Aleksandr Efremov's research while affiliated with Princeton University and other places
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Publications (2)
In mathematics and computer algebra, automatic differentiation (AD) is a set of techniques to evaluate the derivative of a function specified by a computer program. AD exploits the fact that every computer program, no matter how complicated, executes a sequence of elementary arithmetic operations (addition, subtraction, multiplication, division, et...
In mathematics and computer algebra, automatic differentiation (AD) is a set of techniques to evaluate the derivative of a function specified by a computer program. AD exploits the fact that every computer program, no matter how complicated, executes a sequence of elementary arithmetic operations (addition, subtraction, multiplication, division, et...
Citations
... HEP projects that exploit AD include work on MadJAX [20], ACTS [21] and ROOT [22]. Gradients are used in objective-function optimizations, or in the propagation of uncertainty in different applications. ...
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