Monte Carlo Simulation: The Art of Random Process Characterization
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There are many textbooks devoted to the theory behind Monte Carlo methods. More often than not, these are heavy on theory and light on example. Rarely do they include the examples in their entirety, mostly presenting the final results in summary form. The aim of this text is to be light on theory and heavy on example. Each example is included in its entirety: input, output, and source code or spreadsheet. If you work through all the examples, you should be able to simulate whatever process is needed.


Publication date: March 15, 2018
Language: English
File size: 5087 KB
Simultaneous device usage: Unlimited
Text to Speech: Enabled
Screen Reader: Supported
Enhanced typesetting: Enabled
X Ray: Not Enabled
Word Wise: Not Enabled
Sticky notes: On Kindle Scribe
Print length: 124 pages