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Linear system

A linear system is a set of linear relationships among variables, commonly expressed as simultaneous equations or a linear transformation, for which superposition applies.

How 2 Manning books explain it

Geometry for Programmers

A linear system is a collection of linear equations whose variables must satisfy all equations simultaneously.

How it is used
Frames geometric and engineering problems as simultaneous equations that can be visualized and solved.
How deep it goes
Develops definitions, hyperplane geometry, solution cases, matrix operations, solver choices, and a SymPy workflow.
Examples
Uses the two-trains intersection, ray–triangle intersection, and symbolic arc-to-line construction.
What you can do after
Apply it via SymPy or selected solver methods to formulate and solve small geometric problems.

Read how Geometry for Programmers explains linear system →

Math and Architectures of Deep Learning

A set of linear equations considered together, typically represented in matrix form and solved for unknown variables.

How it is used
Models equations for solving unknown parameters in machine learning and linear algebra.
How deep it goes
Defines matrix form, exact and approximate solving, singularity, and SVD-based alternatives.
Examples
Uses toy training data, repeated equations, and overdetermined systems as concrete cases.
What you can do after
Apply pseudo-inverse or SVD to solve exact, approximate, or nonsquare systems.

Read how Math and Architectures of Deep Learning explains linear system →

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.