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Matrix (mathematics) and Taylor series

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between Matrix (mathematics) and Taylor series

Matrix (mathematics) vs. Taylor series

In mathematics, a matrix (plural: matrices) is a rectangular array of numbers, symbols, or expressions, arranged in rows and columns. In mathematics, a Taylor series is a representation of a function as an infinite sum of terms that are calculated from the values of the function's derivatives at a single point.

Similarities between Matrix (mathematics) and Taylor series

Matrix (mathematics) and Taylor series have 17 things in common (in Unionpedia): Complex number, Computer algebra system, Continuous function, Derivative, Dover Publications, Empty product, Exponential function, Hessian matrix, Limit of a sequence, Logarithm of a matrix, Mathematics, Matrix exponential, Partial derivative, Polynomial, Random variable, Real number, Taylor series.

Complex number

A complex number is a number that can be expressed in the form, where and are real numbers, and is a solution of the equation.

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Computer algebra system

A computer algebra system (CAS) is any mathematical software with the ability to manipulate mathematical expressions in a way similar to the traditional manual computations of mathematicians and scientists.

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Continuous function

In mathematics, a continuous function is a function for which sufficiently small changes in the input result in arbitrarily small changes in the output.

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Derivative

The derivative of a function of a real variable measures the sensitivity to change of the function value (output value) with respect to a change in its argument (input value).

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Dover Publications

Dover Publications, also known as Dover Books, is an American book publisher founded in 1941 by Hayward Cirker and his wife, Blanche.

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Empty product

In mathematics, an empty product, or nullary product, is the result of multiplying no factors.

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Exponential function

In mathematics, an exponential function is a function of the form in which the argument occurs as an exponent.

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Hessian matrix

In mathematics, the Hessian matrix or Hessian is a square matrix of second-order partial derivatives of a scalar-valued function, or scalar field.

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Limit of a sequence

As the positive integer n becomes larger and larger, the value n\cdot \sin\bigg(\frac1\bigg) becomes arbitrarily close to 1.

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Logarithm of a matrix

In mathematics, a logarithm of a matrix is another matrix such that the matrix exponential of the latter matrix equals the original matrix.

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Mathematics

Mathematics (from Greek μάθημα máthēma, "knowledge, study, learning") is the study of such topics as quantity, structure, space, and change.

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Matrix exponential

In mathematics, the matrix exponential is a matrix function on square matrices analogous to the ordinary exponential function.

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Partial derivative

In mathematics, a partial derivative of a function of several variables is its derivative with respect to one of those variables, with the others held constant (as opposed to the total derivative, in which all variables are allowed to vary).

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Polynomial

In mathematics, a polynomial is an expression consisting of variables (also called indeterminates) and coefficients, that involves only the operations of addition, subtraction, multiplication, and non-negative integer exponents of variables.

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Random variable

In probability and statistics, a random variable, random quantity, aleatory variable, or stochastic variable is a variable whose possible values are outcomes of a random phenomenon.

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Real number

In mathematics, a real number is a value of a continuous quantity that can represent a distance along a line.

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Taylor series

In mathematics, a Taylor series is a representation of a function as an infinite sum of terms that are calculated from the values of the function's derivatives at a single point.

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The list above answers the following questions

Matrix (mathematics) and Taylor series Comparison

Matrix (mathematics) has 352 relations, while Taylor series has 112. As they have in common 17, the Jaccard index is 3.66% = 17 / (352 + 112).

References

This article shows the relationship between Matrix (mathematics) and Taylor series. To access each article from which the information was extracted, please visit:

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