Eps

Q: How deeply does Rust in Action: Systems programming concepts and techniques cover eps?

Demonstrates absolute-difference comparison and type-specific constants, but does not develop broader tolerance strategies.

As explained in Rust in Action: Systems programming concepts and techniques

Floating-point epsilon is a small tolerance used to assess whether a computed value is sufficiently close to an expected mathematical result.

Floating-point epsilon is a small tolerance for deciding whether a computed value is close enough to its expected mathematical result. Exact equality can fail because floating-point values are represented with limited precision. section 2.3.3

Compare with a tolerance

Instead of asserting that 0.1 + 0.1 exactly equals 0.2, calculate the absolute difference and compare it with f32::EPSILON: let result: f32 = 0.1 + 0.1; let desired: f32 = 0.2; let absolute_difference = (desired - result).abs(); assert!(absolute_difference <= f32::EPSILON); Rust provides f32::EPSILON and f64::EPSILON for the two floating-point types. section 2.3.3

The suitable tolerance depends on the floating-point type and calculation. Inspecting bit patterns shows that equivalent-looking f32 and f64 operations can produce different results; epsilon comparisons address this precision problem rather than making values mathematically exact. section 2.3.3

How Rust in Action: Systems programming concepts and techniques covers it

Cover of Rust in Action: Systems programming concepts and techniques

liveBook manning.com

Read Rust in Action: Systems programming concepts and techniques on liveBook Get the book at manning.com

Related concepts

DBSCANconfigures · DBSCAN is a density-based clustering algorithm that groups observations in dense regions and identifies observations in lower-density regions as noise or outliers.
AdaGradused by · AdaGrad is an adaptive optimization algorithm that adjusts each parameter’s learning rate using the historical accumulation of its squared gradients.
OPTICSconfigures · OPTICS is a density-based clustering algorithm that orders points and computes reachability distances to reveal cluster structure across varying density thresholds.
dataset splitconfigures · A dataset split is the division of a dataset into distinct subsets assigned different purposes, such as training, validation, or testing.

This explainer was generated by Manning's knowledge graph from the text of Rust in Action: Systems programming concepts and techniques. The section links point to the parts of the book it draws on.