What are some recommended textbooks for implementing numerical algorithms?

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The discussion centers on the search for quality textbooks on numerical methods that effectively cover topics such as root-finding, numerical integration, and interpolation. The user expresses interest in finding a book that provides detailed theoretical insights into stability and convergence, while also being accessible beyond undergraduate level. They mention considering "Numerical Recipes" but note concerns about copyright issues regarding its algorithms. The user already possesses an undergraduate textbook and several specialized books on finite element methods and numerical linear algebra, indicating a desire for a more comprehensive resource that balances theory and practical implementation. The first edition of Stoer and Bulirsch is referenced as a challenging but informative option, highlighting the need for texts that motivate mathematical concepts before delving into solution methods.
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Maybe I missed the numerical methods books in the textbook forum? But I'd like a few suggestions on good texts that are descriptive in implementing numerical algorithms like root-finding, numerical integration, numerical interpolation, etc. I was about to buy Numerical Recipes

But I noticed in the comments that the algorithms are copyrighted.. so it's straight-up illegal to use that book in practice. There's hundreds of numerical methods books on amazon, can someone suggest one that they found useful? I have my undergrad book, which is TOO undergrad. I also have many books on FEM and numerical linear algebra, so I'm looking for one that covers a more general swath of topics. It must give detailed theory of stability, convergence, etc.
 
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I have the first edition of Stoer and Bulirsch. It's not the easiest book to read because it assumes some mathematical sophistication, but it does motivate the math results before discussing solution approaches and their properties and behaviors.
 
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