Calculation of ophthalmological lenses

A computer-implemented method for determining a surface model trained to generalize across a plurality of prescriptions for calculating at least one surface of at least one ophthalmic lens, at least from one or both of a set of order parameters for the at least one ophthalmic lens and variables depending on the order parameters, the method comprising:

• providing a training data set including a plurality of order parameter sets which respectively include values of at least a portion of the parameters necessary for ordering at least one ophthalmic lens;
• providing at least one target value of at least one optical or geometric property of the at least one ophthalmic lens for each of the order parameter sets in the training data set;
• providing at least one surface model parameterized by model parameters, with which, for given values of the model parameters, at least one surface of at least one ophthalmic lens can be calculated at least from an order parameter set and/or from variables depending on an order parameter set;
• and
• obtaining the surface model for the calculation of at least one surface of at least one ophthalmic lens, comprises:
• determining optimized values for the model parameters of the at least one surface model using the provided target values, wherein the surface model is trained across the plurality of order parameter sets and is configured to directly calculate lens surface data without requiring iterative per-lens optimization.