Learn BINARY-LAMBDA-CALCULUS with Real Code Examples

Binary-encoded lambda expressions

Interpreter parses binary into abstract syntax tree

Evaluation via lambda calculus reduction

Memory model based on functional evaluation

Stateless functional computation

Binary-encoded lambda expressions parsed by interpreter

Evaluation via normal-order reduction

Functional application produces new expressions

Memory handled via functional reduction

Output generated via interpreter-defined I/O

Functional, stateless programming

Interpreter-driven execution

Binary representation as core design

Sequential reduction of expressions

Minimalist and esoteric architecture

Minimal arithmetic function implementations

Boolean logic computation

Recursive combinator-based functions

Algorithmic information experiments

Proof-of-concept research programs

Minimalism and compact representation

Functional purity and stateless computation

Binary encoding of lambda expressions

Turing-completeness with minimal syntax

Experimental and research-oriented

Programs inherently minimal, scale by expression complexity

Avoid overly deep recursion for practical testing

Focus on compactness over runtime efficiency

Use functional combinators for structured code

Apply for research and experimental purposes

Ensure compatibility with modern BLC interpreters

Refactor older programs to match updated binary encoding

Test combinator behavior after migration

Validate outputs with known examples

Document changes for reproducibility