Mild Differentiability Conditions for Newton`s Method in Banach Spaces, Ezquerro Fernandez Josй Antonio, Hernбndez Verуn Miguel Бngel

Автор: Demetrios Serakos
Название: State Space Consistency and Differentiability
ISBN: 3319144685 ISBN-13(EAN): 9783319144689
Издательство: Springer
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Цена: 6986.00 р.
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Описание: the first has to do with the possibility of determining the input-output system from its natural state set and the second deals with differentiability properties involving the natural state inherited from the input-output system, including differentiability of the natural state and natural state trajectories.

Автор: R. M. Dudley; J. Qian; R. Norvai?a
Название: Differentiability of Six Operators on Nonsmooth Functions and p-Variation
ISBN: 3540659757 ISBN-13(EAN): 9783540659754
Издательство: Springer
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Цена: 5583.00 р.
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Описание: Concerns the differentiability of six operators on functions or pairs of functions, composition (f of g), integration (of f dg), multiplication and convolution of two functions, and the product integral and inverse operators for one function. Knowledge of basic real analysis is essential.

Автор: Merches Ioan Et Al
Название: Differentiability And Fractality In Dynamics Of Physical Systems
ISBN: 9814678384 ISBN-13(EAN): 9789814678384
Издательство: World Scientific Publishing
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Описание: Using Cartan`s differential 1-forms theory, and assuming that the motion variables depend on Euclidean invariants, certain dynamics of the material point and systems of material points are developed.

Автор: Ezquerro Fernandez, Jose Antonio Hernandez Veron, Miguel Angel
Название: Newton`s method: an updated approach of kantorovich`s theory
ISBN: 3319559753 ISBN-13(EAN): 9783319559759
Издательство: Springer
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Цена: 7965.00 р.
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Описание: This book shows the importance of studying semilocal convergence in iterative methods through Newton`s method and addresses the most important aspects of the Kantorovich`s theory including implicated studies.

Автор: Vidyadhar Mandrekar; Barbara R?diger
Название: Stochastic Integration in Banach Spaces
ISBN: 3319128523 ISBN-13(EAN): 9783319128528
Издательство: Springer
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Цена: 11878.00 р.
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Описание: Considering Poisson random measures as the driving sources for stochastic (partial) differential equations allows us to incorporate jumps and to model sudden, unexpected phenomena.

Автор: Botelho, Fabio
Название: Functional analysis and applied optimization in banach spaces
ISBN: 3319382063 ISBN-13(EAN): 9783319382067
Издательство: Springer
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Цена: 15372.00 р.
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Описание: Notably, the primal global minima may not be attained in some situations, in which cases the solution of the dual problem corresponds to an appropriate weak cluster point of minimizing sequences for the primal one.

Автор: Robert R. Phelps
Название: Convex Functions, Monotone Operators and Differentiability
ISBN: 3540567151 ISBN-13(EAN): 9783540567158
Издательство: Springer
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Цена: 3492.00 р.
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Описание: Starting with convex functions on the line, this title leads to interconnected topics in convexity, differentiability and subdifferentiability of convex functions in Banach spaces, generic continuity of monotone operators, geometry of Banach spaces and the Radon-Nikodym property, convex analysis, variational principles and perturbed optimization.

Автор: Wlodzimierz Odyniec; Grzegorz Lewicki
Название: Minimal Projections in Banach Spaces
ISBN: 3540531971 ISBN-13(EAN): 9783540531975
Издательство: Springer
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Цена: 3487.00 р.
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Описание: A monograph devoted to solving the problems of the existence and unicity of minimal projections in Banach space. Presenting both new results and problems for further research, the text is addressed to researchers and graduate students interested in geometrical functional analysis.

Автор: Jorgen Hoffmann-Jorgensen; James Kuelbs; Michael B
Название: Probability in Banach Spaces, 9
ISBN: 0817637443 ISBN-13(EAN): 9780817637446
Издательство: Springer
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Цена: 26552.00 р.
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Описание: These papers include recent advances in classical and modern limit theorems in Banach spaces, as well as techniques developed in this area to apply to empirical processes, spacing estimates, large deviation probabilities, measure inequalities, and more.

Автор: I. Cioranescu
Название: Geometry of Banach Spaces, Duality Mappings and Nonlinear Problems
ISBN: 0792309103 ISBN-13(EAN): 9780792309109
Издательство: Springer
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Цена: 13275.00 р.
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Описание: One service mathematics has rendered the 'Et moi, ...- si Javait so comment en revenir. je n'y serais point alle.' human race. It has put common sense back Jules Verne where it belongs, on the topmost shelf next to the dusty canister labelled 'discarded non- The series is divergent; therefore we may be sense'. Eric T. Bell able to do something with it. o. Heaviside Mathematics is a tool for thought. A highly necessary tool in a world where both feedback and non- linearities abound. Similarly, all kinds of parts of mathematics serve as tools for other parts and for other sciences. Applying a simple rewriting rule to the quote on the right above one finds such statements as: 'One service topology has rendered mathematical physics .. .'; 'One service logic has rendered com- puter science .. .'; 'One service category theory has rendered mathematics .. .'. AIl arguably true. And all statements obtainable this way form part of the raison d'etre of this series.

Автор: Ravi P. Agarwal; Claudio Cuevas; Carlos Lizama
Название: Regularity of Difference Equations on Banach Spaces
ISBN: 331935518X ISBN-13(EAN): 9783319355184
Издательство: Springer
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Цена: 11878.00 р.
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Описание: This work introduces readers to the topic of maximal regularity for difference equations. This book is intended for graduate students and researchers in the area of difference equations, particularly those with advance knowledge of and interest in functional analysis.

Автор: Vidyadhar Mandrekar; Barbara R?diger
Название: Stochastic Integration in Banach Spaces
ISBN: 3319365223 ISBN-13(EAN): 9783319365220
Издательство: Springer
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Цена: 9781.00 р.
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Описание: Considering Poisson random measures as the driving sources for stochastic (partial) differential equations allows us to incorporate jumps and to model sudden, unexpected phenomena.