Sundials/ML 6.1.0p0 : Index of values

Computes the current sensitivity vector for all sensitivities using the stored prediction and the supplied correction vectors from the nonlinear solver.

compute_state [Arkode.MRIStep]

Computes the current stage state vector using the stored prediction and the supplied correction from the nonlinear solver.

compute_state [Arkode.ARKStep]

Computes the current stage state vector using the stored prediction and the supplied correction from the nonlinear solver.

compute_state [Cvode]

Computes the current stage state vector using the stored prediction and the supplied correction from the nonlinear solver.

compute_state1 [Cvodes.Sensitivity]

Computes the current sensitivity vector for the sensitivity at the given index using the stored prediction and the supplied correction vector from the nonlinear solver.

compute_y [Ida]

Computes the current $y$ vector from a correction vector.

compute_y_sens [Idas.Sensitivity]

Computes the sensitiviites from a correction vector.

compute_yp [Ida]

Computes the current $\dot{y}$ vector from a correction vector.

compute_yp_sens [Idas.Sensitivity]

Computes the sensitivity derivatives from a correction vector.

concat [Sundials_ROArray]

Create a new immutable array by concatenating a list of existing ones.

const [Nvector.NVECTOR_OPS]

const c z sets all of z to c.

const [Nvector.Ops]

const c z sets all of z to c.

constrmask [Nvector.NVECTOR_OPS.Local]

constrmask c x m calculates m(i) = Pi x(i) returning the conjunction.

constrmask [Nvector.NVECTOR_OPS]

constrmask c x m calculates m(i) = Pi x(i) returning the conjunction.

constrmask [Nvector.Ops.Local]

constrmask c x m calculates m(i) = Pi x(i) returning the conjunction.

constrmask [Nvector.Ops]

constrmask c x m calculates m(i) = Pi x(i) returning the conjunction.

constvectorarray [Nvector.NVECTOR_OPS]

constvectorarray c x sets all elements of the $n_v$ nvectors in x to c.

constvectorarray [Nvector.Ops]

constvectorarray c x sets all elements of the $n_v$ nvectors in x to c.

context [Nvector]

Returns the context used to create the nvector.

convert_ops [Nvector_custom.Any]

Adapt a set of nvector operations so that they work with a payload of type Nvector.gdata.

copy [Arkode.MRIStep.Coupling]

Create a copy of a given coupling table.

copy [Sundials.RootDirs]

copy n a returns an array with n elements, initialized from the contents of a.

copy [Sundials.Roots]

Creates a new array with the same contents as an existing one.

copy [Sundials_ROArray]

Copy an immutable array.

copy [Sundials_RealArray2]

Creates a new array with the same contents as an existing one.

copy [Sundials_RealArray]

Creates a new array with the same contents as an existing one.

copy_to_csc [Sundials_Matrix.Sparse]

Create a new sparse matrix in CSC format from the contents of an existing one in CSR format.

copy_to_csr [Sundials_Matrix.Sparse]

Create a new sparse matrix in CSR format from the contents of an existing one in CSC format.

create [Sundials_Matrix.ArrayBand]

create smu ml n returns an uninitialized n by n band matrix with storage upper bandwidth smu and lower half-bandwidth ml.

create [Sundials_Matrix.ArrayDense]

create m n returns an uninitialized m by n array dense matrix.

create [Sundials_Matrix.Band]

Returns an uninitialized band matrix with the given Sundials_Matrix.Band.dimensions.

create [Sundials_Matrix.Dense]

create m n returns an uninitialized m by n dense matrix.

create [Sundials.RootDirs]

create n returns an array with n elements each set to IncreasingOrDecreasing.

create [Sundials.Roots]

create n returns an array with n elements each set to NoRoot.

create [Sundials_LintArray]

create n returns an uninitialized array with n elements.

create [Sundials_RealArray2]

create nr nc returns an uninitialized array with nr rows and nc columns.

create [Sundials_RealArray]

create n returns an uninitialized array with n elements.

data [Sundials_NonlinearSolver.Senswrapper]

Creates an array to the nvector data within a senswrapper.

default [Sundials.Context]

The default context when creating values.

default_tolerances [Arkode.Common]

A default relative tolerance of 1.0e-4 and absolute tolerance of 1.0e-9.

default_tolerances [Ida]

A default relative tolerance of 1.0e-4 and absolute tolerance of 1.0e-8.

default_tolerances [Cvode]

A default relative tolerance of 1.0e-4 and absolute tolerance of 1.0e-8.

dense [Sundials_LinearSolver.Direct]

Creates a direct linear solver on dense matrices.

dense [Sundials_Matrix]

By default, dense n returns an n by n dense matrix with all elements initialized to 0.0.

detected [Sundials.Roots]

Returns true only if the specified element is either Rising or Falling.

differential [Ida.VarId]

The constant 1.0.

dims [Sundials_Matrix.ArrayBand]

Returns the dimensions of an array band matrix.

dims [Sundials_Matrix.Sparse]

nnz, np = dims m returns the allocated number of nonzeros nnz and of the number np of columns (for csc) or rows (for csr) in the matrix m.

dims [Sundials_Matrix.Band]

Returns the dimensions of a band matrix.

div [Nvector.NVECTOR_OPS]

div x y z calculates z = x / y (pointwise).

div [Nvector.Ops]

div x y z calculates z = x / y (pointwise).

dotprod [Nvector.NVECTOR_OPS.Local]

dotprod x y returns the dot product of x and y.

dotprod [Nvector.NVECTOR_OPS]

dotprod x y returns the dot product of x and y.

dotprod [Nvector.Ops.Local]

dotprod x y returns the dot product of x and y.

dotprod [Nvector.Ops]

dotprod x y returns the dot product of x and y.

dotprodmulti [Nvector.NVECTOR_OPS.Local]

dotprodmulti x y d calculates d(j) = x(0)*y(j)(0) + ... + x(n-1)*y(j)(n-1) for the nl task-local elements in the nvectors and where j ranges over the array elements.

dotprodmulti [Nvector.NVECTOR_OPS]

dotprodmulti x y d calculates the dot product of x with the $n_v$ elements of y.

dotprodmulti [Nvector.Ops.Local]

dotprodmulti x yy d calculates the task-local portion of the dot product of a vector x with vectors yy.

dotprodmulti [Nvector.Ops]

dotprodmulti x y d calculates the dot product of x with the $n_v$ elements of y.

dotprodmulti_allreduce [Nvector.NVECTOR_OPS.Local]

dotprodmulti_allreduce x d combines the task-local portions of the dot product of a vector x with nv vectors.

dotprodmulti_allreduce [Nvector.Ops.Local]

dotprodmulti_allreduce x d combines the task-local portions of the dot product of a vector x with an array of vectors.

embedding_order [Arkode.MRIStep.Coupling]

The accuracy order of the embedding.

empty [Sundials_LintArray]

An array with no elements.

empty [Sundials_RealArray2]

An array with no elements.

empty [Sundials_RealArray]

An array with no elements.

enable [Nvector_pthreads.Any]