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base.strided.gnansumpw.ndarray,"\nbase.strided.gnansumpw.ndarray( N:integer, x:Array|TypedArray, strideX:integer, \n offsetX:integer )\n Computes the sum of strided array elements, ignoring `NaN` values and using\n pairwise summation and alternative indexing semantics.\n"
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base.strided.gnrm2,"\nbase.strided.gnrm2( N:integer, x:Array|TypedArray, stride:integer )\n Computes the L2-norm of a vector.\n"
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base.strided.gnrm2.ndarray,"\nbase.strided.gnrm2.ndarray( N:integer, x:Array|TypedArray, stride:integer, \n offset:integer )\n Computes the L2-norm of a vector using alternative indexing semantics.\n"
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base.strided.grev,"\nbase.strided.grev( N:integer, x:ArrayLikeObject, stride:integer )\n Reverses a strided array in-place.\n"
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base.strided.grev.ndarray,"\nbase.strided.grev.ndarray( N:integer, x:ArrayLikeObject, stride:integer, \n offset:integer )\n Reverses a strided array in-place using alternative indexing semantics.\n"
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base.strided.grev,"\nbase.strided.grev( N:integer, x:ArrayLikeObject, strideX:integer )\n Reverses a strided array in-place.\n"
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base.strided.grev.ndarray,"\nbase.strided.grev.ndarray( N:integer, x:ArrayLikeObject, strideX:integer, \n offsetX:integer )\n Reverses a strided array in-place using alternative indexing semantics.\n"
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base.strided.gscal,"\nbase.strided.gscal( N:integer, alpha:number, x:Array|TypedArray, \n stride:integer )\n Multiplies a vector `x` by a constant `alpha`.\n"
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base.strided.gscal.ndarray,"\nbase.strided.gscal.ndarray( N:integer, alpha:number, x:Array|TypedArray, \n stride:integer, offset:integer )\n Multiplies `x` by a constant `alpha` using alternative indexing semantics.\n"
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base.strided.gsort2hp,"\nbase.strided.gsort2hp( N:integer, order:number, x:Array|TypedArray, \n strideX:integer, y:Array|TypedArray, strideY:integer )\n Simultaneously sorts two strided arrays based on the sort order of the first\n array using heapsort.\n"
base.strided.ssqrt.ndarray,"\nbase.strided.ssqrt.ndarray( N:integer, x:Float32Array, strideX:integer, \n offsetX:integer, y:Float32Array, strideY:integer, offsetY:integer )\n Computes the principal square root for each element in a single-precision\n floating-point strided array `x` and assigns the results to elements in a\n single-precision floating-point strided array `y` using alternative indexing\n semantics.\n"
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base.strided.sstdev,"\nbase.strided.sstdev( N:integer, correction:number, x:Float32Array, \n stride:integer )\n Computes the standard deviation of a single-precision floating-point strided\n array.\n"
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base.strided.sstdev.ndarray,"\nbase.strided.sstdev.ndarray( N:integer, correction:number, x:Float32Array, \n stride:integer, offset:integer )\n Computes the standard deviation of a single-precision floating-point strided\n array using alternative indexing semantics.\n"
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base.strided.sstdevch,"\nbase.strided.sstdevch( N:integer, correction:number, x:Float32Array, \n stride:integer )\n Computes the standard deviation of a single-precision floating-point strided\n array using a one-pass trial mean algorithm.\n"
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base.strided.sstdevch.ndarray,"\nbase.strided.sstdevch.ndarray( N:integer, correction:number, x:Float32Array, \n stride:integer, offset:integer )\n Computes the standard deviation of a single-precision floating-point strided\n array using a one-pass trial mean algorithm and alternative indexing\n semantics.\n"
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base.strided.sstdevch,"\nbase.strided.sstdevch( N:integer, correction:number, x:Float32Array, \n strideX:integer )\n Computes the standard deviation of a single-precision floating-point strided\n array using a one-pass trial mean algorithm.\n"
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base.strided.sstdevch.ndarray,"\nbase.strided.sstdevch.ndarray( N:integer, correction:number, x:Float32Array, \n strideX:integer, offsetX:integer )\n Computes the standard deviation of a single-precision floating-point strided\n array using a one-pass trial mean algorithm and alternative indexing\n semantics.\n"
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base.strided.sstdevpn,"\nbase.strided.sstdevpn( N:integer, correction:number, x:Float32Array, \n stride:integer )\n Computes the standard deviation of a single-precision floating-point strided\n array using a two-pass algorithm.\n"
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base.strided.sstdevpn.ndarray,"\nbase.strided.sstdevpn.ndarray( N:integer, correction:number, x:Float32Array, \n stride:integer, offset:integer )\n Computes the standard deviation of a single-precision floating-point strided\n array using a two-pass algorithm and alternative indexing semantics.\n"
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base.strided.sstdevtk,"\nbase.strided.sstdevtk( N:integer, correction:number, x:Float32Array, \n stride:integer )\n Computes the standard deviation of a single-precision floating-point strided\n array using a one-pass textbook algorithm.\n"
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base.strided.sstdevtk.ndarray,"\nbase.strided.sstdevtk.ndarray( N:integer, correction:number, x:Float32Array, \n stride:integer, offset:integer )\n Computes the standard deviation of a single-precision floating-point strided\n array using a one-pass textbook algorithm and alternative indexing\n semantics.\n"
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base.strided.sstdevtk,"\nbase.strided.sstdevtk( N:integer, correction:number, x:Float32Array, \n strideX:integer )\n Computes the standard deviation of a single-precision floating-point strided\n array using a one-pass textbook algorithm.\n"
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base.strided.sstdevtk.ndarray,"\nbase.strided.sstdevtk.ndarray( N:integer, correction:number, x:Float32Array, \n strideX:integer, offsetX:integer )\n Computes the standard deviation of a single-precision floating-point strided\n array using a one-pass textbook algorithm and alternative indexing\n semantics.\n"
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base.strided.sstdevwd,"\nbase.strided.sstdevwd( N:integer, correction:number, x:Float32Array, \n stride:integer )\n Computes the standard deviation of a single-precision floating-point strided\n array using Welford's algorithm.\n"
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base.strided.sstdevwd.ndarray,"\nbase.strided.sstdevwd.ndarray( N:integer, correction:number, x:Float32Array, \n stride:integer, offset:integer )\n Computes the standard deviation of a single-precision floating-point strided\n array using Welford's algorithm and alternative indexing semantics.\n"
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base.strided.sstdevyc,"\nbase.strided.sstdevyc( N:integer, correction:number, x:Float32Array, \n stride:integer )\n Computes the standard deviation of a single-precision floating-point strided\n array using a one-pass algorithm proposed by Youngs and Cramer.\n"
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