By Alena à olcová (auth.), Prof. Michal Křížek, Prof. Pekka Neittaanmäki, Dr. Sergey Korotov, Prof. Roland Glowinski (eds.)

the location taken during this number of pedagogically written essays is that conjugate gradient algorithms and finite point equipment supplement one another super good. through their mixtures practitioners were capable of resolve differential equations and multidimensional difficulties modeled through traditional or partial differential equations and inequalities, now not inevitably linear, optimum keep watch over and optimum layout being a part of those difficulties. the purpose of this booklet is to offer either tools within the context of complex difficulties modeled through linear and nonlinear partial differential equations, to supply an in-depth dialogue on their implementation features. The authors exhibit that conjugate gradient equipment and finite aspect equipment practice to the answer of real-life difficulties. They deal with graduate scholars in addition to specialists in medical computing.

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