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The SAFT equation of state was developed using statistical mechanical methods (in particular the perturbation theory of Wertheim [12]) to describe the interactions between molecules in a system. [1] [13] [14] The idea of a SAFT equation of state was first proposed by Walter G. Chapman and by Chapman et al. in 1988 and 1989.
PC-SAFT (perturbed chain SAFT) is an equation of state that is based on statistical associating fluid theory (SAFT). Like other SAFT equations of state, it makes use of chain and association terms developed by Chapman, et al from perturbation theory. [1]
Sectoral balances using CBO data. Their method defines the balances as: A) Federal budget balance; B) Current Account (multiplied by -1 in the diagram); and C) Nonfederal Domestic Balance, representing mainly private sector net savings and the state and local government sector balance. The equation A+B+C=0 must hold by definition. [6]
Monte Carlo methods are a class of computational algorithms that rely on repeated random sampling to compute their results. In statistical mechanics applications prior to the introduction of the Metropolis algorithm, the method consisted of generating a large number of random configurations of the system, computing the properties of interest (such as energy or density) for each configuration ...
The marginal cost of public funds (MCF) is a concept in public finance which measures the loss incurred by society in raising less revenues to finance government spending due to the distortion of resource allocation caused by taxation. [1]
By Jill Krasny and Zachry Floro Math class may have seemed pointless back in the day, but it turns out all those confusing equations are quite useful. Math can be used to solve every money problem ...
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Statistical finance [1] is the application of econophysics [2] to financial markets. Instead of the normative roots of finance , it uses a positivist framework. It includes exemplars from statistical physics with an emphasis on emergent or collective properties of financial markets.