Books on the topic 'Spline Function'

1939-, Dubuc Serge, and Deslauriers Gilles 1941-, eds. Spline functions and the theory of wavelets. Providence, R.I: American Mathematical Society, 1999.

Nürnberger, G. Approximation by spline functions. Berlin: Springer-Verlag, 1989.

Bojanov, B. D. Spline functions and multivariate interpolations. Dordrecht: Kluwer Academic Publishers, 1993.

Nürnberger, Günther. Approximation by Spline Functions. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-61342-5.

Schumaker, Larry L. Spline functions: Basic theory. Malabar, Fla: Krieger, 1993.

Spline functions: Basic theory. 3rd ed. New York: Cambridge University Press, 2007.

Spline functions: Computational methods. Philadelphia: Society for Industrial and Applied Mathematics, 2015.

Two dimensional spline interpolation algorithms. Wellesley, Mass: A.K. Peters, 1995.

Bojanov, B. D., H. A. Hakopian, and A. A. Sahakian. Spline Functions and Multivariate Interpolations. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-015-8169-1.

Hilbertian kernels and spline functions. Amsterdam: North-Holland, 1992.

Multivariate spline functions and their applications. Dordrecht: Kluwer Academic Publishers, 2001.

Wang, Ren-Hong. Multivariate Spline Functions and Their Applications. Dordrecht: Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-017-2378-7.

Singh, S. P., ed. Approximation Theory, Spline Functions and Applications. Dordrecht: Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-2634-2.

Wang, Ren-Hong. Multivariate Spline Functions and Their Applications. Dordrecht: Springer Netherlands, 2001.

1937-, Singh S. P., and North Atlantic Treaty Organization. Scientific Affairs Division., eds. Approximation theory, spline functions, and applications. Dordrecht: Kluwer Academic Publishers, 1992.

Walz, Guido. Spline-Funktionen im Komplexen. Mannheim: B.I.-Wissenschaftsverlag, 1991.

Penner, Alvin. Fitting Splines to a Parametric Function. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-12551-6.

One dimensional spline interpolation algorithms. Wellesley, Mass: A K Peters, 1995.

Bartels, Richard H. An introduction to splines for use in computer graphics and geometric modeling. Los Altos, Calif: M. Kaufmann Publishers, 1987.

Kohan, Rashid Rahmati. Adaptive control of variable reluctance motors using spline functions. Ottawa: National Library of Canada, 1994.

Steiniger, Birte, and Peter Barth. Microanatomy and Function of the Spleen. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-57088-9.

Papamichael, Nicholas. An O(h6) cubic spline interpolating procedure for harmonic functions. Uxbridge, Middx: Department of Mathematics and Statistics, Brunel University, 1989.

Schiess, James R. Spline methods for approximating quantile functions and generating random samples. Washington, D.C: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1985.

1948-, Nürnberger G., Schmidt Jochen W, and Walz Guido, eds. Multivariate approximation and splines. Basel: Birkhäuser, 1997.

J, Bowdler Anthony, ed. The Spleen: Structure, function, and clinical significance. London: Chapman and Hall Medical, 1990.

W, Horn P., and United States. National Aeronautics and Space Administration., eds. Hierarchical control and trajectory planning: Annual report, NASA grant #NAG 2-902. [Washington, DC: National Aeronautics and Space Administration, 1994.

J, Bowdler Anthony, ed. The Complete spleen: Structure, function, and clinical disorders. 2nd ed. Totowa, N.J: Humana Press, 2002.

Cisternas, Felipe A. The function of alternatively spliced isoforms of dystrophin. Ottawa: National Library of Canada, 2000.

J, Bowdler Anthony, ed. The complete spleen: Structure, function, and clinical disorders. 2nd ed. Totowa, N.J: Humana Press, 2002.

Ignatov, M. I. Naturalʹnye splaĭny mnogikh peremennykh. Leningrad: "Nauka," Leningradskoe otd-nie, 1991.

deLancey, Moser Robert, and United States. National Aeronautics and Space Administration., eds. Two-dimensional mesh embedding for Galerkin B-spline methods. [Washington, DC]: National Aeronautics and Space Administration, 1995.

deLancey, Moser Robert, and United States. National Aeronautics and Space Administration., eds. Two-dimensional mesh embedding for Galerkin B-spline methods. [Washington, DC]: National Aeronautics and Space Administration, 1995.

deLancey, Moser Robert, and United States. National Aeronautics and Space Administration., eds. Two-dimensional mesh embedding for Galerkin B-spline methods. [Washington, DC]: National Aeronautics and Space Administration, 1995.

Wang, Shemin. The use of spline functions in the analysis of composite laminated plates. Birmingham: University of Birmingham, 1990.

Bezhaev, Anatoly Yu. Variational Theory of Splines. Boston, MA: Springer US, 2001.

Schiess, James R. Two algorithms for rational spline interpolation of surfaces. [Washington, D.C.]: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1986.

Bowin, Carl. Analysis of harmonic spline gravity models for Venus and Mars: Final report, May 15, 1985 through December 31, 1986. Woods Hole, MA: Woods Hole Oceanographic Institution, 1986.

United States. National Aeronautics and Space Administration., ed. Analysis of harmonic spline gravity models for Venus and Mars: Final report, May 15, 1985 through December 31, 1986. Woods Hole, MA: Woods Hole Oceanographic Institution, 1986.

Membership functions for fuzzy poverty measurement: An approach using German panel data. Frankfurt am Main: P. Lang, 1996.

Shlomo, Ta'asan, and Institute for Computer Applications in Science and Engineering., eds. A spline-based parameter estimation technique for static models of elastic structures. Hampton, VA: Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1986.

Dutt, Pravir. A spline-based parameter estimation technique for static models of elastic structures. Hampton, Va: ICASE, 1986.

Shlomo, Taasan, and Institute for Computer Applications in Science and Engineering, eds. A spline-based parameter estimation technique for static models of elastic structures. Hampton, VA: Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1986.

Shlomo, Taasan, and Institute for Computer Applications in Science and Engineering, eds. A spline-based parameter estimation technique for static models of elastic structures. Hampton, VA: Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1986.

Nowożyński, Krzysztof. New methods for parameterization and determination of transfer functions and impulse responses. Warszawa: Institute of Geophysics, Polish Academy of Sciences, 2005.

Dodd, Wayne. Instrumentation and functional analysis of the patient-adjusted static elbow splint. Ottawa: National Library of Canada, 1996.

Chen, Han-lin. Complex Harmonic Splines, Periodic Quasi-Wavelets: Theory and Applications. Dordrecht: Springer Netherlands, 2000.

1943-, Gasca Mariano, and Micchelli Charles A, eds. Total positivity and its applications. Dordrecht: Kluwer Academic Publishers, 1996.

I, Sadrehaghighi, Tiwari S. N, Langley Research Center, and Old Dominion University. Research Foundation., eds. Application of Lagrangian blending functions for grid generation around airplane geometries. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1990.

Pagter, P. J. de. Image data reduction with splines and segmentation with emphasis on earth observation. Amsterdam: National Aerospace Laboratory, 1985.

Lenda, Grzegorz. Rozwinięcie metod tworzenia funkcji sklejanych w aspekcie budowy modeli na podstawie danych dyskretnych: Development of the methods to spline functions in terms of building models based on discrete data. Kraków: Wydawnictwa AGH, 2012.