In numerical analysis, computational physics, and simulation, discretization error (or truncation error) is error resulting from the fact that a function of a continuous variable is represented in the computer by a finite number of evaluations, for example, on a lattice. Discretization error can usually be reduced by using a more finely spaced lattice, with an increased computational cost.
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“It is error alone which needs the support of government. Truth can stand by itself.”
—Thomas Jefferson (17431826)