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

the location taken during this selection of pedagogically written essays is that conjugate gradient algorithms and finite aspect tools supplement one another super good. through their mixtures practitioners were in a position to resolve differential equations and multidimensional difficulties modeled by means of traditional or partial differential equations and inequalities, now not inevitably linear, optimum keep an eye on and optimum layout being a part of those difficulties. the purpose of this e-book is to give either equipment within the context of advanced difficulties modeled by way of linear and nonlinear partial differential equations, to supply an in-depth dialogue on their implementation elements. The authors express that conjugate gradient equipment and finite aspect equipment follow to the answer of real-life difficulties. They deal with graduate scholars in addition to specialists in medical computing.

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