Spline theory.

Spline models for observational data by: (Language materials, printed)

Knot insertion and deletion algorithms for B-spline curves and surfaces by: (Language materials, printed)

Spline functions on triangulations / by: (Language materials, printed)

Control theoretic splines : = optimal control, statistics, and path planning / by: (Language materials, printed)

Smoothing spline ANOVA models / by: (Language materials, printed)

Spline functions : = computational methods / by: (Language materials, printed)

Spline and spline wavelet methods with applications to signal and image processing.. Volume II,. Non-periodic splines by: (Electronic resources)

Signal processing applications using multidimensional polynomial splines by: (Electronic resources)

Fitting splines to a parametric function by: (Electronic resources)

Optimal surface fitting of point clouds using local refinement = application to GIS Data / by: (Electronic resources)

Modeling time-varying unconditional variance by means of a free-knot spline-GARCH model by: (Electronic resources)

Geometric modeling with splines : = an introduction / by: (Language materials, printed)

Bezier and Splines in Image Processing and Machine Vision by: (Language materials, printed)

Finite element methods with B-splines by: (Language materials, printed)

Multidimensional minimizing splines = theory and applications / by: (Language materials, printed)

Trivariate local Lagrange interpolation and macro elements of arbitrary smoothness by: (Electronic resources)

Spline Functions : = Basic Theory. by: (Electronic resources)

Complex harmonic splines, periodic quasi-wavelets : = theory and applications / by: (Language materials, printed)

Spline and spline wavelet methods with applications to signal and image processing.. Volume I,. Periodic splines by: (Electronic resources)

Spline collocation methods for partial differential equations : = with applications in R / by: (Language materials, printed)

Spline collocation methods for partial differential equations = with applications in R / by: (Electronic resources)

Spline and spline wavelet methods with applications to signal and image processing.. Volume III,. Selected topics by: (Electronic resources)

Mathematical and computational methods for modelling, approximation and simulation by: (Electronic resources)