I am quite sure that very few people can "fully grasp" everything in the three books mentioned. The subject matter is inherently difficult. The way i approach t

I am quite sure that very few people can "fully grasp" everything in the three books mentioned. The subject matter is inherently difficult. The way i approach them is as a catalog of reference implementations which i can consult, copy from and modify as needed. The idea is to become aware of knowledge that one didn't know before. Some caveats; consider criticisms of Numerical Recipes book as advisory and not gospel. When reading these sorts of books you are looking to understand the algorithms (w.r.t. a reference implementation) and not bother with programming style/software engineering discipline etc. which are all irrelevant in this case. The specialized domain knowledge is what is important and not software techniques. Here are some links to the above; 1) Numerical Recipes book website - https://www.numerical.recipes/ https://www.numerical.recipes/ 2) Wikipedia - https://en.wikipedia.org/wiki/Numerical_Recipes https://en.wikipedia.org/wiki/Numerical_Recipes 3) Alternatives - https://www.stat.uchicago.edu/~lekheng/courses/302/wnnr/nr-alt.html https://www.stat.uchicago.edu/~lekheng/courses/302/wnnr/nr-a...