The D01 type exposes the following members.
Methods
| Name | Description | |||
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| d01ah | d01ah computes a definite integral over a finite range to a specified relative accuracy using a method described by Patterson.
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| d01aj | d01aj is a general purpose integrator which calculates an approximation to the integral of a function
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| d01ak | d01ak is an adaptive integrator, especially suited to oscillating, nonsingular integrands, which calculates an approximation to the integral of a function
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| d01al | d01al is a general purpose integrator which calculates an approximation to the integral of a function
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| d01am | d01am calculates an approximation to the integral of a function
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| d01an | d01an calculates an approximation to the sine or the cosine transform of a function
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| d01ap | d01ap is an adaptive integrator which calculates an approximation to the integral of a function
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| d01aq | d01aq calculates an approximation to the Hilbert transform of a function
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| d01ar | d01ar computes definite and indefinite integrals over a finite range to a specified relative or absolute accuracy, using the method described in Patterson (1968).
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| d01as | d01as calculates an approximation to the sine or the cosine transform of a function
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| d01bc | d01bc returns the weights (normal or adjusted) and abscissae for a Gaussian integration rule with a specified number of abscissae. Six different types of Gauss rule are allowed.
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| d01bd | d01bd calculates an approximation to the integral of a function over a finite interval
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| d01da | d01da attempts to evaluate a double integral to a specified absolute accuracy by repeated applications of the method described by Patterson (1968) and Patterson (1969).
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| d01fc | d01fc attempts to evaluate a multi-dimensional integral (up to
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| d01gd | d01gd calculates an approximation to a definite integral in up to
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| d01gy | ||||
| d01gz | ||||
| d01ja | d01ja attempts to evaluate an integral over an
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| d01pa | d01pa returns a sequence of approximations to the integral of a function over a multi-dimensional simplex, together with an error estimate for the last approximation.
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