Ebook > Science > Mathématiques > C.A Brebbia & G.M Carlomagno: Computational and Experimental Studies (PDF)

C.A Brebbia & G.M Carlomagno
Computational and Experimental Studies

Support

Couverture du C.A Brebbia & G.M Carlomagno: Computational and Experimental Studies (PDF)

Comprising specially selected papers on the subject of Computational Methods and Experimental Measurements, this book includes research from scientists, researchers and specialists who perform experiments, develop computer codes and carry out measurements on prototypes. This title explores new experimental and computational methods.

€162.74

Format PDF ● Pages 242 ● ISBN 9781784663100 ● Éditeur C.A Brebbia & G.M Carlomagno ● Maison d’édition WIT Press ● Publié 2018 ● Téléchargeable 3 fois ● Devise EUR ● ID 7077554 ● Protection contre la copie Adobe DRM

Nécessite un lecteur de livre électronique compatible DRM

Plus d’ebooks du même auteur(s) / Éditeur

C.A Brebbia G.M Carlomagno S Ivorra Y Villacampa C. A Brebbia G. M Carlomagno S. Ivorra Y. Villacampa

47 429 Ebooks dans cette catégorie

Couverture du COMAP: For All Practical Purposes

COMAP: For All Practical Purposes

Couverture du 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 …

Couverture du 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 …

Couverture du 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 …

Couverture du 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 …

Couverture du 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 …

Couverture du 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 …

Couverture du 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 …

Couverture du 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 …

Couverture du Diana Cole: Parameter Redundancy and Identifiability

Diana Cole: Parameter Redundancy and Identifiability

Page suivante >>>