A robust procedure for discontinuity handling in continuous system simulation
Transactions of the Society for Computer Simulation International
Practical methods of optimization; (2nd ed.)
Practical methods of optimization; (2nd ed.)
One-Dimensional Regularization with Discontinuities
IEEE Transactions on Pattern Analysis and Machine Intelligence
On the limited memory BFGS method for large scale optimization
Mathematical Programming: Series A and B
Nondifferentiable optimization
Optimization
A comparison of optimization-based approaches for a model computational aerodynamics design problem
Journal of Computational Physics
State event location in differential-algebraic models
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Contribution to the optimal shape design of two-dimensional internal flows with embedded shocks
Journal of Computational Physics
An optimal control problem for flows with discontinuities
Journal of Optimization Theory and Applications
Direct approach to the minimization of the maximal stress over an arch structure
Journal of Optimization Theory and Applications
Convergence Results for the Flux Identification in a Scalar Conservation Law
SIAM Journal on Control and Optimization
Algorithm 811: NDA: algorithms for nondifferentiable optimization
ACM Transactions on Mathematical Software (TOMS)
Hidden Discontinuities and Parametric Sensitivity Calculations
SIAM Journal on Scientific Computing
SIAM Journal on Control and Optimization
Nonsmooth Shape Optimization Applied to Linear Acoustics
SIAM Journal on Optimization
SHAPE OPTIMIZATION GOVERNED BY THE EULER EQUATIONS USING AN ADJOINT METHOD
SHAPE OPTIMIZATION GOVERNED BY THE EULER EQUATIONS USING AN ADJOINT METHOD
Admitting the Inadmissible: Adjoint Formulation for Incomplete Cost Functionals in Aerodynamic Optimization
Adjoint sensitivity analysis of regional air quality models
Journal of Computational Physics
Computers & Mathematics with Applications
Analysis of discrete adjoints for upwind numerical schemes
ICCS'05 Proceedings of the 5th international conference on Computational Science - Volume Part II
Journal of Computational Physics
Hi-index | 31.46 |
Optimal control of the 1-D Riemann problem of Euler equations is studied, with the initial values for pressure and density as control parameters. The least-squares type cost functional employs either distributed observations in time or observations calculated at the end of the assimilation window. Existence of solutions for the optimal control problem is proven. Smooth and nonsmooth optimization methods employ the numerical gradient (respectively, a subgradient) of the cost functional, obtained from the adjoint of the discrete forward model. The numerical flow obtained with the optimal initial conditions obtained from the nonsmooth minimization matches very well with the observations. The algorithm for smooth minimization converges for the shorter time horizon but fails to perform satisfactorily for the longer time horizon, except when the observations corresponding to shocks are detected and removed.