and not an artist I didn’t have the skills to create my own models, levels, and textures. So I decided to attempt to write a rendering engine that would render existing game levels. I mainly used information and articles I found on the web about Quake 2, Half Life, WAD and BSP files. In particular I found the Michael Abrash articles that he wrote for Dr. Dobbs magazine while working at Id to be very illuminating.
標簽： interested particular shooter became
上傳時間： 2013-12-13
上傳用戶：hanli8870
This book describes numerous situations that graduate students will commonly encounter as they work towards the Goal of earning their PhD. Starting from your very first day in the lab, to the beginning stages of your post-PhD job search, to writing your dissertation,we’ve tried to offer you sage advice on how to handle particular situations as they arise.
標簽： situations describes encounter commonly
上傳時間： 2013-12-16
上傳用戶：225588
Computational models are commonly used in engineering design and scientific discovery activities for simulating complex physical systems in disciplines such as fluid mechanics, structural dynamics, heat transfer, nonlinear structural mechanics, shock physics, and many others. These simulators can be an enormous aid to engineers who want to develop an understanding and/or predictive capability for complex behaviors typically observed in the corresponding physical systems. Simulators often serve as virtual prototypes, where a set of predefined system parameters, such as size or location dimensions and material properties, are adjusted to improve the performance of a system, as defined by one or more system performance objectives. Such optimization or tuning of the virtual prototype requires executing the simulator, evaluating performance objective(s), and adjusting the system parameters in an iterative, automated, and directed way. System performance objectives can be formulated, for example, to minimize weight, cost, or defects; to limit a critical temperature, stress, or vibration response; or to maximize performance, reliability, throughput, agility, or design robustness. In addition, one would often like to design computer experiments, run parameter studies, or perform uncertainty quantification (UQ). These approaches reveal how system performance changes as a design or uncertain input variable changes. Sampling methods are often used in uncertainty quantification to calculate a distribution on system performance measures, and to understand which uncertain inputs contribute most to the variance of the outputs. A primary Goal for Dakota development is to provide engineers and other disciplinary scientists with a systematic and rapid means to obtain improved or optimal designs or understand sensitivity or uncertainty using simulationbased models. These capabilities generally lead to improved designs and system performance in earlier design stages, alleviating dependence on physical prototypes and testing, shortening design cycles, and reducing product development costs. In addition to providing this practical environment for answering system performance questions, the Dakota toolkit provides an extensible platform for the research and rapid prototyping of customized methods and meta-algorithms
標簽： Optimization and Uncertainty Quantification
上傳時間： 2016-04-08
上傳用戶：huhu123456
The Goal of the present document is to give a starting point for people newly interested in R. I chose to emphasize on the understanding of how R works, with the aim of a beginner, rather than expert use.
標簽： R
上傳時間： 2016-04-08
上傳用戶：mrchen...
% 生成訓練樣本集 clear all; clc; P=[110 0.807 240 0.2 15 1 18 2 1.5; 110 2.865 240 0.1 15 2 12 1 2; 110 2.59 240 0.1 12 4 24 1 1.5; 220 0.6 240 0.3 12 3 18 2 1; 220 3 240 0.3 25 3 21 1 1.5; 110 1.562 240 0.3 15 3 18 1 1.5; 110 0.547 240 0.3 15 1 9 2 1.5]; 0 1.318 300 0.1 15 2 18 1 2]; T=[54248 162787 168380 314797; 28614 63958 69637 82898; 86002 402710 644415 328084; 230802 445102 362823 335913; 60257 127892 76753 73541; 34615 93532 80762 110049; 56783 172907 164548 144040]; @907 117437 120368 130179]; m=max(max(P)); n=max(max(T)); P=P'/m; T=T'/n; %-------------------------------------------------------------------------% pr(1:9,1)=0; %輸入矢量的取值范圍矩陣 pr(1:9,2)=1; bpnet=newff(pr,[12 4],{'logsig', 'logsig'}, 'traingdx', 'learngdm'); %建立BP神經網絡， 12個隱層神經元，4個輸出神經元 %tranferFcn屬性 'logsig' 隱層采用Sigmoid傳輸函數 %tranferFcn屬性 'logsig' 輸出層采用Sigmoid傳輸函數 %trainFcn屬性 'traingdx' 自適應調整學習速率附加動量因子梯度下降反向傳播算法訓練函數 %learn屬性 'learngdm' 附加動量因子的梯度下降學習函數 net.trainParam.epochs=1000;%允許最大訓練步數2000步 net.trainParam.Goal=0.001; %訓練目標最小誤差0.001 net.trainParam.show=10; %每間隔100步顯示一次訓練結果 net.trainParam.lr=0.05; %學習速率0.05 bpnet=train(bpnet,P,T); %------------------------------------------------------------------------- p=[110 1.318 300 0.1 15 2 18 1 2]; p=p'/m; r=sim(bpnet,p); R=r'*n; display(R);
上傳時間： 2016-05-28
上傳用戶：shanqiu
In this book, we study the interference cancellation and detection problem in multiantenna multi-user scenario using precoders. The Goal is to utilize multiple antennas to cancel the interference without sacrificing the diversity or the com- plexity of the system.
標簽： Cancellation6 Interference
上傳時間： 2020-05-27
上傳用戶：shancjb
When we started thinking about writing the first edition of this book a few years ago, we had been working together for more than five years on the borderline between propagation and signal processing. Therefore, it is not surprising that this book deals with propagation models and design tools for MIMO wireless communications. Yet, this book should constitute more than a simple combination of these two domains. It hopefully conveys our integrated understanding of MIMO, which results from endless controversial discussions on various multi-antenna related issues, as well as various interactions with numerous colleagues. Obviously, this area of technology is so large that it is beyond our aim to cover all aspects in details. Rather, our Goal is to provide researchers, R&D engineers and graduate students with a comprehensive coverage of radio propagation models and space–time signal processing techniques for multi-antenna, multi-user and multi-cell networks.
上傳時間： 2020-05-28
上傳用戶：shancjb
When we started thinking about writing this book, we had been working together for more than five years on the borderline between propagation and signal processing.Therefore, it is not surprising that this book deals with propagation models and design tools for MIMO wirelesscommunications.Yet, thisbookshouldconstitutemorethanasimplecombination of these two domains. It hopefully conveys our integrated understanding of MIMO, which results from endless controversial discussions on various multi-antenna related issues, as well as various interactions with numerous colleagues. Obviously, this area of technology is so large that it was beyond our aim to cover all aspects in details. Rather, our Goal has been to provide researchers, R&D engineers and graduate students with a comprehensive coverage of radio propagation models and space–time coding techniques.
標簽： Communications5 Wireless MIMO
上傳時間： 2020-05-28
上傳用戶：shancjb
