Algorithm analysis under uniform-cost RAM predicts practical performance on real systems better than Turing machine analysis, which counts symbol manipulations irrelevant to execution.

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Algorithm analysis(as used in computer science): The process of studying how efficient a step-by-step procedure (algorithm) is, usually by counting how many operations it needs to solve a problem.
Symbol manipulation(in philosophy of mind): Moving symbols around according to mechanical rules without understanding what those symbols mean—like a computer following instructions without comprehension.
Turing machine(Computability theory): A formal computational model defined to study the notion of computation, containing elementary arithmetic and capable of expressing universality, negation, and self-reference
Uniform-cost RAM(as used in computer science): A simplified model of a computer that assumes every basic operation (like adding two numbers) takes the same amount of time, matching how real computers actually work.

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