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Liquid Air Energy Storage offers several advantages over other energy storage systems, including high energy density, scalability, cost-competitiveness, and non-geographical constraints. This study develops a computation...

A Self-Cooling Simulated Annealing (SCSA) algorithm is introduced for the optimization of nonlinear least-squares problems. In contrast to conventional simulated annealing techniques that require a predefined cooling sch...

Conjugate gradient method (CGM) is one of the most efficient numerical methods for solving unconstrained optimization problems. It is also known as an iterative method with simple formulation. The classical CGM has alway...

Optimization methods are valuable for making decisions and identifying the most suitable alternative based on a given objective function. One of the mathematical optimization methods is Conjugate Gradient (CG) method whi...

We employ the concept of quantum Fisher information to optimize the focused excitation fields in coherent scattering microscopy. Our optimization goal is to achieve the best possible localization precision for small scat...

Subjects / keywords: Mathematical optimization; Numerical analysis; Linear programming

Subjects / keywords: Linear programming; Network analysis (Planning); Mathematical optimization; Dynamic programming; Electronic books

This study developed, optimized, and evaluated floating tablets containing Losartan potassium intended to provide prolonged gastric retention for hypertensive patients. HPMC K15M was found to effectively extend drug rele...

ObjectivesA high-performance liquid chromatography method was developed to determine the purity of theaflavins， a food additive.MethodsThe samples were dissolved in ethanol-water （2∶8，V/V） solution and separate...

ObjectiveTo develop a high-performance liquid chromatography-based method for the determination of L-threonate in magnesium L-threonate products.MethodsThe samples were dissolved in water and separated by C18 reversed-ph...