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|a 1801074623
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|a Soshnikov, Dmitry
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|a Garbage Collection Algorithms
|h [electronic resource]
|c Soshnikov, Dmitry
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|a 1st edition
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260 |
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|b Packt Publishing
|c 2021
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300 |
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|a 1 video file, approximately 2 hr., 32 min.
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|a Vidéo en continu
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|a Vidéos sur Internet
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|a streaming video / aat
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|a Internet videos / http://id.loc.gov/authorities/subjects/sh2007001612
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|a Streaming video / http://id.loc.gov/authorities/subjects/sh2005005237
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|a eng
|2 ISO 639-2
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|b OREILLY
|a O'Reilly
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|a Mode of access: World Wide Web
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|a Made available through: Safari, an O'Reilly Media Company
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|z 9781801074629
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|u https://learning.oreilly.com/videos/~/9781801074629/?ar
|x Verlag
|3 Volltext
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|a E VIDEO
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|a Understand the underlying theory behind automatic memory management and garbage collection. About This Video Learn about various GC algorithms, such as Mark-Compact collector and Reference counting collector Identify the difference between tracing and direct collectors Learn about Tri-color abstraction and marking In Detail Memory leaks and dangling pointers are the main issues of manual memory management. If you delete a parent node in a linked list, forgetting to delete all its children first-your memory is leaking. You delete an object chain in the correct order but suddenly, your program crashes since you forgot about the second owner of this resource, which now tries to dereference a null-pointer. To avoid these issues, most modern high-level programming languages implement automatic memory management. You allocate objects manually; however, don't bother with their deallocation: a special program, garbage collector, knows how to automatically deallocate them correctly and reclaim for future reuse. In this course, we'll study all the different techniques and algorithms related to automatic memory management, which are used today in practice
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