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| Acknowledgments | ||
| Mathematical Facts | ||
| Preface | ||
| 1 | From Formula to Program | 1 |
| 2 | Numerical Exploration | 25 |
| 3 | Elementary Graphics | 49 |
| 4 | Sequences | 75 |
| 5 | Random Simulations | 89 |
| 6 | Fast, Faster, Fastest | 103 |
| 7 | Exponential Growth | 115 |
| 8 | Patterns | 137 |
| 9 | Proximity | 161 |
| 10 | Roots | 181 |
| 11 | Area | 201 |
| 12 | Encoding Information | 215 |
| 13 | Visualization | 235 |
| 14 | Points in the Plane | 259 |
| 15 | Tables | 287 |
| 16 | Divisors | 317 |
| 17 | The Second Dimension | 331 |
| 18 | Polygons | 359 |
| 19 | Special Arithmetics | 385 |
| 20 | Polynomials | 405 |
| 21 | Permutations | 423 |
| 22 | Optimization | 449 |
| 23 | Divide and Conquer | 475 |
| 24 | Models and Simulation | 499 |
| Appendix I | Synopsis of Think Pascal Units | 529 |
| Index | 555 |
| Price | Condition | Delivery | Seller | Action |
| $99.99 | Digital |
| WonderClub |
Andy Kurniawan
reviewed Introduction to Computational Science and Mathematics on January 02, 2014
Introduction to Computational Science and Mathematics
In comparison to "Introduction to Algorithms" (the other algorithm book I had significant exposure to) this one is faster to read, easier to digest and more tailored towards applications.
I found the "Hitchhiker's Guide to Algorithms" in the back to be extremely useful if you really find yourself tackling an algorithmic problem in practice.
The main part (maybe skipping/skimming down a few chapters) is a very good preparation for algorithm-heavy job interviews (e.g. Google, Facebook etc ...).
Very much recommended.
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