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FilledSmallSquareNSum[f, i, imin, imax] gives a numerical approximation to the sum .

FilledSmallSquareNSum[f, i, imin, imax, di] uses a step di in the sum.

FilledSmallSquareNSum can be used for sums with both finite and infinite limits.

FilledSmallSquareNSum[f, i, ... , j, ... , ... ] can be used to evaluate multidimensional sums.

FilledSmallSquare The following options can be given:

FilledSmallSquareNSum uses either the Euler-Maclaurin (Integrate) or Wynn epsilon (Fit) method.

FilledSmallSquare With the Euler-Maclaurin method, the options AccuracyGoal and PrecisionGoal can be used to specify the accuracy and precision to try and get in the final answer. NSum stops when the error estimates it gets imply that either the accuracy or precision sought has been reached.

FilledSmallSquare You should realize that with sufficiently pathological summands, the algorithms used by NSum can give wrong answers. In most cases, you can test the answer by looking at its sensitivity to changes in the setting of options for NSum.

FilledSmallSquareVerifyConvergence is only used for sums with infinite limits.

FilledSmallSquareN[Sum[ ... ]] calls NSum.

FilledSmallSquareNSum has attribute HoldAll.

FilledSmallSquare See The Mathematica Book: Section 1.6.2, Section 3.9.1 and Section 3.9.4.

FilledSmallSquare Implementation Notes: see section A.9.4.

FilledSmallSquare See also: NProduct.

FilledSmallSquare Related packages: NumericalMath`ListIntegrate`, NumericalMath`NLimit`.

Further Examples