Computational Mathematics: An Introduction to Numerical Analysis and Scientific Computing with Python
暫譯: 計算數學：使用 Python 進行數值分析與科學計算的入門指南

這本教科書是對計算數學和科學計算的全面介紹，適合本科生和研究生課程。它展示了該主題的實用和理論方面，以及經典數值方法的優勢和陷阱，並附有 Python 的程式碼和實驗。每一章結尾都包含了在物理、工程和計算機科學中的現代應用。

- 不需要具備 Python 的先前經驗
- 簡化的程式碼以便於快速學習和可轉移技能的發展
- 包含適合專案作業和遠距學習的實際問題
- 展示現代科學計算的直觀和嚴謹兩個面向
- 提供神經網絡和機器學習的介紹

Dimitrios Mitsotakis received a PhD in Mathematics in 2007 from the University of Athens. His experience with high-performance computing started while at the Edinburgh Parallel Computing Center at the University of Edinburgh. Dimitrios worked at the University Paris-Sud as a Marie Curie fellow, at the University of Minnesota as an associate postdoc and at the University of California, Merced as a Visiting Assistant Professor. Dimitrios is currently an associate professor/reader at the School of Mathematics and Statistics of Victoria University of Wellington. He has published his work in journals of numerical analysis and in more general audience journals in physics, coastal engineering, waves sciences, and in scientific computing. He develops numerical methods for the solution of equations for water waves, and he studies real-world applications such as the generation of tsunamis. Some of his main contributions are in the theory and numerical analysis of Boussinesq systems for nonlinear and dispersive water waves.

Dimitrios Mitsotakis 於 2007 年在雅典大學獲得數學博士學位。他在愛丁堡大學的愛丁堡平行計算中心開始了高效能計算的經驗。Dimitrios 曾在巴黎南大學擔任 Marie Curie 研究員，在明尼蘇達大學擔任副博士後研究員，並在加州大學默塞德分校擔任訪問助理教授。Dimitrios 目前是威靈頓維多利亞大學數學與統計學院的副教授/講師。他的研究成果發表在數值分析期刊以及物理學、沿海工程、波浪科學和科學計算等更廣泛的讀者期刊中。他開發用於水波方程解的數值方法，並研究如海嘯生成等現實世界的應用。他的一些主要貢獻在於非線性和色散水波的 Boussinesq 系統的理論與數值分析。