Contrary to what is commonly thought, it is possible to obtain convergent results with negative (rather than positive) penalty functions. This has been shown and proven on various occasions for vibration analysis, but in this contribution it will also be shown and proven for systems of linear equations subjected to one or more constraints. As a key ingredient in the developed arguments, a pseudo-force is identified as the derivative of the constrained degree of freedom with respect to the inverse of the penalty parameter. Since this pseudo-force can be proven to be constant for large absolute values of the penalty parameter, it follows that the exact solution is bounded by the results obtained with negative and positive penalty parameters. ...
In variational and optimization problems where the field variable is represented by a series of func...
In variational and optimization problems where the field variable is represented by a series of func...
In solving variational, differential and optimisation equations subject to constraints, the penalty ...
Contrary to what is commonly thought, it is possible to obtain convergent results with negative (rat...
Contrary to what is commonly thought, it is possible to obtain convergent results with negative (rat...
In this short note, we focus on tyings (constraints that relate multiple degrees of freedom) modelle...
In this short note, we focus on tyings (constraints that relate multiple degrees of freedom) modelle...
In this short note, we focus on tyings (constraints that relate multiple degrees of freedom) modelle...
The Rayleigh-Ritz Method together with the Penalty Function Method is used to investigate the use of...
The use of negative penalty parameters such as elastic stiffness or mass to enforce constraints has ...
The use of negative penalty parameters such as elastic stiffness or mass to enforce constraints has ...
The use of negative penalty parameters such as elastic stiffness or mass to enforce constraints has ...
The use of negative penalty parameters such as elastic stiffness or mass to enforce constraints has ...
In variational and optimization problems where the field variable is represented by a series of func...
In variational and optimization problems where the field variable is represented by a series of func...
In variational and optimization problems where the field variable is represented by a series of func...
In variational and optimization problems where the field variable is represented by a series of func...
In solving variational, differential and optimisation equations subject to constraints, the penalty ...
Contrary to what is commonly thought, it is possible to obtain convergent results with negative (rat...
Contrary to what is commonly thought, it is possible to obtain convergent results with negative (rat...
In this short note, we focus on tyings (constraints that relate multiple degrees of freedom) modelle...
In this short note, we focus on tyings (constraints that relate multiple degrees of freedom) modelle...
In this short note, we focus on tyings (constraints that relate multiple degrees of freedom) modelle...
The Rayleigh-Ritz Method together with the Penalty Function Method is used to investigate the use of...
The use of negative penalty parameters such as elastic stiffness or mass to enforce constraints has ...
The use of negative penalty parameters such as elastic stiffness or mass to enforce constraints has ...
The use of negative penalty parameters such as elastic stiffness or mass to enforce constraints has ...
The use of negative penalty parameters such as elastic stiffness or mass to enforce constraints has ...
In variational and optimization problems where the field variable is represented by a series of func...
In variational and optimization problems where the field variable is represented by a series of func...
In variational and optimization problems where the field variable is represented by a series of func...
In variational and optimization problems where the field variable is represented by a series of func...
In solving variational, differential and optimisation equations subject to constraints, the penalty ...