Here are the classes, structs, unions and interfaces with brief descriptions:

[detail level 1234]

cusp
precond
aggregation
smoothed_aggregation	Algebraic multigrid preconditoner based on smoothed aggregation
scaled_bridson_ainv
bridson_ainv
nonsym_bridson_ainv
diagonal	Diagonal preconditoner (aka Jacobi preconditioner)
relaxation
gauss_seidel	Represents a Gauss-Seidel relaxation scheme
jacobi	Represents a Jacobi relaxation scheme
polynomial	Represents a Polynomial relaxation scheme
sor	Represents a Successive Over-Relaxation relaxation scheme
array1d_view	The array1d_view class is a 1D vector container that wraps data from various iterators in a array1d datatype
array1d	The array1d class is a 1D vector container that may contain elements stored in "host" or "device" memory space
counting_array	Specialized array1d_view wrapping thrust::counting_iterator
constant_array	Specialized array1d_view wrapping thrust::constant_iterator
random_array	Specialized array1d_view wrapping cusp::random_iterator
array2d	The array2d class is a 2D vector container that may contain elements stored in "host" or "device" memory space
array2d_view	The array2d_view is a view of a array2d container
coo_matrix	Coordinate (COO) representation a sparse matrix
coo_matrix_view	View of a `coo_matrix`
csr_matrix_view	View of a `csr_matrix`
csr_matrix	Compressed sparse row (CSR) representation a sparse matrix
dia_matrix_view	View of a `dia_matrix`
dia_matrix	Diagonal (DIA) representation a sparse matrix
ell_matrix	Packed row (ELLPACK/ITPACK) representation of a sparse matrix
ell_matrix_view	View of a `ell_matrix`
hyb_matrix	Hybrid (HYB) representation a sparse matrix
hyb_matrix_view	View of a `hyb_matrix`
permutation_matrix_view	View of a `permutation_matrix`
permutation_matrix	Simple representation a permutation matrix
plus_value	`plus_value` is a function object to add a constant value to a given element
divide_value	`divide_value` is a function object to divide a given element by a constant value
modulus_value	`modulus_value` is a function object that computes the modulus of a given element by a constant value
multiplies_value	`multiplies_value` is a function object that computes the multiply of a given element by a constant value
greater_value	`greater_value` is a function object that compares a given element with a constant value
greater_equal_value	`greater_equal_value` is a function object that compares a given element with a constant value
less_value	`less_value` is a function object that compares a given element with a constant value
less_equal_value	`less_equal_value` is a function object that compares a given element with a constant value
constant_functor	`constant_functor` is a function object returns a constant value, ignores the input
square_functor	`square_functor` is a function object that computes the square (x*x) of a given element
sqrt_functor	`sqrt_functor` is a function object that computes the square root of a given element
reciprocal_functor	`reciprocal_functor` is a function object computes the reciprocal, 1/x, of a given element
abs_functor	`abs_functor` is a function object that computes the absolute value of a given element
abs_squared_functor	`abs_squared_functor` is a function object that computes the square of the absolute value of a given element
conj_functor	`conj_functor` is a function object that computes the conjugate of a given element
norm_functor	`norm_functor` is a function object that computes the norm of a given element
sum_pair_functor	`sum_pair_functor` is a function object that computes the sum of a 2 element tuple
divide_pair_functor	`divide_pair_functor` is a function object that divides the first element of a 2 element tuple by the second element
equal_pair_functor	`equal_pair_functor` is a function object that compares 2 element tuple entries
not_equal_pair_functor	`not_equal_pair_functor` is a function object that compares 2 element tuple entries
linear_operator	Abstract representation of a linear operator
identity_operator	Simple identity operator
monitor	Implements standard convergence criteria and reporting for iterative solvers
convergence_monitor
default_monitor
verbose_monitor
join_iterator	RandomAccessIterator for access to array entries from two concatenated iterators
random_iterator	Iterator for generating random values
strided_iterator	RandomAccessIterator for strided access to array entries