Developed by Agnar Höskuldsson, The H-Principle, is a new foundation for obtaining solutions to mathematical methods where the data is uncertain. The uncertainty approach each step is an optimal balance, which is determined between the improvement in the mathematical criterion and the associated precision.
The H-principle has been extended to many areas of applied mathematics due to its flexible and adaptable nature. Making it possible for it to be a common framework for numerical computations of methods in applied mathematics, which use linear algebra and where data are uncertain.