By Kouichi Matsuda, Rodger Lea
You’ll research step by step, via sensible examples, construction your abilities as you progress from basic to advanced suggestions for development visually attractive web content and 3D purposes with WebGL. Media, 3D portraits, and WebGL pioneers Dr. Kouichi Matsuda and Dr. Rodger Lea provide easy-to-understand tutorials on key points of WebGL, plus a hundred downloadable pattern courses, every one demonstrating a particular WebGL topic.
You’ll movement from uncomplicated thoughts equivalent to rendering, animating, and texturing triangles, the entire approach to complex concepts akin to fogging, shadowing, shader switching, and showing 3D types generated via Blender or different authoring instruments. This e-book won’t simply educate you WebGL top practices, it is going to offer you a library of code to jumpstart your personal projects.
• WebGL’s beginning, center strategies, gains, merits, and integration with different net standards
• How <canvas> and easy WebGL capabilities interact to convey 3D graphics
• Shader improvement with OpenGL ES Shading Language (GLSL ES)
• 3D scene drawing: representing consumer perspectives, controlling house quantity, clipping, item construction, and perspective
• attaining larger realism via lights and hierarchical objects
• complex concepts: item manipulation, heads-up monitors, alpha mixing, shader switching, and more
• invaluable reference appendixes masking key concerns starting from coordinate platforms to matrices and shader loading to net browser settings
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Creating a new project Let's see how exactly to arrive at the equivalent Java source code from Clojure. Create a new project using Leiningen: lein new foo. class files, run the lein compile :all command. class files. class files is as simple as opening them using the JD-GUI application. core/mul function is an instance of the core$mul class in the foo package extending the clojure. AFunction class. We can also see that the argument types are of the Object type in method invoke(Object, Object), which implies the numbers will be boxed.
Some Clojure operations over collections, such as map, filter, and more are intentionally lazy. Laziness simply means that the value is not computed until actually required. Once the value is computed, it is cached so that any future reference to the value need not re-compute it. The caching of the value is called memoization. Laziness and memoization often go hand in hand. [ 21 ] Clojure Abstractions Laziness in data structure operations Laziness and memoization together form an extremely useful combination to keep the single-threaded performance of functional algorithms comparable to its imperative counterparts.
V (f)) (inc idx)))))) Performance miscellanea Besides the major abstractions we saw earlier in the chapter, there are other smaller, but nevertheless very performance-critical, parts of Clojure that we will see in this section. Disabling assertions in production Assertions are very useful to catch logical errors in the code during development, but they impose a runtime overhead that you may like to avoid in the production environment. Since assert is a compile time variable, the assertions can be silenced either by binding assert to false or by using alter-var-root before the code is loaded.