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sd_update_params() could return values computed from the
old parameter values (engine fix #107). For a modeling layer this meant
that re-solving a parametric nonlinear problem after changing a
parameter returned the previous solution, reported as optimal.sd_index() (for example a quadratic objective over a
symmetric variable) could crash R with a bus error when the Jacobian or
Hessian was evaluated (engine fix #105).sd_quad_form_dense(): the quadratic form with a
dense constant or parametric matrix. The parametric form follows
sd_update_params(). sd_quad_form() keeps its
signature and still takes a sparse constant matrix.sd_*
counterpart that calls the same engine routine with the same arguments;
the name map is on the package help page (?sparsediff).
New: sd_left_kron() and sd_right_kron()
(Kronecker products, used by the next CVXPY release), the
compressed-sparse-row derivative accessors sd_jacobian(),
sd_get_jacobian(), sd_init_hessian(),
sd_hessian() and sd_get_hessian(), and
sd_get_expr_dimensions() / sd_get_expr_size().
sd_rel_entr() now dispatches on operand size like
make_rel_entr.sd_init_hessian_coo() crashed R when called
before the Jacobian was initialized; it now initializes the Jacobian
first.sd_rel_entr(), sd_rel_entr_first_scalar()
and sd_rel_entr_second_scalar() now check that their
arguments are two different variables, which the engine requires; other
arguments overflowed a heap buffer (found with AddressSanitizer).cblas_ddot, which the 0.6.1 engine
calls._GNU_SOURCE
was defined too late for fopencookie(). It is now set on
the compiler command line.sd_quad_form() and sd_left_matmul() /
sd_right_matmul() are compressed-sparse-row arrays, and the
dense data arguments are row-major. Earlier documentation
said compressed-sparse-column and column-major. The grouped help pages
now have usage sections (flagged by current R-devel).These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.