Multiplies ( A^{-1} ) with ( B ) to obtain the solution vector ( X ). Provides error handling for cases where the matrix ( A ) is not invertible or input is invalid.

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, ...

Abstract: In this paper, a new iterative algorithm for linear matrix-vector equation (LMVE) solving on the basis of Zhang approximation inverse (ZAI) is proposed. The optimal Zhang approximation ...

Abstract: This paper focuses on the inverse optimal control problem for discrete-time systems with unknown cost functions using linear matrix inequalities (LMIs). Based on Pontryagin's minimum ...

SIAM Journal on Applied Mathematics, Vol. 19, No. 3 (Nov., 1970), pp. 547-550 (4 pages) ...

Solving a system of linear equations $Ax=b$, where the co-efficient matrix $A$, is very large and sparse is at the heart of many scientific computing applications ...

Save guides, add subjects and pick up where you left off with your BBC account. Solve the equation \(\frac{3s + 9}{4} = 7\). This means \(3s + 9\) has all been divided by 4. To solve the equation, ...