From 19c605b4179a375530416bf2ea4089d4fa5da95a Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Petr=20=C3=9Ajezdsk=C3=BD?= Date: Fri, 17 Jul 2026 15:14:16 +0200 Subject: [PATCH] Fixed typo in Book 3 Chapter 3.6, fixes #1744 --- books/RayTracingTheRestOfYourLife.html | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/books/RayTracingTheRestOfYourLife.html b/books/RayTracingTheRestOfYourLife.html index 214958db..bab0a465 100644 --- a/books/RayTracingTheRestOfYourLife.html +++ b/books/RayTracingTheRestOfYourLife.html @@ -1093,7 +1093,7 @@ This says _a random variable plucked from our PDF has a 25% chance of being 1 or lower_. We want a function $f(d)$ that takes a uniform distribution between 0 and 1 (_i.e_ `f(random_double())`), and returns a random value according to a distribution that has the CDF $P(x) = \frac{x^2}{4}$. We don’t -know yet know what the function $f(d)$ is analytically, but we do know that 25% of what it returns +know yet what the function $f(d)$ is analytically, but we do know that 25% of what it returns should be less than 1.0, and 75% should be above 1.0. Likewise, we know that 50% of what it returns should be less than $\sqrt{2}$, and 50% should be above $\sqrt{2}$. If $f(d)$ monotonically increases, then we would expect $f(0.25) = 1.0$ and $f(0.5) = \sqrt{2}$. This can be generalized to