By Feipeng Liu
A step by step instructional with greater than 60 concise recipes on Android NDK improvement skills.
• construct, debug, and profile Android NDK apps.
• enforce a part of Android apps in local C/C++ code.
• Optimize code functionality in meeting with Android NDK.
Building Android functions could frequently suggest that you just spend your whole time operating in Java. There are even though instances whilst this isn't the best or most sensible procedure for the applying being outfitted. this can be the place Android NDK comes in.
Android NDK permits the developer to put in writing in local C/C++, supplying you with the facility to reuse code and libraries and likewise, generally, raise the rate and potency of your application.
The Android local improvement package Cookbook can help you already know the improvement, construction, and debugging of your local Android functions. we'll detect and study JNI programming and crucial NDK APIs equivalent to OpenGL ES, and the local software API. we are going to then discover the method of porting latest libraries and software program to NDK. by way of the tip of this publication it is possible for you to to construct your personal apps in NDK apps.
Android local improvement equipment Cookbook starts with easy recipes that can assist you within the development and debugging of local apps, and JNI programming. The recipes conceal numerous themes of program improvement with Android NDK corresponding to OpenGL programming and Multimedia programming. we are going to start with an easy recipe, hi NDK, earlier than relocating directly to conceal complicated themes with recipes on OpenGL ES that concentrate on second and 3D images, in addition to recipes that debate operating with NDK and exterior APIs. when you are trying to find how you can make your software to be had in Android and take measures to spice up your application’s functionality, then this Cookbook is for you.
What you are going to research from this book
• boost Android apps in C/C++ with no unmarried line of Java.
• software 2D/3D snap shots with either OpenGL ES 1x and 2.0 in Android NDK.
• Write multi-threaded Android apps in Android NDK.
• Port present C/C++ libraries and purposes to Android with NDK.
• improve multimedia Android apps with Android NDK.
This ebook is written in a Cookbook kind, starting with recipes which specialise in supporting builders make their software/application on hand in Android.
Who this publication is written for
Android builders who are looking to research Android NDK programming, or strengthen multimedia and video games in Android NDK will take advantage of this e-book.
Read or Download Android Native Development Kit Cookbook PDF
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Additional resources for Android Native Development Kit Cookbook
Specifically,he can number the coinsfrom 1 to 16from left-to-right,and compute the sum of the even-index coins and the sum of the odd-index coins. Suppose the odd-index sum is larger. Then F can force5 to always selectan even-index coin by selectingthe odd-index coinswhen it is his own tum, ensuring that 5 cannot win. The same principle holds when the even-index sum is larger,or the sums are equal. 5on Page 447. Invariant analysis can be used with symmetry to solve very difficult problems, sometimes in less than intuitive ways.
Algorithms which are usually faster and/or Simpler to implement than algorithms which compute an optimum result, but may return a suboptimal result. 6on Page 393)is in this spirit. algorithm is to use eliminationthat is to identify and rule out potential solutions that are suboptimal or dominated by other solutions. Binary search, which is the subject of a number of problems in Chapter 11, uses elimination. 9on Page 267,where we use elimination to compute the square root of a real number, is especially instructive.
We want to map white to black cities in a one-to-one fashion so that the total length of the road sections required to connect paired cities is minimized. , if we have the pairing (0,4) and (1,2) then the section of road between Cities 0 and 4 can be used by Cities 1 and 2. The most straightforward greedy algorithm for this problem is to scan through the white cities, and, for each white city, pair it with the closest unpaired black city. It leads to suboptimum results: consider the case where white cities are at 0 and at 3 and black cities are at 2 and at 5.