Matrix calculator + Code exercises: Processador of matrices with operations: Add, multiply matrices, multiply by scalar number, transpose in four orientations, determinant, inverse matrix.
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Updated
Sep 6, 2021 - HTML
Matrix calculator + Code exercises: Processador of matrices with operations: Add, multiply matrices, multiply by scalar number, transpose in four orientations, determinant, inverse matrix.
Having fun with math!
Java program that carries out linear algebra operation to do with matrices and vectors
A matrix calculator for 2x2 inverse matrices, transposing, determinants, and visualizing linear transformations.
A small tutorial on matrices in Python - for beginners (rus)
Spectral forecast is a novel general-purpose prediction model recently published in the journal CHAOS. The model revolves around three known states: two extreme outcomes (A and B) and one measurement (P). These states are represented by either vectors or matrices that include sets of homologous parameters.
Implement SLAM, a robust method for tracking an object over time and mapping out its surrounding environment using elements of probability, motion models, linear algerbra.
Ordered Sequence Logo based on existing matrices is an alternative that provides full control over how the graphics of a Sequence Logo should look like. All the inner workings of this open source application are written in native javascript. The application is independent of the internet once it is saved as html.
Sequence Logo - block style is an alternative that provides full control over how the graphics of a Sequence Logo should look like. All the inner workings of this open source application are written in native javascript. The application is independent of the internet once it is saved as a html file.
A more complex example that uses the spectral forecast equation is related to matrices. A question that can be asked this time would be: given two matrices A and B, what would a third matrix (M) look like if it must resemble both A and B in a certain proportion?
Discrete Probability Detector (DPD) application uses an algorithm that transforms any sequence of symbols into a transition matrix. It is able to detect the number of states from the sequence and calculate the transition probabilities between these states. This version of DPD is made in JavaScript.
A repository of tutorials to revise mathematical concepts required for statistics and machine learning
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