v4.7.0 (5 September 2023)

• Improved accuracy of matrix_exp_multiply. (#2619)
• Added framework for vectorising ternary functions (#2642)
• Added select() function for vectorised ternary operations, as well as the any() and all() boolean reduction functions (#2853)
• Added a minimum number of iterations (5) to the grad_2f1 function to avoid early convergence (#2858)
• Fixed some spelling errors in documentation (#2908)
• Added new function in stan::math::internal, finite_diff_hessian_vector_product_auto (#2914)
• Fixed an issue with the return type of eigenvalues being incorrect (#2915)
• Delete jquery files from vendored Boost documentation (#2916)
• Fixed fvar/higher-order autodiff compatibility with GLM distributions (#2917)
• Fixed a type issue in the tests for inv_wishart_cholesky. (#2920)
• The constraint tolerance can now be adjusted by defining the STAN_MATH_CONSTRAINT_TOLERANCE macro before including Stan headers. The default value remains 1E-8. (#2921)
• Use -dumpfullversion if available in makefiles (#2922)
• Vectorised binary signature for log_sum_exp (#2930)
• Added new functions qr_thin, eigendecompose_sym, eigendecompose, complex_schur_decompose, svd, and csr_extract. Each of these is equivalent to calling several existing functions, but should be more efficient due to sharing work. For example, svd(m) is equivalent to (svd_U(m), singular_values(m), svd_V(m)). (#2931)