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Published June 30, 1982 | public
Journal Article

Further Results on Inversion of Aerosol Size Distribution Data: Higher-Order Sobolev Spaces and Constraints

Abstract

The aerosol size distribution inversion algorithm of Crump and Seinfeld, based on the concept of regularization with generalized cross-validation, is extended to Sobolev spaces of order m. The use of the cross-validation function for choice of an appropriate value of m in a particular application is discussed. An inversion algorithm that constrains the size distribution to be nonnegative is introduced and shown to be of value for sharply peaked distributions.

Additional Information

© 1982 Elsevier. Received 30 June 1982: accepted 15 July 1982.

Additional details

Created:
August 19, 2023
Modified:
October 17, 2023