Linear Algebra Decoded

Linear Algebra Decoded 1.25

Solve linear algebra problems step-by-step and generate personalized exams.


  • Step-by-step solutions.
  • Exam generator.
  • 60 different problems.
  • Multilanguage.


Solve linear algebra problems step-by-step and generate personalized exams.

Linear Algebra Decoded is a program designed to assist students in the subject of Linear Algebra. It provides step-by-step solutions with detailed explanations, of 60 different problems concerning matrices, determinants, linear equations, vector spaces and linear transformations. It provides to teachers the ability to generate and print exams, from the detailed specification of the questions it will contain. It has a convenient interface that provides assistance at all times, with two different modes for entering the problem data to solve: Tabular or text. It is a multilingual software, which distribution contains the English as default language, and the Spanish as alternate language, with the possible inclusion of new languages.

It covers 60 differents linear algebra problems, most of them are not solved in others linear algebra softwares, and all of them are solved step-by-step with detailed explanations. It has an exam generator tool where problems are generated using complex algorithms to ensure that the solutions to each problem satisfy the conditions imposed on its configuration, and whose numerical values are suitable for use in tests. It has been designed for Multilanguage support.

This program is meant for people who are learning Linear Algebra (mainly college students) or who need to refresh the knowledge, and for professors who teach this topic.

Linear Algebra Decoded


Linear Algebra Decoded 1.25

— User reviews — about Linear Algebra Decoded

  • "Good tool"

    the software is really good and I also recommend it to everyone who is coursing Linear Algebra. More.

    reviewed on January 28, 2016

  • kevin.martin

    by kevin.martin

    "An excellent software"

    An excellent software that helped me to overcome this subject. I recommend it to everyone who is in trouble with Linear ... More.

    reviewed on January 2, 2015