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Implementation4.5. Implementation of SoBaseGrid4.5.4 SoStructuredGrid2D – File FormatSoStructuredGrid2D iv–file#Inventor V2.0 asciiSoStructuredGrid {fields [SoSFEnum mode,SoSFString label,SoSFString grid_Key,SoSFString dataAccess_Key,SoSFString gridDim_Key ]label "myGrid" #optionalmodeADD#values (NONE, ADD, SET, CLEAR, LIST)grid_Key"myGrid_from_Loader"#unique key for this griddataAccess_Key "myVirtualArray_from_Loader"# points to a DataAccessNode# with raw-data}gridDim_Key"myVirtualArray_from_Loader"# points to DataAccessNode# with dimension of the gridCashFlow iv–file91
Implementation4.6. Implementation of Data Consumers4.6 Implementation of Data ConsumersThe Data Consumer node is an abstract class unify all nodes reading or writing data inthe CashFlow framework. The remaining part of this chapter resumes the three derivedclasses of Data Consumer node and closes with a class hierarchy of CashFlow nodeson page 97.4.6.1 SoLoaderNodeFigure 4.19: CashFlow: Data flow model - Loader nodeOne minor part is to be able to load several binary data files. The SoLoaderNodeis the base class for binary loaders. It provides useful methods like conversions fromlittle endian to big endian and vice versa as well as methods for checking the size of afile. This is important, because a lot of binary data files can only be loaded correctlyif the header information in the file is crosschecked with the file size. Based on thispieces of information a assumption is made whether the binary files byte order is in bigendian 8 in little endian 9 byte order.8 big endian byte order: the lowest address in memory is stored in high-order byte, the highest address inmemory is stored in the low-order byte (MAC,SGI).9 little endian byte order: the lowest address in memory is stored in low-order byte, the highest address inmemory is stored in the high-order byte (intel,PC).92
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D I P L O M A R B E I TCash FlowA V
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KurzfassungDie Fusionierung von Vis
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3.7.2 Drawback of the Virtual Array
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Introductionis then executed using
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Related WorkAll of these frameworks
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Related Work2.1. Data Flow Models2.
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Related Work2.1. Data Flow Modelspu
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Related Work2.1. Data Flow ModelsTh
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Related Work2.2. Flow Visualization
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Chapter 3Software Design3.1 CashFlo
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Software Design3.1. CashFlow Visual
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Software Design3.2. Using the Scene
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Page 53 and 54: Software Design3.4. Using Virtual A
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Page 57 and 58: Software Design3.5. General CashFlo
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Page 61 and 62: Software Design3.7. DataAccess Node
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Page 69 and 70: Software Design3.10. Render Nodes-
Page 71 and 72: Software Design3.12. User Interacti
Page 73 and 74: Chapter 4ImplementationFigure 4.1:
Page 75 and 76: Implementation4.1. Accessing Data4.
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Page 79 and 80: Implementation4.2. UML Inheritance
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Page 109 and 110: Implementation4.7. CashFlow Class H
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Page 113 and 114: Results5.1. Combining MultiData Nod
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Page 117 and 118: Results5.2. CashFlow Scene Graph Ex
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Page 121 and 122: Results5.3. Curvilinear Grid Visual
Page 123 and 124: Results5.4. Streamlines in CashFlow
Page 125 and 126: Results5.5. Grid Iterator ExamplesF
Page 127 and 128: Results5.6. Example for Parameteriz
Page 129 and 130: Results5.7. Polygonal Surfaces & Te
Page 131 and 132: Appendix AField connection &TGS Mes
Page 133 and 134: DanksagungVielen Dank an meine Schw
Page 135 and 136: 2.35 Colored Flow field topology ex
Page 137 and 138: Bibliography[3D] Java 3D. Java 3D c
Page 139 and 140: [CEI94] CEI. http://www.ceintl.com/
Page 141 and 142: [EYSK94] David S. Ebert, Roni Yagel
Page 143 and 144: [HP97] Hans - Christian Hege and Ko
Page 145 and 146: [MAY] MAYA. MAYA c○ by ALIAS c○
Page 147 and 148: [RBHC91] B. Lucas R. B. Haber and N
Page 149 and 150: [Tog02] Together. Borland R○ Toge
Page 151 and 152: [WJSV92] G. D. Montanaro William J.
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network, 39OpenDX, 15sink, 13source
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flow field, 19transfer function, 6t
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