E-kitap > Bilim > Matematik > C.A Brebbia & A.H-D Cheng: Boundary Elements and Other Mesh Reduction Methods XXXVIII (PDF)

C.A Brebbia & A.H-D Cheng
Boundary Elements and Other Mesh Reduction Methods XXXVIII

Destek

Örtmek C.A Brebbia & A.H-D Cheng: Boundary Elements and Other Mesh Reduction Methods XXXVIII (PDF)

Containing papers presented at the 38th of long line of conferences covering the most recent advances in Boundary Elements and Mesh Reduction Methods (BEM/MRM), this book contains an important chapter in the history of this important method used in science and engineering.

€276.21

Biçim PDF ● Sayfalar 360 ● ISBN 9781784660284 ● Editör C.A Brebbia & A.H-D Cheng ● Yayımcı WIT Press ● Yayınlanan 2015 ● İndirilebilir 3 kez ● Döviz EUR ● Kimlik 7077473 ● Kopya koruma Adobe DRM

DRM özellikli bir e-kitap okuyucu gerektirir

Aynı yazardan daha fazla e-kitap / Editör

C.A Brebbia A.H-D Cheng C. A Brebbia A. H-D Cheng

47.429 Bu kategorideki e-kitaplar

Francis T.S. (Pennsylvania State University, University Park, USA) Yu: The Nature of Temporal (t > 0) Science

The author has shown that practically all our laws, principles, and theories are not physically realizable, since they were derived from an empty space paradigm. From which this book is started with …

Örtmek Bruce Crauder & Benny Evans: Preparation for Calculus

Bruce Crauder & Benny Evans: Preparation for Calculus

Örtmek COMAP: For All Practical Purposes

COMAP: For All Practical Purposes

Örtmek 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 …

Örtmek 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 …

Örtmek 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 …

Örtmek 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 …

Örtmek 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 …

Örtmek Christopher Wayne (Lycoming College, Williamsport, PA, USA) Kulp & Vasilis (McDaniel College, Westminster, MD, USA) Pagonis: Mathematical Methods using Python

Christopher Wayne (Lycoming College, Williamsport, PA, USA) Kulp & Vasilis (McDaniel College, Westminster, MD, USA) Pagonis: Mathematical Methods using Python

This advanced undergraduate textbook presents a new approach to teaching mathematical methods for scientists and engineers. It provides a practical, pedagogical introduction to utilizing Python in Ma …

Örtmek Gustavo Da Silva (UEP, Brazil) Araujo & Gustavo A. Munoz (UCM, Spain) Fernandez: Real Analysis

Gustavo Da Silva (UEP, Brazil) Araujo & Gustavo A. Munoz (UCM, Spain) Fernandez: Real Analysis

Real Analysis: An Undergraduate Problem Book for Mathematicians, Applied Scientists, and Engineers is a classical Real Analysis/Calculus problem book. This topic has been a compulsory subject for eve …

Sonraki Sayfa >>>