搜索资源列表
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Quadratic interpolation line search with backtracking fallback
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利用回溯算法解决组合问题。构造虚拟二叉树,采取深度优先搜索方式得到解。-Backtracking algorithm to solve combinatorial problems. Construct a virtual binary tree, the depth-first search to get the solution.
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这是一个好的建模学习资料,赶快下载吧, 数学建模十大算法 ( 包含:蒙特卡罗算法、数据拟合、参数估计、 插值等数据处理算法、线性规划、整数规划、多元规划、二次规划等规划类问题、 图论算法、动态规划、回溯搜索、分治算法、分支定界等计算机算法、 最优化理论的三大非经典算法:模拟退火法、神经网络、遗传算法、 网格算法和穷举法、一些连续离散化方法、数值分析算法、图象处理算法)-This is a good model to study the information, download it quick
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This algorithm is called backtracking search algorithm used for maximization and minimization problem
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程序采用梯度下降法求解函数最小值,函数系数矩阵分别为50x50和100x100,梯度下降法中,同时采用了精确直线搜索和回溯直线搜索,并比较了两种方法的收敛速度,用图形表示。文件里面有具体问题描述。-Program uses a gradient descent method for solving the minimum, function coefficient matrix are 50x50 and 100x100, gradient descent method, while using
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利用梯度法,分别采用回溯直线搜索与一种精确直线搜索求解最优化问题-Using the gradient method, respectively, using backtracking linear search and a precise linear search to solve optimization problems
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利用最速下降法,分别采用回溯直线搜索与一种精确直线搜索求解含等式约束的最优化问题-By using the steepest descent method, the backtracking rectilinear search and a precise linear search are used to solve the optimization problem with equality constraints
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利用Newton法,分别采用回溯直线搜索与一种精确直线搜索求解含等式约束的最优化问题-Using the Newton method, we use the backtracking rectilinear search and a precise linear search to solve the optimization problem with equality constraints
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广度优先搜索是从某一节点开始,搜索与其线连接的所有节点,按照广度方向像外扩展,直到不重复遍历所有节点。
深度优先搜索是从某一节点开始,沿着其搜索到的第一个节点不断深入下去,当无法再深入的时候,回溯节点,然后再在回溯中的某一节点开始沿另一个方向深度搜索,直到不重复的遍历所有节点。(Breadth first search begins with a node and searches all nodes connected to its line, extending in the direct
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回溯先搜索法梯度下降法与牛顿迭代算法结合的MATLAB例程(Backtracking first search method, gradient descent method and Newton iterative algorithm combined with MATLAB routines)
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数学规划基础课后作业,北京航空航天大学最优化,牛顿法,最速下降法,回溯线搜索(Mathematics programming foundation homework, Beihang University optimization, Newton method, steepest descent method, backtracking line search)
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梯度下降法优化函数,包括回溯搜索法和精确直线法(Gradient descent method to optimize the function, including backtracking search method and precise line method)
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