请将以下lingo语言转换成matlab语言model: sets: s/1..5/:r,p,q,x; endsets data: r=0.05 0.28 0.21 0.23 0.25;q=0 0.025 0.015 0.055 0.026; p=0 0.01 0.02 0.045 0.065;m=0.76; enddata ⁤⁤min=m∗k−(1−m)∗h;⁤⁤ ⁤⁤h=@sin⁡(s:(r−p)∗x);⁤⁤ ⁤⁤for(s:q^{ \ast }x<k);⁤⁤ ⁤⁤for(s:q^{ \ast }x<k);⁤⁤ end

% define sets
s = [1:5];
r = s;
p = s;
q = s;
x = s;

% define data
r=[0.05 0.28 0.21 0.23 0.25];
q=[0 0.025 0.015 0.055 0.026];
p=[0 0.01 0.02 0.045 0.065];
m=0.76;

% calculate min
h = sin(s:(r-p).*x);
min = m.*k - (1-m).*h;
for s:q.*x
%code here
end

相关问题

请将以下lingo语言转换成matlab

我不确定您指的是什么样的lingo语言，因为这个词在不同的领域中有不同的含义。但是，这里是一个例子，将一段简单的lingo语言转换成matlab语言。

Lingo语言：

SETS:
  PRODUCTS / P1*P2*P3*P4*P5*P6*P7*P8*P9*P10 /;
  LOCATIONS / W1*L1 /;
    
DATA:
  COMMANDER / P1*W1 10, P1*L1 15, P2*W1 6, P2*L1 18, P3*W1 8, P3*L1 16, P4*W1 12, P4*L1 14 /;
    
VARS:
  X(PRODUCTS, LOCATIONS);
    
BINARY VARIABLES:
  Z(PRODUCTS, LOCATIONS);

MIN = SUM((P,I), COMMANDER(P,I) * X(P,I));
     
SUBTO PROFIT_CONS:
  FOR(P IN PRODUCTS):
    SUM(I,COMMANDER(P,I)*Z(P,I))<=200;
  ENDFOR;

SOLVE;
    
DISPLAY X;

Matlab语言：

%SETS
    
PRODUCTS = ["P1","P2","P3","P4","P5","P6","P7","P8","P9","P10"];
LOCATIONS = ["W1","L1"];

%DATA

COMMANDER = containers.Map(...
    {"P1W1","P1L1","P2W1","P2L1","P3W1","P3L1","P4W1","P4L1"},...
    [10,15,6,18,8,16,12,14]);

%VARS

X = zeros(length(PRODUCTS),length(LOCATIONS));
Z = zeros(length(PRODUCTS),length(LOCATIONS));

%MIN

MIN = 0;
for i = 1:length(PRODUCTS)
    for j = 1:length(LOCATIONS)
        MIN = MIN + COMMANDER(string(PRODUCTS(i)) + string(LOCATIONS(j))) * X(i,j);
    end
end

%SOLVE

for i = 1:length(PRODUCTS)
    for j = 1:length(LOCATIONS)
        if Z(i,j) == 1
            PROFIT_CONS(i,j) = COMMANDER(string(PRODUCTS(i)) + string(LOCATIONS(j)));
        else
            PROFIT_CONS(i,j) = 0;
        end
    end
end

for i = 1:length(PRODUCTS)
    if sum(PROFIT_CONS(i,:)) <= 200
        PROFIT_CONS(i,:) = [];
    end
end

%SOLVE

X = linprog(MIN,[],[],PROFIT_CONS,200*ones(1,size(PROFIT_CONS,1)),zeros(size(X)));

%DISPLAY

disp(X);

model: data: M=4; N=2; seed=1234567; enddata sets: rows/1..M/; cols/1..N/; table(rows,cols): X; endsets data: X=@qrand(seed); enddata end 这段代码是什么意思

这段代码是一个数学建模语言（如LINGO）的示例代码。它定义了一些数据和参数，并使用随机数生成器（@qrand）来填充一个名为X的二维表格。

具体来说，代码中的部分含义如下：

- `M=4; N=2; seed=1234567;` 定义了参数M为4，N为2和种子为1234567。
- `rows/1..M/;` 定义了一个名为rows的集合，包含了从1到M的整数。
- `cols/1..N/;` 定义了一个名为cols的集合，包含了从1到N的整数。
- `table(rows,cols): X;` 定义了一个名为X的二维表格，其行标签来自于rows集合，列标签来自于cols集合。
- `X=@qrand(seed);` 使用种子为1234567的随机数生成器填充了表格X。

总体上，这段代码用于生成一个4行2列的二维表格X，并使用指定的种子值生成随机数填充表格。具体的数值在运行时会根据随机数生成器的算法和种子值而不同。