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A Practical Guide to Steam Turbine Technology (with Dr. M. Singh), 2nd Ed., McGraw-Hill, 2009 Guia Practica Para la Tecnologia de las Turbinas de Vapor , McGraw-Hill Publishing Co., 1998 Oil Mist Lubrication: Practical Applications , (with Dr. A. Shamim), Fairmont Publishing, 1998
The free format MPS allows for long names and more accurate data by allowing fields to exceed the columns defined by the original standard, and apply whitespaces as separators instead of fixed column positions (note that this makes some MPS files that included whitespaces as part of names to be no longer valid).
McGraw-Hill purchased Schaum Publishing Company in 1967. [2] Titles are continually revised to reflect current educational standards in their fields, including updates with new information, additional examples, use of new technology (calculators and computers), and so forth. New titles are also introduced in emerging fields such as computer ...
It can be viewed as an extension of Bubnov-Galerkin method where the bases of test functions and solution functions are the same. In an operator formulation of the differential equation, Petrov–Galerkin method can be viewed as applying a projection that is not necessarily orthogonal, in contrast to Bubnov-Galerkin method .
Engineering Equation Solver (EES) is a commercial software package used for solution of systems of simultaneous non-linear equations.It provides many useful specialized functions and equations for the solution of thermodynamics and heat transfer problems, making it a useful and widely used program for mechanical engineers working in these fields.
Its main advantage versus a purely multigrid solver is particularly clear for nonlinear problems, e.g., eigenvalue problems. If the matrix of the original equation or an eigenvalue problem is symmetric positive definite (SPD), the preconditioner is commonly constructed to be SPD as well, so that the standard conjugate gradient (CG) iterative ...
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Linear least squares (LLS) is the least squares approximation of linear functions to data. It is a set of formulations for solving statistical problems involved in linear regression, including variants for ordinary (unweighted), weighted, and generalized (correlated) residuals.
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