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  2. Petrov–Galerkin method - Wikipedia

    en.wikipedia.org/wiki/Petrov–Galerkin_method

    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 .

  3. Heinz P. Bloch - Wikipedia

    en.wikipedia.org/wiki/Heinz_P._Bloch

    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

  4. Schaum's Outlines - Wikipedia

    en.wikipedia.org/wiki/Schaum's_Outlines

    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 ...

  5. Engineering Equation Solver - Wikipedia

    en.wikipedia.org/wiki/Engineering_Equation_Solver

    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.

  6. Multigrid method - Wikipedia

    en.wikipedia.org/wiki/Multigrid_method

    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 ...

  7. Linear least squares - Wikipedia

    en.wikipedia.org/wiki/Linear_least_squares

    Mathematically, linear least squares is the problem of approximately solving an overdetermined system of linear equations A x = b, where b is not an element of the column space of the matrix A. The approximate solution is realized as an exact solution to A x = b', where b' is the projection of b onto the column space of A. The best ...

  8. Automated theorem proving - Wikipedia

    en.wikipedia.org/wiki/Automated_theorem_proving

    The quality of implemented systems has benefited from the existence of a large library of standard benchmark examples—the Thousands of Problems for Theorem Provers (TPTP) Problem Library [25] —as well as from the CADE ATP System Competition (CASC), a yearly competition of first-order systems for many important classes of first-order problems.

  9. Functional analysis - Wikipedia

    en.wikipedia.org/wiki/Functional_analysis

    An important part of functional analysis is the extension of the ... Many special cases of this invariant subspace problem have ... McGraw-Hill Science, 1991; ...

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