本文提出一类新的解无约束最优化问题的信赖域方法。
In this paper, we propose a new class of trust region methods for nonlinear optimization problems.
第二部分主要研究无约束最优化问题非单调信赖域法。
At the second part, nonmonotonic trust region method for unconstrained optimization is studied.
对求解无约束最优化问题,本文给出了一个区间压缩方法。
In this paper, the method of region constriction for global optimization is proposed.
本文研究求解约束最优化问题的序列二次规划算法(SQP算法)。
In this paper, we are concerned with the sequence quadratic programming (SQP) methods for solving constrained optimization problems.
本文给出非线性不等式约束最优化问题的一个初始点可任取的算法。
This paper presents an algorithm for nonlinear inequality constrained optimization problems which begins at any starting point.
第四章,考虑无约束最优化问题,我们提出一种新的记忆预测方法。
In Chapter 4, we study a new memory-predicted methods for unconstrained optimizations.
图像匹配是一种约束最优化问题,系统是否收敛于全局最优值一直尚未解决。
Image matching belongs to constrained optimization problems. Whether the system would converge to the global optimum is still an open problem.
给出了一个解无约束最优化问题的非单调的新的BFGS校正的信赖域算法。
The paper proposes a nonmonotonic BFGS-trust-region algorithm for unconstrained optimization.
对一般非线性等式约束最优化问题提出了一种信赖域算法,其子问题较易求解。
In this paper, a trust region algorithm for general nonlinear equality constrained optimization problems, is presented. The solution of their subproblems is easy.
根据无约束最优化问题的梯度算法,提出了二次梯度算法,并证明了其收敛性。
In this paper, the gradient computational algorithm about unconditional extreme value is given.
基于无约束最优化问题的记忆梯度法,本文设计了测定近震时空参数的计算机程序。
In this paper, a computer program for determining near earthquake time and space parameters is designed, on the basis of memory gradient method for unconstrained optimization.
在凸规划理论中,通过KT条件,往往将约束最优化问题归结为一个混合互补问题来求解。
In convex programming theory, a constrained optimization problem, by KT conditions, is usually converted into a mixed nonlinear complementarity problem.
本文利用带上、下界的修正单纯形法,求解安全约束最优化问题之一的有功安全校正问题。
In this paper, a revised simplex algorithm with lower and upper bounds is used for solving the problem of active power security control which is one kind of the security constrained optimization.
介绍了简化模糊推理方法,在此基础上提出了求解模糊专家系统中约束最优化问题的一般方法。
Simplified fuzzy reasoning method is introduced and a general method to solve constrained optimization problems in fuzzy expert system is proposed.
介绍了简化模糊推理方法 ,在此基础上提出了求解模糊专家系统中约束最优化问题的一般方法 。
It is given that a super linearly convergent feasible direction method for solving optimization problems with lincar constraints.
对于一般的无约束最优化问题及其特殊情况非线性最小二乘问题而言,信赖域方法是一种有效的方法。
Trust region method is a kind of efficient methods to solve the general unconstrained optimization and its special situation, the nonlinear least squares problems.
本文把最小外接球的评定问题表述为非线性约束最优化问题,并采用有效约束技术求得精确的最优解。
The equations of nonlinearly constrained optimization are presented for the evaluation of the minimal circumscribed sphere.
第3章给出了广义模式搜索算法对线性等式约束最优化问题的一个新解法,并证明了这种算法的全局收敛性。
Chapter 3 constructs a new generalized pattern search method for linear equality constrained optimization problems and gives the proofs of the global convergence.
对非线性不等式约束最优化问题进行了讨论,借助广义投影建立求解问题的一个含系列自由参数的统一算法模型。
Optimization problem with nonlinear inequality constraints is discussed. With the help of the generalized projection, a unified algorithm model with a series of free parameters is presented.
第三部分,研究平衡约束优化问题的可行性和最优性条件。
Finally, we study feasibility and optimality conditions for optimization problems with equilibrium constraints.
本文首先对箱子约束全局最优化问题提出了一个新的辅助函数,该函数能跳出当前的局部极小点。
In this paper, a new auxiliary function with one parameter on box constrained for escaping the current local minimizer of global optimization problem is proposed.
最后,利用择一性定理,获得了含不等式和等式约束的广义次似凸集值映射向量最优化问题的最优性条件。
Finally, the optimality conditions for vector optimization problems with set valued maps with equality and inequality constraints are obtained with it.
把BFGS方法与混沌优化方法相结合,基于混沌变量提出一种求解具有变量边界约束非线性最优化问题的混合优化方法。
Combining the BFGS method with the chaos optimization method, a hybrid approach is proposed to solve nonlinear optimization problems with boundary restraints of variables.
针对无约束函数最优化问题,提出了一种能有效加快收敛速度的改进单纯形算法。
An improved simplex method (ISM) based on Nelder and Meads simplex method (N-M SM) is presented for unconstrained function optimization.
探讨了软件测试中每个构件软件的可靠性灵敏度已知,而测试资源受约束时,如何合理分配测试用例以提高构件软件可靠性的最优化问题。
When the reliability sensitivity of each component based software is given and the testing- resource constrained, optimization problem in determining the test allocation is studied.
针对边界约束函数全局最优化和多峰寻优问题,提出一种直接搜索算法。
This paper proposes a direct search algorithm for global optimization and multi-peak searching of functions with boundary constraints.
正则化图像恢复是条件约束的最优化问题,而小波系数的贝叶斯统计选择是基于图像的随机场观点。
A regularized image restoration is the optimization for some conditional constraint, and the selection of wavelet coefficients based Bayesian statistic is on the image random field view.
解决约束优化问题的关键是如何平衡来自目标函数最优化与满足约束条件这两方面的压力。
It is a key to how to balance the pressure from between the optimization of objective function and the satisfaction of constraints.
论述了钻机最优化设计研究中的某些问题,探讨了钻机优化设计中的目标函数、约束条件和求解方法。
In this article, the authors present the research on the object functions, subject conditions and resolve methods in the optimal methods of borer design.
该方法将模型修正问题转化为一个带二次约束的最优化问题。
The updating problems of structure models are turned into the optimization with a quadratic constraint.
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