Examples of 'optimization problem' in a sentence

Meaning of "optimization problem"

A mathematical problem seeking the best possible solution among a set of alternatives, given a set of constraints. Optimization problems are commonly encountered in various fields, such as engineering, operations research, computer science, and economics, where the goal is to maximize or minimize an objective function
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  • The problem of finding the "best" solution from all feasible solutions, given constraints defining which of the solutions are feasible, and a goal function defining which of the feasible solutions is the best one.

How to use "optimization problem" in a sentence

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optimization problem
An optimization problem seeks to minimize a loss function.
An example of such an optimization problem is graph coloring.
A complementarity problem is a type of mathematical optimization problem.
Thus the optimization problem is a dynamic one.
J is the objective function of the optimization problem.
This is a global optimization problem under constraints.
The system was modeled as a global optimization problem.
The resulting optimization problem is completely deterministic.
Let us consider the following optimization problem.
The optimization problem can be expressed as follow.
That will give us an optimization problem that is.
The optimization problem can be written as follows.
Let us discuss this optimization problem briefly.
The optimization problem is formulated as follows.
Problem solving through an optimization problem in geometry.

See also

Every optimization problem has a corresponding decision problem.
And then we solve the optimization problem.
Viewing an optimization problem in terms of constraints.
Training classifiers can be seen as an optimization problem.
Whenever we have an optimization problem with constraints.
It associates a value with an instance of an optimization problem.
It is a combinatorial optimization problem in the field of operational research.
They consider the following optimization problem.
Translate an optimization problem in mathematical terms.
It can be found by solving the optimization problem.
The optimization problem thus becomes.
So this problem can be classified as a combinatorial optimization problem.
The constrained optimization problem becomes.
The optimization problem is solved by means of a genetic algorithm.
The assignment problem is a fundamental combinatorial optimization problem.
This is an optimization problem with constraints.
Any satisficing problem can be formulated as an optimization problem.
Decision and optimization problem solving.
This replaces an integration problem with an optimization problem.
So an optimization problem looks like this.
Then we introduce a stochastic optimization problem.
The size optimization problem has two sides to it.
These coefficients are the parameters of the optimization problem.
The optimization problem is given by max.
It is illustrated using a simple storm drain optimization problem.
An optimization problem with discrete variables is known as a discrete optimization.
Each ant represents a solution to the optimization problem.
Any optimization problem consists of an objective function and constraints.
Selection of the services can be viewed as an optimization problem.
For a given optimization problem.
The optimization problem is cast in the context of dynamic programming.
I have the following optimization problem.
An optimization problem is solved successively after several decision problems.
Robust regression is a combinatorial optimization problem.
The optimization problem can be solved with different approaches.

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Examples of using Optimization
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Optimization and standardization of nucleic acid extractions
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