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电子书籍 This book is about the management of business processes. This is certainly not a new topic. Since t

This book is about the management of business processes. This is certainly not a new topic. Since the beginning of the Industrial Revolution, it has been written about from every possible point of view—economic, sociological, psychological, accountancy, mechanical engineering and business administr ...
https://www.eeworm.com/dl/cadence/ebook/174847.html
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其他书籍 With a worldwide community of users and more than a million dedicated programmers, Perl has proven t

With a worldwide community of users and more than a million dedicated programmers, Perl has proven to be the most effective language for the latest trends in computing and business. Every programmer must keep up with the latest tools and techniques. This updated version of Advanced Perl Programmin ...
https://www.eeworm.com/dl/542/191284.html
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行业发展研究 I believe that technology has the capacity to fundamentally improve people’s lives, and improve the

I believe that technology has the capacity to fundamentally improve people’s lives, and improve the world in which we live.We are now two years into what my company have called the ‘Digital Decade’.We think that by 2010 a combination of hardware and software innovation with broader social trends ...
https://www.eeworm.com/dl/692/200862.html
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matlab例程 In 1960, R.E. Kalman published his famous paper describing a recursive solution to the discrete-dat

In 1960, R.E. Kalman published his famous paper describing a recursive solution to the discrete-data linear filtering problem. Since that time, due in large part to advances in digital computing, the Kalman filter has been the subject of extensive research and application, particularly in the area o ...
https://www.eeworm.com/dl/665/212301.html
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matlab例程 In 1960, R.E. Kalman published his famous paper describing a recursive solution to the discretedata

In 1960, R.E. Kalman published his famous paper describing a recursive solution to the discretedata linear filtering problem [Kalman60]. Since that time, due in large part to advances in digital computing, the Kalman filter has been the subject of extensive research and application, particularly in ...
https://www.eeworm.com/dl/665/212304.html
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教育系统应用 学生信息管理系统 GNU通用公共许可证 第二版

学生信息管理系统 GNU通用公共许可证 第二版,1991年 版权所有(C)1989,1991 Free Software foundation, Inc. 675 Mass Ave, Cambridge, MA02139, USA 允许每个人复制和发布这一许可证原始文档的副本,但绝对不允许对它进行任何修改。 序言 大多数软件许可证决意剥夺你的共享和修改软件的自由。对比之下,GNU通用 ...
https://www.eeworm.com/dl/621/222914.html
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电子书籍 C++ Network Programming, Volume 2, focuses on ACE frameworks, providing thorough coverage of the con

C++ Network Programming, Volume 2, focuses on ACE frameworks, providing thorough coverage of the concepts, patterns, and usage rules that form their structure. This book is a practical guide to designing object-oriented frameworks and shows developers how to apply frameworks to concurrent networked ...
https://www.eeworm.com/dl/cadence/ebook/227176.html
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编译器/解释器 this a pack include source code for quartus 2. It is an implementation of the LC2. The LC-2 compu

this a pack include source code for quartus 2. It is an implementation of the LC2. The LC-2 computer is described in Introduction to Computing Systems from Bits & Gates to C & Beyond by Yale Patt and Sanjay Patel, McGraw Hill, 2001. The LC2 model can be run as a simulation or downloaded to the UP3 ...
https://www.eeworm.com/dl/628/234802.html
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VC书籍 ACM/ICPC(ACM International Collegiate Programming Contest, 国际大学生程序设计竞赛)是由国际计算机界历史悠久、颇具权威性的组织ACM(Asso

ACM/ICPC(ACM International Collegiate Programming Contest, 国际大学生程序设计竞赛)是由国际计算机界历史悠久、颇具权威性的组织ACM(Association for Computing Machinery,美国计算机协会)主办的,世界上公认的规模最大、水平最高的国际大学生程序设计竞赛,其目的旨在使大学生运用计算机来充分展示自己分析问题和解 ...
https://www.eeworm.com/dl/686/276365.html
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人工智能/神经网络 On-Line MCMC Bayesian Model Selection This demo demonstrates how to use the sequential Monte Carl

On-Line MCMC Bayesian Model Selection This demo demonstrates how to use the sequential Monte Carlo algorithm with reversible jump MCMC steps to perform model selection in neural networks. We treat both the model dimension (number of neurons) and model parameters as unknowns. The derivation and deta ...
https://www.eeworm.com/dl/650/280633.html
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