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Garbage Collection: Algorithms for Automatic Dynamic Memory Management
Garbage collection eliminates many of these bugs.
Garbage Collection: Algorithms for Automatic Dynamic Memory Management
Item #: 83061405

Garbage Collection: Algorithms for Automatic Dynamic Memory Management

Item #: 83061405

AUD 139

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What Stands Out

Comprehensive Coverage
Delivers an in-depth exploration of garbage collection algorithms, catering to both beginners and experienced developers in dynamic memory management.
Algorithm Diversity
Explains various algorithms, allowing readers to choose optimal garbage collection methods tailored to specific programming environments and use cases.
Practical Insights
Includes practical examples and case studies, helping users implement theoretical concepts effectively in real-world applications and enhancing understanding.

Product Details

Shop Garbage Collection: Algorithms for Automatic Dynamic Memory Management online at a best price in Kiribati. 0471941484
Publisher Wiley
Publication date August 23, 1996
Edition 1st
Language English
Print length 416 pages
ISBN-10 0471941484
ISBN-13 978-0471941484
Item Weight 2.15 pounds (980 grams)
Dimensions 7.74 x 1.15 x 9.41 inches (19.7 x 2.9 x 23.9 cm)

Who Should Buy?

Suitable For
  • Computer Science Students

    Ideal for students learning about memory management techniques and algorithms in their coursework or research.

  • Software Developers

    Beneficial for developers looking to implement efficient memory management strategies in their applications or systems.

  • Researchers

    Valuable resource for researchers focusing on advancements and innovations in garbage collection and memory management technologies.

Not Suitable For
  • Casual Readers

    Not suitable for general readers looking for light reading or practical guidance unrelated to programming or memory management.

Product Description

Garbage Collection: Algorithms for Automatic Dynamic Memory Management

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Memory Management Editorial Review

**** "Garbage Collection: Algorithms for Automatic Dynamic Memory Management" emerges as a significant contribution to the understanding of garbage collection (GC) algorithms, displaying both depth and clarity. The book is organized in a structured manner, beginning with an introductory chapter that sets the stage for readers, followed by a comprehensive survey of various algorithms. Each algorithm is meticulously dissected, examining their intricacies, variants, trade-offs, and historical contexts, all supported by extensive references to scholarly literature. One of the notable features is the use of pseudo-code rather than a specific programming language. Many readers find this approach advantageous, as it strips away the complexities of language syntax, focusing instead on the algorithmic concepts themselves. This methodological clarity allows both novice and experienced readers to grasp even intricate ideas without being bogged down by coding language specifics. However, some readers did express a desire for a more accessible pseudo-code, indicating that the current representation could benefit from enhancements. The book is unequivocally well-written, showcasing a strong command of English, making it an engaging read. Despite its strengths, some reviewers voiced concerns regarding its datedness, noting that it primarily references older functional programming languages like Lisp and ML, with little attention given to contemporary advancements such as Java or .NET. This absence is particularly felt in light of changes in hardware and increasing importance of concurrency in programming. While the book is commendable for its thoroughness, it is clearly geared toward system programmers and those intending to dive deep into GC algorithms, which may render it less suitable for average developers focused on application development. Despite this specificity, many readers found that the knowledge gleaned from this book proved invaluable—even for those who may not need to deal with GC directly, as understanding these underlying principles can enhance performance tuning in garbage-collected environments. In summary, "Garbage Collection" provides a robust foundation in garbage collection algorithms, making it a vital read for anyone involved in system programming or high-performance system development. **

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Pros

  • Comprehensive coverage of GC algorithms with in-depth analysis.
  • Clear writing style and structured organization.
  • Use of pseudo-code enhances algorithmic understanding without language syntax.
  • Excellent introductory and survey chapters for foundational knowledge.
  • Valuable for performance tuning and understanding behind-the-scenes processes of garbage collection.

Cons

  • Dated references primarily to older programming languages and hardware.

Product Price History

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