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1
Introduction
2
The Birthday Problem
3
Boundary Conditions
4
Birthday Function
5
Unique Birthday
6
Observations
7
Recap
8
Dinosaur Pee
9
Expected Value
10
Geometric Sum Formula
11
Sum a finite or infinite series
12
Plugging in inquiry symbols
13
Alternative facts and quotes
14
Timescale
15
Bird Model
16
Daily Rate
17
Compounding
18
Time Scales
19
Plugging in Numbers
20
The Result
21
Example
22
FloatingPoint Subtraction Algorithm
23
Summary
24
Discrete Probability
25
Lightning Speed
26
Precision
27
ExpectedValue
28
Symmetry
29
Distribution
30
Takeaways
31
Delirium
32
Dinosaur Steak
33
Questions
Description:
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore a lighthearted yet mathematically rigorous conference talk that delves into the intricacies of expressing probabilities as floating-point values in C++. Begin with a brief review of the birthday problem to illustrate potential numerical pitfalls in floating-point expressions. Then, tackle four humorous questions about the proportion of water on Earth that may have once been inside a dinosaur, using various scientific assumptions and mathematical approaches. Discover how to overcome representational barriers in floating-point calculations, especially when dealing with very low or high probabilities. Gain insights into the subtle differences between probability and expected value, and learn practical techniques for improving numerical precision in C++ programming.

Quantifying Dinosaur Pee - Expressing Probabilities as Floating-Point Values in C++ - Lecture

CppCon
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