Introduction to Linear Optimization
了解 Dimitris Bertsimas; John N. Tsitsiklis 的《Introduction to Linear Optimization》（Introduction to Linear Optimization）：2007-02-22–2026-11-01 的 Hacker News 数据中有 4 次提及、4 位讨论者。阅读原文摘录、比较不同观点，将它加入你的书单。
分享到 X社区里的声音
最近 4 条来源记录提及不等于推荐。标签来自源数据的自动分类；请打开原始讨论核对上下文。
此记录保留了作者、时间和来源链接，请打开 HN 阅读完整上下文。
在 Hacker News 阅读原文此记录保留了作者、时间和来源链接，请打开 HN 阅读完整上下文。
在 Hacker News 阅读原文此记录保留了作者、时间和来源链接，请打开 HN 阅读完整上下文。
在 Hacker News 阅读原文…rning should be (completely) familiar with essentially all of the material in the following intermediate-level statistics book: 1.) Casella, G. and Berger, R.L. (2001). "Statistical Inference" Duxbury Press. For a slightly more advanced book that's quite clear on mathematical techniques, the following book is quite good: 2.) Ferguson, T. (1996). "A Course in Large Sample Theory" Chapman & Hall/CRC. You'll need to learn something about asymptotics at some point, and a good starting place is: 3.) Lehmann, E. (2004). "Elements of Large-Sample Theory" Springer. Those are all frequentist books. You should also read something Bayesian: 4.) Gelman, A. et al. (2003). "Bayesian Data Analysis" Chapman & Hall/CRC. and you should start to read about Bayesian computation: 5.) Robert, C. and Casella, G. (2005). "Monte Carlo Statistical Methods" Springe…
在 Hacker News 阅读原文