New PDF release: A branch-and-cut method for 0-1 mixed convex programming

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By Stubbs R. A.

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Extra info for A branch-and-cut method for 0-1 mixed convex programming

Sample text

We will see an example of this in the Manipulating classes in JNI recipe in this chapter. ff Registering Native Methods: JNI can automatically discover the native method implementation if its function name follows a specific naming convention as mentioned in Chapter 1, Hello NDK. This is not the only way. In our sample project, we explicitly called the RegisterNatives JNI function to register the native methods. The RegisterNatives function has the following prototype: jint RegisterNatives(JNIEnv *env, jclass clazz, const JNINativeMethod *methods, jint nMethods); The clazz argument is a reference to the class in which the native method is to be registered.

The execution result shown earlier proves that the Java code can invoke the two registered native methods successfully. Note that this example uses some JNI features that we're going to cover in later recipes, including the FindClass function and field descriptors. It is alright if don't fully understand the code at this stage. You can always go back to it after learning more about those topics. Passing parameters and receiving returns in primitive types Java code can pass parameters to native methods and receive the processing results returned.

After the download is complete, run the installation package and make sure that the UNIX Development option is selected for installation. As usual, Java JDK 6 or above is required. Mac OS X usually ships with a full JDK. We can verify that your machine has the required version by using the following command: $javac -version How to do it… Setting up an Android NDK development environment on Mac OS X is similar to setting it up on Ubuntu Linux. The following steps explain how we can do this: 1. Follow steps 1 to 6 of the Setting up an Android NDK development environment in Windows recipe to install the ADT plugin for Eclipse.

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A branch-and-cut method for 0-1 mixed convex programming by Stubbs R. A.


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