数学建模的本质
The Nature of Mathematical Modeling
Neil Gershenfeld · 初版 1999 年
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本书探讨了数学建模的本质以及适用于建模的各种技术，重点聚焦于计算机上简洁高效的实现方式。
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The Nature of Mathematical Modeling
Neil Gershenfeld · 初版 1999 年
本书探讨了数学建模的本质以及适用于建模的各种技术，重点聚焦于计算机上简洁高效的实现方式。
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你说的可是一个相当庞大的领域。话虽如此，Neil Gershenfeld 的《The Nature of Mathematical Modeling》可能正是你想要的。每一章都是对应用数学中某个常用工具的简短介绍（15-25页）。在那个篇幅里，你能大致了解什么时候可能会……
You're talking about a pretty massive field. That being said The Nature of Mathematical Modeling by Neil Gershenfeld might be what you're looking for. Each chapter is a short (15-25 page) introduction to one common tool in applied mathematics. In that space you'll get an overview of when you might…
……你能看出来某个问题用这些语言中的一种就能轻松解决（这反过来又会促使你更深入地学习那门语言）。这让我想起了我最喜欢的书之一，Gershenfeld 的《The Nature of Mathematical Modeling》。http://www.amazon.com/Nature-Mathematical-Modeling-Neil-Gers...
…you recognize a problem that would be easily solved by one of these languages (which would then spur deeper learning of the language). Reminds me of one of my favorite books ever, Gershenfeld's "The Nature of Mathematical Modeling". http://www.amazon.com/Nature-Mathematical-Modeling-Neil-Gers...
MIT 有两门顶尖课程都是 Neil Gershenfeld 开的：《几乎能做任何东西》（How to Make (almost) Anything）和《The Nature of Mathematical Modeling》。两门课都跟健康的睡眠习惯绝缘，但都能让人脱胎换骨。我上过 NMM，直到今天，我最大的遗憾之一就是没去上《几乎能做任何东西》。
Neil Gershenfeld is responsible for two of the best courses at MIT: "How to Make (almost) Anything" and "The Nature of Mathematical Modeling". Neither are compatible with healthy sleep habits, but both are transformative. I took NMM and, to this day, one my biggest regrets is never taking "How to Make (almost) Anything."
……通过编程来寻找复杂问题的答案。想要深入学习怎么做到这一点，哪些书和在线资源（iTunes 课程、网站等）最有用？我现在正在看 Neil Gershenfeld 的《The Nature of Mathematical Modeling》和《C语言数值算法》（Numerical Recipes in C）。还有别的建议吗？
…programming to find the answers to complicated questions. What books and online resources (iTunes courses, web sites, etc) are most useful for learning more about how to do this? Right now I'm looking at "the nature of mathematical modeling" by Neil Gershenfeld, and Numerical Recipes in C. Any other advice?