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Derive 1.0 - A Mathematical Assistant Program (2nd printing, 3rd ed.). Honolulu, Hawaii, USA: Soft Warehouse, Inc. August 1989 [June 1989 (September 1988)]. Jerry Glynn, Exploring Math from Algebra to Calculus with Derive, A Mathematical Assistant, Mathware Inc, 1992, ISBN 0-9623629-0-5
Qalculate! supports common mathematical functions and operations, multiple bases, autocompletion, complex numbers, infinite numbers, arrays and matrices, variables, mathematical and physical constants, user-defined functions, symbolic derivation and integration, solving of equations involving unknowns, uncertainty propagation using interval arithmetic, plotting using Gnuplot, unit and currency ...
In mathematics, the derivative is a fundamental tool that quantifies the sensitivity to change of a function's output with respect to its input. The derivative of a function of a single variable at a chosen input value, when it exists, is the slope of the tangent line to the graph of the function at that point.
Figure 2. Xcas can solve equations, calculate derivatives, antiderivatives and more. Figure 3. Xcas can solve differential equations. Xcas is a user interface to Giac, which is an open source [2] computer algebra system (CAS) for Windows, macOS and Linux among many other platforms. Xcas is written in C++. [3]
Tensorlab [20] is a MATLAB toolbox for multilinear algebra and structured data fusion. Tensor Toolbox [21] Multilinear algebra MATLAB software. MPCA and MPCA+LDA [22] Multilinear subspace learning software: Multilinear principal component analysis. UMPCA [23] Multilinear subspace learning software: Uncorrelated multilinear principal component ...
Automatic differentiation is a subtle and central tool to automatize the simultaneous computation of the numerical values of arbitrarily complex functions and their derivatives with no need for the symbolic representation of the derivative, only the function rule or an algorithm thereof is required.
The calculus of variations (or variational calculus) is a field of mathematical analysis that uses variations, which are small changes in functions and functionals, to find maxima and minima of functionals: mappings from a set of functions to the real numbers.
In matrix calculus, Jacobi's formula expresses the derivative of the determinant of a matrix A in terms of the adjugate of A and the derivative of A. [1]If A is a differentiable map from the real numbers to n × n matrices, then