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Continuous function

A function whose output changes arbitrarily little when its input changes arbitrarily little.

How 2 Manning books explain it

Geometry for Programmers

Continuity is the property of a function having no excluded domain points within its intended domain and no abrupt changes in value.

How it is used
Uses continuity to distinguish usable function behavior and model curves and surfaces in geometry.
How deep it goes
Defines continuity intuitively, contrasts domain gaps and jumps, and extends treatment through C1, C2, and C3 spline continuity without formal definition.
Examples
Uses sine, tangent, floor, polylines, and degree-varied NURBS to illustrate continuity and smoothness.
What you can do after
Evaluate whether functions and spline curves contain gaps, jumps, or stated levels of continuity.

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Deep Learning with R, Third Edition

Continuity is the property that sufficiently small changes in a function's input produce sufficiently small changes in its output.

How it is used
Explains why variational autoencoders learn latent spaces that support smooth image variation and manipulation.
How deep it goes
Defines continuity intuitively and connects it to latent sampling, stopping short of formal mathematical conditions.
Examples
Uses random latent sampling around an encoded image and shows the encoder-to-decoder transformation.
What you can do after
Evaluate why nearby latent points should decode to similar images in a variational autoencoder.

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Related concepts

These guides are generated from the text of Manning books by Manning's knowledge graph and link to the sections they draw on. The full books are available on liveBook and at manning.com.