- [`anyBy( arrays, predicate[, thisArg] )`][@stdlib/ndarray/base/any-by]: test whether at least one element in an ndarray passes a test implemented by a predicate function. - [`any( arrays )`][@stdlib/ndarray/base/any]: test whether at least one element in an ndarray is truthy. - [`appendSingletonDimensions( x, n, writable )`][@stdlib/ndarray/base/append-singleton-dimensions]: append singleton dimensions. - [`assignScalar( arrays )`][@stdlib/ndarray/base/assign-scalar]: assign a scalar value to every element of an output ndarray. - [`assign( arrays )`][@stdlib/ndarray/base/assign]: assign elements in an input ndarray to elements in an output ndarray. - [`atleast1d( arrays )`][@stdlib/ndarray/base/atleast1d]: convert a list of values (scalars and/or ndarrays) to ndarrays having at least one dimension. - [`atleast2d( arrays )`][@stdlib/ndarray/base/atleast2d]: convert a list of values (scalars and/or ndarrays) to ndarrays having at least two dimensions. - [`atleast3d( arrays )`][@stdlib/ndarray/base/atleast3d]: convert a list of values (scalars and/or ndarrays) to ndarrays having at least three dimensions. - [`atleastnd( ndims, arrays )`][@stdlib/ndarray/base/atleastnd]: convert a list of values (scalars and/or ndarrays) to ndarrays having at least a specified number of dimensions. - [`binaryInputCastingDataType( idtype1, idtype2, odtype, policy )`][@stdlib/ndarray/base/binary-input-casting-dtype]: resolve the casting data type for an input ndarray provided to a binary function. - [`binaryLoopOrder( shape, stridesX, stridesY, stridesZ )`][@stdlib/ndarray/base/binary-loop-interchange-order]: reorder ndarray dimensions and associated strides for loop interchange. - [`binaryOutputDataType( xdtype, ydtype, policy )`][@stdlib/ndarray/base/binary-output-dtype]: resolve the output ndarray data type for a binary function. - [`binaryReduceStrided1dDispatchFactory( table, idtypes, odtypes, policies )`][@stdlib/ndarray/base/binary-reduce-strided1d-dispatch-factory]: create a function for performing reduction on two input ndarrays. - [`binaryReduceStrided1dDispatch( table, idtypes, odtypes, policies )`][@stdlib/ndarray/base/binary-reduce-strided1d-dispatch]: constructor for performing a reduction on two input ndarrays. - [`binaryReduceStrided1d( fcn, arrays, dims[, options] )`][@stdlib/ndarray/base/binary-reduce-strided1d]: perform a reduction over a list of specified dimensions in two input ndarrays via a one-dimensional strided array binary reduction function and assign results to a provided output ndarray. - [`binaryBlockSize( dtypeX, dtypeY, dtypeZ )`][@stdlib/ndarray/base/binary-tiling-block-size]: resolve a loop block size for multi-dimensional array tiled loops. - [`binary( arrays, fcn )`][@stdlib/ndarray/base/binary]: apply a binary callback to elements in input ndarrays and assign results to elements in an output ndarray. - [`bind2vind( shape, strides, offset, order, idx, mode )`][@stdlib/ndarray/base/bind2vind]: convert a linear index in an underlying data buffer to a linear index in an array view. - [`broadcastArrayExceptDimensions( arr, shape, dims )`][@stdlib/ndarray/base/broadcast-array-except-dimensions]: broadcast an input ndarray to a target shape while keeping a list of specified dimensions unchanged. - [`broadcastArray( arr, shape )`][@stdlib/ndarray/base/broadcast-array]: broadcast an ndarray to a specified shape. - [`broadcastArrays( arrays )`][@stdlib/ndarray/base/broadcast-arrays]: broadcast ndarrays to a common shape. - [`broadcastScalarLike( x, value )`][@stdlib/ndarray/base/broadcast-scalar-like]: broadcast a scalar value to an ndarray having the same shape and data type as a provided input ndarray. - [`broadcastScalar( value, dtype, shape, order )`][@stdlib/ndarray/base/broadcast-scalar]: broadcast a scalar value to an ndarray having a specified shape. - [`broadcastShapes( shapes )`][@stdlib/ndarray/base/broadcast-shapes]: broadcast array shapes to a single shape. - [`bufferCtors( dtype )`][@stdlib/ndarray/base/buffer-ctors]: ndarray data buffer constructors. - [`bufferDataTypeEnum( buffer )`][@stdlib/ndarray/base/buffer-dtype-enum]: return the data type enumeration constant of an ndarray data buffer. - [`bufferDataType( buffer )`][@stdlib/ndarray/base/buffer-dtype]: return the data type of an ndarray data buffer. - [`buffer( dtype, size )`][@stdlib/ndarray/base/buffer]: create a contiguous linear ndarray data buffer. - [`bytesPerElement( dtype )`][@stdlib/ndarray/base/bytes-per-element]: return the number of bytes per element for a provided underlying ndarray data type. - [`char2dtype( [ch] )`][@stdlib/ndarray/base/char2dtype]: return the data type string associated with a provided single letter character abbreviation. - [`clampIndex( idx, max )`][@stdlib/ndarray/base/clamp-index]: restrict an index to the interval `[0,max]`. - [`complementShape( shape, dims )`][@stdlib/ndarray/base/complement-shape]: return the shape defined by the dimensions which are not included in a list of dimensions. - [`consensusOrder( strides )`][@stdlib/ndarray/base/consensus-order]: resolve the most common underlying storage layout. - [`copy( x )`][@stdlib/ndarray/base/copy]: copy an input ndarray to a new ndarray having the same shape and data type. - [`countFalsy( arrays )`][@stdlib/ndarray/base/count-falsy]: count the number of falsy elements in an ndarray. - [`countIf( arrays, predicate[, thisArg] )`][@stdlib/ndarray/base/count-if]: count the number of elements in an ndarray which pass a test implemented by a predicate function. - [`countTruthy( arrays )`][@stdlib/ndarray/base/count-truthy]: count the number of truthy elements in an ndarray. - [`ndarray( dtype, buffer, shape, strides, offset, order )`][@stdlib/ndarray/base/ctor]: create a multidimensional array. - [`data( x )`][@stdlib/ndarray/base/data-buffer]: return the underlying data buffer of a provided ndarray. - [`descriptor( dtype, buffer, shape, strides, offset, order )`][@stdlib/ndarray/base/descriptor]: create a plain object describing how to interpret a data buffer as an n-dimensional array. - [`diagonal( x, dims, k, writable )`][@stdlib/ndarray/base/diagonal]: return a view of the diagonal of a matrix (or stack of matrices). - [`dtypeAlignment( [dtype] )`][@stdlib/ndarray/base/dtype-alignment]: return the alignment (in bytes) for an underlying array data type. - [`dtypeChar( [dtype] )`][@stdlib/ndarray/base/dtype-char]: return the single letter abbreviation for an underlying array data type. - [`dtypeChars( [kind] )`][@stdlib/ndarray/base/dtype-chars]: list of ndarray data type single letter character abbreviations. - [`dtypeDesc( [dtype] )`][@stdlib/ndarray/base/dtype-desc]: return the description for a specified data type. - [`dtypeEnum2Str( dtype )`][@stdlib/ndarray/base/dtype-enum2str]: return the data type string associated with an ndarray data type enumeration constant. - [`dtypeEnums()`][@stdlib/ndarray/base/dtype-enums]: return an object mapping supported data type strings to enumeration constants. - [`dtypeObjects()`][@stdlib/ndarray/base/dtype-objects]: return an object mapping supported data type strings to data type objects. - [`dtypeResolveEnum( dtype )`][@stdlib/ndarray/base/dtype-resolve-enum]: return the enumeration constant associated with a supported ndarray data type value. - [`dtypeResolveStr( dtype )`][@stdlib/ndarray/base/dtype-resolve-str]: return the data type string associated with a supported ndarray data type value. - [`dtypeStr2Enum( dtype )`][@stdlib/ndarray/base/dtype-str2enum]: return the enumeration constant associated with an ndarray data type string. - [`dtypeStrings( [kind] )`][@stdlib/ndarray/base/dtype-strings]: list of ndarray data type strings. - [`dtype( x )`][@stdlib/ndarray/base/dtype]: return the data type of a provided ndarray. - [`dtype2c( dtype )`][@stdlib/ndarray/base/dtype2c]: return the C data type associated with a provided data type value. - [`dtypes2enums( dtypes )`][@stdlib/ndarray/base/dtypes2enums]: resolve a list of data type enumeration constants. - [`dtypes2signatures( dtypes, nin, nout )`][@stdlib/ndarray/base/dtypes2signatures]: transform a list of array argument data types into a list of signatures. - [`dtypes2strings( dtypes )`][@stdlib/ndarray/base/dtypes2strings]: resolve a list of data type strings. - [`emptyLike( x )`][@stdlib/ndarray/base/empty-like]: create an uninitialized ndarray having the same shape and data type as a provided ndarray. - [`empty( dtype, shape, order )`][@stdlib/ndarray/base/empty]: create an uninitialized ndarray having a specified shape and data type. - [`everyBy( arrays, predicate[, thisArg] )`][@stdlib/ndarray/base/every-by]: test whether all elements in an ndarray pass a test implemented by a predicate function. - [`every( arrays )`][@stdlib/ndarray/base/every]: test whether every element in an ndarray is truthy. - [`expandDimensions( x, dim, writable )`][@stdlib/ndarray/base/expand-dimensions]: expand the shape of an array by inserting a new dimension of size one at a specified dimension index. - [`falsesLike( x )`][@stdlib/ndarray/base/falses-like]: create an ndarray filled with `false` values and having the same shape and data type as a provided ndarray. - [`falses( dtype, shape, order )`][@stdlib/ndarray/base/falses]: create an ndarray filled with `false` values and having a specified shape and data type. - [`fillBy( x, fcn[, thisArg] )`][@stdlib/ndarray/base/fill-by]: fill an input ndarray according to a callback function. - [`fillDiagonal( x, value, dims, k )`][@stdlib/ndarray/base/fill-diagonal]: fill a specified diagonal of a matrix (or stack of matrices) with a scalar value. - [`fill( x, value )`][@stdlib/ndarray/base/fill]: fill an input ndarray with a specified value. - [`find( arrays, predicate[, thisArg] )`][@stdlib/ndarray/base/find]: return the first element in an ndarray which passes a test implemented by a predicate function. - [`flag( x, name )`][@stdlib/ndarray/base/flag]: return a specified flag for a provided ndarray. - [`flags( x, copy )`][@stdlib/ndarray/base/flags]: return the flags of a provided ndarray. - [`flattenShapeFrom( shape, dim )`][@stdlib/ndarray/base/flatten-shape-from]: flatten a shape starting from a specified dimension. - [`flattenShape( shape, depth )`][@stdlib/ndarray/base/flatten-shape]: flatten a shape to a specified depth. - [`fliplr( x, writable )`][@stdlib/ndarray/base/fliplr]: return a view of an input ndarray in which the order of elements along the last dimension is reversed. - [`flipud( x, writable )`][@stdlib/ndarray/base/flipud]: return a view of an input ndarray in which the order of elements along the second-to-last dimension is reversed. - [`forEach( arrays, fcn[, thisArg] )`][@stdlib/ndarray/base/for-each]: invoke a callback function once for each element in an ndarray. - [`array2ndarray( buf, order )`][@stdlib/ndarray/base/from-array]: convert an array to a one-dimensional ndarray. - [`scalar2ndarrayLike( x, value )`][@stdlib/ndarray/base/from-scalar-like]: convert a scalar value to a zero-dimensional ndarray having the same data type as a provided ndarray. - [`scalar2ndarray( value, dtype, order )`][@stdlib/ndarray/base/from-scalar]: convert a scalar value to a zero-dimensional ndarray. - [`fullBy( dtype, shape, order, clbk[, thisArg] )`][@stdlib/ndarray/base/full-by]: create an ndarray filled according to a callback function and having a specified shape and data type. - [`full( value, dtype, shape, order )`][@stdlib/ndarray/base/full]: create an ndarray filled with a specified value and having a specified shape and data type. - [`includes( arrays )`][@stdlib/ndarray/base/includes]: test whether an ndarray contains a specified value. - [`ind( idx, max, mode )`][@stdlib/ndarray/base/ind]: return an index given an index mode. - [`ind2sub( shape, strides, offset, order, idx, mode )`][@stdlib/ndarray/base/ind2sub]: convert a linear index to an array of subscripts. - [`iterationOrder( strides )`][@stdlib/ndarray/base/iteration-order]: given a stride array, determine array iteration order. - [`loopOrder( shape, strides )`][@stdlib/ndarray/base/loop-interchange-order]: reorder ndarray dimensions and associated strides for loop interchange. - [`map( arrays, fcn[, thisArg] )`][@stdlib/ndarray/base/map]: apply a callback function to elements in an input ndarray and assign results to elements in an output ndarray. - [`maxViewBufferIndex( shape, strides, offset )`][@stdlib/ndarray/base/max-view-buffer-index]: compute the maximum linear index in an underlying data buffer accessible to an array view. - [`maybeBroadcastArrayExceptDimensions( arr, shape, dims )`][@stdlib/ndarray/base/maybe-broadcast-array-except-dimensions]: broadcast an ndarray to a specified shape while keeping a list of specified dimensions unchanged if and only if the specified shape differs from the provided ndarray's shape. - [`maybeBroadcastArray( arr, shape )`][@stdlib/ndarray/base/maybe-broadcast-array]: broadcast an ndarray to a specified shape if and only if the specified shape differs from the provided ndarray's shape. - [`maybeBroadcastArrays( arrays )`][@stdlib/ndarray/base/maybe-broadcast-arrays]: broadcast ndarrays to a common shape. - [`metaDataProps( meta, dtypes, obj )`][@stdlib/ndarray/base/meta-data-props]: define non-enumerable read-only properties which expose ndarray function meta data. - [`minSignedIntegerDataType( value )`][@stdlib/ndarray/base/min-signed-integer-dtype]: determine the minimum ndarray data type for storing a provided signed integer value. - [`minUnsignedIntegerDataType( value )`][@stdlib/ndarray/base/min-unsigned-integer-dtype]: determine the minimum ndarray data type for storing a provided unsigned integer value. - [`minViewBufferIndex( shape, strides, offset )`][@stdlib/ndarray/base/min-view-buffer-index]: compute the minimum linear index in an underlying data buffer accessible to an array view. - [`minmaxViewBufferIndex( shape, strides, offset )`][@stdlib/ndarray/base/minmax-view-buffer-index]: compute the minimum and maximum linear indices in an underlying data buffer which are accessible to an array view. - [`nansLike( x )`][@stdlib/ndarray/base/nans-like]: create a NaN-filled ndarray having the same shape and data type as a provided ndarray. - [`nans( dtype, shape, order )`][@stdlib/ndarray/base/nans]: create a NaN-filled ndarray having a specified shape and data type. - [`ndarraylike2descriptor( x )`][@stdlib/ndarray/base/ndarraylike2descriptor]: convert an ndarray-like object to an ndarray descriptor. - [`ndarraylike2ndarray( x )`][@stdlib/ndarray/base/ndarraylike2ndarray]: convert an ndarray-like object to an `ndarray`. - [`ndarraylike2object( x )`][@stdlib/ndarray/base/ndarraylike2object]: convert an `ndarray`-like object to an object likely to have the same "shape". - [`ndarraylike2scalar( x )`][@stdlib/ndarray/base/ndarraylike2scalar]: convert an ndarray-like object to a scalar value. - [`ndims( x )`][@stdlib/ndarray/base/ndims]: return the number of ndarray dimensions. - [`nextCartesianIndex( shape, order, idx, dim )`][@stdlib/ndarray/base/next-cartesian-index]: return the next Cartesian index (i.e., set of subscripts/dimension indices). - [`nonsingletonDimensions( shape )`][@stdlib/ndarray/base/nonsingleton-dimensions]: return the number of non-singleton dimensions. - [`normalizeIndex( idx, max )`][@stdlib/ndarray/base/normalize-index]: normalize an index to the interval `[0,max]`. - [`normalizeIndices( indices, max )`][@stdlib/ndarray/base/normalize-indices]: normalize a list of indices to the interval `[0,max]`. - [`nullaryLoopOrder( shape, stridesX )`][@stdlib/ndarray/base/nullary-loop-interchange-order]: reorder ndarray dimensions and associated strides for loop interchange. - [`nullaryStrided1dDispatchFactory( table, idtypes, odtypes[, options] )`][@stdlib/ndarray/base/nullary-strided1d-dispatch-factory]: create a function for applying a strided function to an ndarray. - [`nullaryStrided1dDispatch( table, idtypes, odtypes[, options] )`][@stdlib/ndarray/base/nullary-strided1d-dispatch]: constructor for applying a strided function to an ndarray. - [`nullaryStrided1d( fcn, arrays, dims[, options] )`][@stdlib/ndarray/base/nullary-strided1d]: apply a one-dimensional strided array function to a list of specified dimensions in an ndarray. - [`nullaryBlockSize( dtypeX )`][@stdlib/ndarray/base/nullary-tiling-block-size]: resolve a loop block size for multi-dimensional array tiled loops. - [`nullary( arrays, fcn )`][@stdlib/ndarray/base/nullary]: apply a nullary callback and assign results to elements in an output ndarray. - [`nullsLike( x )`][@stdlib/ndarray/base/nulls-like]: create a null-filled ndarray having the same shape and data type as a provided ndarray. - [`nulls( dtype, shape, order )`][@stdlib/ndarray/base/nulls]: create a null-filled ndarray having a specified shape and data type. - [`numelDimension( x, dim )`][@stdlib/ndarray/base/numel-dimension]: return the size (i.e., number of elements) of a specified dimension for a provided ndarray. - [`numel( shape )`][@stdlib/ndarray/base/numel]: return the number of elements in an array. - [`offset( x )`][@stdlib/ndarray/base/offset]: return the index offset specifying the underlying buffer index of the first iterated ndarray element. - [`onesLike( x )`][@stdlib/ndarray/base/ones-like]: create a ones-filled ndarray having the same shape and data type as a provided ndarray. - [`ones( dtype, shape, order )`][@stdlib/ndarray/base/ones]: create a ones-filled ndarray having a specified shape and data type. - [`order( x )`][@stdlib/ndarray/base/order]: return the layout order of a provided ndarray. - [`outputDataType( dtypes, policy )`][@stdlib/ndarray/base/output-dtype]: resolve the output ndarray data type from a list of input ndarray data types. - [`outputOrder( arrays )`][@stdlib/ndarray/base/output-order]: resolves the order (i.e. memory layout) of an output ndarray according to a list of input ndarrays. - [`outputPolicyEnum2Str( policy )`][@stdlib/ndarray/base/output-policy-enum2str]: return the policy string associated with an output ndarray data type policy enumeration constant. - [`outputPolicyResolveEnum( policy )`][@stdlib/ndarray/base/output-policy-resolve-enum]: return the enumeration constant associated with a supported ndarray data type policy value. - [`outputPolicyResolveStr( dtype )`][@stdlib/ndarray/base/output-policy-resolve-str]: return the policy string associated with a supported ndarray data type policy value. - [`outputPolicyStr2Enum( policy )`][@stdlib/ndarray/base/output-policy-str2enum]: return the enumeration constant associated with an output ndarray data type policy string. - [`pop( x, dim, writable )`][@stdlib/ndarray/base/pop]: return an array containing a truncated view of an input ndarray and a view of the last element(s) along a specified dimension. - [`prependSingletonDimensions( x, n, writable )`][@stdlib/ndarray/base/prepend-singleton-dimensions]: prepend singleton dimensions. - [`promoteDataTypes( dtypes )`][@stdlib/ndarray/base/promote-dtypes]: resolve the data type that results from applying promotion rules to a provided list of data types. - [`quaternaryLoopOrder( shape, stridesX, stridesY, stridesZ, stridesW, stridesU )`][@stdlib/ndarray/base/quaternary-loop-interchange-order]: reorder ndarray dimensions and associated strides for loop interchange. - [`quaternaryBlockSize( dtypeX, dtypeY, dtypeZ, dtypeW, dtypeU )`][@stdlib/ndarray/base/quaternary-tiling-block-size]: resolve a loop block size for multi-dimensional array tiled loops. - [`quinaryLoopOrder( shape, stridesX, stridesY, stridesZ, stridesW, stridesU, stridesV )`][@stdlib/ndarray/base/quinary-loop-interchange-order]: reorder ndarray dimensions and associated strides for loop interchange. - [`quinaryBlockSize( dtypeX, dtypeY, dtypeZ, dtypeW, dtypeU, dtypeV )`][@stdlib/ndarray/base/quinary-tiling-block-size]: resolve a loop block size for multi-dimensional array tiled loops. - [`reinterpretBoolean( x )`][@stdlib/ndarray/base/reinterpret-boolean]: reinterpret a boolean ndarray as an unsigned 8-bit integer ndarray. - [`reinterpretComplex( x )`][@stdlib/ndarray/base/reinterpret-complex]: reinterpret a complex-valued floating-point ndarray as a real-valued floating-point ndarray having the same precision. - [`reinterpretComplex128( x )`][@stdlib/ndarray/base/reinterpret-complex128]: reinterpret a double-precision complex floating-point ndarray as a real-valued double-precision floating-point ndarray containing interleaved real and imaginary components. - [`reinterpretComplex64( x )`][@stdlib/ndarray/base/reinterpret-complex64]: reinterpret a single-precision complex floating-point ndarray as a real-valued single-precision floating-point ndarray containing interleaved real and imaginary components. - [`removeSingletonDimensions( x, writable )`][@stdlib/ndarray/base/remove-singleton-dimensions]: remove singleton dimensions. - [`reverseDimension( x, dim, writable )`][@stdlib/ndarray/base/reverse-dimension]: return a view of an input ndarray in which the order of elements along a specified dimension is reversed. - [`reverseDimensions( x, dims, writable )`][@stdlib/ndarray/base/reverse-dimensions]: return a view of an input ndarray in which the order of elements along specified dimensions is reversed. - [`reverse( x, writable )`][@stdlib/ndarray/base/reverse]: return a view of an input ndarray in which the order of elements along each dimension is reversed. - [`rot180( x, dims, writable )`][@stdlib/ndarray/base/rot180]: rotate an ndarray 180 degrees in a specified plane. - [`rot90( x, dims, k, writable )`][@stdlib/ndarray/base/rot90]: rotate an ndarray 90 degrees in a specified plane. - [`rotl90( x, k, writable )`][@stdlib/ndarray/base/rotl90]: rotate a matrix (or a stack of matrices) 90 degrees counterclockwise. - [`rotr90( x, k, writable )`][@stdlib/ndarray/base/rotr90]: rotate a matrix (or a stack of matrices) 90 degrees clockwise. - [`serializeMetaData( x )`][@stdlib/ndarray/base/serialize-meta-data]: serialize ndarray meta data. - [`shape( x, copy )`][@stdlib/ndarray/base/shape]: return the shape of a provided ndarray. - [`shape2strides( shape, order )`][@stdlib/ndarray/base/shape2strides]: generate a stride array from an array shape. - [`shift( x, dim, writable )`][@stdlib/ndarray/base/shift]: return an array containing a truncated view of an input ndarray and a view of the first element(s) along a specified dimension. - [`singletonDimensions( shape )`][@stdlib/ndarray/base/singleton-dimensions]: return the number of singleton dimensions. - [`sliceAssign( x, y, slice, strict )`][@stdlib/ndarray/base/slice-assign]: assign element values from a broadcasted input `ndarray` to corresponding elements in an output `ndarray` view. - [`sliceDimensionFrom( x, dim, start, strict, writable )`][@stdlib/ndarray/base/slice-dimension-from]: return a shifted view of an input ndarray along a specified dimension. - [`sliceDimensionTo( x, dim, stop, strict, writable )`][@stdlib/ndarray/base/slice-dimension-to]: return a truncated view of an input ndarray along a specified dimension. - [`sliceDimension( x, dim, slice, strict, writable )`][@stdlib/ndarray/base/slice-dimension]: return a view of an input ndarray when sliced along a specified dimension. - [`sliceFrom( x, start, strict, writable )`][@stdlib/ndarray/base/slice-from]: return a shifted view of an input ndarray. - [`sliceTo( x, stop, strict, writable )`][@stdlib/ndarray/base/slice-to]: return a truncated view of an input ndarray. - [`slice( x, slice, strict, writable )`][@stdlib/ndarray/base/slice]: return a view of an input ndarray. - [`someBy( arrays, predicate[, thisArg ] )`][@stdlib/ndarray/base/some-by]: test whether at least `n` elements in an ndarray pass a test implemented by a predicate function. - [`some( arrays )`][@stdlib/ndarray/base/some]: test whether at least `n` elements in an ndarray are truthy. - [`spreadDimensions( ndims, x, dims, writable )`][@stdlib/ndarray/base/spread-dimensions]: expand the shape of an array to a specified dimensionality by spreading its dimensions to specified dimension indices and inserting dimensions of size one for the remaining dimensions. - [`stride( x, dim )`][@stdlib/ndarray/base/stride]: return the stride along a specified dimension for a provided ndarray. - [`strides( x, copy )`][@stdlib/ndarray/base/strides]: return the strides of a provided ndarray. - [`strides2offset( shape, strides )`][@stdlib/ndarray/base/strides2offset]: determine the index offset which specifies the location of the first indexed value in a multidimensional array based on a stride array. - [`strides2order( strides )`][@stdlib/ndarray/base/strides2order]: determine the order of a multidimensional array based on a provided stride array. - [`sub2ind( shape, strides, offset, ...subscripts, mode )`][@stdlib/ndarray/base/sub2ind]: convert subscripts to a linear index. - [`ternaryLoopOrder( shape, stridesX, stridesY, stridesZ, stridesW )`][@stdlib/ndarray/base/ternary-loop-interchange-order]: reorder ndarray dimensions and associated strides for loop interchange. - [`ternaryOutputDataType( xdtype, ydtype, zdtype, policy )`][@stdlib/ndarray/base/ternary-output-dtype]: resolve the output ndarray data type for a ternary function. - [`ternaryBlockSize( dtypeX, dtypeY, dtypeZ, dtypeW )`][@stdlib/ndarray/base/ternary-tiling-block-size]: resolve a loop block size for multi-dimensional array tiled loops. - [`ternary( arrays, fcn )`][@stdlib/ndarray/base/ternary]: apply a ternary callback to elements in input ndarrays and assign results to elements in an output ndarray. - [`tile( x, reps )`][@stdlib/ndarray/base/tile]: return an ndarray created by repeating the elements of an input ndarray a specified number of times along each dimension. - [`blockSize( dtypes )`][@stdlib/ndarray/base/tiling-block-size]: resolve a loop block size for multi-dimensional array tiled loops. - [`ndarray2array( buffer, shape, strides, offset, order )`][@stdlib/ndarray/base/to-array]: convert an ndarray buffer to a generic array. - [`toFlippedlr( x )`][@stdlib/ndarray/base/to-flippedlr]: return a new ndarray where the order of elements along the last dimension of an input ndarray is reversed. - [`toFlippedud( x )`][@stdlib/ndarray/base/to-flippedud]: return a new ndarray where the order of elements along the second-to-last dimension of an input ndarray is reversed. - [`toNormalizedIndices( indices, max )`][@stdlib/ndarray/base/to-normalized-indices]: normalize a list of indices to the interval `[0,max]`. - [`toReversedDimension( x, dim )`][@stdlib/ndarray/base/to-reversed-dimension]: return a new ndarray where the order of elements of an input ndarray along a specified dimension is reversed. - [`toReversedDimensions( x, dims )`][@stdlib/ndarray/base/to-reversed-dimensions]: return a new ndarray where the order of elements of an input ndarray along specified dimensions is reversed. - [`toReversed( x )`][@stdlib/ndarray/base/to-reversed]: return a new ndarray where the order of elements of an input ndarray is reversed along each dimension. - [`toRot180( x, dims )`][@stdlib/ndarray/base/to-rot180]: return a new ndarray where an ndarray is rotated 180 degrees in a specified plane. - [`toRot90( x, dims, k )`][@stdlib/ndarray/base/to-rot90]: return a new ndarray where an ndarray is rotated 90 degrees in a specified plane. - [`toRotl90( x, k )`][@stdlib/ndarray/base/to-rotl90]: return a new ndarray where a matrix (or a stack of matrices) is rotated 90 degrees counterclockwise. - [`toRotr90( x, k )`][@stdlib/ndarray/base/to-rotr90]: return a new ndarray where a matrix (or a stack of matrices) is rotated 90 degrees clockwise. - [`toTransposed( x )`][@stdlib/ndarray/base/to-transposed]: return a new ndarray containing the elements of an input ndarray but whose last two dimensions are transposed. - [`toUnflattened( x, dim, sizes )`][@stdlib/ndarray/base/to-unflattened]: return a new ndarray in which a specified dimension of an input ndarray is expanded over multiple dimensions. - [`toUniqueNormalizedIndices( indices, max )`][@stdlib/ndarray/base/to-unique-normalized-indices]: return a list of unique indices after normalizing to the interval `[0,max]`. - [`transpose( x, writable )`][@stdlib/ndarray/base/transpose]: transpose a matrix (or a stack of matrices). - [`truesLike( x )`][@stdlib/ndarray/base/trues-like]: create an ndarray filled with `true` values and having the same shape and data type as a provided ndarray. - [`trues( dtype, shape, order )`][@stdlib/ndarray/base/trues]: create an ndarray filled with `true` values and having a specified shape and data type. - [`unaryAccumulate( arrays, initial, clbk )`][@stdlib/ndarray/base/unary-accumulate]: perform a reduction over elements in an input ndarray. - [`unaryAddonDispatch( addon, fallback )`][@stdlib/ndarray/base/unary-addon-dispatch]: dispatch to a native add-on applying a unary function to an input ndarray. - [`unaryBy( arrays, fcn, clbk[, thisArg] )`][@stdlib/ndarray/base/unary-by]: apply a unary function to each element in an input ndarray according to a callback function and assign results to elements in an output ndarray. - [`unaryInputCastingDataType( idtype, odtype, policy )`][@stdlib/ndarray/base/unary-input-casting-dtype]: resolve the input ndarray casting data type for a unary function. - [`unaryLoopOrder( shape, stridesX, stridesY )`][@stdlib/ndarray/base/unary-loop-interchange-order]: reorder ndarray dimensions and associated strides for loop interchange. - [`unaryOutputDataType( dtype, policy )`][@stdlib/ndarray/base/unary-output-dtype]: resolve the output ndarray data type for a unary function. - [`unaryReduceStrided1dAssignStruct( fcn, arrays, dims[, options] )`][@stdlib/ndarray/base/unary-reduce-strided1d-assign-struct]: perform a reduction over a list of specified dimensions in an input ndarray via a one-dimensional strided array reduction function which accepts an output `struct` object and assign results to a provided output ndarray. - [`unaryReduceStrided1dBy( fcn, arrays, dims[, options], clbk[, thisArg] )`][@stdlib/ndarray/base/unary-reduce-strided1d-by]: perform a reduction over a list of specified dimensions in an input ndarray via a one-dimensional strided array reduction function accepting a callback and assign results to a provided output ndarray. - [`unaryReduceStrided1dDispatchByFactory( table, idtypes, odtypes, policies )`][@stdlib/ndarray/base/unary-reduce-strided1d-dispatch-by-factory]: create a function for performing a reduction on an input ndarray according to a callback function. - [`unaryReduceStrided1dDispatchBy( table, idtypes, odtypes, policies )`][@stdlib/ndarray/base/unary-reduce-strided1d-dispatch-by]: constructor for performing a reduction on an input ndarray according to a callback function. - [`unaryReduceStrided1dDispatchFactory( table, idtypes, odtypes, policies )`][@stdlib/ndarray/base/unary-reduce-strided1d-dispatch-factory]: create a function for performing a reduction on an input ndarray. - [`unaryReduceStrided1dDispatch( table, idtypes, odtypes, policies )`][@stdlib/ndarray/base/unary-reduce-strided1d-dispatch]: constructor for performing a reduction on an input ndarray. - [`unaryReduceStrided1d( fcn, arrays, dims[, options] )`][@stdlib/ndarray/base/unary-reduce-strided1d]: perform a reduction over a list of specified dimensions in an input ndarray via a one-dimensional strided array reduction function and assign results to a provided output ndarray. - [`unaryReduceSubarrayBy( fcn, arrays, dims[, options], clbk[, thisArg] )`][@stdlib/ndarray/base/unary-reduce-subarray-by]: perform a reduction over a list of specified dimensions in an input ndarray according to a callback function and assign results to a provided output ndarray. - [`unaryReduceSubarray( fcn, arrays, dims[, options] )`][@stdlib/ndarray/base/unary-reduce-subarray]: perform a reduction over a list of specified dimensions in an input ndarray and assign results to a provided output ndarray. - [`unaryStrided1dDispatchFactory( table, idtypes, odtypes, policies[, options] )`][@stdlib/ndarray/base/unary-strided1d-dispatch-factory]: create a function for applying a strided function an input ndarray. - [`unaryStrided1dDispatch( table, idtypes, odtypes, policies[, options] )`][@stdlib/ndarray/base/unary-strided1d-dispatch]: constructor for applying a strided function to an input ndarray. - [`unaryStrided1d( fcn, arrays, dims[, options] )`][@stdlib/ndarray/base/unary-strided1d]: apply a one-dimensional strided array function to a list of specified dimensions in an input ndarray and assign results to a provided output ndarray. - [`unaryBlockSize( dtypeX, dtypeY )`][@stdlib/ndarray/base/unary-tiling-block-size]: resolve a loop block size for multi-dimensional array tiled loops. - [`unary( arrays, fcn )`][@stdlib/ndarray/base/unary]: apply a unary callback to elements in an input ndarray and assign results to elements in an output ndarray. - [`unflattenShape( shape, dim, sizes )`][@stdlib/ndarray/base/unflatten-shape]: expand a dimension over multiple dimensions. - [`unflatten( x, dim, sizes, writable )`][@stdlib/ndarray/base/unflatten]: return a view of an input ndarray in which a specified dimension is expanded over multiple dimensions. - [`vind2bind( shape, strides, offset, order, idx, mode )`][@stdlib/ndarray/base/vind2bind]: convert a linear index in an array view to a linear index in an underlying data buffer. - [`wrapIndex( idx, max )`][@stdlib/ndarray/base/wrap-index]: wrap an index on the interval `[0,max]`. - [`zerosLike( x )`][@stdlib/ndarray/base/zeros-like]: create a zero-filled ndarray having the same shape and data type as a provided ndarray. - [`zeros( dtype, shape, order )`][@stdlib/ndarray/base/zeros]: create a zero-filled ndarray having a specified shape and data type. - [`zip2views1d( arrays, labels )`][@stdlib/ndarray/base/zip2views1d]: zip one or more one-dimensional ndarrays to an array of composite views.

- [`assert`][@stdlib/ndarray/base/assert]: base ndarray assertion utilities.