Prerequisite chain

Prerequisites for DeepONet

Topics you need before working through DeepONet. Direct prerequisites are listed first; transitive prerequisites (the chain reachable through them) follow.

Direct prerequisites (2)

Spectral Theory of Operatorslayer 0B, tier 3
Fourier Neural Operatorlayer 3, tier 2

Reachable through the chain (19)

These topics are not directly cited as prerequisites but are reached transitively by following the chain upward. Working through the direct prerequisites pulls these in.

Eigenvalues and Eigenvectorslayer 0A, tier 1
Matrix Operations and Propertieslayer 0A, tier 1
Sets, Functions, and Relationslayer 0A, tier 1
Basic Logic and Proof Techniqueslayer 0A, tier 2
Linear Independencelayer 0A, tier 1
Vectors, Matrices, and Linear Mapslayer 0A, tier 1
Inner Product Spaces and Orthogonalitylayer 0A, tier 1
Matrix Normslayer 0A, tier 1
Complex Numbers for Fourierlayer 0A, tier 2
Functional Analysis Corelayer 0B, tier 2
Metric Spaces, Convergence, and Completenesslayer 0A, tier 1
Measure-Theoretic Probabilitylayer 0B, tier 1
Cardinality and Countabilitylayer 0A, tier 2
Integration and Change of Variableslayer 0A, tier 2
Kolmogorov Probability Axiomslayer 0A, tier 1
Random Variableslayer 0A, tier 1
Zermelo-Fraenkel Set Theorylayer 0A, tier 2
Fast Fourier Transformlayer 1, tier 2
Exponential Function Propertieslayer 0A, tier 1