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23 681 (0,118s)

Result

Google Search Engine - Some Computing Experience

We present some results on computing a stationary probability vector of a convex combination of a large and sparse stochastic matrix and a rank one stochastic matrix. We emphasise some experiments on matrices simil...

JC - Počítačový hardware a software

  • 2005
  • D
Result

Ordering of matrices for iterative aggregation - disaggregation methods

We show how the convergence of the iterative aggregation-disaggregation methods for computing the Perron eigenvector of a large sparse irreducible stochastic matrix can be improved by an appropriate ordering of the data and by the c...

BA - Obecná matematika

  • 2009
  • Jx
Result

Convergence issues in the theory and practice of iterative aggregation/disaggregation methods

In the paper we solve convergence conditions for the IAD methods for computation stationary probability distribution vector of a stochastic matrix....

BA - Obecná matematika

  • 2009
  • Jx
Result

Inverse problems for symmetric doubly stochastic matrices whose Suleimanova spectra are bounded below by 1/2

A new sufficient condition for a list of real numbers to be the spectrum of a symmetric doubly stochastic matrix is presented, this is a contribution to the classical spectral inverse problem for symmetric doubly stochastic...

Pure mathematics

  • 2020
  • Jimp
  • Link
Result

Applications of Special Functions to Approximate Stochastic Bi-Homomorphisms and Stochastic Bi-Derivations in FB-Algebras and FC-⋄-Algebras of the Matrix Type

We apply special functions and use the concept of the aggregation function to introduce a new class of fuzzy control functions, and based on this, we obtain the best approximation for the stochastic bi-homomorphisms and stochastic b...

Pure mathematics

  • 2023
  • O
Result

Special matrices and Their Applications in Numerical Mathematics

Revised and corrected second edition of the book first published by the Martinus Nijhoff Publishers, Dordrecht, The Niederlands, 1986.

BA - Obecná matematika

  • 2008
  • B
Result

Mean-field approximation for a limit order driven market model.

A stock market model is solved using matrix stochastic multiplicative process. The return distribution follows a power-law.

BE - Teoretická fyzika

  • 2001
  • Jx
Result

Local convergence analysis of iterative aggregation-disaggregation methods with polynomial correction

We study the iterative aggregation - disaggregation methods for computing stationary probability distribution vector of a stochastic matrix. A correction step is considered to be a polynomial in the matrix. Several converge...

BA - Obecná matematika

  • 2007
  • Jx
Result

Necessary and sufficient local convergence condition of one class of iterative aggregation-disaggregation methods

The paper contributes to the convergence analsis of iterative two-level methods for numerical solution of Perron eigenvector of a stochastic matrix....

BA - Obecná matematika

  • 2008
  • Jx
Result

Optimisation of Breeding Programmes of Beef Cattle - Stochastic Simulation of Population

The population of beef cattle was simulated by the help of stochastic method. Population parameters from breeding value evaluation were used for simulation. Genetic correlation matrix was required for simulation. Because this ma...

GI - Šlechtění a plemenářství hospodářských zvířat

  • 2008
  • D
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