Part I Introductory Concepts and Background |
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3 | (8) |
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1.1 Theory for Initial Boundary Value Problems |
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4 | (3) |
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1.1.1 The Continuous Problem |
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5 | (1) |
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1.1.2 The Semidiscrete Problem |
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6 | (1) |
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7 | (1) |
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8 | (3) |
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2 Random Field Representation |
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11 | (12) |
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2.1 Karhunen-Loeve Expansion |
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12 | (1) |
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2.2 Generalized Chaos Expansions |
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13 | (7) |
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2.2.1 Generalized Polynomial Chaos Expansion |
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13 | (3) |
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2.2.2 Haar Wavelet Expansion |
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16 | (1) |
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2.2.3 Multiwavelet Expansion |
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17 | (3) |
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2.2.4 Choice of Basis Functions for Generalized Chaos |
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20 | (1) |
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20 | (1) |
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20 | (3) |
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3 Polynomial Chaos Methods |
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23 | (8) |
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23 | (2) |
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3.1.1 Stochastic Galerkin Methods |
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23 | (1) |
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3.1.2 Semi-intrusive Methods |
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24 | (1) |
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3.2 Non-intrusive Methods |
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25 | (3) |
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3.2.1 Interpolation and Integration Approaches |
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25 | (1) |
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3.2.2 Spectral Projection |
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26 | (1) |
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3.2.3 Stochastic Multi-elements |
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27 | (1) |
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28 | (1) |
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28 | (3) |
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4 Numerical Solution of Hyperbolic Problems |
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31 | (16) |
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4.1 Summation-by-Parts Operators |
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32 | (1) |
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4.1.1 Recipe for Constructing a Scheme |
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32 | (1) |
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4.1.2 The Continuous Problem |
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33 | (1) |
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33 | (5) |
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33 | (1) |
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34 | (2) |
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4.2.3 Convergence for Finite Time |
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36 | (1) |
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4.2.4 An Error Bound in Time |
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37 | (1) |
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4.2.5 Artificial Dissipation Operators |
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38 | (1) |
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4.3 Shock-Capturing Methods |
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38 | (2) |
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38 | (2) |
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40 | (1) |
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40 | (2) |
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42 | (1) |
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43 | (4) |
Part II Scalar Transport Problems |
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5 Linear Transport Under Uncertainty |
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47 | (34) |
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48 | (5) |
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5.1.1 Uncertainty and Solution Procedure |
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49 | (1) |
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5.1.2 Stochastic Galerkin Projection |
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49 | (3) |
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5.1.3 Diagonalization of the Stochastic Galerkin System |
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52 | (1) |
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5.2 The Eigenvalues of the Diffusion Matrix B |
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53 | (2) |
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5.2.1 General Bounds on the Eigenvalues of B |
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53 | (1) |
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5.2.2 Legendre Polynomial Representation |
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54 | (1) |
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5.2.3 Hermite Polynomial Representation |
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54 | (1) |
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5.3 Boundary Conditions for Well-Posedness |
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55 | (1) |
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5.4 Monotonicity of the Solution |
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56 | (4) |
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5.4.1 Second-Order Operators |
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56 | (3) |
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5.4.2 Fourth-Order Operators |
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59 | (1) |
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5.5 Stability of the Semidiscretized Problem |
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60 | (11) |
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5.5.1 The Initial Value Problem: von Neumann Analysis |
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60 | (2) |
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5.5.2 The Initial Boundary Value Problem |
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62 | (4) |
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5.5.3 Eigenvalues of the Total System Matrix |
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66 | (3) |
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5.5.4 Convergence to Steady-State |
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69 | (2) |
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71 | (6) |
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72 | (4) |
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5.6.2 Steady-State Calculations |
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76 | (1) |
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5.7 Summary and Conclusions |
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77 | (1) |
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78 | (1) |
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78 | (1) |
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79 | (2) |
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6 Nonlinear Transport Under Uncertainty |
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81 | (30) |
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6.1 Polynomial Chaos Expansion of Burgers' Equation |
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82 | (3) |
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6.1.1 Entropy and Energy Estimates for the M = 2 Case |
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83 | (1) |
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6.1.2 Diagonalization of the System Matrix A(uM) |
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84 | (1) |
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85 | (3) |
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6.2.1 Regularity Determined by the gPC Expansion Order |
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87 | (1) |
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88 | (2) |
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6.3.1 The Importance of Boundary Conditions |
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90 | (1) |
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6.4 Energy Estimates for Stability |
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90 | (3) |
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6.4.1 Artificial Dissipation for Enhanced Stability |
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92 | (1) |
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93 | (1) |
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6.6 Eigenvalue Approximation |
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93 | (2) |
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6.7 Efficiency of the Polynomial Chaos Method |
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95 | (3) |
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6.7.1 Numerical Convergence |
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96 | (2) |
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6.8 Theoretical Results and Interpretation |
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98 | (8) |
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6.8.1 Analysis of Characteristics: Disturbed Cosine Wave |
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98 | (8) |
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6.9 Summary and Conclusions |
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106 | (1) |
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107 | (1) |
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107 | (1) |
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108 | (3) |
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7 Boundary Conditions and Data |
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111 | (14) |
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7.1 Dependence on Available Data |
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111 | (9) |
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7.1.1 Complete Set of Data |
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112 | (1) |
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7.1.2 Incomplete Set of Boundary Data |
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112 | (6) |
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7.1.3 Discussion of the Results with Incomplete Set of Data |
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118 | (2) |
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7.2 Summary and Conclusions |
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120 | (1) |
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120 | (1) |
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121 | (4) |
Part III Euler Equations and Two-Phase Flow |
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8 gPC for the Euler Equations |
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125 | (24) |
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8.1 Euler Equations with Input Uncertainty |
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126 | (4) |
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8.1.1 Formulation in Roe Variables |
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127 | (1) |
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8.1.2 Stochastic Galerkin Formulation of the Euler Equations |
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128 | (2) |
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130 | (5) |
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8.2.1 Expansion of Conservative Variables |
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130 | (1) |
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8.2.2 Expansion of Roe's Variables |
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131 | (1) |
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8.2.3 Stochastic Galerkin Roe Average Matrix for Roe Variables |
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132 | (3) |
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135 | (11) |
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8.3.1 Spatial Convergence |
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136 | (1) |
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8.3.2 Initial Conditions and Discontinuous Solutions |
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137 | (2) |
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8.3.3 Spatial and Stochastic Resolution Requirements |
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139 | (2) |
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8.3.4 Convergence of Multiwavelet Expansions |
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141 | (1) |
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142 | (2) |
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144 | (2) |
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8.4 Summary and Conclusions |
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146 | (2) |
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148 | (1) |
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9 A Hybrid Scheme for Two-Phase Flow |
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149 | (26) |
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9.1 Two-Phase Flow Problem |
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150 | (3) |
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9.2 Smoothness Properties of the Solution |
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153 | (3) |
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9.2.1 Analytical Solution |
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153 | (2) |
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155 | (1) |
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9.2.3 The Stochastic Galerkin Solution Modes |
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155 | (1) |
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156 | (9) |
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9.3.1 Summation-by-Parts Operators |
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156 | (1) |
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157 | (1) |
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158 | (7) |
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165 | (4) |
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9.4.1 Convergence of Smooth Solutions |
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166 | (2) |
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9.4.2 Non-smooth Riemann Problem |
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168 | (1) |
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9.5 Summary and Conclusions |
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169 | (2) |
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171 | (2) |
A Generation of Multiwavelets |
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173 | (2) |
B Proof of Constant Eigenvectors of Low-Order MW Triple Product Matrices |
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175 | (4) |
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B.1 Proof of Constant Eigenvectors of A |
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175 | (2) |
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B.2 Eigenvalue Decompositions of A |
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177 | (2) |
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B.2.1 Piecewise Constant Multiwavelets (Haar Wavelets) |
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177 | (1) |
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B.2.2 Piecewise Linear Multiwavelets |
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177 | (2) |
C Matlab Codes |
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179 | (34) |
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179 | (16) |
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179 | (4) |
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C.1.2 Discretization Operators |
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183 | (8) |
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191 | (2) |
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193 | (2) |
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195 | (18) |
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195 | (3) |
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C.2.2 Discretization Operators |
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198 | (9) |
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207 | (3) |
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210 | (3) |
Index |
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213 | |