package javaCplex;
import ilog.concert.*;
import ilog.cplex.*;
public class jCplex {
  public static void main(String[] args) {
    // TODO Auto-generated method stub
    double[] lb = { 0.0, 0.0, 0.0};
    double[] ub = { 40.0, Double.MAX_VALUE, Double.MAX_VALUE};
    try {
      IloCplex cplex = new IloCplex();    
      IloNumVar[] x = cplex.numVarArray(3, lb, ub);
      double[] objvals = { 1.0, 2.0, 3.0 };
      cplex.addMaximize(cplex.scalProd(x, objvals));
      cplex.addLe(cplex.sum(cplex.prod(-1.0, x[0]), cplex.prod(1.0, x[1]), cplex.prod(1.0,
          x[2])), 20);
      cplex.addLe(cplex.sum(cplex.prod(1.0, x[0]), cplex.prod(-3.0, x[1]), cplex.prod(1.0,
          x[2])), 30);
      if (cplex.solve()) {
        cplex.output().println("Solution status = " + cplex.getStatus());
        cplex.output().println("Solution value = " + cplex.getObjValue());
        double[] val = cplex.getValues(x);
        int ncols = cplex.getNcols();
        for (int j = 0; j < ncols; ++j)
          cplex.output().println("Column: " + j + " Value = " + val[j]);
      }
      cplex.end();
    } catch (IloException e) {
      System.err.println("Concert exception '" + e + "' caught");
    }
  }
}

java.lang.UnsatisfiedLinkError: ....\cplex\bin\x86_win32\cplex1261.dll: Can't load IA 32-bit .dll on a AMD 64-bit platform
java.library.path must point to the directory containing the CPLEX shared library
try invoking java with java -Djava.library.path=...
Exception in thread "main" java.lang.UnsatisfiedLinkError: ilog.cplex.Cplex.CPXopenCPLEX([I)J
    at ilog.cplex.Cplex.CPXopenCPLEX(Native Method)
    at ilog.cplex.CplexI.init(CplexI.java:6608)
    at ilog.cplex.CplexI.<init>(CplexI.java:629)
    at ilog.cplex.IloCplex.<init>(IloCplex.java:10194)
    at ilog.cplex.IloCplex.<init>(IloCplex.java:10209)
    at javaCplex.jCplex.main(jCplex.java:12)

% 清除工作区
clear;clc;close all;
% 创建决策变量
x = sdpvar(1,3);
%创建约束
C = [
        -x(1) + x(2) + x(3) <= 20
        x(1) - 3 * x(2) + x(3) <= 30
        0 <= x(1) <= 40
    ];
% 配置
ops = sdpsettings('verbose',0);
% 目标函数
z = -(x(1) + 2 * x(2) + 3 * x(3)); % 注意这是求解最大值，默认是求最小值，所以要加上负号
% 求解
reuslt = optimize(C,z);
if reuslt.problem == 0 % problem =0 代表求解成功
    value(x)
    -value(z)   % 反转
else
    disp('求解出错');
end

import cplex
help(cplex)

# -*- coding: utf-8 -*-
import cplex
from cplex.exceptions import CplexError
# data common to all populateby functions
my_obj = [1.0, 2.0, 3.0]
my_ub = [40.0, cplex.infinity, cplex.infinity]
my_lb = [0.0, 0.0, 0.0]
my_ctype = "CCC"
my_colnames = ["x1", "x2", "x3"]
my_rhs = [20.0, 30.0]
my_rownames = ["r1", "r2"]
my_sense = "LL"
def populatebyrow(prob):
    prob.objective.set_sense(prob.objective.sense.maximize)
    prob.variables.add(obj=my_obj, lb=my_lb, ub=my_ub, types=my_ctype,
                       names=my_colnames)
    rows = [[["x1", "x2", "x3"], [-1.0, 1.0, 1.0]],
            [["x1", "x2", "x3"], [1.0, -3.0, 1.0]]
            ]
    prob.linear_constraints.add(lin_expr=rows, senses=my_sense,
                                rhs=my_rhs, names=my_rownames)
try:
    my_prob = cplex.Cplex()
    handle = populatebyrow(my_prob)
    my_prob.solve()
except CplexError as exc:
    print(exc)
print()
# solution.get_status() returns an integer code
print("Solution status = ", my_prob.solution.get_status(), ":")
# the following line prints the corresponding string
print(my_prob.solution.status[my_prob.solution.get_status()])
print("Solution value  = ", my_prob.solution.get_objective_value())
numcols = my_prob.variables.get_num()
numrows = my_prob.linear_constraints.get_num()
slack = my_prob.solution.get_linear_slacks()
x = my_prob.solution.get_values()
print('x: ')
print(x)