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| Tim Roughgarden | ||||
| Soundlikeyourself Publishing | ||||
| 2016 | ||||
| English | ||||
| 216 pages | ||||
| 5.80 MB | ||||
[tab] [content title="Summary"] Here’s a rephrased version of your text: --- Algorithms are fundamental to computer science, serving as the backbone for a wide array of applications, including network routing, computational genomics, public-key cryptography, and machine learning. Studying algorithms enhances your programming skills, sharpens your critical thinking, and prepares you for technical interviews. **Algorithms Illuminated** offers an approachable introduction to the topic for those with some programming background. The focus is on gaining a broad understanding and conceptual clarity rather than delving into intricate implementation details or advanced mathematics—similar to a conversation with an expert algorithms tutor during a series of personalized lessons. Part 1 addresses asymptotic analysis and big-O notation, divide-and-conquer algorithms and the master method, randomized algorithms, as well as several well-known sorting and selection algorithms. --- Let me know if you need any changes or further assistance! [/content] [content title="Content"] [/content] [content title="Author(s)"] [/content] [/tab]
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