Perform the symmetric rank 1 operation `A = α*x*x^T + A`.
JavaScript
1
0
Apache License 2.0
This package provides a JavaScript implementation of the BLAS symmetric rank 1 operation `A = α*x*x^T + A`, where `α` is a scalar, `x` is a vector, and `A` is a symmetric matrix. It is part of stdlib, a comprehensive numerical and scientific computing library for JavaScript and Node.js, designed for developers working on high-performance mathematical computations.
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Support the dependencies of stdlib-js/blas-base-dsyr
Test if a value is an Error object.
Test if an input value is a BLAS memory layout.
Test if an input value is a BLAS matrix triangle.
Common symbols and type definitions shared across base BLAS APIs.
Error handler for BLAS/LAPACK routines.
Return the maximum value.
C utilities for retrieving Node-API add-on callback arguments.
Convert a Node-API value to a double-precision floating-point number.
Convert a Node-API value to a signed 32-bit integer.
Convert a Node-API value to a signed 64-bit integer.
Convert a Node-API value representing a strided array to a double-precision floating-point array.
Convert a Node-API value representing a two-dimensional strided array to a double-precision floating-point array.
C utilities for registering Node-API modules.
Test whether an input value is the string representing column-major order.
Given a stride array, determine whether an array is row-major.
Determine the index offset which specifies the location of the first indexed value in a strided array.
Insert supplied variable values into a format string.
stdlib TypeScript type declarations.
Define a non-enumerable read-only property.
Load a manifest for compiling source files.
Wrap `require` in a try/catch block.
Format an error message for production.
Float64Array.
Create an array filled with ones and having a specified length.
Check if the runtime is a web browser.
Return the enumeration constant associated with a supported BLAS memory layout value.
Return the enumeration constant associated with a supported BLAS matrix triangle value.
Fill a double-precision floating-point strided array with a specified scalar constant.
Test if a double-precision floating-point numeric value is NaN.
Round a double-precision floating-point number toward negative infinity.
Exponential function.
Create an array containing pseudorandom numbers drawn from a discrete uniform distribution.
Proxies nodejs require in order to allow overriding dependencies during testing.
tap-producing test harness for node and browsers
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Minimal TAP output formatter.
Benchmark harness.
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