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  • BTU Cottbus  (46)
  • SB Guben
  • Hist. Museum Berlin
  • Kreisbibliothek des Landkreises Spree-Neiße
  • 2000-2004  (46)
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  • 11
    Online Resource
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    Elements of Number Theory (2003)
    New York, NY :Springer New York :
    Details
    UID:
    almahu_9947362747102882
    Format: XII, 256 p. , online resource.
    ISBN: 9780387217352
    Series Statement: Undergraduate Texts in Mathematics,
    Content: This book is a concise introduction to number theory and some related algebra, with an emphasis on solving equations in integers. Finding integer solutions led to two fundamental ideas of number theory in ancient times - the Euclidean algorithm and unique prime factorization - and in modern times to two fundamental ideas of algebra - rings and ideals. The development of these ideas, and the transition from ancient to modern, is the main theme of the book. The historical development has been followed where it helps to motivate the introduction of new concepts, but modern proofs have been used where they are simpler, more natural, or more interesting. These include some that have not yet appeared in textbooks, such as a treatment of the Pell equation using Conway's theory of quadratic forms. Also, this is the only elementary number theory book that includes significant applications of ideal theory. It is clearly written, well illustrated, and supplied with carefully designed exercises, making it a pleasure to use as an undergraduate textbook or for independent study. John Stillwell is Professor of Mathematics at the University of San Francisco. He is the author of several highly regarded books published by Springer-Verlag, including Mathematics and Its History (Second Edition 2001), Numbers and Geometry (1997) and Elements of Algebra (1994).
    Note: 1 Natural numbers and integers -- 2 The Euclidean algorithm -- 3 Congruence arithmetic -- 4 The RSA cryptosystem -- 5 The Pell equation -- 6 The Gaussian integers -- 7 Quadratic integers -- 8 The four square theorem -- 9 Quadratic reciprocity -- 10 Rings -- 11 Ideals -- 12 Prime ideals.
    In: Springer eBooks
    Additional Edition: Printed edition: ISBN 9781441930668
    Language: English
    DOI: 10.1007/978-0-387-21735-2
    URL: http://dx.doi.org/10.1007/978-0-387-21735-2
    URL: Volltext
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  • 12
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    Online Resource
    Structured Adaptive Mesh Refinement (SAMR) Grid Methods (2000)
    New York, NY :Springer New York :
    Details
    UID:
    almahu_9947362849602882
    Format: XII, 181 p. , online resource.
    ISBN: 9781461212522
    Series Statement: The IMA Volumes in Mathematics and its Applications, 117
    Content: Structured adaptive mesh refinement (SAMR) methods have matured over the past 20 years and are now the method of choice for certain difficult problems, such as compressible flow. SAMR presents difficult technical challenges, both in terms of the numerical techniques involved and the complexity of the programming effort, especially on parallel computers. In order to gain insight into managing these difficulties, much research effort has been directed at mesh generation, parallel computation, and improvements in accuracy, aimed primarily at refinement interfaces. A major stumbling block in this endeavor is that many of these techniques entail substantial amounts of problem specific detail. Standardization is highly unlikely, except within narrowly defined problem domains. The papers presented in this collection are based on talks given at the Workshop on Structured Adaptive Mesh Refinement Grid Methods, held at the Institute for Mathematics and its Applications, University of Minnesota, on March 12-13 1997. They describe research to improve the general understanding of the application of SAMR to practical problems; identify issues critical to efficient and effective implementation on high performance computers; stimulate the development of a community code repository for software including benchmarks to assist in the evaluation of software and compiler technologies. The ten chapters of this volume have been divided into two parts reflecting two major issues in the topic: (I) programming complexity of SAMR algorithms and (II) applicability and numerical challenges of SAMR methods. Part I presents three programming environments and two libraries that address the concerns of efficient execution and reduced software development times of SAMR applications. Part II describes an overview of applications that can benefit from SAMR methods, ranging from crack propagation and industrial boilers to.
    Note: I: Programming Complexity of SAMR Algorithms -- Systems engineering for high performance computing software: The HDDA/DAGH infrastructure for implementation of parallel structured adaptive mesh -- HAMR: The hierarchical adaptive mesh refinement system -- AMR++: A design for parallel object-oriented adaptive mesh refinement -- RSL: A parallel runtime system library for regional atmospheric models with nesting -- Software abstractions and computational issues in parallel structured adaptive mesh methods for electronic structure calculations -- Structured adaptive mesh refinement using high performance fortran -- II: Applicability and Numerical Challenges of SAMR Methods -- The dynamics of localized coherent structures and the role of adaptive software in multiscale modeling -- Progress, results, and experiences in developing an adaptive solver for steady state turbulent reacting flows in industrial boilers and furnaces -- Making arbitrarily small black holes: Experiences with AMR in numerical relativity -- A hybrid AMR application for cosmology and astrophysics -- List of Participants.
    In: Springer eBooks
    Additional Edition: Printed edition: ISBN 9781461270621
    Language: English
    Keywords: Aufsatzsammlung ; Konferenzschrift
    DOI: 10.1007/978-1-4612-1252-2
    URL: http://dx.doi.org/10.1007/978-1-4612-1252-2
    URL: Volltext
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  • 13
    Online Resource
    Online Resource
    Optimization (2004)
    New York, NY :Springer New York :
    Details
    UID:
    almahu_9947363200402882
    Format: XIII, 255 p. , online resource.
    ISBN: 9781475741827
    Series Statement: Springer Texts in Statistics,
    Content: Finite-dimensional optimization problems occur throughout the mathematical sciences. The majority of these problems cannot be solved analytically. This introduction to optimization attempts to strike a balance between presentation of mathematical theory and development of numerical algorithms. Building on students’ skills in calculus and linear algebra, the text provides a rigorous exposition without undue abstraction and can serve as a bridge to more advanced treatises on nonlinear and convex programming. The emphasis on statistical applications will be especially appealing to graduate students of statistics and biostatistics. The intended audience also includes graduate students in applied mathematics, computational biology, computer science, economics, and physics as well as upper division undergraduate majors in mathematics who want to see rigorous mathematics combined with real applications. Chapter 1 reviews classical methods for the exact solution of optimization problems. Chapters 2 and 3 summarize relevant concepts from mathematical analysis. Chapter 4 presents the Karush-Kuhn-Tucker conditions for optimal points in constrained nonlinear programming. Chapter 5 discusses convexity and its implications in optimization. Chapters 6 and 7 introduce the MM and the EM algorithms widely used in statistics. Chapters 8 and 9 discuss Newton’s method and its offshoots, quasi-Newton algorithms and the method of conjugate gradients. Chapter 10 summarizes convergence results, and Chapter 11 briefly surveys convex programming, duality, and Dykstra’s algorithm. Kenneth Lange is the Rosenfeld Professor of Computational Genetics in the Departments of Biomathematics and Human Genetics at the UCLA School of Medicine. He is also Interim Chair of the Department of Human Genetics. At various times during his career, he has held appointments at the University of New Hampshire, MIT, Harvard, the University of Michigan, and the University of Helsinki. While at the University of Michigan, he was the Pharmacia & Upjohn Foundation Professor of Biostatistics. His research interests include human genetics, population modeling, biomedical imaging, computational statistics, and applied stochastic processes. Springer-Verlag previously published his books Mathematical and Statistical Methods for Genetic Analysis, Second Edition, Numerical Analysis for Statisticians, and Applied Probability.
    Note: 1 Elementary Optimization -- 2 The Seven C’s of Analysis -- 3 Differentiation -- 4 Karush-Kuhn-Tucker Theory -- 5 Convexity -- 6 The MM Algorithm -- 7 The EM Algorithm -- 8 Newton’s Method -- 9 Conjugate Gradient and Quasi-Newton -- 10 Analysis of Convergence -- 11 Convex Programming -- Appendix: The Normal Distribution -- A.1 Univariate Normal Random Variables -- A.2 Multivariate Normal Random Vectors -- References.
    In: Springer eBooks
    Additional Edition: Printed edition: ISBN 9781441919106
    Language: English
    DOI: 10.1007/978-1-4757-4182-7
    URL: http://dx.doi.org/10.1007/978-1-4757-4182-7
    URL: Volltext
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  • 14
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    The Symmetric Group : Representations, Combinatorial Algorithms, and Symmetric Functions (2001)
    New York, NY :Springer New York :
    Details
    UID:
    almahu_9947363070002882
    Format: XVI, 240 p. , online resource.
    Edition: Second Edition.
    ISBN: 9781475768046
    Series Statement: Graduate Texts in Mathematics, 203
    Content: I have been very gratified by the response to the first edition, which has resulted in it being sold out. This put some pressure on me to come out with a second edition and now, finally, here it is. The original text has stayed much the same, the major change being in the treatment of the hook formula which is now based on the beautiful Novelli-Pak-Stoyanovskii bijection (NPS 97]. I have also added a chapter on applications of the material from the first edition. This includes Stanley's theory of differential posets (Stn 88, Stn 90] and Fomin's related concept of growths (Fom 86, Fom 94, Fom 95], which extends some of the combinatorics of Sn-representations. Next come a couple of sections showing how groups acting on posets give rise to interesting representations that can be used to prove unimodality results (Stn 82]. Finally, we discuss Stanley's symmetric function analogue of the chromatic polynomial of a graph (Stn 95, Stn ta]. I would like to thank all the people, too numerous to mention, who pointed out typos in the first edition. My computer has been severely reprimanded for making them. Thanks also go to Christian Krattenthaler, Tom Roby, and Richard Stanley, all of whom read portions of the new material and gave me their comments. Finally, I would like to give my heartfelt thanks to my editor at Springer, Ina Lindemann, who has been very supportive and helpful through various difficult times.
    Note: 1 Group Representations -- 2 Representations of the Symmetric Group -- 3 Combinatorial Algorithms -- 4 Symmetric Functions -- 5 Applications and Generalizations.
    In: Springer eBooks
    Additional Edition: Printed edition: ISBN 9781441928696
    Language: English
    Subjects: Mathematics
    RVK:
    SK 260
    DOI: 10.1007/978-1-4757-6804-6
    URL: http://dx.doi.org/10.1007/978-1-4757-6804-6
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  • 15
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    Online Resource
    Statisticians of the Centuries (2001)
    New York, NY :Springer New York :
    Details
    UID:
    almahu_9947362967202882
    Format: XII, 500 p. , online resource.
    ISBN: 9781461301790
    Content: Statisticians of the Centuries aims to demonstrate the achievements of statistics to a broad audience, and to commemorate the work of celebrated statisticians. This is done through short biographies that put the statistical work in its historical and sociological context, emphasizing contributions to science and society in the broadest terms rather than narrow technical achievement. The discipline is treated from its earliest times and only individuals born prior to the 20th Century are included. The volume arose through the initiative of the International Statistical Institute (ISI), the principal representative association for international statistics (founded in 1885). Extensive consultations within the statistical community, and with prominent members of ISI in particular, led to the names of the 104 individuals who are included in the volume. The biographies were contributed by 73 authors from across the world. The editors are the well-known statisticians Chris Heyde and Eugene Seneta. Chris Heyde is Professor of Statistics at both Columbia University in New York and the Australian National University in Canberra. He is also Director of the Center for Applied Probability at Columbia. He has twice served as Vice President of the ISI, and also as President of the ISI's Bernoulli Society. Eugene Seneta is Professor of Mathematical Statistics at the University of Sydney and a Member of the ISI. His historical writings focus on 19th Century France and the Russian Empire. He has taught courses on the history of probability-based statistics in U.S. universities. Both editors are Fellows of the Australian Academy of Science and have, at various times, been awarded the Pitman Medal of the Statistical Society of Australia for their distinguished research contributions.
    Note: 16th Century -- Probability Prior to Pascal -- 17th Century -- Pierre de Fermat -- John Graunt -- Blaise Pascal -- Christi5n Huygens -- Caspar Neumann -- Jakob Bernoulli -- John Arbuthnot -- 18th Century -- Abraham de Moivre -- Pierre Rémond de Montmort -- Nicolaus Bernoulli -- Daniel Bernoulli -- Thomas Bayes -- Johann Peter Süssmilch -- Georges-Louis Leclerc, Comte de Buffon -- Rogerius Josephus Boscovich -- D’alembert -- Marquis de Condorcet -- 19th Century -- Pierre-Simon Marquis de Laplace -- Adrien-Marie Legendre -- William Playfair -- Thomas Robert Malthus -- Sir Frederick Morton Eden -- Carl Friedrich Gauss -- Siméon-Denis Poisson -- Adolphe Quetelet -- Irenée-Jules Bienaymé -- Stefano Franscini -- Gustav Theodor Fechner -- Anton Meyer -- Antoine Augustin Cournot -- Augustus De Morgan -- William Farr -- George Boole -- Florence Nightingale -- Pafnutii Lvovich Chebyshev (or Tchébichef) -- Francis Galton -- Joseph Bertrand -- Johann Gregor Mendel -- John Venn -- Simon Newcomb -- William Stanley Jevons -- Wilhelm Lexis -- Anders Nicolai Kiaer -- Thorvald Nicolai Thiele -- Francis Amasa Walker -- Georg von Mayr -- Pyotr Dimitrievich En’ko -- Francis Ysidro Edgeworth -- Vilfredo Federigo Samaso Pareto -- 20th Century -- Fedor Andreevich Shcherbina -- Andrei Andreevich Markov -- Karl Pearson -- George Handley Knibbs -- Walter Frank Raphael Weldon -- Walter Francis Willcox -- Irving Fisher -- Ladislaus von Bortkiewicz -- Arthur Lyon Bowley -- Louis Bacheller -- Émile Borel -- George Udny Yule -- Károly Jordan -- Marian Smoluchowski -- Aleksander Aleksandrovich Chuprov (Or Tschuprow) -- Ernest Filip Oskar Lundberg -- William Sealy Gosset -- Jarl Waldemar Lindeberg -- Anderson Gray McKendrick -- Agner Krarup Erlang -- Maurice Fréchet -- Harold Edwin Hurst -- Sergei Natanovich Bernstein -- Evgenii Evgenievich Slutsky (or Slutskii) -- George Waddel Snedecor -- Richard von Mises -- John Maynard Keynes -- Corrado Gini -- Wilhelm Winkler -- Egon Sharpe Pearson -- Oskar Anderson -- Georges Darmois -- Stuart Arthur Rice -- Ronald Aylmer Fisher -- Walter Andrew Shewhart -- Harold Jeffreys -- Emil Julius Gumbel -- Carlo Emilio Bonferroni -- Octav Onicescu -- Frank Wilcoxon -- Mikhailo Pylypovych Kravchuk (or Krawtchouk) -- Félix Pollaczek -- Prasanta Chandra Mahalanobis -- Harald Cramär -- Jerzy Neyman -- Ragnar Frisch -- Harold Hotelling -- Robert Charles Geary -- Austin Bradford Hill -- Edwin James George Pitman -- Joseph Oscar Irwin -- Gertrude Mary Cox -- William John Youden -- W. Edwards Deming.
    In: Springer eBooks
    Additional Edition: Printed edition: ISBN 9780387952833
    Language: English
    Keywords: Biografie ; Biografie
    DOI: 10.1007/978-1-4613-0179-0
    URL: http://dx.doi.org/10.1007/978-1-4613-0179-0
    URL: Volltext
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  • 16
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    Real Mathematical Analysis (2002)
    New York, NY :Springer New York :
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    UID:
    almahu_9947362881602882
    Format: XII, 440 p. , online resource.
    ISBN: 9780387216843
    Series Statement: Undergraduate Texts in Mathematics,
    Content: Was plane geometry your favorite math course in high school? Did you like proving theorems? Are you sick of memorizing integrals? If so, real analysis could be your cup of tea. In contrast to calculus and elementary algebra, it involves neither formula manipulation nor applications to other fields of science. None. It is Pure Mathematics, and it is sure to appeal to the budding pure mathematician. In this new introduction to undergraduate real analysis the author takes a different approach from past presentations of the subject, by stressing the importance of pictures in mathematics and hard problems. The exposition is informal and relaxed, with many helpful asides, examples and occasional comments from mathematicians such as Dieudonne, Littlewood and Osserman. This book is based on the honors version of a course which the author has taught many times over the last 35 years at Berkeley. The book contains an excellent selection of more than 500 exercises.
    Note: 1 Real Numbers -- 2 A Taste of Topology -- 3 Functions of a Real Variable -- 4 Function Spaces -- 5 Multivariable Calculus -- 6 Lebesgue Theory.
    In: Springer eBooks
    Additional Edition: Printed edition: ISBN 9781441929419
    Language: English
    Keywords: Einführung
    DOI: 10.1007/978-0-387-21684-3
    URL: http://dx.doi.org/10.1007/978-0-387-21684-3
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  • 17
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    Analysis of Multivariate Survival Data (2000)
    New York, NY :Springer New York :
    Details
    UID:
    almahu_9947362847602882
    Format: XVII, 542 p. , online resource.
    ISBN: 9781461213048
    Series Statement: Statistics for Biology and Health,
    Content: Survival data or more general time-to-event data occur in many areas, including medicine, biology, engineering, economics, and demography, but previously standard methods have requested that all time variables are univariate and independent. This book extends the field by allowing for multivariate times. Applications where such data appear are survival of twins, survival of married couples and families, time to failure of right and left kidney for diabetic patients, life history data with time to outbreak of disease, complications and death, recurrent episodes of diseases and cross-over studies with time responses. As the field is rather new, the concepts and the possible types of data are described in detail and basic aspects of how dependence can appear in such data is discussed. Four different approaches to the analysis of such data are presented. The multi-state models where a life history is described as the subject moving from state to state is the most classical approach. The Markov models make up an important special case, but it is also described how easily more general models are set up and analyzed. Frailty models, which are random effects models for survival data, made a second approach, extending from the most simple shared frailty models, which are considered in detail, to models with more complicated dependence structures over individuals or over time. Marginal modelling has become a popular approach to evaluate the effect of explanatory factors in the presence of dependence, but without having specified a statistical model for the dependence. Finally, the completely non-parametric approach to bivariate censored survival data is described. This book is aimed at investigators who need to analyze multivariate survival data, but due to its focus on the concepts and the modelling aspects, it is also useful for persons interested in such data, but.
    Note: Introduction -- Univariate survival data -- Dependence structures -- Bivariate dependence measures -- Probability aspects of multi-state models -- Statistical inference for multi-state models -- Shared frailty models -- Statistical inference for shared frailty models -- Shared frailty models for recurrent events -- Multivariate frailty models -- Instantaneous and short-term frailty models -- Competing risks models -- Marginal and copula modelling -- Multivariate non-parametric estimates -- Summary -- Mathematical results -- Iterative solutions -- References -- Index.
    In: Springer eBooks
    Additional Edition: Printed edition: ISBN 9781461270874
    Language: English
    DOI: 10.1007/978-1-4612-1304-8
    URL: http://dx.doi.org/10.1007/978-1-4612-1304-8
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  • 18
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    Online Resource
    Ratings, Rating Agencies and the Global Financial System (2002)
    New York, NY :Springer US :
    Details
    UID:
    almahu_9949285335802882
    Format: XI, 379 p. , online resource.
    Edition: 1st ed. 2002.
    ISBN: 9781461509998
    Series Statement: The New York University Salomon Center Series on Financial Markets and Institutions ; 9
    Content: Ratings, Rating Agencies and the Global Financial System brings together the research of economists at New York University and the University of Maryland, along with those from the private sector, government bodies, and other universities. The first section of the volume focuses on the historical origins of the credit rating business and its present day industrial organization structure. The second section presents several empirical studies crafted largely around individual firm-level or bank-level data. These studies examine (a) the relationship between ratings and the default and recovery experience of corporate borrowers, (b) the comparability of credit ratings made by domestic and foreign rating agencies, and (c) the usefulness of financial market indicators for rating banks, among other topics. In the third section, the record of sovereign credit ratings in predicting financial crises and the reaction of financial markets to changes in credit ratings is examined. The final section of the volume emphasizes policy issues now facing regulators and credit rating agencies.
    Note: "Introduction: Ratings, Rating Agencies and the Global Financial System: Summary and Policy Implications" -- I. History, Value and Industrial Structure of Credit Rating and Reporting Agencies -- 1 A Historical Primer on the Business of Credit Rating -- 2 The Credit Rating Industry: An Industrial Organization Analysis -- 3 The Paradox of Credit Ratings -- Discussants -- Discussants -- II. Empirical Evidence on Credit Rating Agencies: Pricing and Regulatory Aspects -- 4 The Role of Credit Ratings in Bank Capital -- 5 A Guide to Choosing Absolute Bank Capital Requirements -- 6 Credit Ratings and the Japanese Corporate Bond Market -- 7 How Good is the Market at Assessing Bank Fragility? A Horse Race between Different Indicators -- 8 Rating Banks in Emerging Markets: What Credit Rating Agencies Should Learn from Financial Indicators -- Discussants -- Discussants -- Discussants -- III. Empirical Evidence on Credit Ratings Agency's Performance: Macroeconomic Aspects -- 9 Rating Agencies and Financial Markets -- 10 Sovereign Credit Ratings Before and After Financial Crises -- 11 Equity Risk Premiums -- IV. Policy Issues Facing Regulators and Credit Rating Agencies -- 12 Rating Agencies: Is There an Agency Issue? -- 13 Do Banks Provision for Bad Loans in Good Times? Empirical Evidence and Policy Implications -- 14 Policy Issues Facing Rating Agencies -- 15 Credit Risk and Financial Instability -- Author Index.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9781402070167
    Additional Edition: Printed edition: ISBN 9781461353447
    Additional Edition: Printed edition: ISBN 9781461510000
    Language: English
    Subjects: Economics
    RVK:
    QK 320
    Keywords: Aufsatzsammlung
    DOI: 10.1007/978-1-4615-0999-8
    URL: https://doi.org/10.1007/978-1-4615-0999-8
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  • 19
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    Supply Chain and Transportation Dictionary (2000)
    New York, NY :Springer US :
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    UID:
    almahu_9949198422602882
    Format: VII, 398 p. , online resource.
    Edition: 4th ed. 2000.
    ISBN: 9781461545910
    Content: Now in its Fourth Edition, the Supply Chain and Transportation Dictionary maintains its position as the most comprehensive dictionary in the field. A one-of-a-kind reference, the dictionary remains unmatched in the breadth and scope of its coverage and is the primary reference for professionals working in the areas of supply chain management, transportation, distribution, logistics, material, and purchasing. The Fourth Edition features over 5,000 entries and is noted for its clear, precise, and accurate definitions.
    Note: A -- B -- C -- D -- E -- F -- G -- H -- I -- J -- K -- L -- M -- N -- O -- P -- Q -- R -- S -- T -- U -- V -- W -- X -- Y -- Z -- Appendix: -- Transportation Rates-All Carrier Modes -- Standard Abbreviations -- 1990 INCO Terms -- Key Word Translations: French, German, Italian, Spanish -- Official 2 Letter Postal Codes-U.S. and Canada -- Official Internet Country Codes -- Standard Time Differences-U.S. Cities -- World Times:〉 -- London -- New York -- Singapore -- Metric Conversion Factors.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9781461370741
    Additional Edition: Printed edition: ISBN 9780792384441
    Additional Edition: Printed edition: ISBN 9781461545927
    Language: English
    Subjects: Economics
    RVK:
    QR 800
    Keywords: Wörterbuch
    DOI: 10.1007/978-1-4615-4591-0
    URL: https://doi.org/10.1007/978-1-4615-4591-0
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  • 20
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    Analysis and Modeling of Manufacturing Systems (2003)
    New York, NY :Springer US :
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    UID:
    almahu_9949198280002882
    Format: XXIII, 429 p. , online resource.
    Edition: 1st ed. 2003.
    ISBN: 9781461510192
    Series Statement: International Series in Operations Research & Management Science, 60
    Content: Analysis and Modeling of Manufacturing Systems is a set of papers on some of the newest research and applications of mathematical and computational techniques to manufacturing systems and supply chains. These papers deal with fundamental questions (how to predict factory performance: how to operate production systems) and explicitly treat the stochastic nature of failures, operation times, demand, and other important events. Analysis and Modeling of Manufacturing Systems will be of interest to readers with a strong background in operations research, including researchers and mathematically sophisticated practitioners.
    Note: 1 Capacitated Two-Echelon Inventory Models for Repairable Item Systems -- 1 Introduction -- 2 Analysis of a simple two-echelon system with central repair -- 3 General capacitated two-echelon repairable item systems -- 4 Optimization -- 5 Summary -- 2 Distribution Resource Planning Systems: A Critique and Enhancement -- 1 Introduction -- 2 How Does DRP Work? -- 3 Improved Projections: Lot-for-Lot Rule -- 4 The (S, s) Inventory System -- 5 Improved Projections: Dynamic (S, s) Rule -- 6 Numerical Examples -- 7 Concluding Remarks -- 8 Appendix: Setting Safety Stock Levels -- 3 Process Adjustment for Assemblies -- 1 Single Tool Adjustment with Uncertainty -- 2 Combined Policy for Adjustment of Two Tools -- 3 Conclusion -- 4 Exact Analysis of a Continuous Material Merge System with Limited Buffer Capacity and Three Stations -- 1 Introduction -- 2 Derivation of Transition Equations -- 3 Numerical Results -- 4 Conclusion -- Appendix: Details of the Derivation and the Algorithm -- 5 Optimal scheduling for piecewise deterministic Multi-Armed Bandit Problem -- 1 Introduction -- 2 Classical Multi-armed Bandit problems. A brief overview. -- 3 Optimal stopping for piecewise deterministic processes. -- 4 Illustration for the manufacturing context -- 5 Conclusion and perspectives -- 6 Production Planning for Short Life-Cycle Products in Consideration of Clearance Sale -- 1 Introduction -- 2 Numerical formulae -- 3 Numerical example -- 4 Conclusions -- 7 Analysis of Automated Flow Line Systems with Repair Crew Interference -- 1 Model of the production and repair system -- 2 Iterative solution procedure -- 3 Integrative solution approach -- 4 Results -- 8 Performance Evaluation of Production Lines with Random Processing Times, Multiple Failure Modes and Finite Buffer Capacity - Part I: The Building Block -- 1 Introduction -- 2 Model Description and Assumptions -- 3 Numerical Results -- 4 Conclusions -- Appendix: Transient States -- Appendix: Roots of the polynomial are real -- Appendix: Solution of Internal Equations Implies CR = 0 -- 9 Performance Evaluation of Production Lines with Random Processing Times, Multiple Failure Modes and Finite Buffer Capacity - Part II: The Decomposition -- 1 Introduction -- 2 Model Description and Assumptions -- 3 Machine Behavior -- 4 Performance Measures -- 5 Outline of the Method -- 6 Decomposition Equations -- 7 Numerical Results -- 8 Conclusions -- 10 Due-time Performance of Production Systems with Markovian Machines -- 1 Motivation -- 2 Problem Formulation -- 3 Production Rate Evaluation -- 4 DTP Calculation -- 5 Structural Properties -- 6 Conclusions -- Appendix: Proofs -- 11 Analysis of Two-Valve Fluid-Flow Systems with General Repair Times -- 1 Introduction -- 2 The Model -- 3 Solution Approach -- 4 Model Verification -- 5 Impact of Repair Time Variability -- 6 Conclusion -- 12 Stochastic Lead Time Models for Supply Chain Networks -- 1 Supply Chain Networks -- 2 Lead Time Models -- 3 Lead Time Models for Performance Analysis -- 4 Generalized Queueing Network Models -- 5 Conclusions -- 13 Modeling and Performance Evaluation of Base-Stock Controlled Assem-bly Systems -- 1 Introduction -- 2 Base-Stock Controlled Assembly Systems -- 3 Modeling -- 4 Analysis -- 5 Performance Evaluation -- 6 Generalization to More than 3 Stages -- 7 Numerical Results -- 8 Generalization to the Assembly of More than Two Products -- 9 Conclusion -- 14 Designing Manufacturing Cells Using a Tabu Search Approach -- 1 Introduction -- 2 Problem Statement -- 3 Definitions - the Basic Element s of the Tabu Search Framework -- 4 The Search Strategy -- 5 Computational Results -- 6 Conclusions -- 15 State-Space Modeling and Analysis of Pull-Controlled Production Systems -- 1 Introduction -- 2 General Structure -- 3 Model Builder -- 4 Model -- 5 An Algorithm to Generate the State Space Models -- 6 Automated Transfer Lines Controlled by Pull Policies -- 7 Performance Evaluation Block -- 8 Numerical Results and Extensions -- 9 Conclusions -- 16 Using Fluid Solutions in Dynamic Scheduling -- 1 Introduction -- 2 The Discrete and Fluid Models -- 3 Greedy Solutions -- 4 Fluid Limits and Asymptotic Switching Curves -- 5 Conclusion -- 6 Acknowledgments.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9781402073038
    Additional Edition: Printed edition: ISBN 9781461353546
    Additional Edition: Printed edition: ISBN 9781461510208
    Language: English
    Subjects: Economics
    RVK:
    QP 540
    Keywords: Konferenzschrift
    DOI: 10.1007/978-1-4615-1019-2
    URL: https://doi.org/10.1007/978-1-4615-1019-2
    URL: Volltext  (URL des Erstveröffentlichers)
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