Improved LBFGS and LBFGS-B optimizers in PyTorch.
Type-safe modelling DSL, symbolic transformation, and code generation for solving optimization problems.
Linear regression with the LBFGSB (Limited-memory Broyden-Fletcher-Goldfarb-Shanno BFGS) solver method is a numerical optimization method used to find the minimum of an objective function. It is a gradient descent algorithm that uses an approximation of the Hessian matrix to minimize the function.
Radio interferometric calibration with PyTorch. An example of how to solve a general optimization problem.
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