Unconstrained相关论文
The convergence properties of the Fletcher-Reeves method for unconstrained optimization are further studied with the tec......
In this paper, a new trust region subproblem is proposed. The trust radius in the new subproblem adjusts itself adaptive......
Conjugate gradient methods are very important ones for solving nonlinear optimization problems,especially for large scal......
We study in this paper the continuity of the objective function for variable program-ming. In particular, we study the s......
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本文给出了一种求解无限制板材下料问题的动态规划解法,对该算法的计算复杂度进行了分析.并针对算法的特点提出了改进方案.通过理......
阴影检测是进行阴影处理前的重要步骤,总变分模型可以用于影像阴影检测.通过对总变分模型进行改进,提出了一种基于无约束总变分模......
根据评定误差的最小包容区域准则,应用坐标变换法建立评定圆柱度误差的4变量无约束优化模型。由于差分进化（Differential evolution......
通过实时摄像和断面图处理相结合方法,对热挤出成形无约束条件下的粉末紧实熔化法发泡工艺（简称PCM）及泡沫铝气孔结构的演变进行了研......
LGO软件是一款高精度、多功能测量数据处理软件。针对LGO软件在处理GNSS数据时的一些常见问题,通过2组高精度控制网数据解算,探讨L......
在连通域单元的基础上提出了一种手写体汉字切分的优化模型,该模型可以自适应的确定部件、单个字和粘连字的宽度。另外,对粘连字的......
目的明确颈椎前路短节段非限制性与限制性钢板对融合节段及颈椎整体曲度的影响。方法 2000年3月至2005年12月连续诊治55例行颈椎前......
An investigation using high-precision CCD laser displacement sensor to measure body surface motion i
The aim of this study was to measure the motion of the body surface induced by heartbeat by using a high-precision laser......
Using a predictor-corrector tactic, this paper derives new iteration schemes for unconstrained optimization. It yields a......
A hybridization of the three-term conjugate gradient method proposed by Zhang et al. and the nonlinear conjugate gradien......
介绍了一种新的解无约束最优化的直接方法—抛物面法,它是在＋1中找到不在同一超平面的＋2个点,通过这些点确定一个超抛物面,以抛物面......
对解无约束最优化的超抛物面法的点的替换原则进行了改进,并且与应用性很强的powell直接方法结合,使得改进后的超抛物面法比原方法......
阐述了一种新的解无约束最优化的直接方法——抛物面法，它是在R^n＋1。中找到不在同一超平面的n＋2个点，通过这些点确定一个超抛物面，以抛......
A Non-Monotone Trust Region Method with Non-Monotone Wolfe-Type Line Search Strategy for Unconstrain
In this paper, we propose and analyze a non-monotone trust region method with non-monotone line search strategy for unco......
Global Convergence of an Extended Descent Algorithm without Line Search for Unconstrained Optimizati
In this paper, we extend a descent algorithm without line search for solving unconstrained optimization problems. Under ......
In this paper, we propose a retrospective filter trust region algorithm for unconstrained optimization, which is based o......
In this paper, a new nonlinear conjugate gradient method is proposed for large-scale unconstrained optimization. The suf......
In this paper, a new conjugate gradient formula and its algorithm for solving unconstrained optimization problems are pr......
Trust-region methods are popular for nonlinear optimization problems. How to determine the predicted reduction of the tr......
On the Global Convergence of the PERRY-SHANNO Method for Nonconvex Unconstrained Optimization Proble
In this paper, we prove the global convergence of the Perry-Shanno’s memoryless quasi-Newton (PSMQN) method with a new ......
In reference [1], for large scale nonlinear equations , a new ODE solving method was given. This paper is a continuous w......
In this paper, we propose several new line search rules for solving unconstrained minimization problems. These new line ......
A more efficient method of locating the optimum of a second order response function was of interest in this work. In ord......
将文献[2]求解信赖域予问题的混合折线法与文献[1]的自动确定信赖域半径的方法相结合，并且在试探步不可接受时，采用线搜索来计算下一......
It is well known that the line search methods play a very important role for optimization problems. In this paper a new ......
In this paper, we present a new line search and trust region algorithm for unconstrained optimization problems. The trus......
In this paper, we propose new variants of Newton’s method based on quadrature formula and power mean for solving nonlin......
A hybrid method of the Polak-Ribière-Polyak (PRP) method and the Wei-Yao-Liu (WYL) method is proposed for unconstra......
A power tool for the analysis of quasi-Newton methods has been proposed by Byrd and Nocedal ([1], 1989). The purpose of ......
A Class of Collinear Scaling Algorithms for Unconstrained Optimization. An appealing approach to the solution of nonline......
An analysis on the property of Self-Scaling Rank One Update (SSR1) is given. In view of it, we explore whether the SSR1 ......
对超二次曲面法点的替换原则进行了修正，使得修正后的超二次曲面法比原方法计算目标函数值的次数有较大减少，而且迭代次数也少，达到了......
Pattern search algorithms is one of most frequently used methods which were designed to solve the derivative-free optimi......
