通过模型理论介绍、建模步骤流程图、结合权威文献模型选择等实现,零计量、Stata基础,照样做好计量实证分析。还赠送Eviews操作高清视频哟! Introduction to Logic Circuits & Logic Design with VHDL By 作者: Brock J. LaMeres ISBN-10 书号: 3319341944 ISBN-13 书号: 9783319341941 Edition 版本: 1st ed. 2017 Release Finelybook 出版日期: 2016-09-16 pages 页数: (475 ) $99.99 This textbook introduces readers to the fundamental hardware used in modern computers. The only pre-requisite is algebra, so it can be taken by college freshman or sophomore students or even used in Advanced Placement courses in high school. This book presents both the classical approach to digital system design (i.e., pen and paper) in addition to the modern hardware description language (HDL) design approach (computer-based). This textbook enables readers to design digital systems using the modern HDL approach while ensuring they have a solid foundation of knowledge of the underlying hardware and theory of their designs. This book is designed to match the way the material is actually taught in the classroom. Topics are presented in a manner which builds foundational knowledge before moving onto advanced topics. The author has designed the content with learning goals and assessment at its core. Each section addresses a specific learning outcome that the learner should be able to “do” after its completion. The concept checks and exercise problems provide a rich set of assessment tools to measure learner performance on each outcome.
2022-07-06 22:11:04 47.87MB design
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This book explains and helps readers to develop geometric intuition as it relates to differential forms. It includes over 250 figures to aid understanding and enable readers to visualize the concepts being discussed. The author gradually builds up to the basic ideas and concepts so that definitions, when made, do not appear out of nowhere, and both the importance and role that theorems play is evident as or before they are presented. With a clear writing style and easy-to- understand motivations for each topic, this book is primarily aimed at second- or third-year undergraduate math and physics students with a basic knowledge of vector calculus and linear algebra.
2022-07-06 20:54:25 5.01MB 数学基础 英文原版电子书
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Introduction to Middleware Web Services, Object Components, and Cloud Computing 英文无水印pdf pdf所有页面使用FoxitReader和PDF-XChangeViewer测试都可以打开 本资源转载自网络,如有侵权,请联系上传者或csdn删除 本资源转载自网络,如有侵权,请联系上传者或csdn删除
2022-07-06 16:05:33 21.05MB Introduction Middleware Web Services
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Homological Algebra has grown in the nearly three decades since the first edition of this book appeared in 1979. Two books discussing more recent results are Weibel, An Introduction to Homological Algebra, 1994, and Gelfand– Manin, Methods of Homological Algebra, 2003. In their Foreword, Gelfand and Manin divide the history of Homological Algebra into three periods: the first period ended in the early 1960s, culminating in applications of Homological Algebra to regular local rings. The second period, greatly influenced by the work of A. Grothendieck and J.-P. Serre, continued through the 1980s; it involves abelian categories and sheaf cohomology. The third period, involving derived categories and triangulated categories, is still ongoing. Both of these newer books discuss all three periods (see also Kashiwara–Schapira, Categories and Sheaves). The original version of this book discussed the first period only; this new edition remains at the same introductory level, but it now introduces the second period as well. This change makes sense pedagogically, for there has been a change in the mathematics population since 1979; today, virtually all mathematics graduate students have learned something about functors and categories, and so I can now take the categorical viewpoint more seriously.
2022-07-04 19:27:24 3.28MB maths algebra number
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Introduction about VxWorks 7 technology
2022-07-04 19:01:01 2.32MB vxworks
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光滑流形的经典教材,热爱数学或者研究机器视觉,计算机视觉的朋友可以参考
2022-06-30 21:53:04 7.39MB 流形
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Linux程序设计教学课件:Ch0 Course Introduction.pdf
2022-06-30 18:01:02 102KB Linux程序设计
TCPIP协议原理教学课件:Chapter 1 Introduction.ppt
2022-06-28 09:06:22 566KB TCPIP
Python是访问、操作和从各种数据中获得见解的理想选择。Python for Data Science通过根植于实际示例和实践活动的边做边学的方法向您介绍Python的数据分析世界。您将学习如何编写Python代码来获取、转换和分析数据,为业务管理、市场营销和决策支持中的用例实践最先进的数据处理技术。 您将发现Python丰富的用于基本操作的内置数据结构集,以及用于数据科学的健壮的开源库生态系统,包括NumPy、pandas、scikit-learn、matplotlib等。这些示例展示了如何以各种格式加载数据,如何简化、分组和聚合数据集,以及如何创建图表、地图和其他可视化功能。后面的章节将深入展示真实世界的数据应用,包括使用位置数据为出租车服务提供动力,市场篮子分析来识别共同购买的商品,以及机器学习来预测股票价格。 这本书从数据处理和分析的概念介绍开始,解释一个典型的数据处理管道。然后,我们将介绍Python的内置数据结构和一些广泛用于数据科学应用程序的第三方Python库。接下来,我们将探讨用于获取、组合、聚合、分组、分析和可视化不同大小和数据类型的数据集的日益复杂的技术。随
2022-06-25 20:05:30 2.35MB python
计算模型与算法技术:1-Introduction.ppt
2022-06-24 09:08:35 1.09MB 计算模型与算法技术