GPU-Based Parallel Implementation of Swarm Intelligence Algorithms

This edition of GPU-Based Parallel Implementation of Swarm Intelligence Algorithms has approximately 256 pages. Please note, this is an estimate and the exact page count can vary between hardcover, paperback, and e-book versions.

For most readers, GPU-Based Parallel Implementation of Swarm Intelligence Algorithms typically takes between 5h 20m and 3h 33m to complete. This is based on the book's length of approximately 64,000 words and common reading speeds.

Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 4h 16m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 9 days • Estimated word count: 64,000 words

Your individual reading time will vary based on your personal reading pace, the amount of daily reading time, and your familiarity with the subject matter.

The estimated word count for GPU-Based Parallel Implementation of Swarm Intelligence Algorithms is approximately 64,000 words. This figure is calculated using industry-standard methods that consider genre-specific word density patterns, typical formatting and layout characteristics, and standard words-per-page ratios for published books.

This is an approximation — actual word count may vary based on font size, formatting, edition, and the presence of illustrations or charts.

GPU-Based Parallel Implementation of Swarm Intelligence Algorithms was written by Ying Tan.

The publication date for this specific edition is 2016. The original work may have been published on a different date.