Abstract: Recently, in-memory analog matrix computing (AMC) with nonvolatile resistive memory has been developed for solving matrix problems in one step, e.g., matrix inversion of solving linear ...

These simple operations and others are why NumPy is a building block for statistical analysis with Python. NumPy also makes ...

Annealing processors (APs) are gaining popularity for solving complex optimization problems. Fully-coupled Ising model APs are especially valued for their flexibility, but balancing capacity (number ...

One thing that becomes clear to me again and again is that we are writing code dealing with matrices that need to perform row operations, such as Of course I can easily implement any of those ...

Matrix representations and operations are examined for the purpose of minimizing the page faulting occurring in a paged memory system. It is shown that carefully designed matrix algorithms can lead to ...

Gravel grid systems comprise a network of interlocking plastic modules that hold the surface layer of gravel on top of a base layer. Their main purpose is to help keep gravel in place. If you're ...

Managing small business operations can feel overwhelming, especially when you try to balance cash flow, track expenses, and handle day-to-day tasks with limited resources. These challenges can lead to ...

Presenting an algorithm that solves linear systems with sparse coefficient matrices asymptotically faster than matrix multiplication for any ω > 2. Our algorithm can be viewed as an efficient, ...

1 Observatório Nacional, Department of Geophysics, Rio de Janeiro, Brazil 2 Department of Applied Geology, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil Equivalent-layer technique ...

The application of Aerial Spacer Cable Systems (ASCS) in heavily treed areas is very common amongst electric utilities. There are a number of other applications including multiple-circuits, long-spans ...