2015 / xii + 412 pages / Hardcover / ISBN 978-1-611973-89-1 / List Price $83.00 / SIAM Member Price $58.10 / Order Code OT142
Keywords: splines, computational methods, data fitting, curve and surface fitting, numerical solution of PDEs
This book describes in detail the key algorithms needed for computing with spline functions and illustrates their use in solving several basic problems in numerical analysis, including function approximation, numerical quadrature, data fitting, and the numerical solution of PDE’s. The focus is on computational methods for bivariate splines on triangulations in the plane and on the sphere, although both univariate and tensor-product splines are also discussed.
This book is designed for mathematicians, engineers, scientists, and anyone else wanting to make use of spline functions for numerical computation.
About the Author
Larry L. Schumaker was a professor of Mathematics at both the University of Texas in Austin and Texas A & M University and since 1988 has been the Stevenson Professor of Mathematics at Vanderbilt University. In 1978 he was a Humboldt fellow at the Free University of Berlin and in 1989 spent a year at Ludwig Maximilian University in Munich as a Humboldt prize winner. He is a SIAM Fellow and a member of the Norwegian Academy of Sciences. In addition to editing 40 conference proceedings and translating a number of books from German, he is the author of Spline Functions: Basic Theory, and a coauthor of Spline Functions on Triangulations. His research continues to focus on spline functions and their applications.
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