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Product Details 基本信息 ISBN-13 书号 9781420079388 Author 作者 Kevin J. Hastings Format 版本 精装 Pages Number 页数 472页 Publisher 出版社 Chapman and Hall/CRC Publication Date 出版日期 2009-09-21 Shipping Weight 商品重量 839g Language 语种 英语 Book Contents 内容简介 Updated to conform to Mathematica? 7.0, this second edition shows how to easily create simulations from templates and solve problems using Mathematica. Along with new sections on order statistics, transformations of multivariate normal random variables, and Brownian motion, this edition offers an expanded section on Markov chains, more example data of the normal distribution, and more attention on conditional expectation. It also includes additional problems from Actuarial Exam P as well as new examples, exercises, and data sets. The accompanying CD-ROM contains updated Mathematica notebooks and a revised solutions manual is avail
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Product Details 基本信息 ISBN-13 书号 9783031130694 Author 作者 Seiichi Nomura Format 版本 平装-胶订 Pages Number 页数 172页 Publisher 出版社 Springer Berlin Heidelberg Publication Date 出版日期 2023-10-01 Product Dimensions 商品尺寸 9.61 x 6.69 x 0.39 Shipping Weight 商品重量 314 Language 语种 其它(含多语) Book Contents 内容简介 Complex variable theory is attractive for engineers as it offers elegant approaches for certain types of differential equations in engineering including heat transfer, solid mechanics, and fluid mechanics. However, a gap exists between books written by mathematicians and books written by engineers in their specific fields. Naturally, mathematicians tend to emphasize rigorousness and consistency while less emphasizing applications. On the other hand, books written by engineers often jump directly to the specific topics assuming that the readers already
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Product Details 基本信息 ISBN-13 书号 9781169986350 Author 作者 Newton Format 版本 平装-胶订 Pages Number 页数 212页 Publisher 出版社 Literary Licensing, LLC Publication Date 出版日期 1800-01-01 Product Dimensions 商品尺寸 9.02 x 5.98 x 0.45 Shipping Weight 商品重量 0.64 Language 语种 其它(含多语)
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Product Details 基本信息 ISBN-13 书号 9783527406173 Author 作者 Dror Sarid Format 版本 精装 Pages Number 页数 310页 Publisher 出版社 Wiley-VCH Publication Date 出版日期 2007-01-02 Shipping Weight 商品重量 720g Language 语种 英语 Book Contents 内容简介 This new and completely updated edition features not only an accompanying CD-ROM, but also a new applications section, reflecting the many breakthroughs in the field over the last few years. It provides a complete set of computational models that describe
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Product Details 基本信息 ISBN-13 书号 9780821827932 Author 作者 Gaston M. N’Guérékata Format 版本 平装-胶订 Pages Number 页数 135页 Publisher 出版社 American Mathematical Society (AMS) Publication Date 出版日期 2001-09-20 Language 语种 英语 Book Contents 内容简介 This volume contains selected papers from the Sixth Conference for African American Researchers in the Mathematical Sciences (CAARMS), held at Morgan State University in Baltimore (MD). The CAARMS organizes this annual conference showcasing the current research primarily, but not exclusively, of African Americans in the mathematical sciences. Since the first conference in 1995, significant numbers of researchers have presented their current work in technical talks, and graduate students have presented their work in organized poster sessions. Research topics include mathematics (number theory, analysis, topology, differential equat
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Product Details 基本信息 ISBN-13 书号 9781849968119 Author 作者 William Wyatt Sampson Format 版本 平装-胶订 Pages Number 页数 277页 Publisher 出版社 Springer London Publication Date 出版日期 2010-10-22 Shipping Weight 商品重量 450g Language 语种 英语 Book Contents 内容简介 Developments in the use of electrospun fibrous materials, for application in tissue engineering and in carbon fibrous materials in fuel cells, has generated new interest in the dependence of the properties and structure of these materials on those of their constituent fibres. “Modelling Stochastic Fibrous Materials with Mathematica” provides an overview of the structure of stochastic fibrous materials, and the use of Mathematica? to develop models describing their structure and performance. The book introduces the techniques of statistical geometry and probabilistic modelling for non-mathematicians, and assumes no previo
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