Intrduction

I have encountered numerous books in various dsciplines. Some of them have been read through, while some of them have not. I want to set up this file to keep track on my reading behaviour.

List

Methodology

Mathematics

Analysis

• C.Gasquet, P.Witomski, Translated by R.Ryan, Fourier Analysis and Applications: Filtering, Numerical Computation, Wavelets, Springer, 1999.

  Algebra

• Sheldon Axler, Linear Algebra Done Right, Springer, 2024.

  Physics

  Thermal Physics

• Daniel V.Schroeder, An Introduction to Thermal Physics, Oxford University Press, 2021.

  Mechanics

  Electromagnetics

• 陈秉乾, 舒幼生, 胡望雨. 电磁学专题研究. 北京大学出版社, 2021.

  Chemistry

  Organic Chemistry

• Jonathan Clayden, Nick Greeves, Stuart Warren, Organic Chemistry, Oxford University Press, 2012.

  Computational Chemistry

• Errol G. Lewars, Computational Chemistry: Introduction to the Theory and Applications of Molecular an Quantum Mechanics, Springer, 2011.

  Biology

  Melocular Bioigy

• Bruce Alberts, Rebecca Heald, Alexander Johnson, David Morgan, Martin Raff, Keith Roberts, Peter Walter, Molecular Biology of the Cell, W. W. Norton & Company, 2022.

  Biochemistry

• David L. Nelson, Michael M. Cox, Lehninger Principles of Biochemistry, W. H. Freeman and Company, 2013.

  Physical Biology

• Rob Phillips, Jane Kondev, Julie Theriot, Hernan G. Garcia, Physical Biology of the Cell, Garland Science, 2013.

  Electrical Engineering

• B. P. Lathi, Signal Processing and Linear Systems, Oxford University Press, New York, Oxford, 2010.

  Computer Science

  Artificial Intelligence

• Jon Krohn, Grant Beyleveld, Aglae Bassens, Deep Learning Illustrated: a Visual, Interactive Guide to Artificial Intelligence, Addison-Wesley, 2020.

  Highly Interdisciplinary Fields