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Matlab
- MATLAB线性优化问题MATLAB线性优化应用 实例1：生产计划问题 实例2：投资问题 实例3：运输问题-MATLAB linear optimization applications Example 1: production planning problem Example 2: Investment Example 3: transport
shuxuejianmo_1
- 某厂生产甲乙两种口味的饮料,每百箱甲饮料需用原料6千克,工人10名,可获利10万元 每百箱乙饮料需用原料5千克,工人20名,可获利9万元.今工厂共有原料60千克,工人150名,又由于其他条件所限甲饮料产量不超过8百箱.问如何安排生产计划,即两种饮料各生产多少使获利最大.进一步讨论: 1)若投资0.8万元可增加原料1千克,问应否作这项投资. 2)若每百箱甲饮料获利可增加1万元,问应否改变生产计划. -Factory production of beverages and B in
shuxuesuanfa
- 包括分枝定界算法，线性规划单纯形算法，马尔可夫链算法，贝叶斯决策方法，生产计划算法，动态规划的投资问题的C语言解决-Including the branch-and-bound algorithm, linear programming simplex algorithm, Markov chain algorithms, Bayesian decision-making methods, production planning algorithms, dynamic programming i
dea
- 在人们的生产活动和社会活动中常常会遇到这样的问题：经过一段时间之后，需要对具有相同类型的部门或单位（称为决策单元）进行评价，其评价的依据是决策单元的“输入”数据和“输出”数据，输入数据是指决策单元在某种活动中需要消耗的某些量，例如投入的资金总额，投入的总劳动力数，占地面积等等；输出数据是决策单元经过一定的输入之后，产生的表明该活动成效的某些信息量，例如不同类型的产品数量，产品的质量，经济效益等等．再具体些说，譬如在评价某城市的高等学校时，输入可以是学校的全年的资金，教职员工的总人数，教学用房的总
yunchouxue
- 实验目的：用Lingo软件求解线性线性规划问题。 实验内容：制定最佳连续投资方案 某部门在今后五年内考虑下列项目投资 -Experimental Objective: Lingo software for solving linear linear programming problem. Experiment content: develop the best program of continuous investment A department in
project
- 已知资金总数为a（万元）,工程数n，以及利润值g(i,j)(表示对工程i投资j万元所获得的利润，其中 ，且j只取整数)，试用动态规划方法求出如何分配资金才能使获得的利润 最大（资金的分配以万元为单位）。 -The total number of funds are known to a (million), project the number of n, as well as the profits of the value of g (i, j) (expressed j milli
JM98A1
- 风险投资模型求解，用此程序求解出投资风险组合。-Venture capital model to solve, using this procedure for solving a portfolio of investment risks.
Based_on_genetic_algorithm_for_solving_knapsack_pr
- 背包问题(Knapsack problem)是一种组合优化的NP完全问题, 相似问题经常出现在商业、投资组合优化、组合数学，计算复杂性理论、密码学和应用数学等领域中，因此具有广泛的实际应用领域。-Knapsack problem (Knapsack problem) is a kind of combinatorial optimization of NP-complete problem, the problem often similar to business, investment po
project min by min
- 运用matlab编写的vwap投资策略，运用于机构投资者减小冲击成本-Vwap investment strategy by matlab
suiji
- 关于投资连结型寿险初始准备金的随机模拟 投资连结保险：一种保额随保费分离账户投资收益变化而变化的终身寿险。-The initial investment is concatenate model insurance reserve random simulation
PVSF
- At this moment, the major obstacle of wide PV system commercialization is the high initial investment cost that stems from the strict grid connection standards and high expectations from the PV system [2], [3]. The grid-connected PV system
investment-program
- 模拟三人投资策略分析，最后给出比较策略的方法-Simulation analysis of three investment strategies, the methods are given comparative strategy
invst2
- 用matlab实现投资问题（类似于0-1背包问题，但更复杂）的动态规划-Problem with matlab realized investment (like the 0-1 knapsack problem, but more complex) dynamic programming
TesinaUnitiCiampaEritreo.pdf
- Two algorythms (mathematical model included) realized via Xpress Optimization Suite). The problem solved are: Spot Investment and CDROM splitting.
touziwenti
- 1. 熟悉动态规划的使用方法 2. 分析投资问题的最优子结构 3. 用动态规划求解投资问题 求解总投资额为m，共有n个项目，Gi(x)为向第i项工程投资费用为x时的收益，如何分配资源才能获得最大利润。 -1. Familiar with dynamic programming using method 2. Analysis of the optimal sub-structure of investment 3 investment using dynamic prog
mengtekaluofa
- 关于蒙特卡洛法进行计算面积的，根据随机投点所得到的频率反推概率来求得面积。很好用的一种思维方法-About the Monte Carlo method to calculate the area, according to the random frequency of investment points to get the probability to obtain the inverse area. A good way of thinking with
City-Shop-pipeline-problem
- 需要在某个城市n个居民小区之间铺设煤气管道，则在这n个居民小区之间只需要铺设n-1条管道即可。假设任意两个小区之间都可以铺设管道，但由于地理环境不同，所需要的费用也不尽相同。选择最优的方案能使总投资尽可能小，这个问题即为求无向网的最小生成树。-Needs in a residential area between the n cities laying gas pipelines, in the residential area between the n n-1 only the laying
logopt-investment-problem
- Log-optimal investment strategy, which considers a portfolio problem with n assets held over N periods.
matlab-investment-optimazation-codes
- 实现投资组合的最优化配置，并且GUI呈现结果-investment optimization ,GUI output
MATLAB量化投资实战_第8讲_程序 (1)
- MATLAB量化投资实战 第8讲的程序,注重量化投资程序设计的可参考(the program of matlab Quantitative investment in actual combat)