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This book presents a consolidated survey of the vibrant field of research known as the theory of semi-feasible algorithms. This research stream perfectly showcases the richness of, and contrasts between, the central notions of complexity: running time, nonuniform complexity, lowness, and NP-hardness. Research into semi-feasible computation has already developed a rich set of tools, yet is young enough to have an abundance of fresh, open issues.
Being essentially self-contained, the book requires neither great mathematical maturity nor an extensive background in computational complexity theory or in computer science in general. Newcomers are introduced to the field systematically and guided to the frontiers of current research. Researchers already active in the field will appreciate the book as a valuable source of reference.
| Price | Condition | Delivery | Seller | Action |
| $99.99 | Digital |
| WonderClub |
Rick Fokkens
reviewed Theory Of Semi-Feasible Algorithms on June 21, 2013
Theory Of Semi-Feasible Algorithms
The first few sections focus on parsing and context-free grammars and the like, and so might be rough going for all of us who nearly flunked algebra (like me, cough). After that, there's a wealth of detail on everything from abstract syntax trees to garbage collected memory management. I found out after the fact that there's other editions of this book that use Java and ML instead of C, and that the original (using ML) is less painful to read because the code examples aren't cluttered with the kinds of memory management details that tend to litter C code. At first I regretted this, but in truth it isn't that big an obstacle, especially since I'm using LLVM by way of Python, and therefore relying on the book mostly for theory and not specific code examples.
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