Orthogonal polynomials in 3D, based on a tensor product construction of 1D orthogonal polynomials. The 1D polynomials are defined in terms of a three-term recurrence relation derived with Gram-Schmidt ...

Chebyshev Polynomials: A sequence of orthogonal polynomials defined on the interval [–1, 1], widely used in numerical approximation and spectral methods due to their optimality in minimising errors.

Multiple Orthogonal Polynomials and Their Applications Publication Trend The graph below shows the total number of publications each year in Multiple Orthogonal Polynomials and Their Applications.

The polynomial model is commonly used in power amplifier (PA) modeling and predistorter design. However, the conventional polynomial model exhibits numerical instabilities when higher order terms are ...

Applied on appropriate cones, standard duality in convex optimization nicely expresses the duality between moments and positive polynomials. In the second part, the methodology is particularized and ...

Arikithrc05 / Sparsity-Conjecture-for-Square-Polynomials Public Notifications You must be signed in to change notification settings Fork 0 Star 0 ...

Mihai Putinar, Positive Polynomials on Compact Semi-algebraic Sets, Indiana University Mathematics Journal, Vol. 42, No. 3 (Fall, 1993), pp. 969-984 ...

Vilmos Totik, Approximation by Bernstein Polynomials, American Journal of Mathematics, Vol. 116, No. 4 (Aug., 1994), pp. 995-1018 ...

Permutations of order N are generated using polynomials in a Galois field GF(q) where q ges N+1, which can be written as a linear transformation on a vector of polynomial coefficients. The Lempel and ...

New soliton solutions to the NLSE with parabolic nonlinearity are being explored, featuring conservation laws and pulse ...

Farrell, E.J. (1979) An Introduction to Matching Polynomials. Journal of Combinatorial Theory, Series B, 27, 75-86.

What if one mathematical nuance has been quietly restraining the efficiency of wind turbines since the turn of last century?