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Copy file name to clipboardExpand all lines: lib/node_modules/@stdlib/blas/base/README.md
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@@ -74,8 +74,8 @@ var o = blas;
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- <spanclass="signature">[`isamax( N, x, strideX )`][@stdlib/blas/base/isamax]</span><spanclass="delimiter">: </span><spanclass="description">find the index of the first element having the maximum absolute value.</span>
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- <spanclass="signature">[`sasum( N, x, stride )`][@stdlib/blas/base/sasum]</span><spanclass="delimiter">: </span><spanclass="description">compute the sum of absolute values (_L1_ norm).</span>
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- <spanclass="signature">[`saxpy( N, alpha, x, strideX, y, strideY )`][@stdlib/blas/base/saxpy]</span><spanclass="delimiter">: </span><spanclass="description">multiply a vector `x` by a constant `alpha` and add the result to `y`.</span>
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- <spanclass="signature">[`scasum( N, cx, strideX )`][@stdlib/blas/base/scasum]</span><spanclass="delimiter">: </span><spanclass="description">compute the sum of the absolute values of the real and imaginary components of a single-precision complex floating-point vector.</span>
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- <spanclass="signature">[`scnrm2( N, cx, strideX )`][@stdlib/blas/base/scnrm2]</span><spanclass="delimiter">: </span><spanclass="description">compute the L2-norm of a complex single-precision floating-point vector.</span>
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- <spanclass="signature">[`scasum( N, x, strideX )`][@stdlib/blas/base/scasum]</span><spanclass="delimiter">: </span><spanclass="description">compute the sum of the absolute values of the real and imaginary components of a single-precision complex floating-point vector.</span>
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- <spanclass="signature">[`scnrm2( N, x, strideX )`][@stdlib/blas/base/scnrm2]</span><spanclass="delimiter">: </span><spanclass="description">compute the L2-norm of a complex single-precision floating-point vector.</span>
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- <spanclass="signature">[`scopy( N, x, strideX, y, strideY )`][@stdlib/blas/base/scopy]</span><spanclass="delimiter">: </span><spanclass="description">copy values from `x` into `y`.</span>
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- <spanclass="signature">[`sdot( N, x, strideX, y, strideY )`][@stdlib/blas/base/sdot]</span><spanclass="delimiter">: </span><spanclass="description">calculate the dot product of two single-precision floating-point vectors.</span>
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- <spanclass="signature">[`sdsdot( N, scalar, x, strideX, y, strideY )`][@stdlib/blas/base/sdsdot]</span><spanclass="delimiter">: </span><spanclass="description">calculate the dot product of two single-precision floating-point vectors with extended accumulation.</span>
Copy file name to clipboardExpand all lines: lib/node_modules/@stdlib/number/uint16/base/README.md
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@@ -43,7 +43,10 @@ var o = ns;
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<divclass="namespace-toc">
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- <spanclass="signature">[`add( x, y )`][@stdlib/number/uint16/base/add]</span><spanclass="delimiter">: </span><spanclass="description">compute the sum of two unsigned 16-bit integers.</span>
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- <spanclass="signature">[`fromBinaryStringUint16( bstr )`][@stdlib/number/uint16/base/from-binary-string]</span><spanclass="delimiter">: </span><spanclass="description">create an unsigned 16-bit integer from a literal bit representation.</span>
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- <spanclass="signature">[`mul( x, y )`][@stdlib/number/uint16/base/mul]</span><spanclass="delimiter">: </span><spanclass="description">multiply two unsigned 16-bit integers.</span>
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- <spanclass="signature">[`sub( x, y )`][@stdlib/number/uint16/base/sub]</span><spanclass="delimiter">: </span><spanclass="description">subtract two unsigned 16-bit integers.</span>
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- <spanclass="signature">[`toBinaryStringUint16( x )`][@stdlib/number/uint16/base/to-binary-string]</span><spanclass="delimiter">: </span><spanclass="description">return a string giving the literal bit representation of an unsigned 16-bit integer.</span>
Copy file name to clipboardExpand all lines: lib/node_modules/@stdlib/number/uint8/base/README.md
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<divclass="namespace-toc">
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- <spanclass="signature">[`add( x, y )`][@stdlib/number/uint8/base/add]</span><spanclass="delimiter">: </span><spanclass="description">compute the sum of two unsigned 8-bit integers.</span>
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- <spanclass="signature">[`fromBinaryStringUint8( bstr )`][@stdlib/number/uint8/base/from-binary-string]</span><spanclass="delimiter">: </span><spanclass="description">create an unsigned 8-bit integer from a literal bit representation.</span>
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- <spanclass="signature">[`mul( x, y )`][@stdlib/number/uint8/base/mul]</span><spanclass="delimiter">: </span><spanclass="description">multiply two unsigned 8-bit integers.</span>
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- <spanclass="signature">[`sub( x, y )`][@stdlib/number/uint8/base/sub]</span><spanclass="delimiter">: </span><spanclass="description">subtract two unsigned 8-bit integers.</span>
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- <spanclass="signature">[`toBinaryStringUint8( x )`][@stdlib/number/uint8/base/to-binary-string]</span><spanclass="delimiter">: </span><spanclass="description">return a string giving the literal bit representation of an unsigned 8-bit integer.</span>
Copy file name to clipboardExpand all lines: lib/node_modules/@stdlib/stats/array/README.md
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@@ -71,8 +71,11 @@ The namespace exports the following:
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- <spanclass="signature">[`nanmaxBy( x, clbk[, thisArg] )`][@stdlib/stats/array/nanmax-by]</span><spanclass="delimiter">: </span><spanclass="description">calculate the maximum value of an array via a callback function, ignoring `NaN` values.</span>
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- <spanclass="signature">[`nanmax( x )`][@stdlib/stats/array/nanmax]</span><spanclass="delimiter">: </span><spanclass="description">calculate the maximum value of an array, ignoring `NaN` values.</span>
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- <spanclass="signature">[`nanmaxabs( x )`][@stdlib/stats/array/nanmaxabs]</span><spanclass="delimiter">: </span><spanclass="description">calculate the maximum absolute value of an array, ignoring `NaN` values.</span>
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- <spanclass="signature">[`nanminBy( x, clbk[, thisArg] )`][@stdlib/stats/array/nanmin-by]</span><spanclass="delimiter">: </span><spanclass="description">calculate the minimum value of an array via a callback function, ignoring `NaN` values.</span>
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- <spanclass="signature">[`nanmin( x )`][@stdlib/stats/array/nanmin]</span><spanclass="delimiter">: </span><spanclass="description">calculate the minimum value of an array, ignoring `NaN` values.</span>
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- <spanclass="signature">[`nanminabs( x )`][@stdlib/stats/array/nanminabs]</span><spanclass="delimiter">: </span><spanclass="description">calculate the minimum absolute value of an array, ignoring `NaN` values.</span>
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- <spanclass="signature">[`nanrange( x )`][@stdlib/stats/array/nanrange]</span><spanclass="delimiter">: </span><spanclass="description">calculate the range of an array, ignoring `NaN` values.</span>
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- <spanclass="signature">[`range( x )`][@stdlib/stats/array/range]</span><spanclass="delimiter">: </span><spanclass="description">calculate the range of an array.</span>
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- <spanclass="signature">[`varianceyc( x[, correction] )`][@stdlib/stats/array/varianceyc]</span><spanclass="delimiter">: </span><spanclass="description">calculate the variance of an array using a one-pass algorithm proposed by Youngs and Cramer.</span>
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