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Nets (Mathematics) --- Réseaux (mathématiques) --- Triangulation --- Solutions numeriques
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Navier-stokes, equations --- Solutions numeriques --- Dynamique des fluides
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Graphes, Théorie des. --- Markov, Processus de --- Probabilités. --- Solutions numériques.
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Information systems --- Differential equations --- Data processing. --- Maple (Computer file) --- Maple (Computer file). --- Maple (logiciel) --- Équations différentielles --- Solutions numériques --- Solutions numériques. --- Équations différentielles --- Solutions numériques.
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"We obtain local boundedness and maximum principles for weak subsolutions to certain infinitely degenerate elliptic divergence form inhomogeneous equations, and also continuity of weak solutions to homogeneous equations. For example, we consider the family {f[sigma]}[sigma]>0 with f[sigma] (x) = e -( 1 [pipe]x[pipe] ) [sigma] , -[infinity]
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Équations différentielles --- Differential equations --- Fonctions propres. --- Eigenfunctions. --- Solutions numériques. --- Numerical solutions.
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The study of numerical methods for solving ordinary differential equations is constantly developing and regenerating, and this third edition of a popular classic volume, written by one of the world's leading experts in the field, presents an account of the subject which reflects both its historical and well-established place in computational science and its vital role as a cornerstone of modern applied mathematics.In addition to serving as a broad and comprehensive study of numerical methods for initial value problems, this book contains a special emphasis on Runge-Kutta methods by the mathematician who transformed the subject into its modern form dating from his classic 1963 and 1972 papers. A second feature is general linear methods which have now matured and grown from being a framework for a unified theory of a wide range of diverse numerical schemes to a source of new and practical algorithms in their own right. As the founder of general linear method research, John Butcher has been a leading contributor to its development; his special role is reflected in the text. The book is written in the lucid style characteristic of the author, and combines enlightening explanations with rigorous and precise analysis. In addition to these anticipated features, the book breaks new ground by including the latest results on the highly efficient G-symplectic methods which compete strongly with the well-known symplectic Runge-Kutta methods for long-term integration of conservative mechanical systems.This third edition of Numerical Methods for Ordinary Differential Equations will serve as a key text for senior undergraduate and graduate courses in numerical analysis, and is an essential resource for research workers in applied mathematics, physics and engineering.
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