AbstractThe sensitivity of solution properties to variation in the problem parameters is a desirable output of simulations. This information can be obtained as a by product when the nominal solution is computed by Newton iterations. A novel application of this idea to semiconductor simulations is presented. Special care is needed for extracting the right subset of the possible derivatives, without increasing the computational complexity significantly
Monte Carlo simulation is one alternative for analyzing options markets when the assumptions of simp...
An important criticism of traditional methods of inverse simulation that are based on the Newton–Rap...
The paper presents an efficient technique for evaluating the DC sensitivity of GaAs monopolar or bip...
The calculation of design sensitivities form the central operation in many optimisation problems. Wh...
The semiconductor industry is a capital-intensive industry with rapid time-to-market, short product ...
The electronics industry provides the core technology for numerous industrial innovations. Progress ...
Sensitivity analysis studies how the variation in the numerical output of a model can be quantitativ...
In engineering, simulation software is often used as a convenient means for carrying out experiments...
We present a general approach to concurrently describe small-change variations of a semiconductor de...
International audienceThis paper presents an efficient parameter identification approach for the sim...
Methods are presented for performing a rigorous sensitivity analysis of numerical problems with inde...
Simulation of any physical process requires definition of the physical model, method – analytical or...
Circuit sensitivity analysis helps a circuit designer to determine which transistors in a circuit ar...
Circuit sensitivity analysis helps a circuit designer to determine which transistors in a circuit ar...
An important criticism of traditional methods of inverse simulation that are based on the Newton–Rap...
Monte Carlo simulation is one alternative for analyzing options markets when the assumptions of simp...
An important criticism of traditional methods of inverse simulation that are based on the Newton–Rap...
The paper presents an efficient technique for evaluating the DC sensitivity of GaAs monopolar or bip...
The calculation of design sensitivities form the central operation in many optimisation problems. Wh...
The semiconductor industry is a capital-intensive industry with rapid time-to-market, short product ...
The electronics industry provides the core technology for numerous industrial innovations. Progress ...
Sensitivity analysis studies how the variation in the numerical output of a model can be quantitativ...
In engineering, simulation software is often used as a convenient means for carrying out experiments...
We present a general approach to concurrently describe small-change variations of a semiconductor de...
International audienceThis paper presents an efficient parameter identification approach for the sim...
Methods are presented for performing a rigorous sensitivity analysis of numerical problems with inde...
Simulation of any physical process requires definition of the physical model, method – analytical or...
Circuit sensitivity analysis helps a circuit designer to determine which transistors in a circuit ar...
Circuit sensitivity analysis helps a circuit designer to determine which transistors in a circuit ar...
An important criticism of traditional methods of inverse simulation that are based on the Newton–Rap...
Monte Carlo simulation is one alternative for analyzing options markets when the assumptions of simp...
An important criticism of traditional methods of inverse simulation that are based on the Newton–Rap...
The paper presents an efficient technique for evaluating the DC sensitivity of GaAs monopolar or bip...
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