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Artikal br.:
205286014
Algorithms Algorithms: Advanced Data Structures for Algorithms, Book 3, (Paperback)
Artikal br.:
205286014
BAM 82
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Detalji o proizvodu
- Are you studying data science and want to take your learning further ? Data structures are an integral part of data science, machine learning, and algorithms, all aimed at solving programming challenges that might seem insurmountable at the outset. Advanced Data Structures for Algorithms builds on your current knowledge, taking your learning much deeper and teaching you how to solve even the trickiest of challenges. This book has been divided into four parts: Part One covers advanced lists, including: - An overview of linked lists- Doubly linked lists- XOR linked lists- Self-organizing lists- Unrolled linked listsPart Two covers trees, including: - Segment trees- Trie trees- Fenwick trees- AVL trees- Red-black trees- Scapegoat trees- Treap- N-aryPart Three discusses disjoint sets or Union-finds, as they are sometimes knownPart Four covers heaps and priority queues, including: - A brief discussion on binary heaps- Binomial heaps- Fibonacci heaps- Leftist heaps- K-ary heaps- Iterative heapsortsYou'll find plenty of code examples to help you make sense of things and common-sense explanations. If you want to advance your knowledge of data structures for algorithms you are in the right place.
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | May, 2023 |
| Pages | 226 |
| Subgenre | Programming |
| Series title | Algorithms |
| Number in series | 3 |
| Edition | 1 |
| Publisher | Ladoo Publishing LLC |
| Original languages | English |
| Language | English |
| Edu focus | Mathematics |
| Educational level | Higher |
| Is collectible | N |
| Retail packaging | Single Piece |
| Assembled product height | 9 in (22.9 cm) |
| Assembled product weight | 0.68 lb (310 grams) |
| Bisac subject heading | Computers |
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Algorithms Algorithms: Advanced Data Structures for Algorithms, Book 3, (Paperback)
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Karakteristike i prednosti
- Dive deep into advanced data structures essential for data science and machine learning.
- Learn to solve complex programming challenges with confidence.
- Explore various types of linked lists, trees, and disjoint sets.
- Understand heaps and priority queues in a simplified manner.
- Get practical experience through numerous code examples and explanations.
- Perfect for those looking to enhance their understanding of algorithms.
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