Random Walk Simulation - Ml Typing CST Test
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Random Walk Simulation — Ml Code
Simulates a 1D random walk.
val steps = 10;
val _ = ref 0;
val pos = ref 0;
for i = 1 to steps do (
if Random.rand() < 0.5 then pos := !pos + 1 else pos := !pos - 1;
print(Int.toString(!pos) ^ "\n");
);Ml Language Guide
ML (Meta Language) is a functional programming language known for its strong static type system, type inference, and pattern matching capabilities. It emphasizes immutability, recursion, and expressive type-safe programming, making it ideal for symbolic computation, theorem proving, and compiler development.
Primary Use Cases
- ▸Compiler and interpreter development
- ▸Theorem proving and formal verification
- ▸Symbolic computation
- ▸Algorithm prototyping
- ▸Academic research and teaching functional programming
Notable Features
- ▸Strong static typing with type inference
- ▸Pattern matching for control flow
- ▸Immutable data structures by default
- ▸First-class functions and higher-order functions
- ▸Module and functor system for abstraction
Origin & Creator
ML was developed in the early 1970s by Robin Milner and colleagues at the University of Edinburgh as a metalanguage for the LCF theorem prover.
Industrial Note
ML influenced many functional languages like OCaml, F#, and Haskell. It is still used in formal methods, compiler construction, and language research.