Examples of using Optimization problems in English and their translations into Swedish
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PDE-constrained optimization problems.
Several optimization problems are solved and detailed solutions are presented.
Use software for solving demanding global optimization problems.
Solve given optimization problems with and without constraints FSR 8.
Be able to demonstrate an ability to handle optimization problems using a computer.
Solve economic optimization problems with and without constraints.
The TOMLAB Optimization Environment is a modeling platform for solving applied optimization problems in MATLAB.
Solving optimization problems in a distributed manner is critical in many systems.
Be able to define, set-up and solve design optimization problems using methods dealt with in the course.
Optimization problems both with and without constraints is treated
Be able to define, set-up and solve design optimization problems using methods dealt with in the course.
unconstrained continuous and discrete optimization problems.
In the first part of the thesis, we consider optimization problems that evolve over time in a controlled manner.
The optimization problems that he studies are typically large-scale,
Her research includes modeling and solution of optimization problems with a focus on simulation based and multiobjective optimization. .
practical solution of optimization problems.
Robust optimization is an approach to solve optimization problems under uncertainty in the knowledge of underlying parameters.
scientists have used branching algorithms for solving optimization problems.
Another objective has been to develop standards for the interchange of model based optimization problems among others to be used in these applications.
Be able to independently construct models for optimization problems and to apply an optimization package(such as MATLAB
scientific research can be formulated as optimization problems and tackled with various optimization approaches.
algorithms for nonlinear optimization problems and variational inequalities, convex non-differentiable optimization,
TuneUp Utilities will provide you with progress reports will show you what services and other optimization problems you have done
The report is a material for deciding if a genetic multi criteria algorithm like NSGA-II could be useful in optimization problems such as the condition based maintenance problem presented by BAE systems.
relay feedback be able to solve simple optimization problems and interpret the solutions in terms of feedforward and feedback structures.
The optimization problem is formulated as follows.
which is mathematically an optimization problem, you have to know what all the possible lives are.
which in turn can be transformed into an optimization problem.
When the local volatility is estimated the parameter choice is much easier but the optimization problem is non-convex,
Therefore, the optimization problem in materials development for semiconductors is to lower the permittivity of the dielectric material as far as possible without compromising mechanical integrity,