Symbol kappa
kappa is part of the quantity the equation computes from the expression on the right.
Read this term in its guide →Published equation contexts
Numerical analysis has always run on an analogous verification principle, just usually informal: an error bound is only useful if it is derived from and checkable against a stated model of arithmetic. The classical example is the sensitivity of a linear system to input error, captured by the condition number of a matrix A : . If is large, small errors in the input data or in floating-point rounding can produce large errors in the computed solution, independent of which algorithm is used to solve the system — a property of the problem, not the solver. Bringing formal verification to numerical software means proving that an implementation’s actual rounding behavior…
kappa is part of the quantity the equation computes from the expression on the right.
Read this term in its guide →A is an argument of the function-like quantity on the left; its role is set by that function’s stated inputs.
Read this term in its guide →1 is one of the signed contributions combined to compute the quantity on the left.
Read this term in its guide →Read it with the definitions, units, and assumptions supplied by the article.
A symbol can carry a different meaning in another article. Each occurrence keeps its own guide and term definitions.
Equation 6 · Mathematics
This equation states an equality: the expressions on both sides have the same value under the article’s assumptions.
Numerical analysis has always run on an analogous verification principle, just usually informal: an error bound is only useful if it is derived from and checkable against a stated model of arithmetic. The classical example is the sensitivity of a linear system to input error, captured by the condition number of a matrix A : . If is large, small errors in the input data or in floating-point rounding can produce large errors in the computed solution, independent of which algorithm is used to solve the system — a property of the problem, not the solver. Bringing formal verification to numerical software means proving that an implementation’s actual rounding behavior…
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