In theoretical computer science, a problem or function is considered register computable if it can be computed by a register machine. This model of computation, introduced by accessors like Shepherdson and Sturgis, provides a formal definition for what can be computed.
Register machines operate using a finite set of registers, each capable of holding a non-negative integer. The computation proceeds through a sequence of simple instructions, such as incrementing a register, decrementing a register (if not zero), and conditional jumps based on register values.
The power of register machines lies in their ability to simulate any algorithm that can be expressed using basic arithmetic operations and control flow. They are Turing-complete, meaning they can compute precisely the same set of functions as Turing machines.
The concept of register computability is crucial for understanding the limits of computation and for proving the undecidability of certain problems. It forms a cornerstone of computability theory.
A common misconception is that register machines are less powerful than other computational models. However, their equivalence to Turing machines demonstrates their universal computational capacity for problems solvable by algorithms.
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