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The major differences between this book and richard's previous title published with TELOS in Jan. '94, are that a) in "Projects" theory was stated, then projects listed as exercises. In "Topics" there will be a set of problems. while the author will refer to some of the more useful algotithms in the "Prjects" text, most algorithms in the "Topics" vilume will be distincly new. Also, b) while "Prjects" in a course book (in context and design) with assigned Problems, "Topics" is inteded as a research reference with stated solutions. The author feels this is an extention of "Projects". "Topics" has a 40-page appendix and no diskette. Finally, the overall style and level of presentation are directed towars the research professional in "Topics", rather than a textbook approach.

Numerical analysis --- Computer science --- Algorithms. --- Science --- Algorithmes --- Sciences --- Analyse numérique --- Data processing. --- Informatique --- Algorithms --- Data processing --- Analyse numérique --- Analyse numérique. --- Science - Data processing --- Numerical analysis - Data processing

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Analyse numérique --- Numerical analysis --- Numerieke analyse --- Problèmes et exercices. --- Problems, exercices, etc --- Problèmes et exercices --- Problems, exercises, etc. --- Analyse numérique --- Problèmes et exercices

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There are many textbooks to choose from when teaching an introductory numerical analysis course, but there is only one Afternotes on Numerical Analysis. This book presents the central ideas of modern numerical analysis in a vivid and straightforward fashion with a minimum of fuss and formality. Stewart designed this volume while teaching an upper-division course in introductory numerical analysis. To clarify what he was teaching, he wrote down each lecture immediately after it was given. The result reflects the wit, insight, and verbal craftmanship which are hallmarks of the author. Simple examples are used to introduce each topic, then the author quickly moves on to the discussion of important methods and techniques. With its rich mixture of graphs and code segments, the book provides insights and advice that help the reader avoid the many pitfalls in numerical computation that can easily trap an unwary beginner.

Numerical analysis --- Analyse numérique --- #TELE:SISTA --- 519.6 --- Mathematical analysis --- Computational mathematics. Numerical analysis. Computer programming --- Numerical analysis. --- 519.6 Computational mathematics. Numerical analysis. Computer programming --- Analyse numérique --- Analyse numérique. --- Itération (mathématiques) --- Iterative methods (Mathematics) --- Itération (mathématiques) --- Integration numerique

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Numerical analysis --- Computer science --- Computer algorithms --- Algorithmes --- Analyse numérique --- Data processing --- Informatique --- -#TELE:SISTA --- 519.6 --- 681.3 *G10 --- Mathematical analysis --- Algorithms --- Computational mathematics. Numerical analysis. Computer programming --- Computerwetenschap--?*G10 --- 519.6 Computational mathematics. Numerical analysis. Computer programming --- Analyse numérique --- #TELE:SISTA --- Numerical analysis - Data processing --- Numerical analysis. Data processing

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"Un cours d'introduction à la théorie des équations différentielles ordinaires, accompagné d'un exposé détaillé de différentes méthodes numériques permettant de les résoudre en pratique". Nombreux exemples concrets. Exercices et problèmes d'application aux chapitres. [SDM].

Analyse numérique --- Equations différentielles --- Numerical analysis --- Differential equations --- Solutions numériques --- Numerical solutions --- Equations differentielles --- Solutions numeriques. --- Solutions numeriques --- Differential equations. --- Numerical analysis. --- Analyse numérique --- Equations différentielles --- Solutions numériques --- Equations differentielles - Solutions numeriques. --- Equations differentielles - Solutions numeriques - Problèmes et exercices