Annotated Algorithms in Python: with Applications in Physics, Biology, and Finance
Overview & Synopsis
This book is assembled from lectures given by the author over a period of 10 years at the School of Computing of DePaul University. The lectures cover multiple classes, including Analysis and Design of Algorithms, Scientific Computing, Monte Carlo Simulations, and Parallel Algorithms. These lectures teach the core knowledge required by any scientist interested in numerical algorithms and by students interested in computational finance.
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Document Information
| Document Title | Annotated Algorithms in Python: with Applications in Physics, Biology, and Finance |
|---|---|
| Author / Organization | Massimo Di Pierro |
| Subject & Discipline | Python Programming, Algorithms and Data Structures, Computational Complexity |
| Categories | Python Programming |
| ISBN | 0991160401 |
| License / Rights | Creative Commons License (CC) |
| Resource Verification | ✓ Verified Direct PDF Available |
| Alternative Mirrors & Links | |
| Original Host Website |
FreeComputerBooks.com
(freecomputerbooks.com)
|
| File Format | application/pdf (Portable Document Format) |
| Reported File Size | 3427.8 KB (3,510,032 bytes) |
| Language | ENGLISH |
| Catalog ID | DOC-259072 |
| Original Source Link | Visit Source Page on freecomputerbooks.com » |
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