ALBERT

Note: CONTENTS: PREFACE EXECUTIVE SUMMARY 1 THE ANTARCTIC ENVIRONMENT AND THE GLOBAL SYSTEM 1.1 THE PHYSICAL SETTING 1.2 THE ANTARCTIC CRYOSPHERE 1.3 THE ROLE OF THE ANTARCTIC IN THE GLOBAL CLIMATE SYSTEM 1.4 OBSERVATIONS FOR STUDIES OF ENVIRONMENTAL CHANGE IN THE ANTARCTIC 1.5 THE CLIMATE OF THE ANTARCTIC AND ITS VARIABILITY 1.6 BIOTA OF THE ANTARCTIC 1.6.1 Terrestrial 1.6.2 Marine 2 OBSERVATIONS, DATA ACCURACY AND TOOLS 2.1 OBSERVATIONS, DATA ACCURACY AND TOOLS 2.1.1 Introduction 2.1.2 Meteorological and ozone observing in the Antarctic 2.1.3 In-situ ocean observations 2.1.4 Sea ice observations 2.1.5 Observations of the ice sheet and permafrost 2.1.6 Sea level 2.1.7 Marine biology 2.1.8 Terrestrial biology 2.1.9 Models 2.2 FUTURE DEVELOPMENTS AND RESEARCH NEEDS 3 ANTARCTIC CLIMATE AND ENVIRONMENT HISTORY IN THE PREINSTRUMENTAL PERIOD 3.1 INTRODUCTION 3.2 DEEP TIME 3.2.1 The Greenhouse world: from Gondwana breakup to 34 million years 3.2.2 Into the Icehouse world: the last 34 million years 3.3 THE LAST MILLION YEARS 3.3.1 Glacial interglacial cycles: the ice core record 3.3.2 The transition to Holocene interglacial conditions: the ice core record 3.3.3 Deglaciation of the continental shelf, coastal margin and continental interior 3.3.4 Antarctic deglaciation and its impact on global sea level 3.3.5 Sea ice and climate 3.4 THE HOLOCENE 3.4.1 Holocene climate change: regional to hemispheric perspectives 3.4.2 Changes in sea ice extent through the Holocene 3.4.3 Regional patterns of Holocene climate change in Antarctica 3.5 BIOLOGICAL RESPONSES TO CLIMATE CHANGE 3.5.1 The terrestrial environment 3.5.2 The marine environment 3.4.3 Regional patterns of Holocene climate change in Antarctica 3.6 CONCLUDING REMARKS 4 THE INSTRUMENTAL PERIOD 4.1 INTRODUCTION 4.2 CHANGES OF ATMOSPHERIC CIRCULATION 4.2.1 Modes of variability ..? 4.2.2 Depression tracks 4.2.3 Teleconnections 4.3 TEMPERATURE 4.3.1 Surface temperature 4.3.2 Upper air temperature changes 4.3.3 Attribution 4.4 CHANGES IN ANTARCTIC SNOWFALL OVER THE PAST 50 YEARS 4.4.1 General spatial and temporal characteristics of Antarctic snowfall 4.4.2 Long-term Antarctic snowfall accumulation estimates 4.4.3 Recent trends in Antarctic snowfall 4.5 ATMOSPHERIC CHEMISTRY 4.5.1 Antarctic stratospheric ozone in the instrumental period 4.5.2 Antarctic tropospheric chemistry 4.5.3 Aerosol, clouds and radiation 4.6 THE SOUTHERN OCEAN 4.6.1 Introduction 4.6.2 Australian sector 4.6.3 The Amundsen/Bellingshausen Seas 4.6.4 Variability and change in Ross Sea shelf waters 4.6.5 The Weddell Sea sector 4.6.6 Small-scale processes in the Southern Ocean 4.6.7 Dynamics of the circulation and water masses of the ACC and the polar gyres from model results 4.7 . ANTARCTIC SEA ICE COVER DURING THE INSTRUMENTAL PERIOD 4.7.1 Introduction 4.7.2 Sea ice cover in the pre-satellite era 4.7.3 Variability and trends in sea ice using satellite data 4.8 THE ICE SHEET AND PERMAFROST 4.8.1 Introduction 4.8.2 The Antarctic Peninsula 4.8.3 West Antarctica 4.8.4 East Antarctica 4.8.5 Calving 4.8.6 Sub-glacial water movement 4.8.7 Other changes in the ice sheet 4.8.8 Attribution of changes to the ice sheet 4.8.9 Conclusions regarding the ice sheet 4.8.10 Changes in Antarctic permafrost and active layer over the last 50 years 4.9 LONG TERM SEA LEVEL CHANGE 4.10 MARINE BIOLOGY 4.10.1 The open ocean system 4.10.2 Sea ice ecosystems 4.10.3 ENSO links and teleconnections to vertebrate life histories and population 4.10.4 Invertebrate physiology 4.10.5 Seasonality effect on the high Antarctic benthic shelf communities? 4.10.6 Macroalgal physiology and ecology 4.10.7 Marine/terrestrial pollution 4.11 BIOGEOCHEMISTRY - SOUTHERN OCEAN CARBON CYCLE RESPONSE TO HISTORICAL CLIMATE CHANGE 4.11.1 Introduction 4.11.2 CO2 fluxes in the Southern Ocean 4.11.3 Historical change - observed response 4.11.4 Historical change - simulated view 4.11.5 Changes in CO2 inventories 4.11.6 Concluding remarks 4.12 TERRESTRIAL BIOLOGY 5 THE NEXT 100 YEARS 5.1 INTRODUCTION 5.2 CLIMATE CHANGE 5.2.1 IPCC scenarios 5.2.2 Climate models 5.2.3 Atmospheric circulation 5.2.4 Temperature change over the Twenty First Century 5.2.5 Precipitation change over the Twenty First Century 5.2.6 Antarctic stratospheric ozone over the next 100 years 5.3 OCEAN CIRCULATION AND WATER MASSES 5.3.1 Simulation of present-day conditions in the Southern Hemisphere 5.3.2 Projections for the Twenty First Century 5.3.3 Long-term evolution of the Southern Ocean 5.3.4 Conclusions 5.4 SEA ICE CHANGE OVER THE TWENTY FIRST CENTURY 5.5 THE TERRESTRIAL CRYOSPHERE 5.5.1 Introduction 5.5.2 East Antarctic ice sheet 5.5.3 West Antarctic ice sheet 5.5.4 Antarctic Peninsula 5.5.5 Conclusions 5.5.6 Summary and needs for future research 5.6 EVOLUTION OF ANTARCTIC PERMAFROST 5.7 PROJECTIONS OF SEA LEVEL IN ANTARCTIC AND SOUTHERN OCEAN WATERS BY 2100 5.7.1 Regional projections of mean sea-level rise 5.8 BIOGEOCHEMISTRY - RESPONSE OF THE SOUTHERN OCEAN CARBON CYCLE TO FUTURE CLIMATE CHANGE 5.8.1 Background 5.8.2 Future Southern Ocean carbon response 5.8.3 Response to increased CO2 uptake 5.8.4 Concluding remarks 5.9 BIOLOGY 5.9.1 Terrestrial Biology 5.9.2 Marine Biology 5.9.3 The Antarctic marine ecosystem in the year 2100 6 RECOMMENDATIONS 7 REFERENCES.

Note: Contents: Introduction. - List of abbreviations. - 1. Balance of energy as a contemporary challenge. - 1.1. Energy resources and needs. - 1.2. Natural gas balance at the beginning of 21st century. - 1.3. Economic and political conditions at the European gas market. - 1.4. European Union facing the problem of energy supplies. - 2. Energy security - Norden - Basic issues. - 2.1. Subject and scope of national energy security. - 2.2. Nordic countries in international life. - 2.3. Norden and the energy issues of the Baltic states. - 2.4. Nordic countries - European Union in the context of energy security. - 3. Basic elements of the energy balance in Norden states. - 3.1. The Republic of Iceland. - 3.2. The Kingdom of Denmark. - 3.3. The Kingdom of Sweden. - 3.4. The Republic of Finland. - 4. Position of the Kingdom of Norway. - 4.1. Norway as an oil and gas producer. - 4.2. Norway in the energy balance of the region. - 4.3. High North - strategy vision and plan of Norway. - 4.4. High North - relations with the Russian Federation in the field of energy. - 5. Energy and climate - directions of activities of countries from Nordic region. - 5.1. Activities concerning energy and environmental protection and climate changes. - 5.2. Research and development - overcoming negative relations between progress and environment degradation. - 5.3. Nordic states versus contemporary energy security challenges. - Conclusion. - Literature. - List of figures and tables.

Note: Contents: 1 Introduction. - 2 What is science?. - 3 Choices, choices, choices. - 4 The adviser and thesis committee. - 5 Questions drive research. - 6 Giving direction to our work. - 7 Turning challenges into opportunities. - 8 Ethics of research. - 9 Using the scientific literature. - 10 Communication. - 11 Publishing a paper. - 12 Time management. - 13 Writing proposals. - 14 The scientific career. - 15 Applying for a job. - 16 Concluding remarks. - Appendix A. Futher reading. - Appendix B. A sample curriculum. - Appendix C. The Refer and BibTeX format. - References. - About the authors. - Index.

Note: Contents: 1 Introduction / Pinxian Wang and Qianyu Li. - References. - 2 Oceanographical and Geological Background / Pinxian Wang and Qianyu Li. - Introduction. - 2.1 Bathymetry and Geomorphology. - 2.2 Oceanography. - Monsoon. - Surface Circulation. - Surface Temperature and Salinity. - Thermocline and Upwelling. - Water Exchange with Pacific and Kuroshio Intrusion. - Deep Water Circulation. - Other Oceanographic Features. - Oceanographic Summary. - 2.3 Tectonic History and Sedimentary Basins. - Prior Terrains and Opening of the SCS. - Step-Wise Closure of the Sea Basin. - Formation of Shelf-Slope Sedimentary Basins. - Sediments of the SCS Shelf-Slope Basins: An Overview. - Summary of Tectonics and Basin Formation. - References. - 3 Stratigraphy and Sea Level Changes. - Introduction. - 3.1 Lithostratigraphic Overview / (Li Q. and Zhong G.). - Pre-Cenozoic Basement. - Lithostratigraphy of Syn-Rift Sediments. - Post-Rift Sediments in Shelf-Slope Basins. - Deep Water Lithostratigraphy. - 3.2 Biostratigraphic Framework / (Li Q.). - Floral and Shallow-Water Faunal Assemblages. - Planktonic Foraminiferal and Nannofossil Biostratigraphy. - Quaternary Lithobiostratigraphic Events. - 3.3 Isotopic and Astronomical Stratigraphy / (Tian J. and Li Q.). - Neogene Isotopic Records at Site 1148. - Pliocene–Pleistocene Isotopic Records at Site 1143. - 3.4 Stratigraphy of Major Shelf and Slope Basins / (Zhong G. and Li Q.). - Northern South China Sea Basins. - Southern South China Sea Basins. - 3.5 Regional Sea Level Changes / (Zhong G. and Li Q.). - Late Quaternary Sea Level Changes. - Long-Term Sea Level Changes Since the Oligocene. - New Approach Toward Fine-Scale Sea Level Magnitude. - Summary of South China Sea stratigraphy. - References. - 4 Sedimentology. - Introduction. - 4.1 Surface Deposition Patterns / (Liu Z.). - Deposit Distribution Patterns. - Sediment Transport. - 4.2 Terrigenous Deposition / (Liu Z.). - Clay Mineralogy and Geochemistry of Source Areas. - Clay Minerals. - Geochemistry. - Terrigenous Sediment Supply in Glacial Cycles. - Long-Term Changes of Terrigenous Sediment Supply. - 4.3 Biogenic Deposition. - Carbonate / (Li J. and Wang P.). - Opal / (Wang R.). - 4.4 Coral Reefs / (Yu K. and Zhao J.). - Modern Coral Reef Distribution. - Carbonate Platform Sediments and Calcium Carbonate Production. - Reef History. - 4.5 Volcanic Deposition / (Liu Z.). - Volcanic Rock Distribution. - Volcanic Ash Records. - Case Studies: Pinatubo, Toba. - 4.6 Estimation of Deposit Mass Since the Oligocene / (Huang W. and Wang P.). - Data Sources and Analyses. - Sediment Distribution and Mass. - Estimation of Terrigenous and Carbonate Masses. - Depositional Patterns. - Major Characteristics of SCS Sedimentation. - References. - 5 Upper Water Structure and Paleo-Monsoon. - Introduction. - 5.1 Sea Surface Temperature History / (Jian Z. and Tian J.). - SST Proxies. - Paleo-SST Reconstruction. - Paleo-SST Patterns. - 5.2 Thermocline Depth History / (Tian J. and Jian Z.). - Proxies of Thermocline Depth. - Paleo-Thermocline Depth. - 5.3 Vegetation History in Deep-Sea Record / (Sun X.). - Pollen Distribution in Surface Sediments. - Long-Term Evolution. - Last Glacial Pollen Records: North-South Differences. - North-South Comparison of the Vegetation During the LGM. - 5.4 Monsoon History / (Jian Z. and Tian J.). - Monsoon Proxies. - Tectonic-Scale Long-Term Evolution. - Orbital-Scale Variability. - Suborbital-Scale Variability. - Summary. - References. - 6 Deep Waters and Oceanic Connection / Quanhong Zhao, Qianyu Li and Zhimin Jian. - Introduction. - 6.1 Modern Deep Waters and Their Faunal Features. - Marginal Seas in the Western Pacific. - Modern Intermediate and Deep Waters in the South China Sea. - Modern Deep-Sea Benthic Foraminifera and Ostracods. - 6.2 Late Quaternary Deep-Water Faunas and Stable Isotopes. - 6.3 Neogene and Oligocene Deep-Water Benthic Faunas from ODP Leg 184 Sites. - Site 1148 Benthic Foraminifera. - Site 1148 Ostracods. - Faunal Indication of Deep-Water Mass Changes. - 6.4 Deep Water Evolution: Evidence from Carbonate. - Preservation and Isotopes. - Carbonate Dissolution. - Isotopic Records. - 6.5 Oceanic Connection. - Summary. - References. - 7 Biogeochemistry and the Carbon Reservoir. - Introduction. - 7.1 Productivity and Nutrient Dynamics in the Modern South China Sea / (Zhao M.). - Primary Productivity. - Nutrient Supplies. - Community Structure, Export Productivity and Sedimentary Biogenic Content. - 7.2 Paleoproductivity Reconstruction of the South China Sea / (Zhao M.). - Patterns of Productivity Changes During Glacial-Interglacial Oscillations. - Pre-Pleistocene Paleoproductivity Changes. - 7.3 Carbon Reservoir Changes / (Wang P., Tian J. and Li J.). - Modern Carbon Cycling. - Late Quaternary δ13C Cyclicity. - Long-Term Trend of Carbon Isotopes. - Summary. - References. - 8 History of the South China Sea – A Synthesis / Pinxian Wang and Qianyu Li. - Introduction. - 8.1 Evolution of the South China Sea Basin. - Pre-Spreading Stage in the Early Paleogene. - Seafloor Spreading in the Oligocene-Early Miocene. - Post-Spreading Stage Since the Late Miocene. - 8.2 Evolution of the East Asian Monsoon. - Summer Monsoon and Chemical Weathering. - Winter Monsoon and North-South Contrast. - East and South Asian Monsoons. - 8.3 Evolution of Continent-Ocean Interactions. - References. - Index.

Note: Nonlinear Mesoscopic Elasticity; Contents; Preface; Acknowledgements; 1 Introduction; 1.1 Systems; 1.2 Examples of Phenomena; 1.3 The Domain of Exploration; 1.4 Outline; References; 2 Microscopic/Macroscopic Formulation of the Traditional Theory of Linear and Nonlinear Elasticity; 2.1 Prefatory Remarks; 2.2 From Microscopic to Continuum; 2.2.1 A Microscopic Description; 2.2.2 Microscopic Description and Thermodynamics; 2.2.3 From Microscopic Model to Continuum Elasticity; 2.3 Continuum Elasticity and Macroscopic Phenomenology; 2.3.1 Displacement, Strain, and Stress. , 2.3.2 Dynamics of the Displacement Field2.3.3 Coupling Continuum Elasticity to Auxiliary Fields; 2.3.4 Inhomogeneous Elastic Systems; 2.4 Thermodynamics; 2.4.1 Thermodynamic Derivatives; 2.4.2 Series Expansion for ES; 2.4.3 Series Expansion for EZ; 2.4.4 Series Expansion for FT; 2.4.5 Assemble the Pieces; 2.5 Energy Scales; References; 3 Traditional Theory of Nonlinear Elasticity, Results; 3.1 Quasistatic Response; Linear and Nonlinear; 3.1.1 Quasistatic Response; Linear; 3.1.2 Quasistatic Response; Nonlinear; 3.2 Dynamic Response; Linear; 3.3 Quasistatic/Dynamic Response; Nonlinear. , 3.4 Dynamic Response Nonlinear; 3.4.1 Basic Equations; 3.4.2 Wave Propagation; 3.4.3 Resonant Bar; 3.5 Exotic Response; Nonlinear; 3.6 Green Functions; 3.6.1 Green Function, Free Space; 3.6.2 Green Function, Resonant Bar; References; 4 Mesoscopic Elastic Elements and Macroscopic Equations of State; 4.1 Background; 4.2 Elastic Elements; 4.2.1 Hertz-Mindlin Contacts; 4.2.2 Hysteretic Hertzian Contacts; 4.2.3 Hertzian Asperities; 4.2.4 Van der Waals Surfaces; 4.2.5 Other; 4.3 Effective Medium Theory; 4.4 Equations of State; Examples; 4.4.1 Hertzian Contacts; 4.4.2 Van der Waals Surfaces. , 4.4.3 Generalization and CaveatsReferences; 5 Auxiliary Fields; 5.1 Temperature; 5.2 Saturation; 5.2.1 Saturation/Strain Coupling; 5.2.2 Saturation/Strain Response; 5.3 The Conditioning Field, X; References; 6 Hysteretic Elastic Elements; 6.1 Finite Displacement Elastic Elements; Quasistatic Response; 6.1.1 Finite Displacement Elastic Elements: The Model; 6.1.2 Finite Displacement Elastic Element: Implementing the Model; 6.2 Finite Displacement Elastic Elements: Inversion; 6.3 Finite Displacement Elastic Elements: Dynamic Response; 6.3.1 Finite Displacement Elastic Element: Resonant Bar. , 6.3.2 Finite Displacement Elastic Element: Wave Mixing6.4 Models with Hysteresis; 6.5 Summary; 6.6 Models with Hysteresis, Detail; 6.6.1 Hertzian Contacts; 6.6.2 The Masing Rules; 6.6.3 The Endochronic Formalism; References; 7 The Dynamics of Elastic Systems; Fast and Slow; 7.1 Fast/Slow Linear Dynamics; 7.1.1 Quasistatic Response; 7.1.2 AC Response; 7.2 Fast Nonlinear Dynamics; 7.3 Auxiliary Fields and Slow Dynamics; 7.3.1 X = The Conditioning Field; 7.3.2 X = Temperature; 7.4 Summary; References; 8 Q and Issues of Data Modeling/Analysis; 8.1 Attenuation in Linear Elastic Systems. , 8.1.1 Wave Vector Dispersion.

Note: Zugl.: Berkeley, Calif., Univ., Diss.

Note: Table of Contents 1 Introduction 1.1 Scripting versus Traditional Programming 1.1.1 Why Scripting is Useful in Computational Science 1.1.2 Classification of Programming Languages 1.1.3 Productive Pairs of Programming Languages 1.1.4 Gluing Existing Applications 1.1.5 Scripting Yields Shorter Code 1.1.6 Efficiency 1.1.7 Type-Specification (Declaration) of Variables 1.1.8 Flexible Function Interfaces 1.1.9 Interactive Computing 1.1.10 Creating Code at Run Time 1.1.11 Nested Heterogeneous Data Structures 1.1.12 GUI Programming 1.1.13 Mixed Language Programming 1.1.14 When to Choose a Dynamically Typed Language 1.1.15 Why Python? 1.1.16 Script or Program? 1.2 Preparations for Working with This Book 2 Getting Started with Python Scripting 2.1 A Scientific Hello World Script 2.1.1 Executing Python Scripts 2.1.2 Dissection of the Scientific Hello World Script 2.2 Working with Files and Data 2.2.1 Problem Specification 2.2.2 The Complete Code 2.2.3 Dissection 2.2.4 Working with Files in Memory 2.2.5 Array Computing 2.2.6 Interactive Computing and Debugging 2. 2.7 Efficiency Measurements 2.2.8 Exercises 2.3 Gluing Stand-Alone Applications 2.3.1 The Simulation Code 2.3.2 Using Gnuplot to Visualize Curves 2.3.3 Functionality of the Script 2.3.4 The Complete Code 2.3.5 Dissection 2.3.6 Exercises 2.4 Conducting Numerical Experiments 2.4.1 Wrapping a Loop Around Another Script 2.4.2 Generating an HTML Report 2.4.3 Making Animations 2.4.4 Varying Any Parameter 2.5 File Format Conversion 2.5.1 A Simple Read/Write Script 2.5.2 Storing Data in Dictionaries and Lists 2.5.3 Making a Module with Functions 2.5.4 Exercises 3 Basic Python 3.1 Introductory Topics 3.1.1 Recommended Python Documentation 3.1.2 Control Statements 3.1.3 Running Applications 3.1.4 File Reading and Writing 3.1.5 Output Formatting 3.2 Variables of Different Types 3.2.1 Boolean Types 3.2.2 The None Variable 3.2.3 Numbers and Numerical Expressions 3.2.4 Lists and Tuples 3.2.5 Dictionaries 3.2.6 Splitting and Joining Text 3.2.7 String Operations 3.2.8 Text Processing 3.2.9 The Basics of a Python Class 3.2.10 Copy and Assignment 3.2.11 Determining a Variable's Type 3.2.12 Exercises 3.3 Functions 3.3.1 Keyword Arguments 3.3.2 Doc Strings 3.3.3 Variable Number of Arguments 3.3.4 Call by Reference 3.3.5 Treatment of Input and Output Arguments 3.3.6 Function Objects 3.4 Working with Files and Directories 3.4.1 Listing Files in a Directory 3.4.2 Testing File Types 3.4.3 Removing Files and Directories 3.4.4 Copying and Renaming Files 3.4.5 Splitting Pathnames 3.4.6 Creating and Moving to Directories 3.4.7 Traversing Directory Trees 3.4.8 Exercises 4 Numerical Computing in Python 4.1 A Quick NumPy Primer 4.1.1 Creating Arrays 4.1.2 Array Indexing 4.1.3 Loops over Arrays 4.1.4 Array Computations 4.1.5 More Array Functionality 4.1.6 Type Testing 4.1.7 Matrix Objects 4.1.8 Exercises 4.2 Vectorized Algorithms 4.2.1 From Scalar to Array in Function Arguments 4.2.2 Slicing 4.2.3 Exercises 4.3 More Advanced Array Computing 4.3.1 Random Numbers 4.3.2 Linear Algebra 4.3.3 Plotting 4.3.4 Example: Curve Fitting 4.3.5 Arrays on Structured Grids 4.3.6 File I/O with NumPy Arrays 4.3.7 Functionality in the Numpyutils Module 4.3.8 Exercises 4.4 Other Tools for Numerical Computations 4.4.1 The ScientificPython Package 4.4.2 The SciPy Package 4.4.3 The Python- Matlab Interface 3 4.4.4 Symbolic Computing in Python 4.4.5 Some Useful Python Modules 5 Combining Python with Fortran, C, and C++ 5.1 About Mixed Language Programming 5.1.1 Applications of Mixed Language Programming 5.1.2 Calling C from Python 5.1.3 Automatic Generation of Wrapper Code 5.2 Scientific Hello World Examples 5.2.1 Combining Python and Fortran 5.2.2 Combining Python and C 5.2.3 Combining Python and C++ Functions 5.2.4 Combining Python and C++ Classes 5.2.5 Exercises 5.3 A Simple Computational Steering Example 5.3.1 Modified Time Loop for Repeated Simulations 5.3.2 Creating a P ython Interface 5.3.3 The Steering Python Script 5.3.4 Equipping the Steering Script with a GUI 5.4 Scripting Interfaces to Large Libraries 6 Introduction to GUI Programming 6.1 Scientific Hello World GUI 6.1.1 Introductory Topics 6.1.2 The First Python/Tkinter Encounter 6.1.3 Binding Events 6.1.4 Changing the Layout 6.1.5 The Final Scientific Hello World GUI 6.1.6 An Alternative to Tkinter Variables 6.1.7 About the Pack Command 6.1.8 An Introduction to the Grid Geometry Manager 6.1.9 Implementing a GUI as a Class 6.1.10 A Simple Graphical Function Evaluator 6.1.11 Exercises 6.2 Adding GUis to Scripts 6.2.1 A Simulation and Visualization Script with a GUI 6.2.2 Improving the Layout 6.2.3 Exercises 6.3 A List of Common Widget Operations 6.3.1 Frame 6.3.2 Label 6.3.3 Button 6.3.4 Text Entry 6.3.5 Balloon Help 6.3.6 Option Menu 6.3.7 Slider 6.3.8 Check Button 6.3.9 Making a Simple Megawidget 6.3.10 Menu Bar 6.3.11 List Data 6.3.12 Listbox 6.3.13 Radio Button 6.3.14 Combo Box 6.3.15 Message Box 6.3.16 User-Defined Dialogs 6.3.17 Color-Picker Dialogs 6.3.18 File Selection Dialogs 6.3.19 Toplevel 6.3.20 Some Other Types of Widgets 6.3.21 Adapting Widgets to the User's Resize Actions 6.3.22 Customizing Fonts and Colors 6.3.23 Widget Overview 6.3.24 Exercises 7 Web Interfaces and CGI Programming 7.1 Introductory CGI Scripts 7.1.1 Web Forms and CGI Scripts 7.1.2 Generating Forms in CGI Scripts 7.1.3 Debugging CGI Scripts 7.1.4 A General Shell Script Wrapper for CGI Scripts 7.1.5 Security Issues 7.2 Adding Web Interfaces to Scripts 7.2.1 A Class for Form Parameters 7.2.2 Calling Other Programs 7.2.3 Running Simulations 7.2.4 Getting a CGI Script to Work 7.2.5 Using Web Applications from Scripts 7.2.6 Exercises 8 Advanced Python 8.1 Miscellaneous Topics 8.1.1 Parsing Command-Line Arguments 8.1.2 Platform-Dependent Operations 8.1.3 Run-Time Generation of Code 8.1.4 Exercises 8.2 Regular Expressions and Text Processing 8.2.1 Motivation 8.2.2 Special Characters 8.2.3 Regular Expressions for Real Numbers 8.2.4 Using Groups to Extract Parts of a Text 8.2.5 Extracting Interval Limits 8.2.6 Extracting Multiple Matches 8.2.7 Splitting Text 8.2.8 Pattern-Matching Modifiers 8.2.9 Substitution and Backreferences 8.2.10 Example: Swapping Arguments in Function Calls 8.2.11 A General Substitution Script 8.2.12 Debugging Regular Expressions 8.2.13 Exercises 8.3 Tools for Handling Data in Files 8.3.1 Writing and Reading Python Data Structures 8.3.2 Pickling Objects 8.3.3 Shelving Objects 8.3.4 Writing and Reading Zip and Tar Archive Files 8.3.5 Downloading Internet Files 8.3.6 Binary Input/Output 8.3.7 Exercises 8.4 A Database for NumPy Arrays 8.4.1 The Structure of the Database 8.4.2 Pickling 8.4.3 Formatted ASCII Storage 8.4.4 Shelving 8.4.5 Comparing the Various Techniques 8.5 Scripts Involving Local and Remote Hosts 8.5.1 Secure Shell Commands 8.5.2 Distributed Simulation and Visualization 8.5.3 Client/Server Programming 8.5.4 Threads 8.6 Classes 8.6.1 Class Programming 8.6.2 Checking the Class Type 8.6.3 Private Data 8.6.4 Static Data 8.6.5 Special Attributes 8.6.6 Special Methods 8.6.7 Multiple Inheritance 8.6.8 Using a Class as a C-like Structure 8.6.9 Attribute Access via String Names 8.6.10 New-Style Classes 8.6.11 Implementing Get/Set Functions via Properties 8.6.12 Subclassing Built-in Types 8.6.13 Building Class Interfaces at Run Time 8.6.14 Building Flexible Class Interfaces 8.6.15 Exercises 8.7 Scope of Variables 8.7.1 Global, Local, and Class Variables 8.7.2 Nested Functions 8.7.3 Dictionaries of Variables in Namespaces 8.8 Exceptions 8.8.1 Handling Exceptions 8.8.2 Raising Exceptions 8.9 Iterators 8.9.1 Constructing an Iterator 8.9.2 A Pointwise Grid Iterator 8.9.3 A Vectorized Grid Iterator 8.9.4 Generators 8.

Note: Contents: Introduction to federalism and the role of governments in federal economies -- The decentralization of government authority -- Expenditure assignment -- Revenue assignment -- Natural resources ownership and management in a federal system -- Local governance in theory -- Local governance in practice -- Revenue sharing -- The principles of intergovernmental transfers -- The practice of intergovernmental fiscal transfers -- Finance and provision of health and education -- Finance and provision of infrastructure -- Poverty alleviation in federations -- Fiscal federalism and macroeconomic governance -- Inter-regional competition and policies for regional cohesion and convergence -- Decentralized governance and corruption -- Adapting to a changing world..

Note: Contents: Continuous Path Processes ; Continuous-Path Random Processes: Mathematical Prerequisites ; Basic Concepts and Examples in Finance ; Hitting Times: A Mix of Mathematics and Finance ; Complements on Brownian Motion ; Complements on Continuous Path Processes ; A Special Family of Diffusions: Bessel Processes ; Jump Processes ; Default Risk: An Enlargement of Filtration Approach ; Poisson Processes and Ruin Theory ; General Processes: Mathematical Facts ; Mixed Processes ; Lévy Processes

Note: Univ. Kassel, Diss., 2009

Note: Ersch. unregelmäßig , Beiträge teilweise in Englisch

Note: Enth.: Introduction -- Pt. 2. Union of South Africa from Olifants River to Mossel Bay. With an appendix on conditions at Saldanha Bay, Cape Town and Simonstown -- Pt. 3. Union of South Africa from Mossel Bay to East London.With an appendix on conditions oat Mossel Bay and Port Elizabeth -- Pt. 4. Union of South Africa from East London to Kosi Bay.With an appendix on conditions at East London and Durban -- Pt. 5. Portuguese East Africa (Mocambique) and Mocambique Channel -- Pt. 5a. Madagascar. With an appendix on conditions at Mayotte, Diégo Suarez, Nossi Bé and Tamatave

Note: Contents: 1 Introduction and examples. - 1.1 Introduction. - 1.2 Why Bayes?. - 1.2.1 Estimating the probability of a rare event. - 1.2.2 Building a predictive model. - 1.3 Where we are going. - 1.4 Discussion and further references. - 2 Belief, probability and exchangeability. - 2.1 Belief functions and probabilities. - 2.2 Events, partitions and Bayes' rule. - 2.3 Independence. - 2.4 Random variables. - 2.4.1 Discrete random variables. - 2.4.2 Continuous random variables. - 2.4.3 Descriptions of distributions. - 2.5 Joint distributions. - 2.6 Independent random variables. - 2.7 Exchangeability. - 2.8 de Finetti's theorem. - 2.9 Discussion and further references. - 3 One-parameter models. - 3.1 The binomial model. - 3.1.1 Inference for exchangeable binary data. - 3.1.2 Confidence regions. - 3.2 The Poisson model. - 3.2.1 Posterior inference . - 3.2.2 Example: Birth rates. - 3.3 Exponential families and conjugate priors. - 3.4 Discussion and further references. - 4 Monte Carlo approximation. - 4.1 The Monte Carlo method. - 4.2 Posterior inference for arbitrary functions. - 4.3 Sampling from predictive distributions. - 4.4 Posterior predictive model checking. - 4.5 Discussion and further references. - 5 The normal model. - 5.1 The normal model. - 5.2 Inference for the mean, conditional on the variance. - 5.3 Joint inference for the mean and variance. - 5.4 Bias, variance and mean squared error. - 5.5 Prior specification based on expectations. - 5.6 The normal model for non-normal data. - 5.7 Discussion and further references. - 6 Posterior approximation with the Gibbs sampler. - 6.1 A semiconjugate prior distribution. - 6.2 Discrete approximations. - 6.3 Sampling from the conditional distributions. - 6.4 Gibbs sampling. - 6.5 General properties of the Gibbs sampler. - 6.6 Introduction to MCMC diagnostics. - 6.7 Discussion and further references. - 7 The multivariate normal model. - 7.1 The multivariate normal density. - 7.2 A semiconjugate prior distribution for the mean. - 7.3 The inverse-Wishart distribution. - 7.4 Gibbs sampling of the mean and covariance. - 7.5 Missing data and imputation. - 7.6 Discussion and further references. - 8 Group comparisons and hierarchical modeling. - 8.1 Comparing two groups. - 8.2 Comparing multiple groups. - 8.2.1 Exchangeability and hierarchical models. - 8.3 The hierarchical normal model. - 8.3.1 Posterior inference. - 8.4 Example: Math scores in U.S. public schools. - 8.4.1 Prior distributions and posterior approximation. - 8.4.2 Posterior summaries and shrinkage. - 8.5 Hierarchical modeling of means and variances. - 8.5.1 Analysis of math score data. - 8.6 Discussion and further references. - 9 Linear regression. - 9.1 The linear regression model. - 9.1.1 Least squares estimation for the oxygen uptake data. - 9.2 Bayesian estimation for a regression model. - 9.2.1 A semiconjugate prior distribution. - 9.2.2 Default and weakly informative prior distributions. - 9.3 Model selection. - 9.3.1 Bayesian model comparison. - 9.3.2 Gibbs sampling and model averaging. - 9.4 Discussion and further references. - 10 Nonconjugate priors and Metropolis-Hastings algorithms. - 10.1 Generalized linear models. - 10.2 The Metropolis algorithm. - 10.3 The Metropolis algorithm for Poisson regression. - 10.4 Metropolis, Metropolis-Hastings and Gibbs. - 10.4.1 The Metropolis-Hastings algorithm. - 10.4.2 Why does the Metropolis-Hastings algorithm work?. - 10.5 Combining the Metropolis and Gibbs algorithms. - 10.5.1 A regression model with correlated errors. - 10.5.2 Analysis of the ice core data. -