Package pygeodesy :: Module fmath |
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# Module fmath

Precision floating point functions, utilities and constants.

Version: 20.03.14

Classes
| Fsum Precision summation similar to standard Python function `math.fsum`.
| Fdot Precision dot product.
| Fhorner Precision polynomial evaluation using the Horner form.
| Fpolynomial Precision polynomial evaluation.

Functions
hypot(x, y) Return the Euclidean distance, sqrt(x*x + y*y). |
acos1(x) Return math.acos(max(-1, min(1, x))). |
cbrt(x) Compute the cubic root x**(1/3). |
cbrt2(x) Compute the cubic root squared x**(2/3). |
favg(v1, v2, f=0.5) Return the weighted average of two values. |
fdot(a, *b) Return the precision dot product sum(a[i] * b[i] for i=0..len(a)). |
fdot3(a, b, c, start=0) Return the precision dot product start + sum(a[i] * b[i] * c[i] for i=0..len(a)). |
fhorner(x, *cs) Evaluate the polynomial sum(cs[i] * x**i for i=0..len(cs)) using the Horner form. |
fidw(xs, ds, beta=2) Interpolate using using Inverse Distance Weighting (IDW). |
fmean(xs) Compute the accurate mean sum(xs[i] for i=0..len(xs)) / len(xs). |
fpolynomial(x, *cs) Evaluate the polynomial sum(cs[i] * x**i for i=0..len(cs)). |
fpowers(x, n, alts=0) Return a series of powers [x**i for i=1..n]. |
fprod(iterable, start=1.0) Iterable product, like `math.prod` or `numpy.prod`. |
frange(start, number, step=1) Generate a range of `float`s. |
value |
freduce(function, sequence, initial=...) Apply a function of two arguments cumulatively to the items of a sequence, from left to right, so as to reduce the sequence to a single value. |
fsum_(*xs) Precision summation of the positional argument vulues. |
fsum(iterable) Return an accurate floating point sum of values in the iterable. |
hypot_(*xs) Compute the norm sqrt(sum(xs[i]**2)) for i=0..len(xs). |
hypot1(x) Compute the norm sqrt(1 + x**2). |
hypot2(x, y) Compute the norm squared x**2 + y**2. |
sqrt3(x) Compute the square root cubed sqrt(x)**3 or sqrt(x**3). |

Variables
| __all__ = `_ALL_LAZY.fmath`

Function Details

### cbrt(x) |
Compute the cubic root x**(1/3). Parameters: `x` - Value (`scalar`). Returns: Cubic root (`float`). See Also: Functions cbrt2 and sqrt3.

### cbrt2(x) |
Compute the cubic root squared x**(2/3). Parameters: `x` - Value (`scalar`). Returns: Cubic root squared (`float`). See Also: Functions cbrt and sqrt3.

### favg(v1, v2, f=0.5) |
Return the weighted average of two values. Parameters: `v1` - One value (`scalar`). `v2` - Other value (`scalar`). `f` - Optional fraction (`float`). Returns: v1 + f * (v2 - v1) (`float`).

### fdot(a, *b) |
Return the precision dot product sum(a[i] * b[i] for i=0..len(a)). Parameters: `a` - List, sequence, tuple, etc. (`scalar`s). `b` - All positional arguments (`scalar`s). Returns: Dot product (`float`). Raises: `ValueError` - Unequal `len(a)` and `len(b)`. See Also: Class Fdot.

### fdot3(a, b, c, start=0) |
Return the precision dot product start + sum(a[i] * b[i] * c[i] for i=0..len(a)). Parameters: `a` - List, sequence, tuple, etc. (`scalar`[]). `b` - List, sequence, tuple, etc. (`scalar`[]). `c` - List, sequence, tuple, etc. (`scalar`[]). `start` - Optional bias (`scalar`). Returns: Dot product (`float`). Raises: `OverflowError` - Partial `2sum` overflow. `ValueError` - Unequal `len(a)`, `len(b)` and/or `len(c)`.

### fhorner(x, *cs) |
Evaluate the polynomial sum(cs[i] * x**i for i=0..len(cs)) using the Horner form. Parameters: `x` - Polynomial argument (`scalar`). `cs` - Polynomial coeffients (`scalar`[]). Returns: Horner value (`float`). Raises: `OverflowError` - Partial `2sum` overflow. `TypeError` - Non-scalar `x`. `ValueError` - No `cs` coefficients or `x` is not finite. See Also: Function fpolynomial and class Fhorner.

### fidw(xs, ds, beta=2) |
Interpolate using using Inverse Distance Weighting (IDW). Parameters: `xs` - Known values (`scalar`[]). `ds` - Non-negative distances (`scalar`[]). `beta` - Inverse distance power (`int`, 0, 1, 2, or 3). Returns: Interpolated value `x` (`float`). Raises: `ValueError` - Invalid `beta`, negative `ds` value, weighted `ds` below EPS or unequal `len(ds)` and `len(xs)`. Note: Using `beta=0` returns the mean of `xs`.

### fmean(xs) |
Compute the accurate mean sum(xs[i] for i=0..len(xs)) / len(xs). Parameters: `xs` - Values (`scalar`s). Returns: Mean value (`float`). Raises: `OverflowError` - Partial `2sum` overflow. `ValueError` - No `xs` values.

### fpolynomial(x, *cs) |
Evaluate the polynomial sum(cs[i] * x**i for i=0..len(cs)). Parameters: `x` - Polynomial argument (`scalar`). `cs` - Polynomial coeffients (`scalar`[]). Returns: Polynomial value (`float`). Raises: `OverflowError` - Partial `2sum` overflow. `TypeError` - Non-scalar `x`. `ValueError` - No `cs` coefficients or `x` is not finite. See Also: Function fhorner and class Fpolynomial.

### fpowers(x, n, alts=0) |
Return a series of powers [x**i for i=1..n]. Parameters: `x` - Value (`scalar`). `n` - Highest exponent (`int`). `alts` - Only alternating powers, starting with this exponent (`int`). Returns: Powers of `x` (`float`[]). Raises: `TypeError` - Non-scalar `x` or `n` not `int`. `ValueError` - Non-finite `x` or non-positive `n`.

### fprod(iterable, start=1.0) |
Iterable product, like `math.prod` or `numpy.prod`. Parameters: `iterable` - Values to be multiplied (`scalar`[]). `start` - Initial product, also the value returned for an empty iterable (`scalar`). Returns: The product (`float`). See Also: NumPy.prod.

### frange(start, number, step=1) |
Generate a range of `float`s. Parameters: `start` - First value (`float`). `number` - The number of `float`s to generate (`int`). `step` - Increment value (`float`). Returns: A generator (`float`s). See Also: NumPy.prod.

### freduce(function, sequence, initial=...) |
Apply a function of two arguments cumulatively to the items of a sequence, from left to right, so as to reduce the sequence to a single value. For example, reduce(lambda x, y: x+y, [1, 2, 3, 4, 5]) calculates ((((1+2)+3)+4)+5). If initial is present, it is placed before the items of the sequence in the calculation, and serves as a default when the sequence is empty. Returns: value

### fsum_(*xs) |
Precision summation of the positional argument vulues. Parameters: `xs` - Values to be added (`scalar`[]). Returns: Accurate fsum (`float`). Raises: `OverflowError` - Partial `2sum` overflow. `TypeError` - Non-scalar `xs` value. `ValueError` - Invalid or non-finite `xs` value.

### fsum(iterable) |
Return an accurate floating point sum of values in the iterable. Assumes IEEE-754 floating point arithmetic.

### hypot_(*xs) |
Compute the norm sqrt(sum(xs[i]**2)) for i=0..len(xs). Parameters: `xs` - X arguments, positional (`scalar`[]). Returns: Norm (`float`). Raises: `OverflowError` - Partial `2sum` overflow. `ValueError` - Invalid or no `xs` value. See Also: Similar to Python 3.8+ math.hypot, but handling of exceptions, `nan` and `infinite` values is different. Note: The Python 3.8+ math.dist Euclidian distance between 2 n-dimensional points p1 and p2 can be computed as hypot_(*((c1 - c2) for c1, c2 in zip(p1, p2))), provided p1 and p2 have the same, non-zero length n.

### hypot1(x) |
Compute the norm sqrt(1 + x**2). Parameters: `x` - Argument (`scalar`). Returns: Norm (`float`).

### hypot2(x, y) |
Compute the norm squared x**2 + y**2. Parameters: `x` - Argument (`scalar`). `y` - Argument (`scalar`). Returns: `x**2 + y**2` (`float`).

### sqrt3(x) |
Compute the square root cubed sqrt(x)**3 or sqrt(x**3). Parameters: `x` - Value (`scalar`). Returns: Cubed square root (`float`). Raises: `ValueError` - Negative `x`. See Also: Functions cbrt and cbrt2.