<p>This compact book focuses on self-adjoint operatorsβ well-known named inequalities and Korovkin approximation theory, both in a Hilbert space environment. It is the first book to study these aspects, and all chapters are self-contained and can be read independently. Further, each chapter includes
Intelligent Comparisons II: Operator Inequalities and Approximations
β Scribed by George A. Anastassiou
- Publisher
- Springer
- Year
- 2017
- Tongue
- English
- Leaves
- 231
- Series
- Studies in computational intelligence 699
- Edition
- 1st ed. 2017
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
β¦ Table of Contents
Content: Preface --
Self Adjoint Operator Korovkin type Quantitative Approximation Theory --
Self Adjoint Operator Korovkin and polynomial direct Approximations with rates --
Quantitative Self Adjoint Operator other Direct Approximations --
Fractional Self Adjoint Operator Poincare and Sobolev Inequalities --
Self Adjoint Operator Ostrowski Inequalities --
Integer and Fractional Self Adjoint Operator Opial Inequalities --
Self Adjoint Operator Chebyshev-Gruss Inequalities --
Ultra General Fractional Self Adjoint Operator Representation formulae and Operator Poincare and Sobolev and other basic Inequalities --
Harmonic Self Adjoint Operator Chebyshev-Gruss type Inequalities --
Ultra general Self Adjoint Operator Chebyshev-Gruss type Inequalities --
About a fractional Means inequality.
β¦ Subjects
Inequalities (Mathematics);Approximation theory.
π SIMILAR VOLUMES
<p><p>This monograph is the continuation and completion of the monograph, βIntelligent Systems: Approximation by Artificial Neural Networksβ written by the same author and published 2011 by Springer.</p><p>The book you hold in hand presents the complete recent and original work of the author in appr
This monograph presents recent and original work of the author on inequalities in real, functional and fractional analysis. The chapters are self-contained and can be read independently, they include an extensive list of references per chapter.<p>The bookβs results are expected to find applications
<p>This monograph presents recent and original work of the author on inequalities in real, functional and fractional analysis. The chapters are self-contained and can be read independently, they include an extensive list of references per chapter.<p>The bookβs results are expected to find applicatio
<span>This book focuses on computational and fractional analysis, two areas that are very important in their own right, and which are used in a broad variety of real-world applications. We start with the important Iyengar type inequalities and we continue with Choquet integral analytical inequalitie
<p>This brief book presents the strong fractional analysis of Banach space valued functions of a real domain. The bookβs results are abstract in nature: analytic inequalities, Korovkin approximation of functions and neural network approximation. The chapters are self-contained and can be read indepe