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170: Add compute_jacobian r=aragilar a=aragilar Co-authored-by: James Tocknell <[email protected]>
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# -*- coding: utf-8 -*- | ||
""" | ||
""" | ||
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from numpy import zeros | ||
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from ..float_handling import float_type | ||
from ..solve.solution import ode_system | ||
from ..utils import get_solutions | ||
from .utils import analysis_func_wrapper | ||
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def compute_jacobian( | ||
*, γ, a_0, norm_kepler_sq, init_con, θ_scale, η_derivs, use_E_r, θ, params, | ||
eps, | ||
): | ||
rhs_eq, _ = ode_system( | ||
γ=γ, a_0=a_0, norm_kepler_sq=norm_kepler_sq, init_con=init_con, | ||
θ_scale=θ_scale, with_taylor=False, η_derivs=η_derivs, | ||
store_internal=False, use_E_r=use_E_r, v_θ_sonic_crit=None, | ||
after_sonic=None, deriv_v_θ_func=None, check_params=False | ||
) | ||
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solution_length = params.shape[0] | ||
ode_size = params.shape[1] | ||
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J = zeros([solution_length, ode_size, ode_size], dtype=float_type) | ||
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# compute column for each param | ||
for i in range(ode_size): | ||
derivs_h = zeros([solution_length, ode_size], dtype=float_type) | ||
derivs_l = zeros([solution_length, ode_size], dtype=float_type) | ||
params_h = params.copy() | ||
params_l = params.copy() | ||
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# offset only the value associated with this column | ||
params_h[:, i] += eps | ||
params_l[:, i] -= eps | ||
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# we don't check the validity of inputs as we have these from the | ||
# solution | ||
rhs_eq(θ, params_h, derivs_h) | ||
rhs_eq(θ, params_l, derivs_l) | ||
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J[:, :, i] = (derivs_h - derivs_l) / (2 * eps) | ||
return J | ||
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def compute_jacobian_from_solution(soln, *, eps, θ_scale=float_type(1)): | ||
solution = soln.solution | ||
angles = soln.angles | ||
cons = soln.initial_conditions | ||
soln_input = soln.solution_input | ||
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init_con = cons.init_con | ||
γ = cons.γ | ||
a_0 = cons.a_0 | ||
norm_kepler_sq = cons.norm_kepler_sq | ||
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η_derivs = soln_input.η_derivs | ||
use_E_r = soln_input.use_E_r | ||
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return compute_jacobian( | ||
γ=γ, a_0=a_0, norm_kepler_sq=norm_kepler_sq, init_con=init_con, | ||
θ_scale=θ_scale, η_derivs=η_derivs, use_E_r=use_E_r, θ=angles, | ||
params=solution, eps=eps, | ||
) | ||
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@analysis_func_wrapper | ||
def compute_jacobian_from_file( | ||
soln_file, *, soln_range=None, eps, θ_scale=float_type(1), **kwargs | ||
): | ||
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soln = get_solutions(soln_file, soln_range) | ||
return compute_jacobian_from_solution(soln, eps=eps, θ_scale=θ_scale) |
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