cplx_argument_principle — MATH complex op

数据种类:cpoints × cpointsmeasurement

调用:import mathops; mathops.cplx_argument_principle(z, fz)(或 opsmath.get("cplx_argument_principle"))

用法

辐角原理:仅凭 `f` 的采样值,数出围道内零点数减去极点数。

> 以下的详细说明为原文 —— 摘要与标题已翻译。

`Z - P = 1/(2*pi*i) ∮ f'/f dz` equals the winding number of the **image

curve** `f(z)` around the origin (Cauchy 1831 / Riemann): as the contour

is traversed once counter-clockwise, the argument of `f` increases by

`2*pi (Z - P)`, counting multiplicities. Computing it as a winding number

of the image needs no derivative and no root finding — only `f` sampled

on the path — and returns an exact integer.

Honest limitations, all of them real:

• It returns the difference `Z - P`, never the two separately. A

simple zero and a simple pole inside cancel to 0.

• The result is multiplied by the winding number of the contour itself,

so it equals `Z - P` only for a simple, positively-oriented

contour (a clockwise one returns `-(Z - P)`).

• It is the winding of the *sampled* image polygon, so it aliases low

on a coarse contour. A half-turn jump between samples is detected and

raised; anything below that is indistinguishable from a genuine slower

turn — `f = z**5` on a 4-point circle returns 1, not 5 (measured).

A `RuntimeWarning fires from pi/2` per step onward

(:data:WIND_ALIAS_WARN); the verification that actually works is to

double `n` until the count repeats.

Raises `ValueError: f` vanishes at a sample point (a zero *on*

the path — the count is undefined there), the image curve is undersampled

(a half-turn between consecutive samples: refine the contour), plus the

usual shape/finiteness contracts.

HALCON: no operator.

该族通用的输入契约(fail-closed)

mathops 的每个算子都先校验输入再计算(不让任何东西无声通过):

• **complex 输入一律 ValueError** —— 强制转成 float64 会无声丢掉虚部(numpy 只发一个 ComplexWarning,然后返回一个「看着合理却是错的」实数)。请显式写出 .real/.imag/abs(),或改用支持复数的 complexops。

• **含被掩元素的 masked array 一律 ValueError** —— 拒绝「剥掉掩码直接使用下面原值」的隐式转换。请显式选择填充还是丢弃。

• **所有输入中的 NaN/Inf 一律 ValueError**(明确给出个数后拒绝 —— 它会污染整个结果)。

形状严格:不对 1-D 与 2-D 做隐式提升或广播(向量槽位收到矩阵、矩阵槽位收到向量都是 ValueError;请显式 reshape)。

尺寸上限:接受矩阵的算子与 stat_histogram 的 bins,超过 mathops.MAX_ELEMENTS(2^26 ≈ 6700 万个元素)即 ValueError

详细使用指南

math_metrology 族使用指南

参考(示例数据・文献)

• 示例数据目录(下载 URL / 许可证) —— 2-D 用 skimage.data(BSD/公有领域)加合成图,3-D 给出真实数据源(Stanford/PDS 等)的下载 URL。

• 算子来历与参考文献 —— 该算子族所依据的研究/方法出处。

• 算法的正典(作者・年份)与用途见上面的族使用指南

可运行的示例(实际调用该算子并已验证的样例)

math_complexpy -3.11 examples/math_complex.py

类型可衔接的下一个算子(可接受 measurement 作为输入)

同类别(complex)

cplx_contour_circle · cplx_poly_eval · cplx_contour_integral · cplx_winding_number · cplx_cauchy_value · cplx_laurent_coeffs · cplx_joukowski · cplx_mobius


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© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.