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SOURCE: MathWorks. MatLAB External Interfaces R2025a
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Textbook in PDF format MatLAB provides interfaces to external routines written in other programming languages, data that needs to be shared with external routines, clients or servers communicating via Component Object Model (COM) or Dynamic Data Exchange (DDE), and peripheral devices that communicate directly with MatLAB. Much of this interface capability was formerly referred to under the title of the MatLAB Application Program Interface, or API. This book introduces the external interfaces that are available with MatLAB. It also contains numerous C and Fortran examples that highlight this functionality. MatLAB provides a flexible, two-way integration with other programming languages, allowing you to reuse legacy code. For a list of programming languages and the supported versions, see MatLAB Supported Interfaces to Other Languages. MatLAB provides these features to help you integrate C/C++ algorithms into your MatLAB applications. A C/C++ shared library interface is a collection of functions dynamically loaded by an application at run time. Using a shared library has the advantage of packaging multiple library functions into one interface. In addition, MatLAB manages data type conversions. Every installation of MatLAB includes Java Virtual Machine (JVM) software. To create and run programs that access Java objects, use the Java interpreter via MatLAB commands. From MatLAB, you can: Access Java class packages that support activities such as I/O and networking. Access third party Java classes. Construct Java objects in MatLAB workspace. Call Java object methods, using either Java or MatLAB syntax. Pass data between MatLAB variables and Java objects. You can access all standard Python library content from MatLAB. Likewise, you can use functionality in third-party or user-created modules. To call Python functionality directly from MatLAB, add the py. prefix to the name of the Python function that you want to call. To call content in the Python standard library, add py. in front of the Python function or class name. MatLAB also provides a way to run Python code in the Python interpreter directly from MatLAB. External Programming Languages and Systems External Data Interface (EDI) Using Java Libraries from MatLAB Read and Write MatLAB MAT-Files in C/C++ and Fortran Calling Functions in C++ Shared Libraries from MatLAB Calling Functions in C Shared Libraries from MatLAB Intro to MEX-Files C/C++ Fortran MEX Files C++ MEX Applications Fortran MEX File Calling MatLAB Engine from C/C++ and Fortran Programs Engine API for Java MatLAB Engine for Python Topics Engine API for C++ Using .NET Libraries from MatLAB Elements of a .NET Engine Program Using COM Objects from MatLAB MatLAB COM Client Support MatLAB COM Automation Server Support Using Web Services with MatLAB Python Interface Topics System Commands Settings MatLAB REST Function Service JSON Representation of MatLAB Data Types
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