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  • MPI Ethno. Forsch.  (2)
  • KOBV  (1)
  • 2010-2014  (3)
  • Wiesbaden : Springer Fachmedien Wiesbaden  (2)
  • Cambridge : Cambridge University Press  (1)
  • Mathematics  (3)
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Year
  • 1
    Online Resource
    Online Resource
    Wiesbaden : Springer Fachmedien Wiesbaden
    ISBN: 9783658044763
    Language: English
    Pages: Online-Ressource (XIV, 216 p. 30 illus, online resource)
    Series Statement: Advances in Numerical Mathematics
    Series Statement: SpringerLink
    Series Statement: Bücher
    Parallel Title: Druckausg. Potschka, Andreas, 1980 - A direct method for parabolic PDE constrained optimization problems
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    Keywords: Differential equations, partial ; Mathematics ; Biochemical engineering ; Differential equations, partial ; Mathematical optimization ; Biochemical engineering ; Mathematical optimization ; Mathematics ; Partial differential equations. ; Biochemical engineering ; Differential equations, partial ; Mathematical optimization ; Mathematics ; Optimierung ; Nebenbedingung ; Parabolische Differentialgleichung
    Abstract: Parabolic PDE Constrained Optimization Problems -- Two-Grid Newton-Picard Inexact SQP -- Structure Exploiting Solution of QPs -- Applications and Numerical Results
    Abstract: Andreas Potschka discusses a direct multiple shooting method for dynamic optimization problems constrained by nonlinear, possibly time-periodic, parabolic partial differential equations. In contrast to indirect methods, this approach automatically computes adjoint derivatives without requiring the user to formulate adjoint equations, which can be time-consuming and error-prone. The author describes and analyzes in detail a globalized inexact Sequential Quadratic Programming method that exploits the mathematical structures of this approach and problem class for fast numerical performance. The book features applications, including results for a real-world chemical engineering separation problem. Contents · Parabolic PDE Constrained Optimization Problems · Two-Grid Newton-Picard Inexact SQP · Structure Exploiting Solution of QPs · Applications and Numerical Results Target Groups · Researchers and students in the fields of mathematics, information systems, and scientific computing · Users with PDE constrained optimization problems, in particular in (bio-)chemical engineering The Author Dr. Andreas Potschka is a postdoctoral researcher in the Simulation and Optimization group of Prof. Dr. Dres. h. c. Hans Georg Bock at the Interdisciplinary Center for Scientific Computing, Heidelberg University. He is the head of the research group Model-Based Optimizing Control
    Description / Table of Contents: Parabolic PDE Constrained Optimization ProblemsTwo-Grid Newton-Picard Inexact SQP -- Structure Exploiting Solution of QPs -- Applications and Numerical Results.
    Note: Description based upon print version of record
    URL: Volltext  (lizenzpflichtig)
    URL: Cover
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  • 2
    ISBN: 9783658036720
    Language: English
    Pages: Online-Ressource (XXI, 179 p. 23 illus, online resource)
    Series Statement: Perspektiven der Mathematikdidaktik
    Series Statement: SpringerLink
    Series Statement: Bücher
    Parallel Title: Druckausg. Huang, Rongjin Prospective mathematics teachers’ knowledge of algebra
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    Keywords: Mathematics ; Education ; Education ; Mathematics ; USA ; China ; Mathematiklehrer ; Algebra ; Fachwissen
    Abstract: Rongjin Huang examines teachers’ knowledge of algebra for teaching, with a particular focus on teaching the concept of function and quadratic relations in China and the United States. 376 Chinese and 115 U.S.A. prospective middle and high school mathematics teachers participated in this survey. Based on an extensive quantitative and qualitative data analysis the author comes to the following conclusions: The Chinese participants demonstrate a stronger knowledge of algebra for teaching and their structure of knowledge of algebra for teaching is much more interconnected. They show flexibility in choosing appropriate perspectives of the function concept and in selecting multiple representations. Finally, the number of college mathematics and mathematics education courses taken impacts the teachers’ knowledge of algebra for teaching. Contents · Knowledge Needed for Teaching · Mathematics Teacher Education in China and the U.S.A. · Instrumentation, Data Collection, and Data Analysis · Comparison of Knowledge of Algebra for Teaching (KAT) between China and the U.S.A. · Relationship among Different Components of KAT · Comparison of KTCF between China and the U.S.A. Target Groups · Researchers, academics, and scholars of mathematics and didactics · Teachers The Author Dr. Rongjin Huang works as an associate Professor at the Middle Tennessee State University, U.S.A
    Description / Table of Contents: Foreword; Acknowledgments; Table of Contents; Figures; Tables; Nomenclature; 1 Chapter One: Introduction; 1.1 Background; 1.2 Statement of Purpose; 1.3 Research Questions; 1.4 Delimitations; 2 Chapter Two: Literature Review; 2.1 Knowledge Needed for Teaching; 2.2 Mathematics Knowledge for Teaching; 2.3 Teachers' Knowledge of Algebra for Teaching; 2.4 Mathematics Knowledge for Teaching Some Key Concepts in Algebra; 2.4.1 Teaching and Learning of the Concept of Function; 2.4.2 Teaching and Learning of Expressions and Equations Expressions.
    Description / Table of Contents: 2.4.3 Two Perspectives about the Concept of Function: A Case Study of Quadratic Function2.4.4 Flexibility in Learning the Concept of Function: A Case Study of Quadratic Function.; 2.5 Mathematics Teacher Education Systems in China and the U.S.; 2.5.1 Mathematics Teacher Education in China; 2.5.2 Mathematics Teacher Education in the U.S.; 2.6 Comparative Studies on Teachers' Knowledge for Teaching between China and the U.S.; 2.7 Conclusion; 3 Chapter Three: Methodology; 3.1 Instrumentation; 3.1.1 Content Appropriateness; 3.1.2 Translation Equivalence
    Description / Table of Contents: 3.1.3 Appropriateness of the Survey from Teachers' Perspectives3.1.4 Measuring Knowledge for Teaching the Concept of Function; 3.2 Data Collection; 3.2.1 Chinese Data Collection; 3.2.2 U.S. Data Collection; 3.2.3 Interview of the Selected U.S. Participants; 3.3 Data Analysis; 3.3.1 Quantifying the Data; 3.3.2 Inter-Rater Reliability; 3.3.3 Developing Categories of Different Strategies of Solving OpenendedItems; 3.3.4 Quantitative Analysis; 3.3.5 Interview Data Analysis; 3.4 Framework for Data Analysis; 3.5 Conclusion; 4 Chapter Four: Results; 4.1 Comparison of KAT between China and the U.S.
    Description / Table of Contents: 4.1.1 Reliability of the Instrument4.1.2 The Mean Differences of Items and Components between China and the U.S.; 4.1.3 Analysis of Selected Multiple Choice Items; 4.2 Relationship among Components of KAT in China and the U.S.; 4.2.1 Path Model Analysis; 4.3 Comparisons of KTCF between China and the U.S.; 4.3.1 Logical Reasoning in Matrix System; 4.3.2 Flexibility in Adopting Perspectives of Function Concept; 4.3.3 Flexibility in Using and Shifting Different Representations; 4.4 An Analysis of Correlation between Flexibility and Other Variables; 4.5 Summary of the Findings
    Description / Table of Contents: 4.5.1 The Differences and Similarities of KAT in Chinese and U.S. Prospective Teachers4.5.2 The Relationship between Different Components of KAT; 4.5.3 Difference and Similarities of Knowledge for Teaching the Concept of functions; 4.5.4 The Relationship between KAT and Courses Taken; 5 Chapter Five: Conclusion and Discussion; 5.1 Conclusion; 5.1.1 Knowledge of Algebra for Teaching in China and the U.S.; 5.1.2 The Relationship between Different Components of KAT; 5.1.3 The Difference and Similarities of Knowledge for Teaching the Concept of Functions
    Description / Table of Contents: 5.1.4 The Relationship between Prospective Teachers' KAT and Their Course Taking
    Note: Description based upon print version of record
    URL: Volltext  (lizenzpflichtig)
    URL: Cover
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  • 3
    ISBN: 9780521195331
    Language: English
    Pages: xv, 727 Seiten , Illustrationen, Diagramme, Karte , 27 cm
    Parallel Title: Erscheint auch als Easley, David Networks, crowds, and markets
    DDC: 303.48/33
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    Keywords: Telecommunication Social aspects ; Information society ; Informationsgesellschaft ; Mathematisches Modell
    Abstract: "Over the past decade there has been a growing public fascination with the complex connectedness of modern society. This connectedness is found in many incarnations: in the rapid growth of the Internet, in the ease with which global communication takes place, and in the ability of news and information as well as epidemics and financial crises to spread with surprising speed and intensity. These are phenomena that involve networks, incentives, and the aggregate behavior of groups of people; they are based on the links that connect us and the ways in which our decisions can have subtle consequences for others. This introductory undergraduate textbook takes an interdisciplinary look at economics, sociology, computing and information science, and applied mathematics to understand networks and behavior. It describes the emerging field of study that is growing at the interface of these areas, addressing fundamental questions about how the social, economic, and technological worlds are connected"--Provided by publisher
    Description / Table of Contents: Machine generated contents note: 1. Overview; Part I. Graph Theory and Social Networks: 2. Graphs; 3. Strong and weak ties; 4. Networks in their surrounding contexts; 5. Positive and negative relationships; Part II. Game Theory: 6. Games; 7. Evolutionary game theory; 8. Modeling network traffic using game theory; 9. Auctions; Part III. Markets and Strategic Interaction in Networks: 10. Matching markets; 11. Network models of markets with intermediaries; 12. Bargaining and power in networks; Part IV. Information Networks and the World Wide Web: 13. The structure of the Web; 14. Link analysis and Web search; 15. Sponsored search markets; Part V. Network Dynamics: Population Models: 16. Information cascades; 17. Network effects; 18. Power laws and rich-get-richer phenomena; Part VI. Network Dynamics: Structural Models: 19. Cascading behavior in networks.
    Note: Literaturverzeichnis: Seite 693-710 , Hier auch später erschienene, unveränderte Nachdrucke
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