Ebook > Nauka > Matematyka > Gregoire Allaire: Numerical Analysis and Optimization (PDF)

Gregoire Allaire
Numerical Analysis and Optimization
An Introduction to Mathematical Modelling and Numerical Simulation

Wsparcie

Pokrywa Gregoire Allaire: Numerical Analysis and Optimization (PDF)

This text, based on the author’s teaching at Ecole Polytechnique, introduces the reader to the world of mathematical modelling and numerical simulation. Covering the finite difference method; variational formulation of elliptic problems; Sobolev spaces; elliptical problems; the finite element method; Eigenvalue problems; evolution problems; optimality conditions and algorithms and methods of operational research, and including a several exercises throughout, this is an ideal text for advanced undergraduate students and graduates in applied mathematics, engineering, computer science, and the physical sciences.

€65.25

Język Angielski ● Format PDF ● ISBN 9780191525520 ● Tłumacz Alan Craig ● Wydawca OUP Oxford ● Opublikowany 2007 ● Do pobrania 6 czasy ● Waluta EUR ● ID 2272830 ● Ochrona przed kopiowaniem Adobe DRM

Wymaga czytnika ebooków obsługującego DRM

Więcej książek elektronicznych tego samego autora (ów) / Redaktor

Gregoire Allaire

47 429 Ebooki w tej kategorii

Pokrywa COMAP: For All Practical Purposes

COMAP: For All Practical Purposes

Pokrywa Lucia Darrow & Walter DeGrange: Field Guide to Compelling Analytics

Lucia Darrow & Walter DeGrange: Field Guide to Compelling Analytics

Field Guide to Compelling Analytics is written for Analytics Professionals (APs) who want to increase their probability of success in implementing analytical solutions. In the past, soft skills such …

Pokrywa Michael J. (University of Florida, Gainesville, USA) Daniels & Antonio Linero: Bayesian Nonparametrics for Causal Inference and Missing Data

Michael J. (University of Florida, Gainesville, USA) Daniels & Antonio Linero: Bayesian Nonparametrics for Causal Inference and Missing Data

Bayesian Nonparametrics for Causal Inference and Missing Data provides an overview of flexible Bayesian nonparametric (BNP) methods for modeling joint or conditional distributions and functional rela …

Pokrywa Chris (University of Bath, UK) Chatfield: Problem Solving

Chris (University of Bath, UK) Chatfield: Problem Solving

This book illuminates the complex process of problem solving, including formulating the problem, collecting and analyzing data, and presenting the …

Pokrywa Rudolf Taschner: Numbers at Work

Rudolf Taschner: Numbers at Work

Drawing primarily from historical examples, this book explains the tremendous role that numbers and, in particular, mathematics play in all aspects of our civilization and culture. The lively style …

Pokrywa Martin Hugh (University of Victoria, Division of Continuing Studies, Canada) Monkman: The Data Preparation Journey

Martin Hugh (University of Victoria, Division of Continuing Studies, Canada) Monkman: The Data Preparation Journey

The Data Preparation Journey: Finding Your Way With R introduces the principles of data preparation within in a systematic approach that follows a typical data science or statistical workflow. With t …

Pokrywa H.R. Madala: Inductive Learning Algorithms for Complex Systems Modeling

H.R. Madala: Inductive Learning Algorithms for Complex Systems Modeling

Inductive Learning Algorithms for Complex Systems Modeling is a professional monograph that surveys new types of learning algorithms for modeling complex scientific systems in science and …

Pokrywa John E. Kolassa: An Introduction to Nonparametric Statistics

John E. Kolassa: An Introduction to Nonparametric Statistics

An Introduction to Nonparametric Statistics presents techniques for statistical analysis in the absence of strong assumptions about the distributions generating the data.　Rank-based and resamplin …

Pokrywa William H. Beyer: Handbook of Mathematical Science

William H. Beyer: Handbook of Mathematical Science

Numerical tables of mathematical and statistical functions are in continual demand by professional scientists, by those in the teaching profession, and by students of mathematics and related …

Pokrywa Diana Cole: Parameter Redundancy and Identifiability

Diana Cole: Parameter Redundancy and Identifiability

Następna strona >>>