yserentant (49 risultati)

Condizione: very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.

Broschur. Condizione: gut. 251 S. : graph. Darst. ; 21 cm, Bibliotheksexemplar, Aufkleber, Rücken mit Klebestreifen verstärkt, Dreieckstasche. Sprache: deu.

xix, 432p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Stamped. Lecture Notes in Computational Science And Engineering 102. Sprache: Englisch.

Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

Condizione: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,350grams, ISBN:9783642122477.

Hardcover. Condizione: Very Good. Hardcover, xix + 432pp, NOT ex-library. A minor small indentation to the side outer edge of pages. Else clean and bright throughout with unmarked text, free of inscriptions and stamps. Firm secure binding. Boards show regular shelfwear, a couple of small indentations to the side edge of the front panel. Published without a dust jacket. --- In April 2007, the Deutsche Forschungsgemeinschaft (DFG) approved the Priority Program 1324 Mathematical Methods for Extracting Quantifiable Information from Complex Systems. This volume presents a comprehensive overview of the most important results obtained over the course of the program. Mathematical models of complex systems provide the foundation for further technological developments in science, engineering and computational finance. Motivated by the trend toward steadily increasing computer power, ever more realistic models have been developed in recent years. These models have also become increasingly complex, and their numerical treatment poses serious challenges. Recent developments in mathematics suggest that, in the long run, much more powerful numerical solution strategies could be derived if the interconnections between the different fields of research were systematically exploited at a conceptual level. Accordingly, a deeper understanding of the mathematical foundations as well as the development of new and efficient numerical algorithms were among the main goals of this Priority Program. The treatment of high-dimensional systems is clearly one of the most challenging tasks in applied mathematics today. Since the problem of high-dimensionality appears in many fields of application, the above-mentioned synergy and cross-fertilization effects were expected to make a great impact. To be truly successful, the following issues had to be kept in mind: theoretical research and practical applications had to be developed hand in hand; moreover, it has proven necessary to combine different fields of mathematics, such as numerical analysis and computational stochastics. To keep the whole program sufficiently focused, we concentrated on specific but related fields of application that share common characteristics and as such, they allowed us to use closely related approaches. -- Contents: Solving Stochastic Dynamic Programs by Convex Optimization and Simulation; Efficient Resolution of Anisotropic Structures; Regularity of the Parameter-to-State Map of a Parabolic Partial Differential Equation; Piecewise Tensor Product Wavelet Bases by Extensions and Approximation Rates; Adaptive Wavelet Methods for SPDEs; Constructive Quantization and Multilevel Algorithms for Quadrature of Stochastic Differential Equations; Bayesian Inverse Problems and Kalman Filters; Robustness in Stochastic Filtering and Maximum Likelihood Estimation for SDEs; Adaptive Sparse Grids in Reinforcement Learning; A Review on Adaptive Low-Rank Approximation Techniques in the Hierarchical Tensor Format; A Bond Order Dissection ANOVA Approach for Efficient Electronic Structure Calculations; Tensor Spaces and Hierarchical Tensor Representations; Nonlinear Eigenproblems in Data Analysis; Balanced Graph Cuts and the Ratio DCA-Prox; Adaptive Approximation Algorithms for Sparse Data Representation; Error Bound for Hybrid Models of Two-scaled Stochastic Reaction Systems; Valuation of Structured Financial Products by Adaptive Multi wavelet Methods in High Dimensions; Computational Methods for the Fourier Analysis of Sparse High-Dimensional Functions; Sparsity and Compressed Sensing in Inverse Problems; Low-Rank Dynamics; Computation of Expectations by Markov Chain Monte Carlo Methods; Regularity, Complexity, and Approximability of Electronic Wavefunctions.

114 Seiten mit Abbildungen. Kartoniert. Mit einer handschriftlichen Widdmung der Autorin Metzen auf vorderem Einbanddeckel innen. - Vorderer Einbanddeckel mit winziger, kaum sichtbarer Knickspur. 9783000322761 Sprache: Deutsch Gewicht in Gramm: 690.

Condizione: New. In.

PF. Condizione: New.

Condizione: New. In English.

Condizione: New. In.

Condizione: New.

Condizione: New.

Hardcover. Condizione: Brand New. 2014 edition. 432 pages. 9.00x6.25x1.20 inches. In Stock.

Condizione: New.

Gebunden. Condizione: New.

Condizione: Sehr gut. Dieser Artikel ist momentan um 50% rabattiert. Inhalt: Zahlen und Folgen, Reihen, Funktionen u.v.m. Zustand: Einband mit geringfügigen Gebrauchsspuren, insgesamt SEHR GUTER Zustand! Stichworte: Klaus Niederdrenk, Mathematik Grundlagen 447 Seiten Deutsch 610g 8° (18,5-22,5 cm), Softcover, Leinen-Einband (kaschiert).

Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - The electronic Schrodi nger equation describes the motion of N electrons under Coulomb interaction forces in a eld of clamped nuclei. Solutions of this equation depend on 3N variables, three spatial dimensions for each electron. Approxim- ing the solutions is thus inordinately challenging, and it is conventionally believed that a reduction to simpli ed models, such as those of the Hartree-Fock method or density functional theory, is the only tenable approach. This book seeks to c- vince the reader that this conventional wisdom need not be ironclad: the regularity of the solutions, which increases with the number of electrons, the decay behavior of their mixed derivatives, and the antisymmetry enforced by the Pauli principle contribute properties that allow these functions to be approximated with an order of complexity which comes arbitrarily close to that for a system of one or two electrons. The present notes arose from lectures that I gave in Berlin during the academic year 2008/09 to introduce beginning graduate students of mathematics into this subject. They are kept on an intermediate level that should be accessible to an audience of this kind as well as to physicists and theoretical chemists with a c- responding mathematical training.

Taschenbuch. Condizione: Neu. Neuware -In April 2007, the Deutsche Forschungsgemeinschaft (DFG) approved the Priority Program 1324 ¿Mathematical Methods for Extracting Quantifiable Information from Complex Systems.¿ This volume presents a comprehensive overview of the most important results obtained over the course of the program. Mathematical models of complex systems provide the foundation for further technological developments in science, engineering and computational finance. Motivated by the trend toward steadily increasing computer power, ever more realistic models have been developed in recent years. These models have also become increasingly complex, and their numerical treatment poses serious challenges. Recent developments in mathematics suggest that, in the long run, much more powerful numerical solution strategies could be derived if the interconnections between the different fields of research were systematically exploited at a conceptual level. Accordingly, a deeper understanding of the mathematical foundations as well as the development of new and efficient numerical algorithms were among the main goals of this Priority Program. The treatment of high-dimensional systems is clearly one of the most challenging tasks in applied mathematics today. Since the problem of high-dimensionality appears in many fields of application, the above-mentioned synergy and cross-fertilization effects were expected to make a great impact. To be truly successful, the following issues had to be kept in mind: theoretical research and practical applications had to be developed hand in hand; moreover, it has proven necessary to combine different fields of mathematics, such as numerical analysis and computational stochastics. To keep the whole program sufficiently focused, we concentrated on specific but related fields of application that share common characteristics and as such, they allowed us to use closely related approaches.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 460 pp. Englisch.

Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - In April 2007, the Deutsche Forschungsgemeinschaft (DFG) approved the Priority Program 1324 'Mathematical Methods for Extracting Quantifiable Information from Complex Systems.' This volume presents a comprehensive overview of the most important results obtained over the course of the program. Mathematical models of complex systems provide the foundation for further technological developments in science, engineering and computational finance. Motivated by the trend toward steadily increasing computer power, ever more realistic models have been developed in recent years. These models have also become increasingly complex, and their numerical treatment poses serious challenges. Recent developments in mathematics suggest that, in the long run, much more powerful numerical solution strategies could be derived if the interconnections between the different fields of research were systematically exploited at a conceptual level. Accordingly, a deeper understanding of the mathematical foundations as well as the development of new and efficient numerical algorithms were among the main goals of this Priority Program. The treatment of high-dimensional systems is clearly one of the most challenging tasks in applied mathematics today. Since the problem of high-dimensionality appears in many fields of application, the above-mentioned synergy and cross-fertilization effects were expected to make a great impact. To be truly successful, the following issues had to be kept in mind: theoretical research and practical applications had to be developed hand in hand; moreover, it has proven necessary to combine different fields of mathematics, such as numerical analysis and computational stochastics. To keep the whole program sufficiently focused, we concentrated on specific but related fields of application that share common characteristics and as such, they allowed us to use closely related approaches.

Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - In April 2007, the Deutsche Forschungsgemeinschaft (DFG) approved the Priority Program 1324 'Mathematical Methods for Extracting Quantifiable Information from Complex Systems.' This volume presents a comprehensive overview of the most important results obtained over the course of the program. Mathematical models of complex systems provide the foundation for further technological developments in science, engineering and computational finance. Motivated by the trend toward steadily increasing computer power, ever more realistic models have been developed in recent years. These models have also become increasingly complex, and their numerical treatment poses serious challenges. Recent developments in mathematics suggest that, in the long run, much more powerful numerical solution strategies could be derived if the interconnections between the different fields of research were systematically exploited at a conceptual level. Accordingly, a deeper understanding of the mathematical foundations as well as the development of new and efficient numerical algorithms were among the main goals of this Priority Program. The treatment of high-dimensional systems is clearly one of the most challenging tasks in applied mathematics today. Since the problem of high-dimensionality appears in many fields of application, the above-mentioned synergy and cross-fertilization effects were expected to make a great impact. To be truly successful, the following issues had to be kept in mind: theoretical research and practical applications had to be developed hand in hand; moreover, it has proven necessary to combine different fields of mathematics, such as numerical analysis and computational stochastics. To keep the whole program sufficiently focused, we concentrated on specific but related fields of application that share common characteristics and as such, they allowed us to use closely related approaches.

Taschenbuch. Condizione: Neu. Regularity and Approximability of Electronic Wave Functions | Harry Yserentant | Taschenbuch | viii | Englisch | 2010 | Springer | EAN 9783642122477 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Paperback. Condizione: Brand New. reprint edition. 460 pages. 9.25x6.10x1.08 inches. In Stock.

Taschenbuch. Condizione: Neu. Extraction of Quantifiable Information from Complex Systems | Stephan Dahlke (u. a.) | Taschenbuch | Lecture Notes in Computational Science and Engineering | xix | Englisch | 2016 | Springer | EAN 9783319346014 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Hardcover. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Condizione: As New. Unread book in perfect condition.

Paperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: New. In.