fdm
0.1
FDM: Finite Difference Methods
Application Programming Interface
fdm
»
Index
Index
A
|
B
|
C
|
D
|
E
|
F
|
G
|
H
|
J
|
M
|
O
|
S
A
acc (fdm.fdm.FDM attribute)
approx_equal() (in module fdm.numerics)
B
backward_fdm() (in module fdm.fdm)
bound_estimator (fdm.fdm.FDM attribute)
C
central_fdm() (in module fdm.fdm)
check_sensitivity() (in module fdm.numerics)
coefs (fdm.fdm.FDM attribute)
condition (fdm.fdm.FDM attribute)
D
default_adaptive_method (in module fdm.multivariate)
default_robust_method (in module fdm.multivariate)
deriv (fdm.fdm.FDM attribute)
df_magnitude_mult (fdm.fdm.FDM attribute)
E
estimate() (fdm.fdm.FDM method)
F
f_error_mult (fdm.fdm.FDM attribute)
factor (fdm.fdm.FDM attribute)
fdm
module
FDM (class in fdm.fdm)
fdm.fdm
module
fdm.multivariate
module
fdm.numerics
module
forward_fdm() (in module fdm.fdm)
G
gradient() (in module fdm.multivariate)
grid (fdm.fdm.FDM attribute)
H
hvp() (in module fdm.multivariate)
J
jacobian() (in module fdm.multivariate)
jvp() (in module fdm.multivariate)
M
module
fdm
fdm.fdm
fdm.multivariate
fdm.numerics
O
order (fdm.fdm.FDM attribute)
S
step (fdm.fdm.FDM attribute)