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Optimization of the sandwich-walled hollow cylinder is achieved using a quadratic optimizer, subjected to the constraints that none of the following failure modes occurs: facesheet yielding; facesheet punch shearing (active only for truss-cored sandwiches); core member buckling; core member yielding.
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For example quadratic.py, produces pseudorandom number generators using a quadratic iteration.
The results were analyzed using a quadratic loglog curve fit.
The quadratic trends of each value across sleep duration categories were tested using a quadratic regression analysis.
RO algorithms generate a sequence of sample-path (SP) problems and solve these SP problems iteratively using a nonlinear optimizer.
For all SVM tasks we used the Spider quadratic optimizer, with C parameter set to infinity.
When a SQL query is executed against a physical or virtual dataset in Dremio, a variety of optimizations take place using a cost-based optimizer.
A sample design problem is included using a gradient-based optimizer.
(9) Adjust parameters to fit model solution to data, manually or using an optimizer.
We also use a derivative-based optimizer (Thévenaz's method) to determine the optimal registration parameters.
We use a generic multivariate optimizer to do part of the heavy lifting, but transforming the problem into a suitable form is far from trivial.
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