Numerical stability in dynamic elastic-plastic problems
Numeric-analytical construction of Mathieu functions
In this paper we present an iterative algorithm for the construction of Mathieu functions of any order in the form of Fourier series (practically, polynomials), and also the corresponding Quick-BASIC program for realization of this algorithm with numerical values of the parameter.
Numerische Methoden zur Behandlung einiger Problemklassen der nichtlinearen Tschebyscheff-Approximation mit Nebenbedingungen.
Numerische Polynomapproxiamtion mit Knotenpolynomen.
Numerische Quadratur bei Projektionsverfahren.
O logaritmech a logaritmických tabulkách [Book]
O regularisaci optimální formule pro výpočet Fourierových koeficientů
O triangulacích bez tupých úhlů
Obtaining a banded system of equations in complete spline interpolation problem via B-spline basis
We study the problem of interpolation by a complete spline of 2n − 1 degree given in B-spline representation. Explicit formulas for the first nand the last ncoefficients of B-spline decomposition are found. It is shown that other B-spline coefficients can be computed as a solution of a banded system of an equitype linear equations.
Od naměřených dat k jejich matematickému popisu pomocí funkce - a zase zpátky
On a Computational Method for the Second Fundamental Tensor and its Application to Bifurcation Problems.
On a Construction of Digital Convex -gons of Minimum Diameter
On a mixed-type interpolation problem for real polynomials
On a New Type of Quadrature Formulas.
On a Number-Theoretical Integration Method.
On a Number-Theoretical Integration Method. (Short Communications).
On a problem of Turán: (0, 2) quadrature formula with a high algebraic degree of precision.
On a Problem Proposed by H. Braß Concerning the Remainder Term in Quadrature for Convex Functions.
On algorithms for parabolic splines
On an iterative method for unconstrained optimization
We present a local and a semi-local convergence analysis of an iterative method for approximating zeros of derivatives for solving univariate and unconstrained optimization problems. In the local case, the radius of convergence is obtained, whereas in the semi-local case, sufficient convergence criteria are presented. Numerical examples are also provided.