A parametric optimization framework with sparse-grid surrogates minimizes extra material in additive-subtractive manufacturing while generating inner structures for reduced distortion and weight.
Convergence of quasi-optimal sparse-grid approximation of Hilbert-space-valued functions: application to random elliptic PDEs
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Parametric shape optimization for combined additive-subtractive manufacturing
A parametric optimization framework with sparse-grid surrogates minimizes extra material in additive-subtractive manufacturing while generating inner structures for reduced distortion and weight.