Major optimization of dense numerical linear algebra.
New optimized sparse numerical linear algebra.
Support for optimized arbitrary-precision linear algebra.
Generalized eigenvalues and singular value decomposition.
LinearSolveFunction for repeated linear-system solving.
norms for vectors and matrices.
Built-in MatrixRank for exact and approximate matrices.
Support for large-scale linear programming, with interior point methods.
New methods and array variable support in FindRoot and FindMinimum.
FindFit for full nonlinear curve fitting.
Constrained global optimization with NMinimize.
Support for -dimensional PDEs in NDSolve.
Support for differential-algebraic equations in NDSolve.
Support for vector and array-valued functions in NDSolve.
Highly extensive collection of automatically accessible algorithms in NDSolve.
Finer precision and accuracy control for arbitrary-precision numbers.
Higher-efficiency big number arithmetic, including processor-specific optimization.
Enhanced algorithms for number-theoretical operations including GCD and FactorInteger.
Direct support for high-performance basic statistics functions.