Call MATLAB® functions from C++ using the feval and fevalAsync member functions of the matlab::engine::MATLABEngine
class. Use these functions when you want to pass function arguments from C++ to MATLAB and to return the result of the function execution to C++. These member functions work like the MATLAB
feval
function.
To call a MATLAB function:
Pass the function name as a matlab::engine::String
.
Define the input arguments required by the MATLAB function. You can use either native C++ data types or the MATLAB Data API. For more information, see MATLAB Data API.
Specify the number of outputs expected from the MATLAB function. One output is the default. For more information, see Call Function with Multiple Returned Arguments and Control Number of Outputs.
Define the appropriate returned type for the results of the MATLAB function.
Use stream buffers to redirect standard output and standard error from the MATLAB command window to C++. For more information, see Redirect MATLAB Command Window Output to C++
To evaluate MATLAB statements using variables in the MATLAB base workspace, use the matlab::engine::MATLABEngine
eval and evalAsync member functions. These functions enable you to create and use variables in the MATLAB workspace, but do not return values. For more information, see Evaluate MATLAB Statements from C++.
For information on how to setup and build C++ engine programs, see Build C++ Engine Programs.
This example uses the MATLAB
gcd
function to find the greatest common divisor of two numbers. The MATLABEngine::feval
member function returns the results of the gcd
function call.
Use the matlab::data::ArrayFactory
to create two scalar int16_t
arguments. Pass the arguments to MATLABEngine::feval
in a std::vector
.
#include "MatlabEngine.hpp" #include "MatlabDataArray.hpp" #include <iostream>
void callFevalgcd() { // Pass vector containing MATLAB data array scalar using namespace matlab::engine; // Start MATLAB engine synchronously std::unique_ptr<MATLABEngine> matlabPtr = startMATLAB(); // Create MATLAB data array factory matlab::data::ArrayFactory factory; // Pass vector containing 2 scalar args in vector std::vector<matlab::data::Array> args({ factory.createScalar<int16_t>(30), factory.createScalar<int16_t>(56) }); // Call MATLAB function and return result matlab::data::TypedArray<int16_t> result = matlabPtr->feval(u"gcd", args); int16_t v = result[0]; std::cout << "Result: " << v << std::endl; }
You can call MATLABEngine::feval
using native C++ types. To do so, you must specify the returned type with the call to MATLABEngine::feval
as:
feval<type>(...)
For example, the returned type is int
here:
int cresult = matlabPtr->feval<int>(u"gcd", 30, 56);
This example defines a matlab::data::TypedArray
to pass an array of type double
to the MATLAB
sqrt
function. Because one of the numbers in the array is negative, MATLAB returns a complex array as the result. Therefore, define the returned type as a matlab::data::TypedArray<std::complex<double>>
.
#include "MatlabDataArray.hpp" #include "MatlabEngine.hpp" #include <iostream>
void callFevalsqrt() { // Call MATLAB sqrt function on array using namespace matlab::engine; // Start MATLAB engine synchronously std::unique_ptr<MATLABEngine> matlabPtr = startMATLAB(); // Create MATLAB data array factory matlab::data::ArrayFactory factory; // Define a four-element array matlab::data::TypedArray<double> const argArray = factory.createArray({ 1,4 }, { -2.0, 2.0, 6.0, 8.0 }); // Call MATLAB function matlab::data::TypedArray<std::complex<double>> const results = matlabPtr->feval(u"sqrt", argArray); // Display results int i = 0; for (auto r : results) { double a = argArray[i++]; double realPart = r.real(); double imgPart = r.imag(); std::cout << "Square root of " << a << " is " << realPart << " + " << imgPart << "i" << std::endl; } }
It is safe to use a matlab::data::Array
for returned types when calling MATLAB functions. For example, you can write the previous example using a matlab::data::Array
for the returned value.
void callFevalsqrt() { // Call MATLAB sqrt function on array using namespace matlab::engine; // Start MATLAB engine synchronously std::unique_ptr<MATLABEngine> matlabPtr = startMATLAB(); // Create MATLAB data array factory matlab::data::ArrayFactory factory; // Define a four-element array matlab::data::Array const argArray = factory.createArray({ 1,4 }, { -2.0, 2.0, 6.0, 8.0 }); // Call MATLAB function matlab::data::Array results = matlabPtr->feval(u"sqrt", argArray); // Display results for (int i = 0; i < results.getNumberOfElements(); i++) { double a = argArray[i]; std::complex<double> v = results[i]; double realPart = v.real(); double imgPart = v.imag(); std::cout << "Square root of " << a << " is " << realPart << " + " << imgPart << std::endl; } }
Some MATLAB functions accept optional name-value pair arguments. The names are character arrays and the values can be any type of value. Use a std::vector
to create a vector of arguments containing the names and values in correct sequence.
This sample code calls the MATLAB
movsum
function to compute the three-point centered moving sum of a row vector, discarding endpoint calculations. This function call requires these arguments:
Numeric array
Scalar window length
Name-value pair consisting of the character arrays Endpoint
and discard
Here is the equivalent MATLAB code:
A = [4 8 6 -1 -2 -3 -1 3 4 5]; M = movsum(A,3,'Endpoints','discard');
Pass the arguments to MATLABEngine::feval
as a std::vector
containing these arguments for the MATLAB function. Create each argument using the matlab::data::ArrayFactory
.
void callFevalmovsum() { //Pass vector containing various types of arguments using namespace matlab::engine; // Start MATLAB engine synchronously std::unique_ptr<MATLABEngine> matlabPtr = startMATLAB(); // Create MATLAB data array factory matlab::data::ArrayFactory factory; // Create a vector of input arguments std::vector<matlab::data::Array> args({ factory.createArray<double>({ 1, 10 }, { 4, 8, 6, -1, -2, -3, -1, 3, 4, 5 }), factory.createScalar<int32_t>(3), factory.createCharArray("Endpoints"), factory.createCharArray("discard") }); // Call MATLAB function matlab::data::TypedArray<double> const result = matlabPtr->feval(u"movsum", args); // Display results int i = 0; for (auto r : result) { std::cout << "results[" << i++ << "] = " << r << std::endl; } }
This example calls the MATLAB
conv
function to multiply two polynomials. After calling MATLABEngine::fevalAsync
, use FutureResult::get
to get the result from MATLAB.
#include "MatlabDataArray.hpp" #include "MatlabEngine.hpp" #include <iostream>
static void callFevalAsync() { //Call MATLAB functions asynchronously using namespace matlab::engine; // Start MATLAB engine synchronously std::unique_ptr<MATLABEngine> matlabPtr = startMATLAB(); // Create MATLAB data array factory matlab::data::ArrayFactory factory; // Create input argument arrays std::vector<matlab::data::Array> args({ factory.createArray<double>({ 1, 3 },{ 1, 0, 1 }), factory.createArray<double>({ 1, 2 },{ 2, 7 }) }); String func(u"conv"); // Call function asnychronously FutureResult<matlab::data::Array> future = matlabPtr->fevalAsync(func, args); // Get results matlab::data::TypedArray<double> results = future.get(); // Display results std::cout << "Coefficients: " << std::endl; for (auto r : results) { std::cout << r << " " << std::endl; } }
This sample code uses the MATLAB
gcd
function to find the greatest common divisor and Bézout coefficients from the two numeric values passes as inputs. The gcd
function can return either one or three arguments, depending on how many outputs the function call requests. In this example, the call to the MATLAB
gcd
function returns three outputs.
By default, MATLABEngine::feval
assumes that the number of returned values is one. Therefore, you must specify the actual number of returned values as the second argument to MATLABEngine::feval
.
In this example, MATLABEngine::feval
returns a std::vector
containing the three results of the gcd
function call. The returned values are scalar integers.
#include "MatlabDataArray.hpp" #include "MatlabEngine.hpp" #include <iostream>
void multiOutput() { //Pass vector containing MATLAB data array array using namespace matlab::engine; // Start MATLAB engine synchronously std::unique_ptr<MATLABEngine> matlabPtr = startMATLAB(); std::cout << "Started MATLAB Engine" << std::endl; //Create MATLAB data array factory matlab::data::ArrayFactory factory; //Create vector of MATLAB data array arrays std::vector<matlab::data::Array> args({ factory.createScalar<int16_t>(30), factory.createScalar<int16_t>(56) }); //Call gcd function, get 3 outputs const size_t numReturned = 3; std::vector<matlab::data::Array> result = matlabPtr->feval(u"gcd", numReturned, args); //Display results for (auto r : result) { std::cout << "gcd output: " << int16_t(r[0]) << std::endl; } }
You can use native C++ types when calling MATLAB functions. MATLABEngine::feval
and MATLABEngine::fevalAsync
accept certain scalar C++ types passed as MATLAB function arguments. To pass arrays and other types to MATLAB functions, use the MATLAB Data API. For more information on this API, see MATLAB Data API.
This example uses int16_t
values as inputs and a std::tuple
to return the results from the MATLAB
gcd
function.
Here is the equivalent MATLAB code.
[G,U,V] = gcd(int16(30),int16(56));
#include "MatlabEngine.hpp" #include <iostream> #include <tuple>
void multiOutputTuple() { //Return tuple from MATLAB function call using namespace matlab::engine; // Start MATLAB engine synchronously std::unique_ptr<MATLABEngine> matlabPtr = startMATLAB(); //Call MATLAB gcd function std::tuple<int16_t, int16_t, int16_t> nresults; nresults = matlabPtr->feval<std::tuple<int16_t, int16_t, int16_t>> (u"gcd", int16_t(30), int16_t(56)); // Display results int16_t G; int16_t U; int16_t V; std::tie(G, U, V) = nresults; std::cout << "GCD : " << G << ", " << "Bezout U: " << U << ", " << "Bezout V: " << V << std::endl; }
For specific information on member function syntax, see matlab::engine::MATLABEngine
.
MATLAB functions can behave differently depending on the number of outputs requested. Some functions can return no outputs or a specified number of outputs.
For example, the MATLAB
pause
function holds execution for a specified number of seconds. However, if you call pause
with an output argument, it returns immediately with a status value without pausing.
pause(20) % Pause for 20 seconds
state = pause(20); % No pause, return pause state
This example calls pause
without assigning an output. With void
output specified, MATLAB pauses execution for 20 seconds.
#include "MatlabEngine.hpp"
void voidOutput() { // No output from feval using namespace matlab::engine; // Start MATLAB engine synchronously std::unique_ptr<MATLABEngine> matlabPtr = startMATLAB(); // Call pause function with no output matlabPtr->feval<void>(u"pause", 20); }
This call to MATLABEngine::feval
uses the signature that defines the MATLAB function arguments as a std::vector<matlab::data::Array>
. Without assigning an output argument, MATLAB pauses execution for 20 seconds.
#include "MatlabDataArray.hpp" #include "MatlabEngine.hpp"
void zeroOutput() { // No output from feval using namespace matlab::engine; // Start MATLAB engine synchronously std::unique_ptr<MATLABEngine> matlabPtr = startMATLAB(); //Create MATLAB data array factory matlab::data::ArrayFactory factory; // Call pause function with no output matlab::data::Array arg = factory.createScalar<int16_t>(20); const size_t numReturned = 0; matlabPtr->feval(u"pause", numReturned, { arg }); }
The MATLAB
clock
function returns the current date and time as a date vector. If you assign two outputs, clock
returns the second output as a Boolean value indicating if it is Daylight Saving Time in the system time zone.
This example calls the clock
function with one output or two outputs, depending on the value of an input argument. The second argument passed to the call to MATLABEngine::feval
determines how many outputs to request from clock
.
Call MATLABEngine::feval
with these arguments.
Inputs
MATLAB function name | const matlab::engine::String |
Number of outputs | const size_t |
Input arguments for MATLAB function (empty) | std::vector<matlab::data::Array> |
Outputs
All outputs | std::vector<matlab::data::Array> |
#include "MatlabDataArray.hpp" #include "MatlabEngine.hpp" #include <iostream>
void varOutputs(const bool tZone) { using namespace matlab::engine; // Start MATLAB engine synchronously std::unique_ptr<MATLABEngine> matlabPtr = startMATLAB(); std::cout << "Started MATLAB Engine" << std::endl; // Define number of outputs size_t numReturned(0); if (tZone) { numReturned = 2; } else { numReturned = 1; } std::vector<matlab::data::Array> dateTime = matlabPtr->feval(u"clock", numReturned, { }); matlab::data::Array dateVector = dateTime[0]; // Display results for (int i = 0; i < 6; i++) { std::cout << double(dateVector[i]) << " "; } if (tZone) { matlab::data::Array DTS = dateTime[1]; if (bool(DTS[0])) { std::cout << "It is Daylight Saving Time" << std::endl; } else { std::cout << "It is Standard Time" << std::endl; } } }
matlab::data::ArrayFactory
| matlab::engine::MATLABEngine