Equana

Compute the norm of a sparse matrix.

Estimate the condition number of a matrix using its LU factorization.

Improve the accuracy of a computed solution using iterative refinement.

Compute the elimination tree for a sparse matrix.

Compute statistics about the elimination tree.

Estimate floating point operations for LU factorization.

Predict fill-in for LU factorization.

Clear the solve history.

Enable or disable detailed logging.

Get statistics from the last solve operation.

Get the current logging level.

Get the solve history.

Get a human-readable error message for a SuperLU error code.

# SuperLUWasm

Allocate a Float32Array in WASM memory and optionally initialize with values.

Allocate an Int32Array in WASM memory and optionally initialize with values.

Allocate values based on data type.

Check SuperLU return code and throw if error.

Free multiple pointers at once.

Get element size in bytes for a data type.

Get error message for a SuperLU info code.

Check if a data type is complex.

Read a single byte/char from WASM memory.

Read a single double from WASM memory.

Read doubles from WASM memory.

Read floats from WASM memory.

Read a single integer from WASM memory.

Read integers from WASM memory.

Read values based on data type.

Convert a JavaScript array to Float32Array.

Convert a JavaScript array to Float64Array.

Convert a JavaScript array to Int32Array.

RAII-style resource management.

Write a single byte to WASM memory.

Write a single double to WASM memory.

Write doubles to WASM memory.

Write floats to WASM memory.

Write a single integer to WASM memory.

Write integers to WASM memory.

Configure SuperLU WASM module loading options.

Get the current SuperLU loading configuration.

Get the loaded SuperLU WASM module synchronously.

Check if the SuperLU WASM module has been fully loaded.

Check if the SuperLU WASM module is currently loading.

Load and initialize the SuperLU WASM module.

Reset the SuperLU module state completely.

Allocate a workspace buffer in WASM memory.

Deallocate a previously allocated workspace.

Estimate memory required for LU factorization.

Free memory used by an LU factorization.

Get memory usage of LU factors.

Get the current global workspace size limit.

Query statistics about a completed factorization.

Set the global workspace size limit.

Apply equilibration scaling to a sparse matrix.

Compute equilibration scaling factors for a sparse matrix.

Scale the right-hand side vector for equilibration.

Undo equilibration scaling on the solution vector.

Compute an Incomplete LU (ILU) factorization.

Compute the LU factorization of a sparse matrix.

Convert COO format to CSC format.

Convert COO format to CSR format.

Create a dense matrix.

Create a sparse matrix in Coordinate (COO) format.

Create a sparse matrix in Compressed Sparse Column (CSC) format.

Create a sparse matrix in Compressed Sparse Row (CSR) format.

Create a sparse diagonal matrix in CSC format.

Create a sparse identity matrix in CSC format.

Convert a CSC matrix to CSR format.

Convert a CSR matrix to CSC format.

Convert a dense matrix to sparse format.

Convert a dense matrix to sparse CSC format.

Convert a dense matrix to sparse CSR format.

Compute the transpose of a CSC matrix.

Compute the transpose of a CSR matrix.

Convert a sparse matrix to a dense array.

Convert any sparse matrix format to COO (coordinate) format.

Convert any sparse matrix format to CSC format.

Convert any sparse matrix format to CSR format.

Create a deep copy of a sparse matrix.

Get the diagonal elements of a sparse matrix.

Get information about the nonzero elements of a matrix.

Compute statistics about a sparse matrix.

Extract the sparsity pattern (nonzero locations) of a matrix.

Analyze supernode structure of a matrix.

Scale the columns of a sparse matrix in-place.

Scale the rows of a sparse matrix in-place.

Verify that a factorization satisfies PAQ ≈ LU.

Detect various properties of a sparse matrix.

Check if a sparse matrix is Hermitian (A = A^H) within tolerance.

Check if a sparse matrix appears to be positive definite.

Check if a sparse matrix is symmetric (A = A^T) within tolerance.

Validate a sparse matrix for format consistency.

Compute a column permutation for fill-in reduction.

Compute a row permutation for numerical stability.

Compute the inverse of a permutation.

Apply row and column permutations to a sparse matrix.

Apply a permutation to a vector.

Apply inverse permutation to a vector.

Solve a sparse linear system AX = B with multiple right-hand sides.

Solve a sparse linear system using a pre-computed LU factorization.

Solve a sparse linear system using deflation.

Solve A^H x = b (conjugate transpose) where A is complex.

Solve a sparse linear system Ax = b where A is in CSC format.

Solve a sparse linear system Ax = b where A is in CSR format.

Solve A^T x = b (transpose system) where A is in CSC format.

Expert sparse solver with full control over all SuperLU options.

Solve a sparse least squares problem min ||Ax - b||_2.

Solve a sparse linear system with iterative refinement.

Solve a shifted linear system (A - σI)x = b.

Solve a Hermitian sparse linear system Ax = b.

Solve a symmetric sparse linear system Ax = b.

Solve a triangular system Tx = b where T is a sparse triangular CSC matrix.

Solve a triangular system Tx = b where T is a sparse triangular CSR matrix.

Solve Ax = b using precomputed LU factors.

Solve A^H x = b using precomputed LU factors (complex matrices).

Solve A^T x = b using precomputed LU factors.

Create a standard test matrix.

Get a list of available test matrix types with descriptions.

Get the number of nonzeros in a sparse matrix.

Infer the data type from an array.

Check if a sparse matrix is in CSC format.

Check if a sparse matrix is in CSR format.