Residue theorem is an important part of complex variable functions, and its theorems have been widely used in real life, such as mathematics, physics and computer fields, but because the residue theorem is the most di...
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This article is based on the principle of the mutual influence of the regional economy and logistics, and then through the construction of a system dynamic model for the development of logistics and local GDP, using t...
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In this paper, the idea of equal arc length method is proposed, and the solver is designed successfully. Through a series of numerical experiments, I found that the equal arc length method can effectively solve the in...
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作者：
Yang, YuhaoJinan University
University of Birmingham Joint Institute Jinan University 601 Huangpu West Avenue Guangzhou510632 China
HIV infections was caused by a sort of chimp in Central Africa. AIDS is the last stage of HIV infection. Though there are many methods to defend the infection of HIV, human still have no way to cure it absolutely. The...
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Sorting out the frontier and hot spots of exercise prescription research abroad has a positive reference role in promoting domestic research in this field. This study collected a total of 3246 related literatures on &...
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Asynchronous FIFO (Frist Input Frist Output) is one of the most effective methods for solving the sub-stability caused by data transmission and storage across clock domains. Asynchronous FIFO has a wide range of appli...
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This book systematically addresses the design and analysis of efficient techniques for independent random sampling. Both general-purpose approaches, which can be used to generate samples from arbitrary probability dis...
ISBN:
(数字)9783319726342
ISBN:
(纸本)9783319726335
This book systematically addresses the design and analysis of efficient techniques for independent random sampling. Both general-purpose approaches, which can be used to generate samples from arbitrary probability distributions, and tailored techniques, designed to efficiently address common real-world practical problems, are introduced and discussed in detail. In turn, the monograph presents fundamental results and methodologies in the field, elaborating and developing them into the latest techniques. The theory and methods are illustrated with a varied collection of examples, which are discussed in detail in the text and supplemented with ready-to-run computer code. The main problem addressed in the book is how to generate independent random samples from an arbitrary probability distribution with the weakest possible constraints or assumptions in a form suitable for practical implementation. The authors review the fundamental results and methods in the field, address the latest methods, and emphasize the links and interplay between ostensibly diverse techniques.
This textbook on computational statistics presents tools and concepts of univariate and multivariate statistical data analysis with a strong focus on applications and implementations in the statistical software R. It ...
ISBN:
(数字)9783319553368
ISBN:
(纸本)9783319553351
This textbook on computational statistics presents tools and concepts of univariate and multivariate statistical data analysis with a strong focus on applications and implementations in the statistical software R. It covers mathematical, statistical as well as programming problems in computational statistics and contains a wide variety of practical examples. In addition to the numerous R sniplets presented in the text, all computer programs (quantlets) and data sets to the book are available on GitHub and referred to in the book. This enables the reader to fully reproduce as well as modify and adjust all examples to their needs. The book is intended for advanced undergraduate and first-year graduate students as well as for data analysts new to the job who would like a tour of the various statistical tools in a data analysis workshop. The experienced reader with a good knowledge of statistics and programming might skip some sections on univariate models and enjoy the various mathematical roots of multivariate techniques. The Quantlet platform ***, ***, *** is an integrated QuantNet environment consisting of different types of statistics-related documents and program codes. Its goal is to promote reproducibility and offer a platform for sharing validated knowledge native to the social web. QuantNet and the corresponding Data-Driven Documents-based visualization allows readers to reproduce the tables, pictures and calculations inside this Springer book.
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