Examples of 'minimization problem' in a sentence
Meaning of "minimization problem"
minimization problem: In mathematics and computer science, a minimization problem refers to a type of problem where the goal is to find the smallest possible value of a function or outcome. It involves minimizing a certain quantity subject to given constraints
How to use "minimization problem" in a sentence
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minimization problem
A similar argument works for a minimization problem.
This is a minimization problem with complex local optima.
This problem is formulated as an error minimization problem.
The minimization problem has no solution.
After that quantization becomes a minimization problem.
The minimization problem can.
This problem is formulated as a minimization problem.
The reduced size of the minimization problem is solved by direct or iterative methods.
The problem is then reduced to an energy minimization problem.
This minimization problem can be solved explicitly using a Lagrangian.
And we want to solve this problem as a minimization problem.
The Schrödinger problem is an entropy minimization problem with marginal constraints and a fixed reference process.
The optimization is first expressed as a numerical minimization problem.
The initial non-linear minimization problem is replaced by a succession of linear problems.
This is typically an energy minimization problem.
See also
This nonlinear minimization problem is solved vÃa the Levenberg-Marquardt Algorithm.
Let us consider the minimization problem.
The LMS algorithm is based on the stochastic gradient technique for solving the minimization problem.
We want to solve a minimization problem.
To calculate the optimal camera calibration parameters, the problem is posed as a nonlinear minimization problem.
The consumer 's period t expenditure minimization problem may be defined as follows.
My thesis subject consists in studying the resolution of this non linear minimization problem.
And the solution to the minimization problem is given by Wienerʼs formula, EPMATHMARKEREP.
A maximization problem can easily be transformed into a minimization problem by.
The minimization problem is NP-complete.
Constrained cell área minimization problem.
Minimization problem as follows,.
The idea is to apply a steepest descent step to this minimization problem.
Thus, the minimization problem is.
The correctness of the charging argument for a cost minimization problem is symmetric.
It the current description, the inventors describe the process of gene optimization as a minimization problem.
To calculate the corrective term δ, the following constrained minimization problem is considered, EPMATHMARKEREP EPMATHMARKEREP.
We study the completion problem of the low rank Hankel matrix as a minimization problem.
So, you know, whether I solve this minimization problem with 1 over m in front or not.
We used the Newton method and MINRES algorithm to solve the projected minimization problem.
The first-order conditions for this minimization problem amount to statements equivalent to ( i ) and ( ii ).
By convention, the standard form defines a minimization problem.
The first n equations constitute the solution to the minimization problem as follows EPMATHMARKEREP.
The \ tau sample quantile can be obtained by solving the following minimization problem.
This problem is also equivalent to the following minimization problem of the quadratic form,.
The non-linear equation for the above unknown ith is reformulated as a minimization problem.
It is first shown that the latter L0 minimization problem is NP-hard.
This model was expressed as a mixed-integer nonlinear minimization problem.
The extended block Arnoldi algorithm gives a projected minimization problem of small size.
Secondly, we reformulate the L0 pseudo-norm as a convex minimization problem.
More generally, consider any minimization problem.
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The problem is this is meant to be a family trip
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