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OpenDDPT 0.3.2
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The program gives a complete, step-by-step solution of the following problem: Given a 2x2 linear system (two equations, two variables) or 2x3, or 3x2, or 3x3, or 3x4, or 4x3, or 4x4 linear system. Find its solution set by using the Gauss-Jordan elimination method. The program is designed for university students and professors.
solution, mathematics, linear algebra, gauss jordan method, linear system
You want to make a mixture. You have ingredients composed of the same components.The proportions (percentage,content) of the components is different in each ingredient.The composition of the mixture will depend on how much of each ingredient you will add.Exact this -"how much of each ingredient"- the Mix Finder can find for you.Uses an algorithm to solve an inhomogen linear system of eaquations.Finds approximated solutions.
algorithm, solve, system, ingredient, linear, mixture, equation, inhomogen, finder, iteration, calculator
KonstSolver is a high-performance vector and matrix library for .NET (C#, C++, and VB), thread based, 100% managed code. A parallel LU algorithm for solving dense systems of linear equations of the form Ax = b provides amazing speedup on multicore and multiprocessor computers. KonstSolver allows the following parallel matrix/vector operations: add, subtract, multiply vector and/or matrix, divide by constant, etc.
equations, linear, parallel, multicore, matrix, algebra, vector
SLAE SOLVER allows to find on a PDA high accuracy solutions of linear algebraic systems with N equations.
solver, equations, math, linear, algebraic, slae, advanced, science, calculator, engineering
SLAE SOLVER allows to find on a personal computer high accuracy solutions of linear algebraic systems with N equations, where N may reach hundreds or thousands
solver, equations, math, linear, algebraic, slae, advanced, science, calculator, engineering
The Bluebit .NET Matrix Library provides classes for object-oriented linear algebra in the .NET platform. It can be used to solve systems of simultaneous linear equations, least-squares solutions of linear systems of equations, eigenvalues and eigenvectors problems, and singular value problems. Also provided are the associated matrix factorizations such as Eigen, LQ, LU, Cholesky, QR, SVD. Both real and complex matrices are supported.
eigenvectors, math, decomposition, eigenvalue, matrix, eigenvalues, cholesky, vector, eigenvector