Abstract: Theoretical analysis of randomized, compressive operators often depends on a concentration of measure inequality for the operator in question. Typically, such inequalities quantify the ...

Thanks for the amazing work with JAX! I'm currently doing some work which would really benefit from support for handling block diagonal matrices. In particular, I would like to assemble matrices using ...

Abstract: The theoretical analysis of randomized compressive operators often relies on the existence of a concentration of measure inequality for the operator of interest. Though commonly studied for ...

Department of Cyber-Physical Systems, Clark Atlanta University, Atlanta, USA. 4) Numerical examples and experiments for all three cases will be given in Section 3 to demonstrate the validity and the ...

There is scipy.sparse.bmat () that can construct a sparse matrix given the individual blocks, but it is not very convenient to use for block-diagonal matrices, cf. [1].

Department of Cyber-Physical Systems, Clark Atlanta University, Atlanta, GA, USA. where P is some reflection (symmetric signed permutation) matrix. Like U, the generalized reflexive matrices A arise ...

where matrix is a numeric matrix or literal. The BLOCK function creates a new block-diagonal matrix from all the matrices specified in the argument matrices. Up to 15 matrices can be specified. The ...

In electromagnetic transient (EMT) simulations for power systems and inverter-based resources (IBRs), the arrangement of states within the system's linear equations, represented by matrix A in Ax=b, ...