Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Ilia Krasikov is active.

Publication


Featured researches published by Ilia Krasikov.


Journal of Combinatorial Theory | 1996

On Integral Zeros of Krawtchouk Polynomials

Ilia Krasikov; Simon Litsyn

We derive new conditions for the nonexistence of integral zeros of binary Krawtchouk polynomials. Upper bounds for the number of integral roots of Krawtchouk polynomials are presented.


IEEE Transactions on Information Theory | 1995

On spectra of BCH codes

Ilia Krasikov; Simon Litsyn

Estimates for accuracy of binomial approximation to the spectra of BCH codes are derived. These estimates are better than known results.


Journal of Applied Analysis | 2006

Uniform bounds for Bessel functions

Ilia Krasikov

Abstract For ν > –1/2 and x real we shall establish explicit bounds for the Bessel function Jν (x) which are uniform in x and ν. This work and the recent result of L. J. Landau [J. Londom Math. Soc. 61: 197–215, 2000] provide relatively sharp inequalities for all real x.


Journal of Combinatorial Theory | 1989

Combinatorial reconstruction problems

Noga Alon; Yair Caro; Ilia Krasikov; Yehuda Roditty

Abstract A general technique for tackling various reconstruction problems is presented and applied to some old and some new instances of such problems.


Journal of Approximation Theory | 2001

Nonnegative Quadratic Forms and Bounds on Orthogonal Polynomials

Ilia Krasikov

We show that some nonnegative quadratic forms containing orthogonal polynomials, such as e.g. the Christoffel-Darboux kernel for x=y in the classical case, provide a lot of information about behavior of the polynomials on the real axis. We illustrate the method for the case of Hermite polynomials and use it to derive new explicit bounds for binary Krawtchouk polynomials.


Journal of Combinatorial Theory | 1997

On a Reconstruction Problem for Sequences

Ilia Krasikov; Yehuda Roditty

It is shown that any word of lengthnis uniquely determined by all itsformula]subwords of lengthk, providedk??167n?+5. This improves the boundk??n/2? given in B. Manvelet al.(Discrete Math.94(1991), 209?219).


Information Processing Letters | 2004

Finding next-to-shortest paths in a graph

Ilia Krasikov; Steven D. Noble

We study the problem of finding the next-to-shortest paths in a graph. A next-to-shortest (u,v)-path is a shortest (u,v)-path amongst (u,v)-paths with length strictly greater than the length of the shortest (u,v)-path. In contrast to the situation in directed graphs, where the problem has been shown to be NP-hard, providing edges of length zero are allowed, we prove the somewhat surprising result that there is a polynomial time algorithm for the undirected version of the problem.


IEEE Transactions on Information Theory | 1997

Estimates for the range of binomiality in codes' spectra

Ilia Krasikov; Simon Litsyn

We derive new estimates for the range of binomiality in a codes spectra, where the distance distribution of a code is upperbounded by the corresponding normalized binomial distribution. The estimates depend on the codes dual distance.


Lms Journal of Computation and Mathematics | 2014

Approximations for the Bessel and Airy functions with an explicit error term

Ilia Krasikov

We show how one can obtain an asymptotic expression for some special functions with a very explicit error term starting from appropriate upper bounds. We will work out the details for the Bessel function Jν(x) and the Airy function Ai(x). In particular, we answer a question raised by Olenko and find a sharp bound on the difference between Jν(x) and its standard asymptotics. We also give a very simple and surprisingly precise approximation for the zeros Ai(x).


Designs, Codes and Cryptography | 1998

Bounds on Spectra of Codes with Known Dual Distance

Ilia Krasikov; Simon Litsyn

We estimate the interval where the distance distribution of a code of length n and of given dual distance is upperbounded by the binomial distribution. The binomial upper bound is shown to be sharp in this range in the sense that for every subinterval of size about √n ln n there exists a spectrum component asymptotically achieving the binomial bound. For self-dual codes we give a better estimate for the interval of binomiality.

Collaboration


Dive into the Ilia Krasikov's collaboration.

Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

C E Tripp

Brunel University London

View shared research outputs
Top Co-Authors

Avatar

G. J. Rodgers

Brunel University London

View shared research outputs
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge