Let ${\mathrm{Z}}_{{\mathrm{M}}_{1}\times \mathrm{N}}={\mathrm{T}}^{\frac{1}{2}}\mathrm{X}$ where (T½)2 = T is a positive definite matrix and X consists of ...

The eigenvalue spectrum of a class of nonsymmetric preconditioned matrices arising in time-dependent partial differential equations is analyzed and discussed. The matrices generated by the underlying ...

Introduces linear algebra and matrices, with an emphasis on applications, including methods to solve systems of linear algebraic and linear ordinary differential equations. Discusses computational ...

This course is a continuation of MATH.1380. Review of integration and methods. Solving systems of linear equations. Use and application of matrices including inverses, determinants, eigenvalues and ...

Maximum distance separable (MDS) matrices play a critical role in the design of secure cryptographic systems by ensuring optimal diffusion in block ciphers and related schemes. Owing to their ...

Glucagon-like peptide-1 (GLP-1) analogs regulate systemic homeostasis, making them effective in the treatment of type 2 diabetes. However, their low bioavailability limits their detection and ...

This course is compulsory on the MSc in Statistics (Social Statistics) and MSc in Statistics (Social Statistics) (Research). This course is available on the MPhil/PhD in Statistics, MSc in Data ...

During the course of operation, businesses accumulate all kinds of data such as numbers related to sales performance and profit, and information about clients. Companies often seek out employees with ...

Introduces linear algebra and matrices with an emphasis on applications, including methods to solve systems of linear algebraic and linear ordinary differential equations. Discusses vector space ...