Expression tree
An expression tree is a hierarchical data structure whose nodes represent the operations, operands, functions, and values of an expression.
Evolutionary Deep Learning: Genetic algorithms and neural networks
An expression tree is a hierarchical data structure whose nodes represent operators, functions, or values in a mathematical or executable expression.
- How it is used
- Represents evolved equations or executable routines so genetic programming can compile and score candidate solutions.
- How deep it goes
- Explains node types, arity, sequence-to-tree mapping, compilation, and fitness, without formal tree algorithms.
- Examples
- Uses a numerical regression equation, an evolved linear function, and an ant-navigation control routine.
- What you can do after
- Apply DEAP or Geppy to define primitives, compile evolved trees, evaluate fitness, simplify functions, and visualize results.
Building Web APIs with ASP.NET Core
An expression tree is a tree-structured representation of code expressions that can be inspected, transformed, or translated by a query provider.
- How it is used
- Uses IQueryable<T> and LINQ to represent board-game queries before translating and executing them against SQL Server.
- How deep it goes
- Explains construction and deferred execution, but stops short of expression-tree internals or provider implementation.
- Examples
- Demonstrates board-game filtering, ordering, SQL translation, and ToArray() execution.
- What you can do after
- Apply it via LINQ and IQueryable<T> to compose database queries and execute them when results are needed.
Read how Building Web APIs with ASP.NET Core explains expression tree →
Related concepts
- IQueryableproduced by · IQueryable is a .NET interface representing a queryable data source whose expression trees can be translated and executed by a provider.
- PrimitiveSetconfigured by · PrimitiveSet is a genetic-programming configuration object that defines the primitives, arguments, and input symbols available to evolved expressions.
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