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The Norton Anthol...
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Convex Optimization
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  (page 19 of 727)
"summary of chapter 1: convex optimization is the study of minimizing an objective function subject to some constraint functions, where all functions involved are complex. problems are easy to solve once they have been reduced to convex optimization problems; the tricky part is reducing them." May 18, 2022 05:54PM

 
Clean Code: A Han...
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  (page 53 of 464)
"summary of chapter 3: functions should do one thing, and *only that thing.* they should be short and have a short list of arguments. try to avoid nested loops and if statements. avoid output arguments and error codes in favor of standard OOP features. your code will not look like this on the first try; therefore, write a first draft, then revise." May 18, 2022 03:57PM

 
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