Empirical Modeling and Data Analysis for Engineers and Applied Scientists English | 25 July 2016 | ISBN: 3319327674 | 264 Pages This textbook teaches advanced undergraduate and first-year graduate students in Engineering and Applied Sciences to gather and analyze empirical observations (data) in order to aid in making design decisions. While science is about discovery, the primary paradigm of engineering and “applied science” is design. Scientists are in the discovery business and want, in general, to understand the natural world rather than to alter it. In contrast, engineers and applied scientists design products, processes, and solutions to problems. That said, statistics, as a discipline, is mostly oriented toward the discovery paradigm. Young engineers come out of their degree programs having taken courses such as “Statistics for Engineers and Scientists” without any clear idea as to how they can use statistical methods to help them design products or processes. Many seem to think that statistics is only useful for demonstrating that a device or process actually does what it was designed to do. Statistics courses emphasize creating predictive or classification models – predicting nature or classifying individuals, and statistics is often used to prove or disprove phenomena as opposed to aiding in the design of a product or process. In industry however, Chemical Engineers use designed experiments to optimize petroleum extraction; Manufacturing Engineers use experimental data to optimize machine operation; Industrial Engineers might use data to determine the optimal number of operators required in a manual assembly process. This text teaches engineering and applied science students to incorporate empirical investigation into such design processes.
2023-02-14 10:23:35 11.79MB Data Analysis
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地球系统建模框架(ESMF) 版权所有(c)2002-2021,麻省理工学院大学大气研究所,密歇根大学地球物理流体动力学实验室,国家环境预测中心,洛斯阿拉莫斯国家实验室,阿贡国家实验室,美国宇航局戈达德太空飞行中心。 版权所有。 您好,欢迎来到ESMF。 《 包含有关构建和安装ESMF的信息。 《 包含有关ESMF的体系结构,示例代码以及API(应用程序编程接口)的详细信息。 如有任何问题,请联系 。 下载ESMF ESMF库源代码也可以从以下位置下载: 建立ESMF 要从源代码构建ESMF,请参阅《 部分。 要测试ESMF,请参阅。 对于ESMF和ESMPy预建的二进制文件也可在conda-forge (注意不支持Windows中): conda create -c conda-forge -n esmf esmpy 链接到ESMF 要将应用程序链接到
2023-01-02 17:35:18 12.69MB Fortran
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modeling electric power system
2022-12-23 11:07:23 1.19MB modeling electric power system
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中文版部分章节,不全 eclipse+modeling+framework
2022-12-17 14:00:27 2.27MB eclipse modeling
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data-vault-modeling-文档.pdf,
2022-12-13 20:19:59 632KB data-vault
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Modeling Software Behavior A Craftsman's Approach 2010
2022-12-11 10:32:00 8.05MB Modeling Software Behavior
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Pyomo是 William Hart and Jean-Paul Watson at Sandia National Laboratories and David Woodruff at University of California, Davis. 开发的,这个手册是由开发者David Woodruff撰写的,详细介绍了如何在Pyomo中求解各类优化问题。希望对大家有帮助。
2022-12-09 12:24:06 1.94MB python optimization
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[PhysX] PhysX 物理建模 学习教程 (英文版)Learning Physics Modeling with PhysX.pdf 能找到的资料不多关于Physx的内容。
2022-12-07 21:48:43 1.44MB PhysX
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CAD/CAM关于曲线和曲面建模的经典著作,英文版,非图片pdf
2022-12-03 23:27:03 27.45MB CAD/CAM
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matlab微分方程代码张力结构建模(MOTES) 欢迎使用MOTES软件! 一般信息 我们的研究团队致力于使用Tensegrity结构集成结构和控制设计。 该小组专注于设计张力结构以达到指定的目标。 这些目标的范围可以从最小化结构的质量到控制结构以满足特定的性能。 该软件旨在研究张力系统的静态和动态。 作者希望将其作为开源软件来帮助对这一领域也感兴趣的其他研究人员。 该软件的贡献主要在以下两个方面:首先,静态分析通过优化弦线中的拉力和无外力(自平衡状态)中的杆中的压缩力,来提供张力结构的最小质量;以及在给定的外力作用下优化问题被写为线性规划,以解决屈服约束下所需的最小质量。 该软件还允许通过非线性优化求解器求解屈曲和屈服失效准则下的最小质量。 其次,动力学分析使用二阶矩阵微分方程来模拟张力结构的任何复杂性的动力学。 该动态模型假设钢筋是刚性的,而弦则显示出弹性行为(Hookean)。 要理解这些代码,需要本科线性代数和一些MATLAB的基础知识。 该软件的开发基于: •64位Windows•MATLAB•MATLAB优化工具箱注意:与2009a以后的MATLAB版本兼容的Win7 /
2022-11-28 10:26:00 130.98MB 系统开源
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