{{alias}}( N, x, strideX ) Computes the sum of double-precision floating-point strided array elements, ignoring `NaN` values and using a second-order iterative Kahan–Babuška algorithm. The `N` and stride parameters determine which elements in the strided array are accessed at runtime. Indexing is relative to the first index. To introduce an offset, use a typed array view. If `N <= 0`, the function returns `0.0`. Parameters ---------- N: integer Number of indexed elements. x: Float64Array Input array. strideX: integer Stride length. Returns ------- out: number Sum. Examples -------- // Standard Usage: > var x = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, NaN, 2.0 ] ); > {{alias}}( x.length, x, 1 ) 1.0 // Using `N` and stride parameters: > x = new {{alias:@stdlib/array/float64}}( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0, NaN, NaN ] ); > {{alias}}( 4, x, 2 ) 1.0 // Using view offsets: > var x0 = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, NaN, NaN ] ); > var x1 = new {{alias:@stdlib/array/float64}}( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); > {{alias}}( 4, x1, 2 ) -1.0 {{alias}}.ndarray( N, x, strideX, offsetX ) Computes the sum of double-precision floating-point strided array elements, ignoring `NaN` values and using a second-order iterative Kahan–Babuška algorithm and alternative indexing semantics. While typed array views mandate a view offset based on the underlying buffer, the offset parameter supports indexing semantics based on a starting index. Parameters ---------- N: integer Number of indexed elements. x: Float64Array Input array. strideX: integer Stride length. offsetX: integer Starting index. Returns ------- out: number Sum. Examples -------- // Standard Usage: > var x = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, NaN, 2.0 ] ); > {{alias}}.ndarray( x.length, x, 1, 0 ) 1.0 // Using offset parameter: > var x = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, NaN, NaN ] ); > {{alias}}.ndarray( 4, x, 2, 1 ) -1.0 See Also --------