Automatic Differentiation of Multivariate Operations
vectorize a multidimensional array.
Calculate Variance-Covariance Matrix for a model.
Accessor methods.
Basic Arithmetic Operations.
Coerce to a madness object.
Coerce madness to something else
Row and Column Bind
Replicate blocks of multidimensional value.
Form Row and Column Sums and Means
Matrix Determinant
Spectral Decomposition of a Matrix
Element-wise Multivariate Operations
Extract parts of a madness value.
Madness Class.
Multivariate Automatic Differentiation.
Basic Matrix Arithmetic Operations.
Matrix Trace
Matrix-wise Multivariate Operations
Maxima and Minima
News for package madness :
Matrix and vector norms.
Numerical (approximate) Differentiation.
Outer product.
Basic Reshape Operations
Setter methods.
Show a madness object.
Basic Matrix Inversion
Sum and Product.
Estimate the symmetric second moment array of values.
Convert a madness object into an objective value with gradient
Diagonal Operations
Estimate the mean and covariance of values.
An object that supports automatic differentiation of matrix- and multidimensional-valued functions with respect to multidimensional independent variables. Automatic differentiation is via 'forward accumulation'.