Man pages for pnd
Parallel Numerical Derivatives, Gradients, Jacobians, and Hessians of Arbitrary Accuracy Order
| alignStrings | Align printed output to the longest argument |
| checkCores | Number of core checks and changes |
| checkDimensions | Determine function dimensionality and vectorisation |
| dupRowInds | Repeated indices of the first unique value |
| fdCoef | Finite-difference coefficients for arbitrary grids |
| formatMat | Round a matrix to N signifcant digits in mixed FP/exp... |
| GenD | Numerical derivative matrices with parallel capabilities |
| generateGrid | Create a grid of points for a gradient / Jacobian |
| generateGrid2 | Generate grid points for Hessians |
| Grad | Gradient computation with parallel capabilities |
| gradstep | Automatic step selection for gradients |
| Hessian | Numerical Hessians |
| Jacobian | Jacobian matrix computation with parallel capabilities s... |
| plot.stepsize | Step-size selection visualisation |
| printMat | Print a matrix with separators |
| runParallel | Run a function in parallel over a list (internal use only) |
| solveVandermonde | Numerically stable non-confluent Vandermonde system solver |
| step.CR | Curtis-Reid automatic step selection |
| step.DV | Dumontet-Vignes automatic step selection |
| step.K | Kink-based step selection |
| step.M | Mathur's AutoDX-like automatic step selection |
| step.plugin | Plug-in step selection |
| step.SW | Stepleman-Winarsky automatic step selection |
| stepx | Default step size at given points |
