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log.js
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import { factory } from '../../utils/factory.js'
import { promoteLogarithm } from '../../utils/bigint.js'
import { logNumber } from '../../plain/number/index.js'
const name = 'log'
const dependencies = ['config', 'typed', 'typeOf', 'divideScalar', 'Complex']
const nlg16 = Math.log(16)
export const createLog = /* #__PURE__ */ factory(name, dependencies, ({ typed, typeOf, config, divideScalar, Complex }) => {
/**
* Calculate the logarithm of a value.
*
* To avoid confusion with the matrix logarithm, this function does not
* apply to matrices.
*
* Syntax:
*
* math.log(x)
* math.log(x, base)
*
* Examples:
*
* math.log(3.5) // returns 1.252762968495368
* math.exp(math.log(2.4)) // returns 2.4
*
* math.pow(10, 4) // returns 10000
* math.log(10000, 10) // returns 4
* math.log(10000) / math.log(10) // returns 4
*
* math.log(1024, 2) // returns 10
* math.pow(2, 10) // returns 1024
*
* See also:
*
* exp, log2, log10, log1p
*
* @param {number | BigNumber | Fraction | Complex} x
* Value for which to calculate the logarithm.
* @param {number | BigNumber | Fraction | Complex} [base=e]
* Optional base for the logarithm. If not provided, the natural
* logarithm of `x` is calculated.
* @return {number | BigNumber | Fraction | Complex}
* Returns the logarithm of `x`
*/
function complexLog (c) {
return c.log()
}
function complexLogNumber (x) {
return complexLog(new Complex(x, 0))
}
return typed(name, {
number: function (x) {
if (x >= 0 || config.predictable) {
return logNumber(x)
} else {
// negative value -> complex value computation
return complexLogNumber(x)
}
},
bigint: promoteLogarithm(nlg16, logNumber, config, complexLogNumber),
Complex: complexLog,
BigNumber: function (x) {
if (!x.isNegative() || config.predictable) {
return x.ln()
} else {
// downgrade to number, return Complex valued result
return complexLogNumber(x.toNumber())
}
},
'any, any': typed.referToSelf(self => (x, base) => {
// calculate logarithm for a specified base, log(x, base)
if (typeOf(x) === 'Fraction' && typeOf(base) === 'Fraction') {
const result = x.log(base)
if (result !== null) {
return result
}
}
return divideScalar(self(x), self(base))
})
})
})