Spelling in embedded docs

HISTORY.md

@@ -516,7 +516,7 @@ Non-breaking changes:
 
 # 2022-05-24, version 10.6.0
 
-- Implementation of fourier transform functions `fft` and `ifft` (#2540).
+- Implementation of Fourier transform functions `fft` and `ifft` (#2540).
   Thanks @HanchaiN.
 - Fix TypeScript types not being listed in the exported fields (#2569).
   Thanks @mattvague.

src/expression/embeddedDocs/embeddedDocs.js

@@ -293,15 +293,15 @@ export const embeddedDocs = {
   vacuumImpedance: { description: 'Characteristic impedance of vacuum', examples: ['vacuumImpedance'] },
   coulomb: { description: 'Coulomb\'s constant', examples: ['coulomb'] },
   elementaryCharge: { description: 'Elementary charge', examples: ['elementaryCharge'] },
-  bohrMagneton: { description: 'Borh magneton', examples: ['bohrMagneton'] },
+  bohrMagneton: { description: 'Bohr magneton', examples: ['bohrMagneton'] },
   conductanceQuantum: { description: 'Conductance quantum', examples: ['conductanceQuantum'] },
   inverseConductanceQuantum: { description: 'Inverse conductance quantum', examples: ['inverseConductanceQuantum'] },
   // josephson: {description: 'Josephson constant', examples: ['josephson']},
   magneticFluxQuantum: { description: 'Magnetic flux quantum', examples: ['magneticFluxQuantum'] },
   nuclearMagneton: { description: 'Nuclear magneton', examples: ['nuclearMagneton'] },
   klitzing: { description: 'Von Klitzing constant', examples: ['klitzing'] },
 
-  bohrRadius: { description: 'Borh radius', examples: ['bohrRadius'] },
+  bohrRadius: { description: 'Bohr radius', examples: ['bohrRadius'] },
   classicalElectronRadius: { description: 'Classical electron radius', examples: ['classicalElectronRadius'] },
   electronMass: { description: 'Electron mass', examples: ['electronMass'] },
   fermiCoupling: { description: 'Fermi coupling constant', examples: ['fermiCoupling'] },

src/expression/embeddedDocs/function/arithmetic/hypot.js

@@ -5,7 +5,7 @@ export const hypotDocs = {
     'hypot(a, b, c, ...)',
     'hypot([a, b, c, ...])'
   ],
-  description: 'Calculate the hypotenusa of a list with values. ',
+  description: 'Calculate the hypotenuse of a list with values.',
   examples: [
     'hypot(3, 4)',
     'sqrt(3^2 + 4^2)',

src/expression/embeddedDocs/function/matrix/diff.js

@@ -7,7 +7,7 @@ export const diffDocs = {
   ],
   description: [
     'Create a new matrix or array with the difference of the passed matrix or array.',
-    'Dim parameter is optional and used to indicant the dimension of the array/matrix to apply the difference',
+    'Dim parameter is optional and used to indicate the dimension of the array/matrix to apply the difference',
     'If no dimension parameter is passed it is assumed as dimension 0',
     'Dimension is zero-based in javascript and one-based in the parser',
     'Arrays must be \'rectangular\' meaning arrays like [1, 2]',

src/expression/embeddedDocs/function/matrix/fft.js

@@ -4,7 +4,7 @@ export const fftDocs = {
   syntax: [
     'fft(x)'
   ],
-  description: 'Calculate N-dimensional fourier transform',
+  description: 'Calculate N-dimensional Fourier transform',
   examples: [
     'fft([[1, 0], [1, 0]])'
   ],

src/expression/embeddedDocs/function/matrix/ifft.js

@@ -4,7 +4,7 @@ export const ifftDocs = {
   syntax: [
     'ifft(x)'
   ],
-  description: 'Calculate N-dimensional inverse fourier transform',
+  description: 'Calculate N-dimensional inverse Fourier transform',
   examples: [
     'ifft([[2, 2], [0, 0]])'
   ],

src/expression/embeddedDocs/function/matrix/kron.js

@@ -4,7 +4,7 @@ export const kronDocs = {
   syntax: [
     'kron(x, y)'
   ],
-  description: 'Calculates the kronecker product of 2 matrices or vectors.',
+  description: 'Calculates the Kronecker product of 2 matrices or vectors.',
   examples: [
     'kron([[1, 0], [0, 1]], [[1, 2], [3, 4]])',
     'kron([1,1], [2,3,4])'

src/expression/embeddedDocs/function/special/zeta.js

@@ -4,7 +4,7 @@ export const zetaDocs = {
   syntax: [
     'zeta(s)'
   ],
-  description: 'Compute the Riemann Zeta Function using an infinite series and Riemanns Functional Equation for the entire complex plane',
+  description: 'Compute the Riemann Zeta Function using an infinite series and Riemann\'s Functional Equation for the entire complex plane',
   examples: [
     'zeta(0.2)',
     'zeta(-0.5)',

src/expression/embeddedDocs/function/statistics/quantileSeq.js

@@ -6,7 +6,7 @@ export const quantileSeqDocs = {
     'quantileSeq(A, [prob1, prob2, ...][, sorted])',
     'quantileSeq(A, N[, sorted])'
   ],
-  description: 'Compute the prob order quantile of a matrix or a list with values. The sequence is sorted and the middle value is returned. Supported types of sequence values are: Number, BigNumber, Unit Supported types of probablity are: Number, BigNumber. \n\nIn case of a (multi dimensional) array or matrix, the prob order quantile of all elements will be calculated.',
+  description: 'Compute the prob order quantile of a matrix or a list with values. The sequence is sorted and the middle value is returned. Supported types of sequence values are: Number, BigNumber, Unit Supported types of probability are: Number, BigNumber. \n\nIn case of a (multi dimensional) array or matrix, the prob order quantile of all elements will be calculated.',
   examples: [
     'quantileSeq([3, -1, 5, 7], 0.5)',
     'quantileSeq([3, -1, 5, 7], [1/3, 2/3])',

src/expression/embeddedDocs/function/trigonometry/acoth.js

@@ -4,7 +4,7 @@ export const acothDocs = {
   syntax: [
     'acoth(x)'
   ],
-  description: 'Calculate the hyperbolic arccotangent of a value, defined as `acoth(x) = (ln((x+1)/x) + ln(x/(x-1))) / 2`.',
+  description: 'Calculate the inverse hyperbolic tangent of a value, defined as `acoth(x) = (ln((x+1)/x) + ln(x/(x-1))) / 2`.',
   examples: [
     'acoth(2)',
     'acoth(0.5)'

src/expression/embeddedDocs/function/trigonometry/acsch.js

@@ -4,7 +4,7 @@ export const acschDocs = {
   syntax: [
     'acsch(x)'
   ],
-  description: 'Calculate the hyperbolic arccosecant of a value, defined as `acsch(x) = ln(1/x + sqrt(1/x^2 + 1))`.',
+  description: 'Calculate the inverse hyperbolic cosecant of a value, defined as `acsch(x) = ln(1/x + sqrt(1/x^2 + 1))`.',
   examples: [
     'acsch(0.5)'
   ],

src/expression/embeddedDocs/function/utils/clone.js

@@ -4,7 +4,7 @@ export const cloneDocs = {
   syntax: [
     'clone(x)'
   ],
-  description: 'Clone a variable. Creates a copy of primitive variables,and a deep copy of matrices',
+  description: 'Clone a variable. Creates a copy of primitive variables, and a deep copy of matrices',
   examples: [
     'clone(3.5)',
     'clone(2 - 4i)',

src/function/arithmetic/hypot.js

@@ -16,11 +16,11 @@ const dependencies = [
 
 export const createHypot = /* #__PURE__ */ factory(name, dependencies, ({ typed, abs, addScalar, divideScalar, multiplyScalar, sqrt, smaller, isPositive }) => {
   /**
-   * Calculate the hypotenusa of a list with values. The hypotenusa is defined as:
+   * Calculate the hypotenuse of a list with values. The hypotenuse is defined as:
    *
    *     hypot(a, b, c, ...) = sqrt(a^2 + b^2 + c^2 + ...)
    *
-   * For matrix input, the hypotenusa is calculated for all values in the matrix.
+   * For matrix input, the hypotenuse is calculated for all values in the matrix.
    *
    * Syntax:
    *
@@ -52,7 +52,7 @@ export const createHypot = /* #__PURE__ */ factory(name, dependencies, ({ typed,
   })
 
   /**
-   * Calculate the hypotenusa for an Array with values
+   * Calculate the hypotenuse for an Array with values
    * @param {Array.<number | BigNumber>} args
    * @return {number | BigNumber} Returns the result
    * @private

src/function/matrix/fft.js

@@ -34,7 +34,7 @@ export const createFft = /* #__PURE__ */ factory(name, dependencies, ({
   log2
 }) => {
   /**
-   * Calculate N-dimensional fourier transform
+   * Calculate N-dimensional Fourier transform
    *
    * Syntax:
    *
@@ -50,7 +50,7 @@ export const createFft = /* #__PURE__ */ factory(name, dependencies, ({
    *      ifft
    *
    * @param {Array | Matrix} arr    An array or matrix
-   * @return {Array | Matrix}       N-dimensional fourier transformation of the array
+   * @return {Array | Matrix}       N-dimensional Fourier transformation of the array
    */
   return typed(name, {
     Array: _ndFft,

src/function/matrix/ifft.js

@@ -17,7 +17,7 @@ export const createIfft = /* #__PURE__ */ factory(name, dependencies, ({
   conj
 }) => {
   /**
-   * Calculate N-dimensional inverse fourier transform
+   * Calculate N-dimensional inverse Fourier transform
    *
    * Syntax:
    *
@@ -32,7 +32,7 @@ export const createIfft = /* #__PURE__ */ factory(name, dependencies, ({
    *      fft
    *
    * @param {Array | Matrix} arr    An array or matrix
-   * @return {Array | Matrix}       N-dimensional fourier transformation of the array
+   * @return {Array | Matrix}       N-dimensional Fourier transformation of the array
    */
   return typed(name, {
     'Array | Matrix': function (arr) {

src/function/matrix/kron.js

@@ -6,7 +6,7 @@ const dependencies = ['typed', 'matrix', 'multiplyScalar']
 
 export const createKron = /* #__PURE__ */ factory(name, dependencies, ({ typed, matrix, multiplyScalar }) => {
   /**
-     * Calculates the kronecker product of 2 matrices or vectors.
+     * Calculates the Kronecker product of 2 matrices or vectors.
      *
      * NOTE: If a one dimensional vector / matrix is given, it will be
      * wrapped so its two dimensions.
@@ -30,7 +30,7 @@ export const createKron = /* #__PURE__ */ factory(name, dependencies, ({ typed,
      *
      * @param  {Array | Matrix} x     First vector
      * @param  {Array | Matrix} y     Second vector
-     * @return {Array | Matrix}       Returns the kronecker product of `x` and `y`
+     * @return {Array | Matrix}       Returns the Kronecker product of `x` and `y`
      */
   return typed(name, {
     'Matrix, Matrix': function (x, y) {
@@ -49,10 +49,10 @@ export const createKron = /* #__PURE__ */ factory(name, dependencies, ({ typed,
   })
 
   /**
-     * Calculate the kronecker product of two matrices / vectors
+     * Calculate the Kronecker product of two matrices / vectors
      * @param {Array} a  First vector
      * @param {Array} b  Second vector
-     * @returns {Array} Returns the kronecker product of x and y
+     * @returns {Array} Returns the Kronecker product of x and y
      * @private
      */
   function _kron (a, b) {

src/function/trigonometry/acoth.js

@@ -6,10 +6,10 @@ const dependencies = ['typed', 'config', 'Complex', 'BigNumber']
 
 export const createAcoth = /* #__PURE__ */ factory(name, dependencies, ({ typed, config, Complex, BigNumber }) => {
   /**
-   * Calculate the hyperbolic arccotangent of a value,
+   * Calculate the inverse hyperbolic tangent of a value,
    * defined as `acoth(x) = atanh(1/x) = (ln((x+1)/x) + ln(x/(x-1))) / 2`.
    *
-   * To avoid confusion with the matrix hyperbolic arccotangent, this
+   * To avoid confusion with the matrix inverse hyperbolic tangent, this
    * function does not apply to matrices.
    *
    * Syntax:

src/function/trigonometry/acsch.js

@@ -6,10 +6,10 @@ const dependencies = ['typed', 'BigNumber']
 
 export const createAcsch = /* #__PURE__ */ factory(name, dependencies, ({ typed, BigNumber }) => {
   /**
-   * Calculate the hyperbolic arccosecant of a value,
+   * Calculate the inverse hyperbolic cosecant of a value,
    * defined as `acsch(x) = asinh(1/x) = ln(1/x + sqrt(1/x^2 + 1))`.
    *
-   * To avoid confusion with the matrix hyperbolic arccosecant, this function
+   * To avoid confusion with the matrix inverse hyperbolic cosecant, this function
    * does not apply to matrices.
    *
    * Syntax:

test/unit-tests/function/matrix/fft.test.js

@@ -5,14 +5,14 @@ import math from '../../../../src/defaultInstance.js'
 const fft = math.fft
 
 describe('fft', function () {
-  it('should calculate 1-dimensional fourier transformation', function () {
+  it('should calculate 1-dimensional Fourier transformation', function () {
     const in1 = [1, math.complex(2, -1), math.complex(0, -1), math.complex(-1, 2)]
     const out1 = [2, math.complex(-2, -2), math.complex(0, -2), math.complex(4, 4)]
     approxDeepEqual(fft(in1.valueOf()), out1.valueOf())
     approxDeepEqual(fft(math.matrix(in1)), math.matrix(out1))
   })
 
-  it('should calculate multidimensional fourier transformation', function () {
+  it('should calculate multidimensional Fourier transformation', function () {
     const in1 = [
       [1, 0],
       [1, 0]
@@ -39,7 +39,7 @@ describe('fft', function () {
     approxDeepEqual(fft(math.matrix(in2)), math.matrix(out2))
   })
 
-  it('should calculate 1-dimensional non-power-of-2 fourier transformation', function () {
+  it('should calculate 1-dimensional non-power-of-2 Fourier transformation', function () {
     const in1 = [1, 2, 3]
     const out1 = [math.complex(6, -0), math.complex(-1.5, 0.8660254), math.complex(-1.5, -0.8660254)]
     approxDeepEqual(fft(in1.valueOf()), out1.valueOf())
@@ -53,7 +53,7 @@ describe('fft', function () {
     approxDeepEqual(fft(math.matrix(in2)), math.matrix(out2))
   })
 
-  it('should calculate multidimensional non-power-of-2 fourier transformation', function () {
+  it('should calculate multidimensional non-power-of-2 Fourier transformation', function () {
     const in1 = [
       [1, 2, 3],
       [4, 5, 6],

test/unit-tests/function/matrix/ifft.test.js

@@ -5,11 +5,11 @@ import math from '../../../../src/defaultInstance.js'
 const ifft = math.ifft
 
 describe('ifft', function () {
-  it('should calculate 1-dimensional inverse fourier transformation', function () {
+  it('should calculate 1-dimensional inverse Fourier transformation', function () {
     approxDeepEqual(ifft([2, math.complex(-2, -2), math.complex(0, -2), math.complex(4, 4)]), [1, math.complex(2, -1), math.complex(0, -1), math.complex(-1, 2)])
   })
 
-  it('should calculate multidimensional inverse fourier transformation', function () {
+  it('should calculate multidimensional inverse Fourier transformation', function () {
     const in1 = [
       [1, 0],
       [1, 0]

test/unit-tests/function/matrix/kron.test.js

@@ -1,10 +1,10 @@
-// test kronecker product
+// test Kronecker product
 import assert from 'assert'
 
 import math from '../../../../src/defaultInstance.js'
 
 describe('kron', function () {
-  it('should calculate the kronecker product of two arrays', function () {
+  it('should calculate the Kronecker product of two arrays', function () {
     assert.deepStrictEqual(math.kron([
       [1, -2, 1],
       [1, 1, 0]
@@ -67,36 +67,36 @@ describe('kron', function () {
   })
 
   describe('DenseMatrix', function () {
-    it('should calculate the kronecker product of a 2d matrix (1)', function () {
+    it('should calculate the Kronecker product of a 2d matrix (1)', function () {
       const y = math.matrix([[1, 1], [1, 1]])
       const x = math.matrix([[1, 0], [0, 1]])
       const product = math.kron(x, y)
       assert.deepStrictEqual(product.valueOf(), [[1, 1, 0, 0], [1, 1, 0, 0], [0, 0, 1, 1], [0, 0, 1, 1]])
     })
 
-    it('should calculate the kronecker product of a 2d matrix (2)', function () {
+    it('should calculate the Kronecker product of a 2d matrix (2)', function () {
       const y = math.matrix([[1, 2], [55, -1]])
       const x = math.matrix([[13, 0], [0, -1]])
       const product = math.kron(x, y)
       assert.deepStrictEqual(product.toArray(), [[13, 26, 0, 0], [715, -13, 0, -0], [0, 0, -1, -2], [0, -0, -55, 1]])
     })
 
-    it('should throw an error for invalid kronecker product of matrix', function () {
+    it('should throw an error for invalid Kronecker product of matrix', function () {
       const y = math.matrix([[[]]])
       const x = math.matrix([[[1, 1], [1, 1]], [[1, 1], [1, 1]]])
       assert.throws(function () { math.kron(y, x) })
     })
   })
 
   describe('SparseMatrix', function () {
-    it('should calculate the kronecker product of a 2d matrix (1)', function () {
+    it('should calculate the Kronecker product of a 2d matrix (1)', function () {
       const y = math.sparse([[1, 1], [1, 1]])
       const x = math.sparse([[1, 0], [0, 1]])
       const product = math.kron(x, y)
       assert.deepStrictEqual(product.valueOf(), [[1, 1, 0, 0], [1, 1, 0, 0], [0, 0, 1, 1], [0, 0, 1, 1]])
     })
 
-    it('should calculate the kronecker product of a 2d matrix (2)', function () {
+    it('should calculate the Kronecker product of a 2d matrix (2)', function () {
       const y = math.matrix([[1, 2], [55, -1]], 'sparse')
       const x = math.matrix([[13, 0], [0, -1]], 'sparse')
       const product = math.kron(x, y)