这是按值传递还是按引用传递? 我用C++来使用CPLEX。最近,我在看下面的例子。然后我被填充函数弄糊涂了。它是按价值传递的,对吗?但为什么在主函数中创建的模型在执行填充函数后更新?它不应该还是空模型吗 // -------------------------------------------------------------- -*- C++ -*- // File: ilolpex1.cpp // Version 12.5 // -------------------------------------------------------------------------- // Licensed Materials - Property of IBM // 5725-A06 5725-A29 5724-Y48 5724-Y49 5724-Y54 5724-Y55 5655-Y21 // Copyright IBM Corporation 2000, 2012. All Rights Reserved. // // US Government Users Restricted Rights - Use, duplication or // disclosure restricted by GSA ADP Schedule Contract with // IBM Corp. // -------------------------------------------------------------------------- // // ilolpex1.cpp - Entering and optimizing a problem. Demonstrates different // methods for creating a problem. The user has to choose the method // on the command line: // // ilolpex1 -r generates the problem by adding rows // ilolpex1 -c generates the problem by adding columns // ilolpex1 -n generates the problem by adding a list of coefficients #include <ilcplex/ilocplex.h> ILOSTLBEGIN static void usage (const char *progname), populatebyrow (IloModel model, IloNumVarArray var, IloRangeArray con), populatebycolumn (IloModel model, IloNumVarArray var, IloRangeArray con), populatebynonzero (IloModel model, IloNumVarArray var, IloRangeArray con); int main (int argc, char **argv) { IloEnv env; try { IloModel model(env); if (( argc != 2 ) || ( argv[1][0] != '-' ) || ( strchr ("rcn", argv[1][1]) == NULL ) ) { usage (argv[0]); throw(-1); } IloNumVarArray var(env); IloRangeArray con(env); switch (argv[1][1]) { case 'r': populatebyrow (model, var, con); break; case 'c': populatebycolumn (model, var, con); break; case 'n': populatebynonzero (model, var, con); break; } IloCplex cplex(model); cplex.exportModel("lpex1.lp"); // Optimize the problem and obtain solution. if ( !cplex.solve() ) { env.error() << "Failed to optimize LP" << endl; throw(-1); } IloNumArray vals(env); env.out() << "Solution status = " << cplex.getStatus() << endl; env.out() << "Solution value = " << cplex.getObjValue() << endl; cplex.getValues(vals, var); env.out() << "Values = " << vals << endl; cplex.getSlacks(vals, con); env.out() << "Slacks = " << vals << endl; cplex.getDuals(vals, con); env.out() << "Duals = " << vals << endl; cplex.getReducedCosts(vals, var); env.out() << "Reduced Costs = " << vals << endl; } catch (IloException& e) { cerr << "Concert exception caught: " << e << endl; } catch (...) { cerr << "Unknown exception caught" << endl; } env.end(); return 0; } // END main static void usage (const char *progname) { cerr << "Usage: " << progname << " -X" << endl; cerr << " where X is one of the following options:" << endl; cerr << " r generate problem by row" << endl; cerr << " c generate problem by column" << endl; cerr << " n generate problem by nonzero" << endl; cerr << " Exiting..." << endl; } // END usage // To populate by row, we first create the variables, and then use them to // create the range constraints and objective. static void populatebyrow (IloModel model, IloNumVarArray x, IloRangeArray c) { IloEnv env = model.getEnv(); x.add(IloNumVar(env, 0.0, 40.0)); x.add(IloNumVar(env)); x.add(IloNumVar(env)); model.add(IloMaximize(env, x[0] + 2 * x[1] + 3 * x[2])); c.add( - x[0] + x[1] + x[2] <= 20); c.add( x[0] - 3 * x[1] + x[2] <= 30); x[0].setName("x1"); x[1].setName("x2"); x[2].setName("x3"); c[0].setName("c1"); c[1].setName("c2"); model.add(c); } // END populatebyrow // To populate by column, we first create the range constraints and the // objective, and then create the variables and add them to the ranges and // objective using column expressions. static void populatebycolumn (IloModel model, IloNumVarArray x, IloRangeArray c) { IloEnv env = model.getEnv(); IloObjective obj = IloMaximize(env); c.add(IloRange(env, -IloInfinity, 20.0, "c1")); c.add(IloRange(env, -IloInfinity, 30.0, "c2")); x.add(IloNumVar(obj(1.0) + c[0](-1.0) + c[1]( 1.0), 0.0, 40.0)); x.add(IloNumVar(obj(2.0) + c[0]( 1.0) + c[1](-3.0))); x.add(IloNumVar(obj(3.0) + c[0]( 1.0) + c[1]( 1.0))); x[0].setName("x1"); x[1].setName("x2"); x[2].setName("x3"); model.add(obj); model.add(c); } // END populatebycolumn // To populate by nonzero, we first create the rows, then create the // columns, and then change the nonzeros of the matrix 1 at a time. static void populatebynonzero (IloModel model, IloNumVarArray x, IloRangeArray c) { IloEnv env = model.getEnv(); IloObjective obj = IloMaximize(env); c.add(IloRange(env, -IloInfinity, 20.0)); c.add(IloRange(env, -IloInfinity, 30.0)); x.add(IloNumVar(env, 0.0, 40.0)); x.add(IloNumVar(env)); x.add(IloNumVar(env)); obj.setLinearCoef(x[0], 1.0); obj.setLinearCoef(x[1], 2.0); obj.setLinearCoef(x[2], 3.0); c[0].setLinearCoef(x[0], -1.0); c[0].setLinearCoef(x[1], 1.0); c[0].setLinearCoef(x[2], 1.0); c[1].setLinearCoef(x[0], 1.0); c[1].setLinearCoef(x[1], -3.0); c[1].setLinearCoef(x[2], 1.0); c[0].setName("c1"); c[1].setName("c2"); x[0].setName("x1"); x[1].setName("x2"); x[2].setName("x3"); model.add(obj); model.add(c); } // END populatebynonzero /-------------------------------------*-C++。 //文件:ilolpex1.cpp //版本12.5 // -------------------------------------------------------------------------- //许可材料-IBM的财产 //5725-A06 5725-A29 5724-Y48 5724-Y49 5724-Y54 5724-Y55 5655-Y21 //版权所有IBM Corporation 2000,2012。版权所有。 // //美国政府用户受限权利-使用、复制或 //GSA ADP计划合同限制的披露 //IBM公司。 // -------------------------------------------------------------------------- // //ilolpex1.cpp-输入并优化问题。表现出不同 //创建问题的方法。用户必须选择方法 //在命令行上: // //ilolpex1-r通过添加行来生成问题 //ilolpex1-c通过添加列来生成问题 //ilolpex1-n通过添加系数列表生成问题 #包括 伊洛斯特贝京 静态空隙 用法(常量字符*程序名), populatebyrow(IloModel模型、ILONumvarray变量、IloRangeArray变量), populatebycolumn(IloModel模型、ILONumvarray变量、IloRangeArray con), populatebynonzero(IloModel模型、ILONumvarray变量、IloRangeArray con); int 主(内部argc,字符**argv) { 伊洛恩温; 试一试{ IloModel模型(env); 如果((argc!=2)|| (argv[1][0]!='-')|| (strchr(“rcn”,argv[1][1])==NULL){ 用法(argv[0]); 投掷(-1); } IloNumVarArray var(环境); IloRangeArray con(环境); 开关(argv[1][1]){ 案例“r”: populatebyrow(模型、var、con); 打破 案例“c”: populatebycolumn(模型、变量、con); 打破 案例“n”: populatebynonzero(模型、var、con); 打破 } IloCplex-cplex(模型); cplex.exportModel(“lpex1.lp”); //优化问题并获得解决方案。 如果(!cplex.solve()){ env.error()

这是按值传递还是按引用传递? 我用C++来使用CPLEX。最近,我在看下面的例子。然后我被填充函数弄糊涂了。它是按价值传递的,对吗?但为什么在主函数中创建的模型在执行填充函数后更新?它不应该还是空模型吗 // -------------------------------------------------------------- -*- C++ -*- // File: ilolpex1.cpp // Version 12.5 // -------------------------------------------------------------------------- // Licensed Materials - Property of IBM // 5725-A06 5725-A29 5724-Y48 5724-Y49 5724-Y54 5724-Y55 5655-Y21 // Copyright IBM Corporation 2000, 2012. All Rights Reserved. // // US Government Users Restricted Rights - Use, duplication or // disclosure restricted by GSA ADP Schedule Contract with // IBM Corp. // -------------------------------------------------------------------------- // // ilolpex1.cpp - Entering and optimizing a problem. Demonstrates different // methods for creating a problem. The user has to choose the method // on the command line: // // ilolpex1 -r generates the problem by adding rows // ilolpex1 -c generates the problem by adding columns // ilolpex1 -n generates the problem by adding a list of coefficients #include <ilcplex/ilocplex.h> ILOSTLBEGIN static void usage (const char *progname), populatebyrow (IloModel model, IloNumVarArray var, IloRangeArray con), populatebycolumn (IloModel model, IloNumVarArray var, IloRangeArray con), populatebynonzero (IloModel model, IloNumVarArray var, IloRangeArray con); int main (int argc, char **argv) { IloEnv env; try { IloModel model(env); if (( argc != 2 ) || ( argv[1][0] != '-' ) || ( strchr ("rcn", argv[1][1]) == NULL ) ) { usage (argv[0]); throw(-1); } IloNumVarArray var(env); IloRangeArray con(env); switch (argv[1][1]) { case 'r': populatebyrow (model, var, con); break; case 'c': populatebycolumn (model, var, con); break; case 'n': populatebynonzero (model, var, con); break; } IloCplex cplex(model); cplex.exportModel("lpex1.lp"); // Optimize the problem and obtain solution. if ( !cplex.solve() ) { env.error() << "Failed to optimize LP" << endl; throw(-1); } IloNumArray vals(env); env.out() << "Solution status = " << cplex.getStatus() << endl; env.out() << "Solution value = " << cplex.getObjValue() << endl; cplex.getValues(vals, var); env.out() << "Values = " << vals << endl; cplex.getSlacks(vals, con); env.out() << "Slacks = " << vals << endl; cplex.getDuals(vals, con); env.out() << "Duals = " << vals << endl; cplex.getReducedCosts(vals, var); env.out() << "Reduced Costs = " << vals << endl; } catch (IloException& e) { cerr << "Concert exception caught: " << e << endl; } catch (...) { cerr << "Unknown exception caught" << endl; } env.end(); return 0; } // END main static void usage (const char *progname) { cerr << "Usage: " << progname << " -X" << endl; cerr << " where X is one of the following options:" << endl; cerr << " r generate problem by row" << endl; cerr << " c generate problem by column" << endl; cerr << " n generate problem by nonzero" << endl; cerr << " Exiting..." << endl; } // END usage // To populate by row, we first create the variables, and then use them to // create the range constraints and objective. static void populatebyrow (IloModel model, IloNumVarArray x, IloRangeArray c) { IloEnv env = model.getEnv(); x.add(IloNumVar(env, 0.0, 40.0)); x.add(IloNumVar(env)); x.add(IloNumVar(env)); model.add(IloMaximize(env, x[0] + 2 * x[1] + 3 * x[2])); c.add( - x[0] + x[1] + x[2] <= 20); c.add( x[0] - 3 * x[1] + x[2] <= 30); x[0].setName("x1"); x[1].setName("x2"); x[2].setName("x3"); c[0].setName("c1"); c[1].setName("c2"); model.add(c); } // END populatebyrow // To populate by column, we first create the range constraints and the // objective, and then create the variables and add them to the ranges and // objective using column expressions. static void populatebycolumn (IloModel model, IloNumVarArray x, IloRangeArray c) { IloEnv env = model.getEnv(); IloObjective obj = IloMaximize(env); c.add(IloRange(env, -IloInfinity, 20.0, "c1")); c.add(IloRange(env, -IloInfinity, 30.0, "c2")); x.add(IloNumVar(obj(1.0) + c[0](-1.0) + c[1]( 1.0), 0.0, 40.0)); x.add(IloNumVar(obj(2.0) + c[0]( 1.0) + c[1](-3.0))); x.add(IloNumVar(obj(3.0) + c[0]( 1.0) + c[1]( 1.0))); x[0].setName("x1"); x[1].setName("x2"); x[2].setName("x3"); model.add(obj); model.add(c); } // END populatebycolumn // To populate by nonzero, we first create the rows, then create the // columns, and then change the nonzeros of the matrix 1 at a time. static void populatebynonzero (IloModel model, IloNumVarArray x, IloRangeArray c) { IloEnv env = model.getEnv(); IloObjective obj = IloMaximize(env); c.add(IloRange(env, -IloInfinity, 20.0)); c.add(IloRange(env, -IloInfinity, 30.0)); x.add(IloNumVar(env, 0.0, 40.0)); x.add(IloNumVar(env)); x.add(IloNumVar(env)); obj.setLinearCoef(x[0], 1.0); obj.setLinearCoef(x[1], 2.0); obj.setLinearCoef(x[2], 3.0); c[0].setLinearCoef(x[0], -1.0); c[0].setLinearCoef(x[1], 1.0); c[0].setLinearCoef(x[2], 1.0); c[1].setLinearCoef(x[0], 1.0); c[1].setLinearCoef(x[1], -3.0); c[1].setLinearCoef(x[2], 1.0); c[0].setName("c1"); c[1].setName("c2"); x[0].setName("x1"); x[1].setName("x2"); x[2].setName("x3"); model.add(obj); model.add(c); } // END populatebynonzero /-------------------------------------*-C++。 //文件:ilolpex1.cpp //版本12.5 // -------------------------------------------------------------------------- //许可材料-IBM的财产 //5725-A06 5725-A29 5724-Y48 5724-Y49 5724-Y54 5724-Y55 5655-Y21 //版权所有IBM Corporation 2000,2012。版权所有。 // //美国政府用户受限权利-使用、复制或 //GSA ADP计划合同限制的披露 //IBM公司。 // -------------------------------------------------------------------------- // //ilolpex1.cpp-输入并优化问题。表现出不同 //创建问题的方法。用户必须选择方法 //在命令行上: // //ilolpex1-r通过添加行来生成问题 //ilolpex1-c通过添加列来生成问题 //ilolpex1-n通过添加系数列表生成问题 #包括 伊洛斯特贝京 静态空隙 用法(常量字符*程序名), populatebyrow(IloModel模型、ILONumvarray变量、IloRangeArray变量), populatebycolumn(IloModel模型、ILONumvarray变量、IloRangeArray con), populatebynonzero(IloModel模型、ILONumvarray变量、IloRangeArray con); int 主(内部argc,字符**argv) { 伊洛恩温; 试一试{ IloModel模型(env); 如果((argc!=2)|| (argv[1][0]!='-')|| (strchr(“rcn”,argv[1][1])==NULL){ 用法(argv[0]); 投掷(-1); } IloNumVarArray var(环境); IloRangeArray con(环境); 开关(argv[1][1]){ 案例“r”: populatebyrow(模型、var、con); 打破 案例“c”: populatebycolumn(模型、变量、con); 打破 案例“n”: populatebynonzero(模型、var、con); 打破 } IloCplex-cplex(模型); cplex.exportModel(“lpex1.lp”); //优化问题并获得解决方案。 如果(!cplex.solve()){ env.error(),c++,pass-by-reference,pass-by-value,cplex,C++,Pass By Reference,Pass By Value,Cplex,请参见ilocplex.h,可能IloModel被定义为指针。或手动状态下的“句柄” 我无法使用google轻松找到ilocplex.h。但我想这就是它的工作原理: struct ModelObj { int data1, data2, data3; } struct Model { ModelObj* obj; } 现在您可以将模型作为值传递,但仍然obj将指向参考。请检查: 头文件是否具有自定义的复制构造函数 类IloModel是基于指针的类型吗?就像exebook提到的那样

请参见ilocplex.h,可能IloModel被定义为指针。或手动状态下的“句柄”

我无法使用google轻松找到ilocplex.h。但我想这就是它的工作原理:

struct ModelObj {
   int data1, data2, data3;
}

struct Model {
   ModelObj* obj;
}
现在您可以将模型作为值传递,但仍然
obj
将指向参考。

请检查:

  • 头文件是否具有自定义的复制构造函数

  • IloModel
    是基于指针的类型吗?就像exebook提到的那样

  • 自定义副本构造函数的详细说明 您的代码是否具有自定义的复制构造函数,尤其是当类在堆中创建了一些数据字段时。请检查您的代码以了解类
    IloModel
    的定义

    • 如果没有自定义副本构造,则应按值传递模型类

    • 如果定义了自定义副本构造函数,并且只使用引用,则可以通过引用传递

    下面是一段代码,可以向您展示这种类型的构造函数是如何工作的:

    #include <string>
    #include <iostream>
    
    using namespace std;
    
    class person {
      public:
      std::string _name;
      int* _age_ptr; 
    
      person (const std::string& name, int age) {
        _name = name;
        _age_ptr = new int(age); 
      }
    
      person(const person& that) {  // The customized copy constructor
        _name = that._name;
        _age_ptr = that._age_ptr;
        cout << "run copy constructor" << endl;
      }
    
      void print() {
        cout << "name:" << _name <<", age:" << *_age_ptr << endl;
      }
    
    };
    
    person update_age( person that) {
      cout << "Set age tp 70" << endl;
      *that._age_ptr = 70;
      return that;
    }
    
    int main() {
      person a("Jim", 60);
      cout <<"Before update, a" << endl;
      a.print(); // Output: name:Jim, age 60
      cout << endl;
      person b = update_age(a);
      cout <<"After update, a" << endl;
      a.print(); // HERE Output: name:Jim, age 70
      cout << endl;
      cout <<"After update, b" << endl;                                                                       
      b.print();
      return 0;
    }
    
    #包括
    #包括
    使用名称空间std;
    班主任{
    公众:
    std::string _name;
    int*_age_ptr;
    person(const std::string&name,int age){
    _名称=名称;
    _年龄=新整数(年龄);
    }
    person(constperson&that){//自定义副本构造函数
    _name=那个;
    _年龄=那个;
    
    cout是的,这些类真的是“句柄”类-实际上只是围绕着一个好的旧指针的一些语法糖。原因是这样更容易使代码看起来更干净,而且它允许库对正在发生的事情保持更好的控制,而不仅仅是到处都允许指针,并且更容易做一些事情,比如确保在custo上分配对象例如,为了通过使用专门的内存管理来获得更好的性能,这些内存管理更了解它必须管理的对象的类型。自90年代末以来,我已经在许多项目中使用CPLEX,并用它教授了许多课程。如果做得对,它可以使代码更干净。就在您实现自己的自定义扩展时s您有时需要同时编写实现类和句柄类,这可能会让人感到困惑…

    我想知道是否有IBM员工监控此板…嗯,嗯。请确保。我说可能,因为我们不知道这些参数的类型。它们看起来确实像对象类型。它们可能是我提供的引用类型se,但既然你有了头,我们就不去看typedef,看看
    IloModel
    IloNumVarArray
    IloRangeArray
    是什么。我猜
    IloModel
    是一个围绕句柄的类包装器,提供了对可能是底层C API的方便调用。@paddy我也这么认为。它使e最有意义。将API对象包装在指针周围,并按值传递对象,每次复制都会得到相同的指针。它绝对不是指针类型,也不是
    model.add(obj);
    不会编译。这是另一回事。是的,但它的一个成员肯定是指针。类似于引用计数器类。使用给定的调用,
    model.add(obj)
    ,您可以得到“它的一个成员”关于
    model
    …如何?通常
    obj
    对您隐藏,您只处理
    model
    。这就是引用计数的工作方式。所有数据复制都是在必要时进行的,在其他情况下,只复制引用。我认为您试图描述paddy在一般聊天中的评论,如果是,我同意。如果不是,