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Aerodynamic Optimization Algorithm with Integrated Geometry Parameterization and Mesh Movement
TLDR
An efficient gradient-based algorithm for aerodynamic shape optimization is presented. Expand
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Parallel Newton-Krylov Solver for the Euler Equations Discretized Using Simultaneous-Approximation Terms
0mesh continuity at block interfaces, accommodates arbitrary block topologies, and has low interblock-communication overhead. The resulting discrete equations are solved iteratively using anExpand
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Newton-Krylov Algorithm for Aerodynamic Design Using the Navier-Stokes Equations
A Newton‐Krylov algorithm is presented for two-dimensional Navier‐Stokes aerodynamic shape optimization problems. The algorithm is applied to both the discrete-adjoint and the discrete eExpand
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Multimodality and Global Optimization in Aerodynamic Design
Two optimization algorithms are presented that are capable of finding a global optimum in a computationally efficient manner: a gradient-based multistart algorithm based on Sobol sampling and aExpand
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Entropy-stable summation-by-parts discretization of the Euler equations on general curved elements
TLDR
We present and analyze an entropy-stable semi-discretization of the Euler equations based on high-order summation-by-parts, building on and generalizing previous work with tensor–product discretizations. Expand
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Induced-Drag Minimization of Nonplanar Geometries Based on the Euler Equations
The induced drag of several nonplanar configurations is minimized using an aerodynamic shape optimization algorithm based on the Euler equations. The algorithm is first validated using twistExpand
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Comparison of High-Accuracy Finite-Difference Methods for Linear Wave Propagation
  • D. Zingg
  • Computer Science, Mathematics
  • SIAM J. Sci. Comput.
  • 1 February 2000
TLDR
This paper analyzes a number of high-order and optimized finite-difference methods for numerically simulating the propagation and scattering of linear waves, such as electromagnetic, acoustic, and elastic waves. Expand
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A Jacobian-free Newton-Krylov algorithm for compressible turbulent fluid flows
TLDR
An efficient JFNK algorithm for turbulent aerodynamic flows applicable to multi-block structured grids and a one-equation turbulence model. Expand
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Superconvergent Functional Estimates from Summation-By-Parts Finite-Difference Discretizations
TLDR
Diagonal-norm summation-by-parts (SBP) operators can be used to construct time-stable high-order accurate finite-difference schemes. Expand
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Efficient Newton-Krylov Solver for Aerodynamic Computations
An efficient inexact Newton-Krylov algorithm is presented for the computation of steady two-dimensional aerodynamic flows. The algorithm uses the preconditioned, restarted generalized minimalExpand
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