We discuss computing first derivatives for models based on elements, such as large-scale finite-element PDE discretizations, implemented in the C++ ...
Abstract. We discuss computing first derivatives for models based on elements, such as large-scale finite-element PDE discretizations, imple-.
May 30, 2006 · Infeasible to expect application developers to code analytic derivatives. –Time consuming, error prone, and difficult to verify.
Abstract. We discuss computing first derivatives for models based on elements, such as large-scale finite-element PDE discretizations, imple-.
Jan 1, 2006 · We discuss computing first derivatives for models based on elements, such as large-scale finite-element PDE discretizations, implemented in the C++ programming ...
Two alternative approaches to solve PDE constrained optimal control problems by automatic differentiation by exploiting the structure in time yielding a ...
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Phipps, Eric Todd, Gay, David M., and Bartlett, Roscoe. Automatic Differentiation of C++ Codes for Large-Scale Scientific Computing.. United States: N. p., 2006 ...
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In this work, we explore forward mode, operator overloading-based differentiation of C++ codes on these architectures using the widely available Sacado AD ...
XAD is a comprehensive open-source library for automatic differentiation for Python and C++, targeting production code at any scale.