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While self-studying and planning on doing some small-time research/fun based on Philip Wolf's "The Simplex Method for Quadratic Programming", I got interested in the notion of quadratic programming from that paper. Therefore, I am looking for a more mathematically/theoretically defined entry-level book for quadratic optimization - akin to an entry-level book one would find with linear or non-linear programming in which it's well suited for self-studying with exercises and background history of how algorithms or methods came to be. I was browsing around and found the following:

Thus, any insight on this would be beneficial, as this seems like a fun field to learn on a more formal level.

J. W. Tanner
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JJMae
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    This has some nice references in the back so maybe check those out. I'm not sure if there's a text that covers only quadratic programming. https://ecal.studentorg.berkeley.edu/files/ce191/CH02-QuadraticProgramming.pdf – mark leeds Apr 06 '24 at 02:12

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