Differentiation

Automatic differentiation is a technique for computing the derivatives of a function using the chain rule. Matlab objects make it easy to implement automatic differentiation. Note that this package is implemented in a rather old version of Matlab. You may need to edit it for newer versions.An... Platforms: Matlab

Very easy to study differentiation of TCM and acupuncture treatment. Writer combines rich clinical experiences, edit this book with form of outline. Book has 42 charts, 108 kinds of diseases, 336 acupuncture prescription and 92 earpoint prescription. Platforms: Windows

Function: Savitzky-Golay Smoothing and Differentiation Filter The Savitzky-Golay smoothing/differentiation filter (i.e., the polynomial smoothing/differentiation filter, or the least-squares smoothing/differentiation filters) optimally fit a set of data points to polynomials of different degrees.... Platforms: Matlab

% function ynew=adsmoothdiff(dados,xnew,sdx,isdx,q,nmin)% written by Carlos J Dias%% ADAPTIVE DEGREE SAVISTZKY-GOLAY SMOOTHING AND DIFFERENTIATION% This function smooths and differentiates a sequence of numbers based on% an algorithm drawn on the ideas of Savistky and Golay and Barak.% There are... Platforms: Matlab

CasADi is designed as a minimalistic computer algebra system that is able to implement an automatic differentiation in forward and adjoint modes. It does thtat by means of a hybrid symbolic / numeric approach. It is developed to be a low-level tool for quick, yet highly efficient implementation... Platforms: Windows

The ADMB (Automatic Differentiation Model Builder) software suite is an environment for non-linear statistical modeling enabling rapid model development, numerical stability, fast and efficient computation, and high accuracy parameter estimates. ADModel Builder is a high level language built... Platforms: Mac

The ADMB (Automatic Differentiation Model Builder) software suite is an environment for non-linear statistical modeling enabling rapid model development, numerical stability, fast and efficient computation, and high accuracy parameter estimates. ADModel Builder is a high level language built... Platforms: Linux

The ADMB (Automatic Differentiation Model Builder) software suite is an environment for non-linear statistical modeling enabling rapid model development, numerical stability, fast and efficient computation, and high accuracy parameter estimates. ADModel Builder is a high level language built... Platforms: Windows

The ADMB (Automatic Differentiation Model Builder) software suite is an environment for non-linear statistical modeling enabling rapid model development, numerical stability, fast and efficient computation, and high accuracy parameter estimates. ADModel Builder is a high level language built... Platforms: Windows

Complex step differentiation (CSD) is a superior numerical differentiation approach. Normally, it is more efficient and accurate than finite difference appraoch. This package provides a way to improve the MATLAB fmincon function using the CSD. Platforms: Matlab

Complex step differentiation (CSD) is a superior numerical differentiation approach. Normally, it is more efficient and accurate than finite difference appraoch. This package provides a way to improve the MATLAB lsqnonlin function using the CSD. Platforms: Matlab

To launch use M-file CARTEThe human player (blue cells) can induce differentiation of any basic cell into specialized cell.Other colonies are - for now - only able to grow without differentiating.Beware of the virus in the upper left corner of the map. Platforms: Matlab

Fortran Calculus Compiler: Calculus level computer languages are Fortran Calculus and PROSE. Both languages are based on what is called "Automatic Differentiation" (AD). Calculus languages simplify computer coding to an absolute minimum; i.e., a mathematical model, constraints, and the objective... Platforms: *nix

Quick Calculus, a simple yet powerful tool for computing the derivatives, integrals, Taylor series, and limits of functions. KeatsSoft Quick Calculus helps you quickly find the solutions of calculus problems, freeing you from the tedious manipulation of mathematical equations. Through an... Platforms: Windows

Thyroid hormones play an essential role for metabolism, growth and differentiation. Therefore, exact regulation of thyroid hormone levels is vital for most organisms. Although the principles of thyrotropic feedback control have been described decades ago we still have not yet gained comprehensive... Platforms: Mac

Maxima is a system for the manipulation of symbolic and numerical expressions, including differentiation, integration, Taylor series, Laplace transforms, ordinary differential equations, systems of linear equations, polynomials, and sets, lists, vectors, matrices, and tensors. Maxima yields high... Platforms: Mac, Linux

Maxima is a system for the manipulation of symbolic and numerical expressions, including differentiation, integration, Taylor series, Laplace transforms, ordinary differential equations, systems of linear equations, polynomials, and sets, lists, vectors, matrices, and tensors. Maxima yields high... Platforms: Windows

The library includes compiled FIR filters, redundant and non redundant wavelet transform with dynamically sized channels, with applications to denoising and differentiation. Platforms: Matlab

Interactive differentiation for time- series signals, with sliders that allow you to adjust the derivative order, smooth width, and scale expansion continuously while observing the effect on your signal dynamically. Run InteractiveDerivativeTest to see how it works. For more information see... Platforms: Matlab

Complex step differentiation (CSD) has many advantages in efferency and accuracy over finite difference approaches (central, forward and backward). This code demonstrates how the Jacobian matrix of a given function at the reference point can be calculated using the CSD approach. Platforms: Matlab