Using Lambdas in C++: Listing 3

A Fibonacci generator functor.

// A Fibonacci generator functor
class GenerateFibonacci
{
private:
  int penultimate_, last_;
public:
  // Function object constructor.
  // penultimate_(0) initializes a private member
  // penultimate_ with 0, last_ with 1.
  GenerateFibonacci() : penultimate_(0), last_(1) {};
 
  int operator()();
  {
    // in the Fibonacci series, every element is the sum of its two predecessors 
    int current = penultimate_ + last_;

    penultimate_ = last_;
    // current is returned, prior to be assigned to last_ for the next iteration
    return last_ = current;
  }
};

// this C-like function prints odd parameters, skips even ones.
void printIfOdd(int n)
{
  if (n%2)
    cout << n << " is odd." << endl;
}

int main()
{
  // a list of 20 integers
  list<int> l(20);

  // the standard library generate() algorithm iterates from the beginning of the list
  // to its end, initializing each position with its corresponding Fibonacci series
  // element.
  generate(begin(l), end(l), GenerateFibonacci());

  // the for_each() standard library algorithm iterates through the list, printing its
  // odd elements (1, 3, 5, 13, 21, 55, ...)
  for_each(begin(l), end(l), printIfOdd);

  return 0;
}

About the Author

Diego Dagum is a software architect and developer with more than 20 years of experience. He can be reached at [email protected].

comments powered by Disqus

Featured

  • IDE Irony: Coding Errors Cause 'Critical' Vulnerability in Visual Studio

    In a larger-than-normal Patch Tuesday, Microsoft warned of a "critical" vulnerability in Visual Studio that should be fixed immediately if automatic patching isn't enabled, ironically caused by coding errors.

  • Building Blazor Applications

    A trio of Blazor experts will conduct a full-day workshop for devs to learn everything about the tech a a March developer conference in Las Vegas keynoted by Microsoft execs and featuring many Microsoft devs.

  • Gradient Boosting Regression Using C#

    Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the gradient boosting regression technique, where the goal is to predict a single numeric value. Compared to existing library implementations of gradient boosting regression, a from-scratch implementation allows much easier customization and integration with other .NET systems.

  • Microsoft Execs to Tackle AI and Cloud in Dev Conference Keynotes

    AI unsurprisingly is all over keynotes that Microsoft execs will helm to kick off the Visual Studio Live! developer conference in Las Vegas, March 10-14, which the company described as "a must-attend event."

  • Copilot Agentic AI Dev Environment Opens Up to All

    Microsoft removed waitlist restrictions for some of its most advanced GenAI tech, Copilot Workspace, recently made available as a technical preview.

Subscribe on YouTube