# dasum > Compute the sum of [absolute values][@stdlib/math/base/special/abs] ([_L1_ norm][l1norm]).
The [_L1_ norm][l1norm] is defined as
L1 norm definition.
## Usage ```javascript var dasum = require( '@stdlib/blas/base/dasum' ); ``` #### dasum( N, x, stride ) Computes the sum of [absolute values][@stdlib/math/base/special/abs]. ```javascript var Float64Array = require( '@stdlib/array/float64' ); var x = new Float64Array( [ -2.0, 1.0, 3.0, -5.0, 4.0, 0.0, -1.0, -3.0 ] ); var sum = dasum( x.length, x, 1 ); // returns 19.0 ``` The function has the following parameters: - **N**: number of elements to sum. - **x**: input [`Float64Array`][mdn-float64array]. - **stride**: index increment. The `N` and `stride` parameters determine which elements in `x` are used to compute the sum. For example, to sum every other value, ```javascript var Float64Array = require( '@stdlib/array/float64' ); var floor = require( '@stdlib/math/base/special/floor' ); var x = new Float64Array( [ -2.0, 1.0, 3.0, -5.0, 4.0, 0.0, -1.0, -3.0 ] ); var N = floor( x.length / 2 ); var stride = 2; var sum = dasum( N, x, stride ); // returns 10.0 ``` Note that indexing is relative to the first index. To introduce an offset, use [`typed array`][mdn-typed-array] views. ```javascript var Float64Array = require( '@stdlib/array/float64' ); // Initial array... var x0 = new Float64Array( [ 1.0, -2.0, 3.0, -4.0, 5.0, -6.0 ] ); // Create an offset view... var x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element var N = 3; // Sum every other value... var sum = dasum( N, x1, 2 ); // returns 12.0 ``` If either `N` or `stride` is less than or equal to `0`, the function returns `0`. #### dasum.ndarray( N, x, stride, offset ) Computes the sum of [absolute values][@stdlib/math/base/special/abs] using alternative indexing semantics. ```javascript var Float64Array = require( '@stdlib/array/float64' ); var x = new Float64Array( [ -2.0, 1.0, 3.0, -5.0, 4.0, 0.0, -1.0, -3.0 ] ); var sum = dasum.ndarray( x.length, x, 1, 0 ); // returns 19.0 ``` The function has the following additional parameters: - **offset**: starting index. While [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying `buffer`, the `offset` parameter supports indexing semantics based on a starting index. For example, to sum the last three elements, ```javascript var Float64Array = require( '@stdlib/array/float64' ); var x = new Float64Array( [ 1.0, -2.0, 3.0, -4.0, 5.0, -6.0 ] ); var sum = dasum.ndarray( 3, x, 1, x.length-3 ); // returns 15.0 // Using a negative stride to sum from the last element: sum = dasum.ndarray( 3, x, -1, x.length-1 ); // returns 15.0 ```
## Notes - If `N <= 0`, the sum is `0`. - `dasum()` corresponds to the [BLAS][blas] level 1 function [`dasum`][dasum].
## Examples ```javascript var round = require( '@stdlib/math/base/special/round' ); var randu = require( '@stdlib/random/base/randu' ); var Float64Array = require( '@stdlib/array/float64' ); var dasum = require( '@stdlib/blas/base/dasum' ); var rand; var sign; var x; var i; x = new Float64Array( 100 ); for ( i = 0; i < x.length; i++ ) { rand = round( randu()*100.0 ); sign = randu(); if ( sign < 0.5 ) { sign = -1.0; } else { sign = 1.0; } x[ i ] = sign * rand; } console.log( dasum( x.length, x, 1 ) ); ```