Examples of using Objective function in English and their translations into Russian
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Criterion of optimality and objective function.
The objective function takes a tuple of hyperparameters and returns the associated loss.
This information is then utilized in the objective function of the subproblem.
Objective function of conceptual learning information// Alma mater Vestnik vysshei shkoly.
The optimality criterion is formulated in the form of a generalized additive objective function.
Control program; the objective function; fuel burn-up; the destruction of the fuel cladding.
The dam authorities have to consider the effect of design andoperating policy choices on an objective function of the form.
The necessity of taking into account, as the objective function of foresight, driving dynamics and transformation of the cost in economic systems was grounded.
Presents economic-mathematical model of formalizing the rational size of the Interfax in the form of the objective function and system limitations.
The objective function in the model of nonlinear programming is adjusted by a regression equation describing the dependence of yield on climatic indicators.
Annotation: In the article the use of energetic efficiency TPS as the objective function at the optimal load distribution.
Objective function of the model minimizes the number of employees, taking into account the interdependance between the load on employees and the number of mistakes.
A linear programming problem is one in which we wish to maximize orminimize a linear objective function of real variables over a polytope.
The objective function(valve opening area), is assumed to have a simple linear relationship with the design variables given as, where is a constant related to the geometry of the valve.
Combinatorial optimization, the solvable problems, combinatorial configuration,the function of a natural argument, the objective function, the permutations.
We show that with the increase in the budget of objective function computations in 7 times, the deviation of the calculated reflection ratio magnitude decreases from the experimental one in 35 times.
For the most effective inventory management of agricultural proposed authoring economic-mathematical model,which includes an objective function and a set of constraints.
The objective function of the subproblem is the reduced cost of the new variable with respect to the current dual variables, and the constraints require that the variable obeys the naturally occurring constraints.
In many settings the term refers to integer linear programming(ILP), in which the objective function and the constraints(other than the integer constraints) are linear.
In the linear case, in the primal problem, from each sub-optimal point that satisfies all the constraints, there is a direction orsubspace of directions to move that increases the objective function.
The idea is to add a regularization term in the objective function of data likelihood, which penalizes the deviation of the expected hidden variables from a small constant p{\displaystyle p.
The Lagrangian dual problem is obtained by forming the Lagrangian of a minimization problem by using nonnegative Lagrange multipliers to add the constraints to the objective function, and then solving for the primal variable values that minimize the original objective function. .
Thus established, CSI can serve as the objective function for mathematical sensitivity analysis and optimization, down to the level of‘component variables', or be part of it.
The Working Group agreed that in order to provide advice on the dynamics of thestock in Division 58.5.2, the assessment results from the fit of the most recent CASAL version with the lowest objective function and more stable estimates could be used as a basis for advice.
In addition, the algorithm itself used to form,to calculate and to minimize the objective function, composed with respect to the parameters-functionals of the output value of the analyzed ACS, becomes invariant.
The objective function of the new society we are constructing includes providing for the growth of public well-being, a stable monetary system, a low unemployment rate and efficient environmental protection.
A linear programming problem seeks to optimize(find a maximum or minimum value)a function(called the objective function) subject to a number of constraints on the variables which, in general, are linear inequalities.
If the objective function f is linear and the constrained space is a polytope, the problem is a linear programming problem, which may be solved using well-known linear programming techniques such as the simplex method.
Specifically, Professor Lefkimmiatis andhis team proposed training a network to automatically learn the objective function in a supervised manner, in turn leading to optimal denoising results based on an image quality criterion of the user's choice.
If the objective function is a ratio of a concave and a convex function(in the maximization case) and the constraints are convex, then the problem can be transformed to a convex optimization problem using fractional programming techniques.