Random good picture Not show

1 The descending dimension method is studied for the nonlinear programming problems with linear nonlinear equality constraints.

2 By using the nonlinear programming theory, a optimal impulse satellite evasive trajectory planning model considering earth oblateness perturbation had been established.

3 This thesis applies dynamic programming principle to solve nonlinear programming problem.

4 The result shows that the single - objective nonlinear programming model has more applicable value.

5 Based on the convex simplex method for nonlinear programming, sensitivity analysis to changes in technical coefficients of linear fractional programming is presented.

6 Third, a nonlinear programming model is given for the coexistence of multi-prices on the basis of the convex function model.

7 This paper establishes a nonlinear Lagrangian for solving nonlinear programming problems with inequality constraints penalty parameter.

8 A nonlinear programming model for voltage stability critical point was proposed.

9 Based on the convex simplex method for nonlinear programming, a sensitivity analysis of linear fractional programming is presented.

10 Geometric programming is a effective method for solving nonlinear programming. This method has been successfully used in optimization design of engineering.

11 A pair of second order symmetric dual nonlinear programming problem are formulated and duality theorems are proved.

12 Using nonlinear programming theory and computer technique for the steam turbine regenerative system, the problem of the feed-water enthalpy rise optimal distribution is solved.

13 Based on the convex simplex method for nonlinear programming, a sensitivity analysis of consumption coefficient matrix in linear fractional programming is presented.

14 Since it adopt the steepest descent method in nonlinear programming, it has the drawback that easy converge to a local minimum point of the error function.

15 The nonlinear programming method is adopted to solve the model, and realizes optimization distribution of various water resourses, combining the real situation of the dist.

16 This paper describes an problem of optimality for constraint nonlinear programming with mixed discrete variable.

17 The fuzzy linear programming (FLP) problem with nonlinear membership function (NLMF) is usually a nonlinear programming (NLP) problem.

18 The optimization of blasting parameters in engineering blasting is a complicated nonlinear programming problem.

19 Results show that the PSS parameter can be further coordinated by using the nonlinear programming technique.

20 Based on L1 norm, this paper presents a novel nonlinear programming module L1LF including of power flow equations.

21 A hybrid genetic algorithm is proposed for global optimization of nonlinear programming problems with inequality constraints.

22 It indicates that this method is efficient for solving nonlinear programming.

23 The production planning model restricts process operations in a constrained nonlinear programming problem.

24 To calculate control sequence , nonlinear model predictive control involves optimization to a nonlinear programming problem.

25 Interval optimization in interval analysis is proper to solve nonlinear programming problems with restrictions, which most of the reservoir optimal dispatching models belong to.

26 According to the request of grid concurrent operation of nonlinear programming, the parallel repetitive process is proposed to enhance its parallel based on analyzing the repetitive process of NLS.

27 The numerical experiment shows that this algorithm is effective in dealing with the nonlinear programming problem.

28 By using direct shooting method, the associated optimization was converted into a nonlinear programming problem,(www.Sentencedict.com) which was solved through a sequential quadratic programming solver.

29 Assuming the coming traffic flow to be stationary, a model of nonlinear programming is proposed to decide the arrangement of traffic light time of a single intersection.

30 In this paper, we mainly aim at the optimization of multi - modal function in the nonlinear programming.