We develop an algorithm for solving a system of diophantine equations with lower and upper bounds on the variables. The algorithm is based on lattice basis reduction. It first finds a short vector ...

The general procedure learned to solve a system of linear equations is Gaussian elimination. The goal is to apply row operations to "eliminate" all the variables except for one in each equation (if ...

Linear systems involve two or more equations with variables that specify the different ways things relate to each other. They’re “linear” because the only allowable power is exactly 1 and graphs of ...

The computational complexity of solving an n × n system of linear equations depends on whether the computational model is (a) sequential or parallel, and (b) fixed precision or variable precision. We ...

The paper provides a method with relatively high computational efficiency and accuracy to solve the linear equation systems (LES). That is, the paper presents a simplified 94LVI algorithm solution to ...

Excel can solve equations through several of its mathematical functions, but the single Excel tool that works on the largest variety of equations is the program's Solver Add-in.

This paper presents a novel hardware approach for solving systems of linear equations by leveraging in-memory computing (IMC) with memristive crossbar arrays. Unlike conventional architectures that ...