Why do People Program? Each person can have his own reason for programming but I can tell you that programming is one of the best ways to gain a deep Understanding of computers and computer technology. Learning to program makes you understand why computers and computer programs work the way they do. It also puts some sense into you about how hard it is to create software. 1.2. What is C++ & OOP? C++ is an extended version C. C was developed at Bell Labs. in 1978.
標(biāo)簽： programming can Program People
上傳時(shí)間： 2013-12-07
上傳用戶：qazxsw
本書是英文版，但內(nèi)容非常不錯(cuò)，本書目錄如下： Table of Contents SIP—Understanding the Session Initiation Protocol, Second Edition Foreword to the First Edition Preface to - the Second Edition Preface to - the First Edition Chapter 1 - SIP and the Internet Chapter 2 - Introduction to SIP Chapter 3 - SIP Clients and Servers Chapter 4 - SIP Request Messages Chapter 5 - SIP Response Messages Chapter 6 - SIP Header Fields Chapter 7 - Related Protocols Chapter 8 - Comparison to H.323 Chapter 9 - Wireless and 3GPP Chapter 10 - Call Flow Examples Chapter 11 - Future Directions Appendix A - Changes in the SIP Specification from RFC 2543 to RFC 3261
標(biāo)簽： 英文
上傳時(shí)間： 2014-01-06
上傳用戶：爺?shù)臍赓|(zhì)
Altera provides a number of reference designs that show efficient solutions for common design problems. Altera® reference designs can be used to develop new solutions and innovative products, improve your Understanding of Altera product capabilities, as well as help reduce your design time. The use of Altera’s reference designs is governed by, and subject to, the terms and conditions of the Altera Hardware Reference Design License Agreement.
標(biāo)簽： efficient reference solutions provides
上傳時(shí)間： 2014-01-25
上傳用戶：asdfasdfd
Beginning with tips for the person who is programming with SQL for the first time, SQL Tips and Techniques grows with your skills. You can start with Tip 1, "Understanding the Definition of a Database," and by the last Tip, "Displaying Image Data Stored Within a SQL Table," you will have covered all aspects of SQL.
標(biāo)簽： with programming Beginning for
上傳時(shí)間： 2013-12-21
上傳用戶：LIKE
適合學(xué)習(xí)linux底層開發(fā)。提供重要的數(shù)據(jù)結(jié)構(gòu)和算法及編程技巧
標(biāo)簽： Android教材
上傳時(shí)間： 2015-12-11
上傳用戶：1235466456456
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(biāo)簽： Optimization and Uncertainty Quantification
上傳時(shí)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(biāo)簽： R
上傳時(shí)間： 2016-04-08
上傳用戶：mrchen...
The Understanding of electrical system design has become increas- ingly important, not only to the electrical designer, but to safety, plant and project engineers as well. With the advent of high energy costs, plant and project engineers have needed to become more aware of electrical systems. Both safety and energy efficiency will be covered in this text along with practical application problems for industrial and commercial electrical design.
標(biāo)簽： Electrical Efficient Handbook Systems Design
上傳時(shí)間： 2020-05-25
上傳用戶：shancjb
Indian urbanization is a complex puzzle which is extremely difficult to comprehend. Yet, as academicians, it is our responsibility to study, comprehend, analyse, assimi- late, and express on salient happenings in our urban systems. The expressions aim at the larger sections of the society to disseminate technical evaluation in a compre- hensible note. This edition focuses on awaking the society on the contextual reality of urban India and also enabling policymakers with the situational Understanding of Indian cities.
標(biāo)簽： Inequality Poverty Smart From City
上傳時(shí)間： 2020-05-26
上傳用戶：shancjb
This introduction takes a visionary look at ideal cognitive radios (CRs) that inte- grate advanced software-defined radios (SDR) with CR techniques to arrive at radios that learn to help their user using computer vision, high-performance speech Understanding, global positioning system (GPS) navigation, sophisticated adaptive networking, adaptive physical layer radio waveforms, and a wide range of machine learning processes.
標(biāo)簽： Technology Cognitive Radio
上傳時(shí)間： 2020-05-26
上傳用戶：shancjb
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