This course offers an introduction to mathematical nonlinear optimization with applications in data science. The theoretical foundation and the fundamental algorithms for nonlinear optimization are ...
Multifidelity optimization can inform decision-making during process development and reduce the number of experiments ...
Rajalakshmi Srinivasaraghavan highlights hybrid AI compiler and runtime optimizations balancing CPUs, GPUs, and accelerators.
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