iterative-solver

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The Conjugate Gradient (CG) method is an efficient iterative algorithm for solving large, sparse systems of linear equations where the matrix is symmetric and positive-definite. It finds the minimum of a quadratic function by generating conjugate search directions, ensuring convergence in at most steps for an matrix.Solver

python optimization solver scientific-computing iterative-methods conjugate-gradient sparse-linear-solver numerical-linear-algebra matrix-algorithms preconditioned-conjugate-gradient large-scale-optimization optimization-solver senatorov preconditioned-cg python-cg-implementation iterative-solver sparse-cg-solver solver-sparse-cg

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DamianvanTonder / Useful_Psychometrics_Calculator_for_Moist_Air

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This code is a psychrometrics library that calculates the full thermodynamic state of moist air from any two independent properties and pressure. Using ASHRAE equations and iterative methods, it computes dry-bulb temperature, enthalpy, relative humidity, specific volume, humidity ratio, and wet-bulb temperature in SI units.

psychrometrics relative-humidity moist-air enthalpy iterative-solver humidity-ratio wet-bulb-temperature ashrae-equations

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