Last edited by Mikakazahn

Sunday, July 26, 2020 | History

5 edition of **Polynomial operator equations in abstract spaces and applications** found in the catalog.

- 184 Want to read
- 13 Currently reading

Published
**1998**
by CRC Press in Boca Raton, Fla
.

Written in English

- Operator equations -- Numerical solutions.,
- Polynomials.,
- Iterative methods (Mathematics)

**Edition Notes**

Includes bibliographical references (p. 553-567) and index.

Statement | Ioannis K. Argyros. |

Classifications | |
---|---|

LC Classifications | QA329 .A74 1998 |

The Physical Object | |

Pagination | viii, 573 p. ; |

Number of Pages | 573 |

ID Numbers | |

Open Library | OL347268M |

ISBN 10 | 0849387027 |

LC Control Number | 98006373 |

The Wolfram Language's handling of polynomial systems is a tour de force of algebraic computation. Building on mathematical results spanning more than a century, the Wolfram Language for the first time implements complete efficient reduction of polynomial equation and inequality systems\[LongDash]making possible industrial-strength generalized algebraic . Structured Multi—Matrix Variate, Matrix Polynomial Equations: Solution Techniques Garimella Rama Murthy, Associate Professor, IIIT—Hyderabad, Gachibowli, HYDERABAD, AP, INDIA ABSTRACT In this research paper, structured bi-matrix .

This monograph contains an exposition of the foundations of the spectral theory of polynomial operator pencils acting in a Hilbert space. Spectral problems for polynomial pencils have attracted a steady interest in the last 35 years, mainly because they arise naturally in such diverse areas of mathematical physics as differential equations and boundary value problems, controllable . nomial equations to arbitrary systems of polynomial equations. Note that even if V(D) has no exact solu-tion (e.g. due to noise, over-determinedness, or when reducing degrees of freedom), we can still nd an ap-proximate regression system close to the inputs. Fig-ure 1 illustrates the analogy between ordinary regres-sion and ideal by: 8.

Abstract. Introduction Let K be a field of characteristic 0 and L: K[x]! K[x] an endomorphism of the K-linear space of univariate polynomials over K. We consider the following computational tasks concerning L: T1. Homogeneous equation Ly = 0: Compute a basis of Ker L in K[x]. T2. As the problem states, for example, the set of all polynomials with coefficients in $\mathbb{R}$ forms a vector space. It is an infinitely-generated subspace of the set of polynomials in two variables. $\endgroup$ – MartianInvader Apr 11 '16 at

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Polynomial Operator Equations in Abstract Spaces and Applications - an outgrowth of fifteen years of the author's research work - presents new and traditional results about polynomial equations as well as analyzes current iterative methods for their numerical solution in various general space settings.

Topics include. Polynomial operator equations in abstract spaces and applications. [Ioannis K Argyros] "This book provides a valuable service to those mathematicians working in the area of polynomial operator equations \u00A0\u00A0\u00A0\n schema:name\/a> \" Polynomial operator equations in abstract spaces and applications\/span>\"@ en\/a> ; \u00A0.

Find many great new & used options and get the best deals for Polynomial Operator Equations in Abstract Spaces and Applications by Ioannis K. Argyros (, Hardcover) at the best online prices at eBay. Free shipping for many products. Publisher Summary.

This chapter discusses nonlinear equations in abstract spaces. Although basic laws generally lead to nonlinear differential and integral equations in many areas, linear approximations are usually employed for mathematical tractability and the use of superposition.

Polynomial Operator Equations in Abstract Spaces and Applications Polynomial operators are a natural generalization of linear operators. This work presents results about Polynomial equations as well as analyzes iterative methods for their numerical.

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