SIAG/OPT Views-and-News 21(1)
نویسنده
چکیده
Code generation plays an important role in computational science and engineering, and has been used successfully in optimization to compute derivatives from automatic differentiation. The present paper describes a system for code generation that can be used in dynamical parameter estimation problems. The python scripts require text input that describe the model in a few hundred lines of code which are transformed into several hundred thousand of lines of C++ code that can then be used by nonlinear optimizers such as IPOPT to optimally estimate parameters. Python Scripting for Dynamical Parameter Estimation in IPOPT
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This issue of SIAG/OPT Views-and-News is dedicated to the 2011 SIAM Conference on Optimization. Claudia Sagastizábal has written a beautiful and elegant survey of nonsmooth optimization showing how traditional methods can be cleverly improved by exploiting structure beyond the black box. Don’t miss her plenary presentation on Wednesday at 1pm! Other highlights of OP11 include the SIAG/OPT busin...
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تاریخ انتشار 2010