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 ...
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 ...
Random Matrix Theory (RMT) has emerged as an indispensable framework for understanding the statistical properties of matrices whose entries are determined by probabilistic processes. Initially ...
Objective: Biochemical and haematological parameters of nutritional interest were determined in the serum of opiate addicts in order to compare them with those obtained in healthy subjects. Linear ...
Generally speaking, there are two types of outcomes (i.e. response) in statistical analysis: continuous and categorical responses. Linear Models (LM) are one of the most commonly used statistical ...
Nanomaterials are surging in interest for a variety of applications: medicine, agriculture and more. However, the environmental effects of nanoscale materials such as nanoplastics are of increasing ...
Chili powder's complex matrix poses challenges for pesticide residue analysis, requiring optimized LC–MS/MS methods for ...
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