decision variable sentence in Hindi
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- This problem is much simpler than the one we wrote down before, because it involves only two decision variables, c _ t and k _ { t + 1 }.
- The following graph displays the expected value taking uncertainty into account ( the smooth blue curve ) to the expected utility ignoring uncertainty, graphed as a function of the decision variable.
- For example, in designing a product, we decide on the design parameters ( decision variables ) each of which affect the performance measures ( criteria ) with which we evaluate our product.
- Pyomo supports an object-oriented style of formulating optimization models, which are defined with a variety of modeling components : sets, scalar and multidimensional parameters, decision variables, objectives, constraints, equations, disjunctions and more.
- If P is not a finite set, then this problem is a linear semi-infinite programming problem, namely a linear programming problem with finitely many ( 2 ) decision variables and infinitely many constraints.
- Alternatively, the formulation may be a gross pool, in which the decision variables determine total quantities that each participant receives; the market manager calculates net sales after the model's solution, based on participants'initial holdings.
- A solution to an optimization problem is a set of values for all its decision variables that respects the constraints of the problem without decision variables, it would not possible to express optimization problems.
- A solution to an optimization problem is a set of values for all its decision variables that respects the constraints of the problem without decision variables, it would not possible to express optimization problems.
- For example, a classifier ( for example k-means ), takes a vector of features ( decision variables ) and outputs for each possible classification result the probability that the vector belongs to the class.
- The ES discussed here performs a population wide uniform crossover and therefore sets the value of each decision variable to the value of the corresponding decision variable of a uniformly selected solution in the current population.
- The ES discussed here performs a population wide uniform crossover and therefore sets the value of each decision variable to the value of the corresponding decision variable of a uniformly selected solution in the current population.
- The central agency starts the process by providing each firm with tentative resource allocations which satisfy the overall constraints D . Each firm optimizes its local decision variables assuming the global resource allocations are as indicated.
- A binary decision variable x _ j determines for each pairing j if it becomes part of the crew schedule ( x _ j = 1 ) or not ( x _ j = 0 ).
- Island biogeography theory and lessons learned from true-island biogeography provide a basis for developing a management strategy and addressing specific decision variables, such as reserve patch size, distribution, placement and protective measures ( Harris 1984 ).
- There are several definitions that are central in MCDM . Two closely related definitions are those of nondominance ( defined based on the criterion space representation ) and efficiency ( defined based on the decision variable representation ).
- To clear the market, the market manager solves a linear program in which the decision variables are how much power to accept from each generator, the flow of power on each line, and how much power to provide to each distributor.
- To clear the market, the market manager solves a linear program in which the decision variables are the gas to accept from each supplier, the flow of gas on each pipe segment, and how much gas to provide to each distributor.
- Optimization models have three parts : ( 1 ) an objective, such as " Minimize cost ", ( 2 ) decision variables, which correspond to the options available to management, and ( 3 ) constraints, which describe the technical or physical requirements imposed on the options.
- In such formulation x \ in \ mathbb { R } ^ n is the first-stage decision variable vector, y \ in \ mathbb { R } ^ m is the second-stage decision variable vector, and \ xi ( q, T, W, h ) contains the data of the second-stage problem.
- In such formulation x \ in \ mathbb { R } ^ n is the first-stage decision variable vector, y \ in \ mathbb { R } ^ m is the second-stage decision variable vector, and \ xi ( q, T, W, h ) contains the data of the second-stage problem.
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