Readership: Mathematicians and other researchers in the field of approximation theory and/or computer-aided geometric design. Engineers concerned with the processing of experimental data. Potential users of the FITBACK package described and those interested in numerical quality software.
Paul Dierckx, Professor, Computer Science Department, Katholieke Universiteit Leuven, Belgium
"'Scientists and engineers with curve and surface fitting problems and practitioners of computer graphics and CAGD should all find the monograph useful. It is essentially self-contained, giving a brief introduction to the mathematics required as the need arises.' I. Gladwell"
"'A distinguished feature of this book is its lucid presentation. Dierckx's choice of examples is excellent. The discussion is clear and complete enough to serve as an introduction for those beginning a study of spline fitting algorithms. The work is self-contained.' E. Neuman, Zentralblatt für Mathematik, Band 782/94"
"From the cloth edition: the book is invaluable ... The book is clearly laid out ... contains a comprehensive set of references." - Tim Thornton, Computing Reviews, June 1994
Preface List of figures List of tables Part I: Spline Functions 1: Univariate Splines 2: Bivariate Splines Part II: Curve Fitting 3: Curve Fitting: An Introduction 4: Least-Squares Spline Curve Fitting 5: Smoothing Spline Curve Fitting 6: More Smoothing Spline Curves 7: Fitting with Convexity Constraints Part III: Surface Fitting 8: Surface Fitting: An Introduction 9: Scattered Data Surface Fitting 10: Mesh Data Surface Fitting 11: More Scattered Data Smoothing 12: More Mesh Data Smoothing Part IV: FITPACK 13: Available Software References Index
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