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36 tools
The matrix addition and subtraction calculator is a quick and easy-to-use tool to find the sum or difference of any two matrices with, at most, four rows and columns.
Calculates the product of two matrices up to 3x3 in size. Enter the elements of the matrices, select the matrices' dimensions, and the calculator performs the multiplication, displaying the resulting matrix. Helps users in education and engineering who need to perform matrix operations for problem-solving or analysis. Ideal for students learning linear algebra, teachers preparing lessons, and professionals dealing with complex data sets requiring matrix calculations.
Calculates QR decomposition, factoringize matrices into orthogonal and upper-triangular components. Ideal for students, educators, and professionals needing to perform matrix operations in various fields such as engineering, physics, and computer science.
Calculates the dimension and generators of the column space for any given matrix up to 4x4, simplifying complex linear algebra problems with ease. Helps users in education, research, and engineering by providing quick solutions to determine the column space of matrices, aiding in tasks like solving systems of linear equations and understanding vector spaces.
Calculates solutions to systems of linear equations using Cramer's rule, determining values for determinants involved in the calculations. Ideal for students, educators, and professionals needing quick, accurate solutions to complex algebraic problems.
Calculates eigenvalues and eigenvectors for 2x2 or 3x3 matrices using simple input of matrix elements. Users enter their matrix values, and the calculator processes to find the eigenvalues and corresponding eigenvectors, presenting results in a clear format. Helps users in fields such as physics, engineering, and mathematics who need to solve problems involving linear transformations and stability analysis. Ideal for students learning linear algebra, researchers performing data analysis, and professionals needing quick calculations for their work.
The Gauss-Jordan elimination calculator transforms any given matrix into its (reduced) row echelon form to help you solve various matrix-related problems.
The Gram-Schmidt calculator is a quick and easy-to-use tool that uses the orthogonalization process to find the orthonormal basis of the space spanned by your vectors.
Calculates linear combinations to solve systems of equations using the method of combining linear equations. It simplifies complex algebraic problems by allowing users to input coefficients and constants, then provides solutions through step-by-step calculations. Helps users in mathematics, engineering, physics, and other fields that require solving multiple linear equations simultaneously. Ideal for students, educators, researchers, and anyone needing efficient tools to handle algebraic computations accurately and quickly.
Calculates the LU decomposition of a given square matrix by expressing it as a product of a lower triangular matrix and an upper triangular matrix. This tool aids users in solving linear systems, inverting matrices, and computing determinants through efficient numerical methods. Ideal for students, educators, and professionals working with linear algebra, engineers, and data scientists needing to perform complex matrix operations accurately and quickly.
Calculates various matrix norms for any given matrix up to 3×3 dimensions. Users input their matrix values, select the desired norm type (Frobenius, spectral, or nuclear), and receive the calculated norm value instantly. Students, educators, engineers, and researchers in fields requiring linear algebra calculations will find this tool invaluable for verifying results, solving problems, or teaching concepts related to matrix norms.
Calculates the singular values of any given matrix using a straightforward interface. Users simply input their matrix data, and the calculator processes to display the singular values, offering a quick way to understand matrix properties essential in fields such as linear algebra, signal processing, and more. Helps users who need to analyze matrix data for academic research or practical applications like image compression and noise reduction.
