Best Approximation in Normed Linear Spaces by Elements of Linear Subspaces PDF Download
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Author: Ivan Singer
Publisher: Springer Science & Business Media
ISBN: 3662415836
Category : Mathematics
Languages : en
Pages : 411
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Book Description
Author: Ivan Singer
Publisher: Springer Science & Business Media
ISBN: 3662415836
Category : Mathematics
Languages : en
Pages : 411
Get Book Here
Book Description
Author: Ivan Singer
Publisher: Springer
ISBN:
Category : Mathematics
Languages : en
Pages : 444
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Book Description
Author: Ivan Singer
Publisher: SIAM
ISBN: 0898710103
Category : Mathematics
Languages : en
Pages : 103
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Book Description
Presents results and problems in the modern theory of best approximation, in which the methods of functional analysis are applied in a consequent manner.
Author: A. Pietsch
Publisher: Springer
ISBN: 3540398775
Category : Mathematics
Languages : en
Pages : 316
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Book Description
Author:
Publisher: Srpska akademija nauka i umetnosti
ISBN:
Category :
Languages : en
Pages : 50
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Book Description
TABLE DES MATIERES 1. S. Aljaneie — Generalization of a Theorem due to Cesare, 1 2. M. D. Leko — A Class of Stationary Metrics and the case of Static Metrics of Space-time which gives Conics as 3-paths of Inertial Motions of Mass Points . 5 3. Z. A. Ivkovie — Non-linear Time-domain Analysis of Gaussian Process, General Case 13 4. M. Janc — Optimal and Suboptimal Solutions of a Simultaneous Approximation Problem 17 5. M. Janc — Nonlinear Approximation in Locally Convex Spaces 25 6. D. Stolle i D. Durovie — The 75-day Variation of the Geomagnetic Field and Solar Activity 33
Author: Jack Belzer
Publisher: CRC Press
ISBN: 1000723259
Category : Computers
Languages : en
Pages : 512
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Book Description
"This comprehensive reference work provides immediate, fingertip access to state-of-the-art technology in nearly 700 self-contained articles written by over 900 international authorities. Each article in the Encyclopedia features current developments and trends in computers, software, vendors, and applications...extensive bibliographies of leading figures in the field, such as Samuel Alexander, John von Neumann, and Norbert Wiener...and in-depth analysis of future directions."
Author: Jean-Bapiste Hiriart-Urruty
Publisher: CRC Press
ISBN: 1000110516
Category : Mathematics
Languages : en
Pages : 272
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Book Description
This book is concerned with tangent cones, duality formulas, a generalized concept of conjugation, and the notion of maxi-minimizing sequence for a saddle-point problem, and deals more with algorithms in optimization. It focuses on the multiple exchange algorithm in convex programming.
Author: Petr Hajek
Publisher: Springer Science & Business Media
ISBN: 038768915X
Category : Mathematics
Languages : en
Pages : 352
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Book Description
This book introduces the reader to some of the basic concepts, results and applications of biorthogonal systems in infinite dimensional geometry of Banach spaces, and in topology and nonlinear analysis in Banach spaces. It achieves this in a manner accessible to graduate students and researchers who have a foundation in Banach space theory. The authors have included numerous exercises, as well as open problems that point to possible directions of research.
Author: Michiel Hazewinkel
Publisher: Springer Science & Business Media
ISBN: 9400959915
Category : Mathematics
Languages : en
Pages : 555
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Book Description
This ENCYCLOPAEDIA OF MATHEMATICS aims to be a reference work for all parts of mathe matics. It is a translation with updates and editorial comments of the Soviet Mathematical Encyclopaedia published by 'Soviet Encyclopaedia Publishing House' in five volumes in 1977-1985. The annotated translation consists of ten volumes including a special index volume. There are three kinds of articles in this ENCYCLOPAEDIA. First of all there are survey-type articles dealing with the various main directions in mathematics (where a rather fine subdivi sion has been used). The main requirement for these articles has been that they should give a reasonably complete up-to-date account of the current state of affairs in these areas and that they should be maximally accessible. On the whole, these articles should be understandable to mathematics students in their first specialization years, to graduates from other mathematical areas and, depending on the specific subject, to specialists in other domains of science, en gineers and teachers of mathematics. These articles treat their material at a fairly general level and aim to give an idea of the kind of problems, techniques and concepts involved in the area in question. They also contain background and motivation rather than precise statements of precise theorems with detailed definitions and technical details on how to carry out proofs and constructions. The second kind of article, of medium length, contains more detailed concrete problems, results and techniques.
Author: Riccardo Zoppoli
Publisher: Springer Nature
ISBN: 3030296938
Category : Technology & Engineering
Languages : en
Pages : 532
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Book Description
Neural Approximations for Optimal Control and Decision provides a comprehensive methodology for the approximate solution of functional optimization problems using neural networks and other nonlinear approximators where the use of traditional optimal control tools is prohibited by complicating factors like non-Gaussian noise, strong nonlinearities, large dimension of state and control vectors, etc. Features of the text include: • a general functional optimization framework; • thorough illustration of recent theoretical insights into the approximate solutions of complex functional optimization problems; • comparison of classical and neural-network based methods of approximate solution; • bounds to the errors of approximate solutions; • solution algorithms for optimal control and decision in deterministic or stochastic environments with perfect or imperfect state measurements over a finite or infinite time horizon and with one decision maker or several; • applications of current interest: routing in communications networks, traffic control, water resource management, etc.; and • numerous, numerically detailed examples. The authors’ diverse backgrounds in systems and control theory, approximation theory, machine learning, and operations research lend the book a range of expertise and subject matter appealing to academics and graduate students in any of those disciplines together with computer science and other areas of engineering.
