《优化算法》封面

优化算法

Algorithms for Optimization

Mykel J. Kochenderfer、Tim A. Wheeler · 初版 2019 年

5人推荐
11位读者提及
13次提及

为什么值得读

  • 广泛覆盖多种优化技术及其具体适用场景
  • 全书配套提供完整的Julia语言实现代码
  • 有助于深入理解机器学习基石优化算法

Hacker News 上怎么说

  • ……有现成的 Python 代码。Steve Brunton 在 YouTube 上的讲座贼棒,和这本书相得益彰:https://www.youtube.com/channel/UCm5mt-A4w61lknZ9lCsZtBw/fea... 另一本特别酷的书是 Mykel Kochenderfer 和 Tim Wheeler 写的《Algorithms for Optimization》:https://mitpress.mit.edu/books/algorithms-optimization。书里用的是 Julia 代码。

    …Python code available. Steve Brunton's lectures on YouTube are pretty damn good and compliment the book well: https://www.youtube.com/channel/UCm5mt-A4w61lknZ9lCsZtBw/fea... Another really cool book is Algorithms for Optimization by Mykel Kochenderfer and Tim Wheeler: https://mitpress.mit.edu/books/algorithms-optimization. Julia code used in book.

  • ……究竟是怎么一回事,我目前初尝甜头的路径(作为一个老牌开发者 / 数据流水线工程师,刚接触主流 Python / ML 实践)是刷一遍 Kochenderfer 2019 年出版的《Algorithms for optimization》(MIT 出版社),包括亲手把练习题代码实现一遍,因为最优化绝大多数 ML 方法的基石。这是我很长一段时间以来玩得最过瘾的事情了。这里可以免费获取:https://algorithmsbook.com/optimization/……

    …what is going on though, the path I am having some early success with (as a long time developer / data pipeline guy, but newly into the standard python / ML practice) is to run through Kochenderfer's "Algorithms for optimization" from 2019 (MIT press), including implementing the exercises, as optimization is the cornerstone of the majority of ML methods. Some of the most fun I've had in a long time. Freely available here: https://algorithmsbook.com/optimization/…

  • ……品相完好。这本书涵盖的内容远不止线性规划。两版的配套答案在网上都能找到。一本很棒的“免费 PDF”最优化教材,可以用来辅助上面这本,就是 Kochenderfer 和 Wheeler 写的《Algorithms for Optimization》(https://algorithmsbook.com/optimization/)。里面有一章专门讲带约束线性优化,配有 Julia 代码,是个很好的补充参考资料。Kochenderfer、Wheeler 和……

    …in good condition. The book covers a lot more than linear programming. A solution manual for both editions can be found on the internet. A good "free-pdf" optimization book, to support the above is, Algorithms for Optimization by Kochenderfer & Wheeler ( https://algorithmsbook.com/optimization/ ). It has a chapter on constrained linear optimization with Julia code and is a good secondary resource. Kochenderfer, Wheeler, and…

  • 第一作者(MK)还写了《Algorithms for Optimization》(MIT 出版社),同样是用 Julia 语言实现的(并且也是本很不错的 Julia 入门指南),而 Julia 本身就是一门非常棒的语言。

    The first author (MK) also wrote "Algorithms for Optimization" (MIT Press), which is also implemented in (and is a nice guide to) the Julia language, which is itself a pretty sweet language.

  • 对于想深入了解的人,我非常推荐《Algorithms for Optimization》这本书:https://algorithmsbook.com/optimization/#outline 它是极佳的入门书,因为覆盖面很广,能让你清楚哪类技术在什么场景下管用(而不是一上来就死磕极其……

    For those who want to learn more, I really like the book "Algorithms for Optimization": https://algorithmsbook.com/optimization/#outline It's a great intro because it covers a large breadth and gives you a sense of what class of techniques are useful for what (rather than just going super…

  • ……系列。[1] 他们把实验课免费公开并放在 GitHub 上确实很赞。即便如此,教材本身不开源免费,这让它的吸引力大打折扣。相比之下,《ALGORITHMS FOR OPTIMIZATION》可以在线免费阅读 [2],书里的代码也是,同作者还有另外两本书也是如此 [3]。感觉各大学院系真该开始资助教师出版完全开放、可免费下载的教材了……

    …series. [1] It's great that they are making the labs free and putting them on GitHub. Even so, the fact that the textbooks are not free and open source make this much less interesting. In contrast, "ALGORITHMS FOR OPTIMIZATION" is available online [2] as well as code from the book, and two more books by the same authors [3]. Seems like university departments should start funding fully open, downloadable books by their faculty…

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