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optimization using golden section search-optimization using search golden section
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机械优化设计中，一维搜索方法，针对单峰函数，利用进退法求收敛区间，采用黄金分割法求极值-Optimization of Mechanical Design, one-dimensional search method, for single-peak function, the use of advance and retreat method convergence interval, using golden section method for extremal
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黄金分割法优化子程序
黄金分割法优化子程序-Golden Section Golden Section optimization Optimization Subroutine Subroutine
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最优化中的实例，利用黄金分割法求出下单峰函数极小点-Optimization of the examples, the use of golden section method are obtained under the single-peak function minima
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采用0.618黄金分割法求解最优解,编译软件为KEIL C，其中ak=3.985776,f(ak)=-155.9915
-0.618 golden section method used to solve the optimal solution, the compiler software for the KEIL C, in which ak = 3.985776, f (ak) =- 155.9915
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黄金分割法求最优化问题,Windows 7/vc6.0下编译通过。 运行结果正常。-The golden section method to seek the optimization problem
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一维优化黄金分割法程序,vb6.0编写的一维0.618最优值搜索算法。-One-dimensional optimization procedure of the golden section method, the vb6.0 written 0.618 optimal value of the search algorithm.
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属于机械优化设计中运用黄金分割法求最优解-Of mechanical optimization design, the use of the golden section method, the optimal solution
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利用黄金分割法，进退法求解机械优化设计的最小值-Using the golden section method of solving the minimum value of mechanical optimization design
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利用黄金分割法，进退法求解机械优化设计的最小值-Using the golden section method of solving the minimum value of mechanical optimization design
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机械优化设计一维搜索方法，综合黄金分割法与二次插值法进行最优搜索-Optimization of Mechanical Design one-dimensional search method, golden section method with quadratic interpolation method for optimal search
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一维搜索的黄金分割法；简单明了；一元最优化方法-One-dimensional search of the golden section method simple one yuan optimization method
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最优化方法求解无约束非线性规化。一维线性搜索，黄金分割法。-Golden Section optimization
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黄金分割法，适合于研究生课程最优化方法，一种基于MATLAB的仿真程序算例-Golden section method, suitable for graduate courses optimization method based on MATLAB simulation program examples
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最优化极值搜索中用黄金分割法求解一维函数的极值，算法简单希望采纳(Optimization extremum search, the golden section method to solve the extremum of one-dimensional function, the algorithm is simple, hope to adopt)
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