Tikhonov regularization is a mathematical technique used to stabilize the solution of ill-posed problems by introducing additional information or constraints, typically in the form of a regularization term. This approach helps to minimize the impact of noise and other uncertainties in data, making it particularly useful in inverse problems and optimization scenarios, such as those encountered in terahertz imaging and spectroscopy.
congrats on reading the definition of Tikhonov regularization. now let's actually learn it.