نتایج جستجو برای: effective matrix
تعداد نتایج: 1028272 فیلتر نتایج به سال:
Sliced Inverse Regression (SIR) is an effective method for dimension reduction in high-dimensional regression problems. The original method, however, requires the inversion of the predictors covariance matrix. In case of collinearity between these predictors or small sample sizes compared to the dimension, the inversion is not possible and a regularization technique has to be used. Our approach...
an efficient and cost effective protocol for in vitro propagation of pineapple (ananas comosus var. queen) has been developed. in the proliferation stage, agar based murashige and skoog (ms) media was supplemented with 3.0 mg/l benzyleaminopurine (bap), 0.5 mg/l indole acetic acid (iaa) and 50 mg/l adenine sulphate as rbc design experiment. two approaches were taken to reduce the chemical cost ...
sustained release oral delivery systems are designed to achieve therapeutically effective concentrations of drug in the systemic circulation over an extended period of time. the purpose of the present investigation was to design and evaluate sustained release matrix tablets of nifedipine, a poorly water soluble drug, employing hydroxypropyl methyl cellulose ( hpmc) and ethyl cellulose ( ec) as ...
introduction: cleaner productions in textile industry is achieved by reducing water and chemicals’ consumption, saving energy, reducing production of air pollution and solid wastes, reducing toxicity and noise pollution through many solutions. the purpose of the present research was to apply strengths, weaknesses, opportunities, threats (swot) and quality systems planning matrix (qspm) techniqu...
a matrix $pintextmd{c}^{ntimes n}$ is called a generalized reflection matrix if $p^{h}=p$ and $p^{2}=i$. an $ntimes n$ complex matrix $a$ is said to be a reflexive (anti-reflexive) matrix with respect to the generalized reflection matrix $p$ if $a=pap$ ($a=-pap$). in this paper, we introduce two iterative methods for solving the pair of matrix equations $axb=c$ and $dxe=f$ over reflexiv...
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