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31. Sequential Unconstrained Minimization Techniques (SUMT) are most common and comparatively successful method in constrained optimization.

32. Model and implementation synchronization - unidirectional synchronisation requires less effort and ensures minimization of conflicts.

33. A method to solve local minimization problem was described too. This method can lower system overhead.

34. Following the maximum likelihood criterion and initial parameters are linearly computed, and final values are obtained through nonlinear minimization based on the maximum likelihood criterion.

35. Computational results both of the cost minimization and of the whole systems are also provided.

36. Typically, bonds with some degree of double bond character are excluded from minimization so that planarity is preserved.

37. Part three narrates the two main purposes, wealth maximization and equity, of Law, and cardinal analysis, relation of wealth maximization and utility maximization, cost minimization.

38. The Filled Function Method is an approach for solving unconstrained global minimization problem.

39. Nonlinear model must applied The least-squares Minimization Algorithm, optimal power function is maked up of model itself.

39. Wish you will love sentencedict.com and make progress everyday!

40. BLLPP is reduced to a parameter concave minimization problem, based on which, anincreasing feasible extreme point search algorithm is presented.

41. Finally, the methods of minimization and purification for PAHs are mentioned.

42. Partial differential equations (PDEs) of curve evolution are obtained by minimization of the energy functional.

43. Minimization of joint volumes, renouncement of joint preparation , and omission of pre-and post treatment of welded joints reduce manufacturing costs of marine vessels and structures.

44. Then we effectively implement energy minimization by graph cuts, obtain dense disparity map of stereo image.

45. The active contour model is a linear constraint, so the main computation involved in the deformation is a solution of a linear energy minimization problem.

46. On this basis, an algorithm for state minimization of completely specified sequential machine is obtained.

47. An algorithm is presented through using structural risk minimization ( SRM ) based on statistical learning theory.

48. This paper presents a learning problem from positive examples based on multiple valued minimization paradigm. A new heuristic algorithm for the problem is given.

49. Controlling the approaching speed and using the "rudder cycling" stopping manoeuver are favorable to the minimization of the stopping distance.

50. Minimization algorithms of logic function involve two main steps: generation of prime implicants and extration of a minimal cover from those primes.

51. Secondly, a double stochastic interchange minimization algorithm is used to whiten the Gaussian sequence under the criterion of minimum mean-square error.

52. Under new control conditions, we prove convergence of the quadratic minimization problem, which improves the recent results by Xu about quadratic optimization.

53. In the premise of efficiency, and strive for the transportation cost minimization.

54. It is first suggested that the goal of management of state-owned assets in administrative institutions is cost minimization.

55. A method of knowledge expression on based rough set theory for logic function is proposed. A minimization algorithm of simplifying logic function by using rough set is given.

56. With the help of an unconstrained minimization method solved is the axle center actual location of the rotor within its working speed range.

57. Free energy minimization method is used to study equilibrium composition of thioether in aquathermolysis reaction. The effects of temperature, pressure and feed ratio are analyzed by calculations.

58. We discuss the problem of portfolio investment with risk minimization subject to nonnegative investment proportional coefficient.

59. The map is applicable to arbitrary ternary function and can achieve an optimal or near optimal minimization for ternary tree (T-Gate).

60. Therefore, the objective of public risk management should be minimization, not elimination, of risk - related costs.