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INTSOSTOOLS for formulating and solving optimization problems subject to one-dimensional integral inequalities.
For linear problems subject to Gaussian noise, filtering can be performed exactly using the Kalman filter.
In this contribution, we consider mixed-integer nonlinear programming problems subject to differential-algebraic constraints.
Our results are based upon a recently proposed framework to address control problems subject to average data-rate constraints.
It is shown how orthogonal compact-support multiwavelets may be used for the solution of quantum mechanical eigenvalue problems subject to specific boundary conditions.
We propose a novel numerical method for solving inverse problems subject to impulsive noises which possibly contain a large number of outliers.
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The model was upscaled to large-scale foundation problems subjected to surface line load.
They deal with thickness and shape optimization problems subjected to dynamic and static constraints, respectively.
In recent years, modal synthesis methods have been extended for solving non-linear dynamic problems subjected to harmonic excitation.
Lagrange optimal control problems subjected to system (1.1) are investigated in Section 4.
This leads to a nonlinear control problem subject to constraints.
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