| | |
- builtins.object
-
- BicubicSpline
- BorderFlag
- CubicSpline
- Interpolator
-
- CompoundInterpolator
- SimpleInterpolator
- LinearFunction
- Point
- PolycubicSpline
- SplineGenerator
- TricubicSpline
- interp_range
class BicubicSpline(builtins.object) |
| | |
Methods defined here:
- Clone(...) from builtins.PyCapsule
- Clone(rosetta.numeric.interpolation.spline.BicubicSpline) -> rosetta.numeric.interpolation.spline.BicubicSpline
copy constructor
- F(...) from builtins.PyCapsule
- F(*args, **kwargs)
Overloaded function.
1. F(self : rosetta.numeric.interpolation.spline.BicubicSpline, ARGUMENTS : rosetta.numeric.MathVector_double_t) -> float
value at (x, y)
2. F(self : rosetta.numeric.interpolation.spline.BicubicSpline, x : float, y : float) -> float
value at (x, y)
- FdF(...) from builtins.PyCapsule
- FdF(self : rosetta.numeric.interpolation.spline.BicubicSpline, ARGUMENTS : rosetta.numeric.MathVector_double_t) -> (float, rosetta.numeric.MathVector_double_t)
value and derivative at (x, y)
- __init__(...) from builtins.PyCapsule
- __init__(*args, **kwargs)
Overloaded function.
1. __init__(rosetta.numeric.interpolation.spline.BicubicSpline) -> NoneType
2. __init__(self : rosetta.numeric.interpolation.spline.BicubicSpline, : rosetta.numeric.interpolation.spline.BicubicSpline) -> NoneType
- __new__(*args, **kwargs) from builtins.type
- Create and return a new object. See help(type) for accurate signature.
- assign(...) from builtins.PyCapsule
- assign(self : rosetta.numeric.interpolation.spline.BicubicSpline, : rosetta.numeric.interpolation.spline.BicubicSpline) -> rosetta.numeric.interpolation.spline.BicubicSpline
- dFdx(...) from builtins.PyCapsule
- dFdx(*args, **kwargs)
Overloaded function.
1. dFdx(self : rosetta.numeric.interpolation.spline.BicubicSpline, ARGUMENTS : rosetta.numeric.MathVector_double_t) -> float
partial derivative at (x, y) for x
2. dFdx(self : rosetta.numeric.interpolation.spline.BicubicSpline, x : float, y : float) -> float
partial derivative at (x, y) for x
- dFdy(...) from builtins.PyCapsule
- dFdy(*args, **kwargs)
Overloaded function.
1. dFdy(self : rosetta.numeric.interpolation.spline.BicubicSpline, ARGUMENTS : rosetta.numeric.MathVector_double_t) -> float
partial derivative at (x, y) for y
2. dFdy(self : rosetta.numeric.interpolation.spline.BicubicSpline, x : float, y : float) -> float
partial derivative at (x, y) for y
- get_dsecox(...) from builtins.PyCapsule
- get_dsecox(rosetta.numeric.interpolation.spline.BicubicSpline) -> rosetta.numeric.MathMatrix_double_t
- get_dsecoxy(...) from builtins.PyCapsule
- get_dsecoxy(rosetta.numeric.interpolation.spline.BicubicSpline) -> rosetta.numeric.MathMatrix_double_t
- get_dsecoy(...) from builtins.PyCapsule
- get_dsecoy(rosetta.numeric.interpolation.spline.BicubicSpline) -> rosetta.numeric.MathMatrix_double_t
- get_values(...) from builtins.PyCapsule
- get_values(rosetta.numeric.interpolation.spline.BicubicSpline) -> rosetta.numeric.MathMatrix_double_t
get the second order derivatives of the spline
- sqr(...) from builtins.PyCapsule
- sqr(self : rosetta.numeric.interpolation.spline.BicubicSpline, x : float) -> float
|
class CompoundInterpolator(Interpolator) |
| | |
- Method resolution order:
- CompoundInterpolator
- Interpolator
- builtins.object
Methods defined here:
- __eq__(...) from builtins.PyCapsule
- __eq__(self : rosetta.numeric.interpolation.spline.CompoundInterpolator, other : rosetta.numeric.interpolation.spline.Interpolator) -> bool
- __init__(...) from builtins.PyCapsule
- __init__(handle) -> NoneType
- __new__(*args, **kwargs) from builtins.type
- Create and return a new object. See help(type) for accurate signature.
- add_range(...) from builtins.PyCapsule
- add_range(self : rosetta.numeric.interpolation.spline.CompoundInterpolator, interp : rosetta.numeric.interpolation.spline.Interpolator, lb : float, ub : float) -> NoneType
- assign(...) from builtins.PyCapsule
- assign(self : rosetta.numeric.interpolation.spline.CompoundInterpolator, : rosetta.numeric.interpolation.spline.CompoundInterpolator) -> rosetta.numeric.interpolation.spline.CompoundInterpolator
- deserialize(...) from builtins.PyCapsule
- deserialize(self : rosetta.numeric.interpolation.spline.CompoundInterpolator, data : rosetta.std.map_std_string_utility_json_spirit_Value_impl_utility_json_spirit_Config_map_std_string_t) -> NoneType
deserialize a json_spirit object to a Interpolator
- interpolate(...) from builtins.PyCapsule
- interpolate(self : rosetta.numeric.interpolation.spline.CompoundInterpolator, x : float, y : float, dy : float) -> NoneType
- same_type_as_me(...) from builtins.PyCapsule
- same_type_as_me(self : rosetta.numeric.interpolation.spline.CompoundInterpolator, other : rosetta.numeric.interpolation.spline.Interpolator) -> bool
- serialize(...) from builtins.PyCapsule
- serialize(rosetta.numeric.interpolation.spline.CompoundInterpolator) -> rosetta.utility.json_spirit.Value_impl_utility_json_spirit_Config_vector_std_string_t
serialize the Interpolator to a json_spirit object
Methods inherited from Interpolator:
- compute_lb_function_solution(...) from builtins.PyCapsule
- compute_lb_function_solution(self : rosetta.numeric.interpolation.spline.Interpolator, x : float, y : float) -> NoneType
compute the y value of the lower bound function given an x value
- compute_ub_function_solution(...) from builtins.PyCapsule
- compute_ub_function_solution(self : rosetta.numeric.interpolation.spline.Interpolator, x : float, y : float) -> NoneType
compute the y value of the lower bound function given an x value
- get_lb_function_cutoff(...) from builtins.PyCapsule
- get_lb_function_cutoff(rosetta.numeric.interpolation.spline.Interpolator) -> float
get the lower bound cutoff
- get_ub_function_cutoff(...) from builtins.PyCapsule
- get_ub_function_cutoff(rosetta.numeric.interpolation.spline.Interpolator) -> float
get the upper bound cutoff
- has_lb_function(...) from builtins.PyCapsule
- has_lb_function(rosetta.numeric.interpolation.spline.Interpolator) -> bool
return true if the interpolator has a defined lower bound function
- has_ub_function(...) from builtins.PyCapsule
- has_ub_function(rosetta.numeric.interpolation.spline.Interpolator) -> bool
return false if the interpolator has a defined upper bound function
- set_lb_function(...) from builtins.PyCapsule
- set_lb_function(self : rosetta.numeric.interpolation.spline.Interpolator, lb : float, slope : float, intercept : float) -> NoneType
set a linear function describing the behavior of the interpolator after a given lower bound. This lower bound can be distinct from the lb of the spline
- set_ub_function(...) from builtins.PyCapsule
- set_ub_function(self : rosetta.numeric.interpolation.spline.Interpolator, ub : float, slope : float, intercept : float) -> NoneType
set a linear function describing the behavior of the interpolator after a given upper bound. This upper bound can be distinct from the ub of the spline
|
class CubicSpline(builtins.object) |
| | |
Methods defined here:
- F(...) from builtins.PyCapsule
- F(self : rosetta.numeric.interpolation.spline.CubicSpline, ARGUMENT : float) -> float
- FdF(...) from builtins.PyCapsule
- FdF(self : rosetta.numeric.interpolation.spline.CubicSpline, ARGUMENT : float) -> (float, float)
return value and derivative at ARGUMENT
x value
value and derivative at ARGUMENT
- __eq__(...) from builtins.PyCapsule
- __eq__(self : rosetta.numeric.interpolation.spline.CubicSpline, rhs : rosetta.numeric.interpolation.spline.CubicSpline) -> bool
- __init__(...) from builtins.PyCapsule
- __init__(*args, **kwargs)
Overloaded function.
1. __init__(rosetta.numeric.interpolation.spline.CubicSpline) -> NoneType
2. __init__(self : rosetta.numeric.interpolation.spline.CubicSpline, : rosetta.numeric.interpolation.spline.CubicSpline) -> NoneType
- __ne__(...) from builtins.PyCapsule
- __ne__(self : rosetta.numeric.interpolation.spline.CubicSpline, rhs : rosetta.numeric.interpolation.spline.CubicSpline) -> bool
- __new__(*args, **kwargs) from builtins.type
- Create and return a new object. See help(type) for accurate signature.
- assign(...) from builtins.PyCapsule
- assign(self : rosetta.numeric.interpolation.spline.CubicSpline, : rosetta.numeric.interpolation.spline.CubicSpline) -> rosetta.numeric.interpolation.spline.CubicSpline
- clone(...) from builtins.PyCapsule
- clone(rosetta.numeric.interpolation.spline.CubicSpline) -> rosetta.numeric.interpolation.spline.CubicSpline
copy constructor
- dF(...) from builtins.PyCapsule
- dF(self : rosetta.numeric.interpolation.spline.CubicSpline, ARGUMENT : float) -> float
return derivative at ARGUMENT
x value
derivative at ARGUMENT
- get_delta(...) from builtins.PyCapsule
- get_delta(rosetta.numeric.interpolation.spline.CubicSpline) -> float
access to the delta value
the distance between two support points of the spline
- get_dsecox(...) from builtins.PyCapsule
- get_dsecox(rosetta.numeric.interpolation.spline.CubicSpline) -> rosetta.numeric.MathVector_double_t
get the second order derivatives of the spline
the second order derivatives at the support points of the spline
- get_start(...) from builtins.PyCapsule
- get_start(rosetta.numeric.interpolation.spline.CubicSpline) -> float
access to the start value
the start of the interval the spline is defined on
- get_values(...) from builtins.PyCapsule
- get_values(rosetta.numeric.interpolation.spline.CubicSpline) -> rosetta.numeric.MathVector_double_t
access to the values
the function values at the support points of the spline
- sqr(...) from builtins.PyCapsule
- sqr(self : rosetta.numeric.interpolation.spline.CubicSpline, x : float) -> float
- train(...) from builtins.PyCapsule
- train(self : rosetta.numeric.interpolation.spline.CubicSpline, BORDER : rosetta.numeric.interpolation.spline.BorderFlag, START : float, DELTA : float, RESULTS : rosetta.numeric.MathVector_double_t, FIRSTBE : (float, float)) -> rosetta.numeric.interpolation.spline.CubicSpline
|
class Interpolator(builtins.object) |
| | |
Methods defined here:
- __eq__(...) from builtins.PyCapsule
- __eq__(self : rosetta.numeric.interpolation.spline.Interpolator, other : rosetta.numeric.interpolation.spline.Interpolator) -> bool
- __init__(...) from builtins.PyCapsule
- __init__(*args, **kwargs)
Overloaded function.
1. __init__(rosetta.numeric.interpolation.spline.Interpolator) -> NoneType
2. __init__(rosetta.numeric.interpolation.spline.Interpolator, rosetta.numeric.interpolation.spline.Interpolator) -> NoneType
- __new__(*args, **kwargs) from builtins.type
- Create and return a new object. See help(type) for accurate signature.
- assign(...) from builtins.PyCapsule
- assign(self : rosetta.numeric.interpolation.spline.Interpolator, : rosetta.numeric.interpolation.spline.Interpolator) -> rosetta.numeric.interpolation.spline.Interpolator
- compute_lb_function_solution(...) from builtins.PyCapsule
- compute_lb_function_solution(self : rosetta.numeric.interpolation.spline.Interpolator, x : float, y : float) -> NoneType
compute the y value of the lower bound function given an x value
- compute_ub_function_solution(...) from builtins.PyCapsule
- compute_ub_function_solution(self : rosetta.numeric.interpolation.spline.Interpolator, x : float, y : float) -> NoneType
compute the y value of the lower bound function given an x value
- deserialize(...) from builtins.PyCapsule
- deserialize(self : rosetta.numeric.interpolation.spline.Interpolator, data : rosetta.std.map_std_string_utility_json_spirit_Value_impl_utility_json_spirit_Config_map_std_string_t) -> NoneType
deserialize a json_spirit object to a Interpolator
- get_lb_function_cutoff(...) from builtins.PyCapsule
- get_lb_function_cutoff(rosetta.numeric.interpolation.spline.Interpolator) -> float
get the lower bound cutoff
- get_ub_function_cutoff(...) from builtins.PyCapsule
- get_ub_function_cutoff(rosetta.numeric.interpolation.spline.Interpolator) -> float
get the upper bound cutoff
- has_lb_function(...) from builtins.PyCapsule
- has_lb_function(rosetta.numeric.interpolation.spline.Interpolator) -> bool
return true if the interpolator has a defined lower bound function
- has_ub_function(...) from builtins.PyCapsule
- has_ub_function(rosetta.numeric.interpolation.spline.Interpolator) -> bool
return false if the interpolator has a defined upper bound function
- interpolate(...) from builtins.PyCapsule
- interpolate(self : rosetta.numeric.interpolation.spline.Interpolator, x : float, y : float, dy : float) -> NoneType
- same_type_as_me(...) from builtins.PyCapsule
- same_type_as_me(self : rosetta.numeric.interpolation.spline.Interpolator, other : rosetta.numeric.interpolation.spline.Interpolator) -> bool
- serialize(...) from builtins.PyCapsule
- serialize(rosetta.numeric.interpolation.spline.Interpolator) -> rosetta.utility.json_spirit.Value_impl_utility_json_spirit_Config_vector_std_string_t
serialize the Interpolator to a json_spirit object
- set_lb_function(...) from builtins.PyCapsule
- set_lb_function(self : rosetta.numeric.interpolation.spline.Interpolator, lb : float, slope : float, intercept : float) -> NoneType
set a linear function describing the behavior of the interpolator after a given lower bound. This lower bound can be distinct from the lb of the spline
- set_ub_function(...) from builtins.PyCapsule
- set_ub_function(self : rosetta.numeric.interpolation.spline.Interpolator, ub : float, slope : float, intercept : float) -> NoneType
set a linear function describing the behavior of the interpolator after a given upper bound. This upper bound can be distinct from the ub of the spline
|
class Point(builtins.object) |
| | |
Methods defined here:
- __init__(...) from builtins.PyCapsule
- __init__(*args, **kwargs)
Overloaded function.
1. __init__(self : rosetta.numeric.interpolation.spline.Point, xin : float, yin : float) -> NoneType
2. __init__(self : rosetta.numeric.interpolation.spline.Point, xin : float, yin : float, dyin : float) -> NoneType
- __new__(*args, **kwargs) from builtins.type
- Create and return a new object. See help(type) for accurate signature.
Data descriptors defined here:
- dy
- has_dy
- x
- y
|
class PolycubicSpline(builtins.object) |
| | |
Methods defined here:
- Clone(...) from builtins.PyCapsule
- Clone(rosetta.numeric.interpolation.spline.PolycubicSpline) -> rosetta.numeric.interpolation.spline.PolycubicSpline
copy constructor
- F(...) from builtins.PyCapsule
- F(self : rosetta.numeric.interpolation.spline.PolycubicSpline, xs : rosetta.utility.vector1_double) -> float
value at (x1, x2, ... xn)
- __init__(...) from builtins.PyCapsule
- __init__(*args, **kwargs)
Overloaded function.
1. __init__(rosetta.numeric.interpolation.spline.PolycubicSpline) -> NoneType
2. __init__(self : rosetta.numeric.interpolation.spline.PolycubicSpline, n_xs : int) -> NoneType
3. __init__(self : rosetta.numeric.interpolation.spline.PolycubicSpline, : rosetta.numeric.interpolation.spline.PolycubicSpline) -> NoneType
- __new__(*args, **kwargs) from builtins.type
- Create and return a new object. See help(type) for accurate signature.
- dFdall(...) from builtins.PyCapsule
- dFdall(self : rosetta.numeric.interpolation.spline.PolycubicSpline, xs : rosetta.utility.vector1_double) -> rosetta.utility.vector1_double
partial derivatives at (x1, x2, ... xn)
- dFdxi(...) from builtins.PyCapsule
- dFdxi(self : rosetta.numeric.interpolation.spline.PolycubicSpline, n : int, xs : rosetta.utility.vector1_double) -> float
partial derivative at (x1, x2, ... xn) for var i
- get_all_derivs(...) from builtins.PyCapsule
- get_all_derivs(self : rosetta.numeric.interpolation.spline.PolycubicSpline, indices : rosetta.utility.vector1_unsigned_long) -> rosetta.utility.vector1_double
- get_deriv(...) from builtins.PyCapsule
- get_deriv(self : rosetta.numeric.interpolation.spline.PolycubicSpline, n : int) -> rosetta.numeric.MathNTensor_double_t
get the second order derivatives of the spline
for 3 dimensions, you would pass 1-8 and get
values, z, y, yz, x, xz, xy, xyz
- train(...) from builtins.PyCapsule
- train(self : rosetta.numeric.interpolation.spline.PolycubicSpline, BORDER : rosetta.utility.vector1_numeric_interpolation_spline_BorderFlag, START : rosetta.utility.vector1_double, DELTA : rosetta.utility.vector1_double, RESULTS : rosetta.numeric.MathNTensor_double_t, LINCONT : rosetta.utility.vector1_bool, FIRSTBE : rosetta.utility.vector1_std_pair_double_double_t) -> NoneType
train PolycubicSpline
|
class SimpleInterpolator(Interpolator) |
| | |
- Method resolution order:
- SimpleInterpolator
- Interpolator
- builtins.object
Methods defined here:
- __eq__(...) from builtins.PyCapsule
- __eq__(self : rosetta.numeric.interpolation.spline.SimpleInterpolator, other : rosetta.numeric.interpolation.spline.Interpolator) -> bool
- __init__(...) from builtins.PyCapsule
- __init__(*args, **kwargs)
Overloaded function.
1. __init__(self : handle, x : rosetta.utility.vector1_double, y : rosetta.utility.vector1_double, lbdy : float, ubdy : float) -> NoneType
2. __init__(handle) -> NoneType
- __new__(*args, **kwargs) from builtins.type
- Create and return a new object. See help(type) for accurate signature.
- assign(...) from builtins.PyCapsule
- assign(self : rosetta.numeric.interpolation.spline.SimpleInterpolator, : rosetta.numeric.interpolation.spline.SimpleInterpolator) -> rosetta.numeric.interpolation.spline.SimpleInterpolator
- ddy(...) from builtins.PyCapsule
- ddy(rosetta.numeric.interpolation.spline.SimpleInterpolator) -> rosetta.utility.vector1_double
accessors for the second derivative values specified for each knot
- deserialize(...) from builtins.PyCapsule
- deserialize(self : rosetta.numeric.interpolation.spline.SimpleInterpolator, data : rosetta.std.map_std_string_utility_json_spirit_Value_impl_utility_json_spirit_Config_map_std_string_t) -> NoneType
deserialize a json_spirit object to a Interpolator
- interpolate(...) from builtins.PyCapsule
- interpolate(self : rosetta.numeric.interpolation.spline.SimpleInterpolator, x : float, y : float, dy : float) -> NoneType
- same_type_as_me(...) from builtins.PyCapsule
- same_type_as_me(self : rosetta.numeric.interpolation.spline.SimpleInterpolator, other : rosetta.numeric.interpolation.spline.Interpolator) -> bool
- serialize(...) from builtins.PyCapsule
- serialize(rosetta.numeric.interpolation.spline.SimpleInterpolator) -> rosetta.utility.json_spirit.Value_impl_utility_json_spirit_Config_vector_std_string_t
serialize the Interpolator to a json_spirit object
- x(...) from builtins.PyCapsule
- x(rosetta.numeric.interpolation.spline.SimpleInterpolator) -> rosetta.utility.vector1_double
accessor for the x-values defining the interpolation knots
- y(...) from builtins.PyCapsule
- y(rosetta.numeric.interpolation.spline.SimpleInterpolator) -> rosetta.utility.vector1_double
accessor for the y-values specified for each knot
Methods inherited from Interpolator:
- compute_lb_function_solution(...) from builtins.PyCapsule
- compute_lb_function_solution(self : rosetta.numeric.interpolation.spline.Interpolator, x : float, y : float) -> NoneType
compute the y value of the lower bound function given an x value
- compute_ub_function_solution(...) from builtins.PyCapsule
- compute_ub_function_solution(self : rosetta.numeric.interpolation.spline.Interpolator, x : float, y : float) -> NoneType
compute the y value of the lower bound function given an x value
- get_lb_function_cutoff(...) from builtins.PyCapsule
- get_lb_function_cutoff(rosetta.numeric.interpolation.spline.Interpolator) -> float
get the lower bound cutoff
- get_ub_function_cutoff(...) from builtins.PyCapsule
- get_ub_function_cutoff(rosetta.numeric.interpolation.spline.Interpolator) -> float
get the upper bound cutoff
- has_lb_function(...) from builtins.PyCapsule
- has_lb_function(rosetta.numeric.interpolation.spline.Interpolator) -> bool
return true if the interpolator has a defined lower bound function
- has_ub_function(...) from builtins.PyCapsule
- has_ub_function(rosetta.numeric.interpolation.spline.Interpolator) -> bool
return false if the interpolator has a defined upper bound function
- set_lb_function(...) from builtins.PyCapsule
- set_lb_function(self : rosetta.numeric.interpolation.spline.Interpolator, lb : float, slope : float, intercept : float) -> NoneType
set a linear function describing the behavior of the interpolator after a given lower bound. This lower bound can be distinct from the lb of the spline
- set_ub_function(...) from builtins.PyCapsule
- set_ub_function(self : rosetta.numeric.interpolation.spline.Interpolator, ub : float, slope : float, intercept : float) -> NoneType
set a linear function describing the behavior of the interpolator after a given upper bound. This upper bound can be distinct from the ub of the spline
|
class SplineGenerator(builtins.object) |
| | |
Methods defined here:
- __init__(...) from builtins.PyCapsule
- __init__(*args, **kwargs)
Overloaded function.
1. __init__(self : rosetta.numeric.interpolation.spline.SplineGenerator, lbx : float, lby : float, lbdy : float, ubx : float, uby : float, ubdy : float) -> NoneType
2. __init__(rosetta.numeric.interpolation.spline.SplineGenerator) -> NoneType
3. __init__(self : rosetta.numeric.interpolation.spline.SplineGenerator, : rosetta.numeric.interpolation.spline.SplineGenerator) -> NoneType
- __new__(*args, **kwargs) from builtins.type
- Create and return a new object. See help(type) for accurate signature.
- add_boundary_function(...) from builtins.PyCapsule
- add_boundary_function(self : rosetta.numeric.interpolation.spline.SplineGenerator, tag : str, cutoff : float, slope : float, intercept : float) -> NoneType
- add_known_value(...) from builtins.PyCapsule
- add_known_value(*args, **kwargs)
Overloaded function.
1. add_known_value(self : rosetta.numeric.interpolation.spline.SplineGenerator, x : float, y : float) -> NoneType
2. add_known_value(self : rosetta.numeric.interpolation.spline.SplineGenerator, x : float, y : float, dy : float) -> NoneType
- get_interpolator(...) from builtins.PyCapsule
- get_interpolator(rosetta.numeric.interpolation.spline.SplineGenerator) -> rosetta.numeric.interpolation.spline.Interpolator
- get_lbdy(...) from builtins.PyCapsule
- get_lbdy(rosetta.numeric.interpolation.spline.SplineGenerator) -> float
- get_lbx(...) from builtins.PyCapsule
- get_lbx(rosetta.numeric.interpolation.spline.SplineGenerator) -> float
- get_lby(...) from builtins.PyCapsule
- get_lby(rosetta.numeric.interpolation.spline.SplineGenerator) -> float
- get_num_points(...) from builtins.PyCapsule
- get_num_points(rosetta.numeric.interpolation.spline.SplineGenerator) -> int
- get_ubdy(...) from builtins.PyCapsule
- get_ubdy(rosetta.numeric.interpolation.spline.SplineGenerator) -> float
- get_ubx(...) from builtins.PyCapsule
- get_ubx(rosetta.numeric.interpolation.spline.SplineGenerator) -> float
- get_uby(...) from builtins.PyCapsule
- get_uby(rosetta.numeric.interpolation.spline.SplineGenerator) -> float
|
class TricubicSpline(builtins.object) |
| | |
Methods defined here:
- Clone(...) from builtins.PyCapsule
- Clone(rosetta.numeric.interpolation.spline.TricubicSpline) -> rosetta.numeric.interpolation.spline.TricubicSpline
copy constructor
- F(...) from builtins.PyCapsule
- F(self : rosetta.numeric.interpolation.spline.TricubicSpline, x : float, y : float, z : float) -> float
value at (x, y)
- __init__(...) from builtins.PyCapsule
- __init__(*args, **kwargs)
Overloaded function.
1. __init__(rosetta.numeric.interpolation.spline.TricubicSpline) -> NoneType
2. __init__(self : rosetta.numeric.interpolation.spline.TricubicSpline, : rosetta.numeric.interpolation.spline.TricubicSpline) -> NoneType
- __new__(*args, **kwargs) from builtins.type
- Create and return a new object. See help(type) for accurate signature.
- dFdx(...) from builtins.PyCapsule
- dFdx(self : rosetta.numeric.interpolation.spline.TricubicSpline, x : float, y : float, z : float) -> float
partial derivative at (x, y, z) for x
- dFdy(...) from builtins.PyCapsule
- dFdy(self : rosetta.numeric.interpolation.spline.TricubicSpline, x : float, y : float, z : float) -> float
partial derivative at (x, y, z) for y
- dFdz(...) from builtins.PyCapsule
- dFdz(self : rosetta.numeric.interpolation.spline.TricubicSpline, x : float, y : float, z : float) -> float
partial derivative at (x, y, z) for z
- get_dsecox(...) from builtins.PyCapsule
- get_dsecox(rosetta.numeric.interpolation.spline.TricubicSpline) -> rosetta.numeric.MathTensor_double_t
get the second order derivatives of the spline
- get_dsecoxy(...) from builtins.PyCapsule
- get_dsecoxy(rosetta.numeric.interpolation.spline.TricubicSpline) -> rosetta.numeric.MathTensor_double_t
- get_dsecoxyz(...) from builtins.PyCapsule
- get_dsecoxyz(rosetta.numeric.interpolation.spline.TricubicSpline) -> rosetta.numeric.MathTensor_double_t
- get_dsecoxz(...) from builtins.PyCapsule
- get_dsecoxz(rosetta.numeric.interpolation.spline.TricubicSpline) -> rosetta.numeric.MathTensor_double_t
- get_dsecoy(...) from builtins.PyCapsule
- get_dsecoy(rosetta.numeric.interpolation.spline.TricubicSpline) -> rosetta.numeric.MathTensor_double_t
- get_dsecoyz(...) from builtins.PyCapsule
- get_dsecoyz(rosetta.numeric.interpolation.spline.TricubicSpline) -> rosetta.numeric.MathTensor_double_t
- get_dsecoz(...) from builtins.PyCapsule
- get_dsecoz(rosetta.numeric.interpolation.spline.TricubicSpline) -> rosetta.numeric.MathTensor_double_t
|
|