Ridge and LASSO regression are meant to improve classical linear regression for large number of predictors by adding a penalty term. But are they per definition a linear model such as polynomial regression and of course classical linear regression?

I would expect that they are indeed linear models but I am not sure how for example the absolute value in the penalty could cause problems for that definition.