stdlib-js

stdlib-js/math-base-tools

Standard library basic mathematical tools.

JavaScript
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Apache License 2.0
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Support the dependencies of stdlib-js/math-base-tools

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Evaluate a polynomial using double-precision floating-point arithmetic.
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Compute the sum of an infinite series.
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Define a read-only property.
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Create a zero-filled array having a specified length.
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Check if the runtime is a web browser.
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Test if a value is a number having an integer value.
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Test if a value is a string.
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Insert array element values into a format string and print the result.
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Difference between one and the smallest value greater than one that can be represented as a single-precision floating-point number.
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Difference between one and the smallest value greater than one that can be represented as a double-precision floating-point number.
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Double-precision floating-point negative infinity.
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Double-precision floating-point positive infinity.
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Read the entire contents of a file.
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Test if a finite double-precision floating-point number is an integer.
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Test if a double-precision floating-point numeric value is NaN.
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Test if a single-precision floating-point numeric value is NaN.
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Compute the absolute value of a double-precision floating-point number.
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Compute the absolute value of a single-precision floating-point number.
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Compute the binomial coefficient.
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Round a double-precision floating-point number toward positive infinity.
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Compute the nth Fibonacci number.
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Round a double-precision floating-point number toward negative infinity.
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Evaluate the natural logarithm of 1+x.
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Compute the nth Lucas number.
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Compute the nth negaFibonacci number.
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Compute the nth negaLucas number.
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Exponential function.
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Round a numeric value to the nearest integer.
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Evaluate the tangent of a number.
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Convert a double-precision floating-point number to the nearest single-precision floating-point number.
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Discrete uniform distributed pseudorandom numbers.
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Uniformly distributed pseudorandom numbers between 0 and 1.
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Uniformly distributed pseudorandom numbers.
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Continued fraction approximation.
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Evaluate a Fibonacci polynomial.
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Evaluate a physicist's Hermite polynomial.
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Evaluate a normalized Hermite polynomial using double-precision floating-point arithmetic.
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Evaluate a Lucas polynomial.
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Evaluate a rational function using single-precision floating-point arithmetic.
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Function constructor.
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Create an array containing pseudorandom numbers drawn from a discrete uniform distribution.
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Evaluate a rational function using double-precision floating-point arithmetic.
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Create an array containing pseudorandom numbers drawn from a continuous uniform distribution.
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Apply a unary function to a double-precision floating-point strided input array and assign results to a double-precision floating-point strided output array.
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Smallest positive normalized single-precision floating-point number.
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Evaluate a polynomial using single-precision floating-point arithmetic.
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Detect native generator function support.

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