Norma Alias (11 results)

Imperial octavo softcover (VG+); all our specials have minimal description to keep listing them viable. They are at least reading copies, complete and in reasonable condition, but usually secondhand; frequently they are superior examples.Ordering more than one book will reduce your overall postage cost.

Taschenbuch. Condition: Neu. Discretization of Crack Propagation on Parallel Computing | Complexity and Parallel Algorithms with Source Code | Norma Alias (u. a.) | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783639285994 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Taschenbuch. Condition: Neu. Tumor Growth Prediction Using Parallel Computing | Numerical Solutions based on Multi-dimensional Partial Differential Equation (PDE) | Norma Alias (u. a.) | Taschenbuch | 172 S. | Englisch | 2010 | LAP LAMBERT Academic Publishing | EAN 9783838396996 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Paperback. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Paperback. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Alias NormaNorma Alias, PhD: Studied Industrial Computing at National University of Malaysia. Senior Lecturer at Ibnu Sina Institute, UTM, Malaysia. Md. Rajibul Islam, M.Sc (by Research): Studied IT at Multimedia University, Malay.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The parallel algorithm for the simulation of human tumor growth is a new invention at the present time. The tumor cells split too often, without any order and drop the ability to control their growths. In this book, the invention of the early detection of brain tumors growth is presented. The monitoring and visualization of tumor cells growth are based on the large scale mathematical simulation. The tools of partial different equations via multi-dimensional parabolic types are emphases as the computational engine for the future prediction of the cell growth. This study focuses on the implementation of parallel algorithm for the simulation of tumor growth using two dimensional Helmholtz's wave equation on a distributed parallel computing system. The numerical finite-difference method is chosen as a platform for discretizating the wave equations. Parallel Virtual Machine (PVM) software is emphasized as communication platform in parallel computer system. The performance of the parallel computing is analyzed. This proposed system will reduce the painful situation of regular diagnosis to the brain tumor patients in early detection stage. 172 pp. Englisch.

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Alias NormaNorma Alias, PhD: Studied Industrial Computing at National University of Malaysia. Senior Lecturer at Ibnu Sina Institute, UTM, Malaysia. Md. Rajibul Islam, M.Sc (by Research): Studied IT at Multimedia University, Malaysia.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Deformation due to stress and strain that lead to an initiation of crack and then propagates is usually being modelled satisfactory by using finite element method (FEM). The mathematical model was developed by using the relationship between the forces applied to the individual elements and the nodal displacements. The element stiffness matrix which had been set up earlier can be used to describe the elastic deformation since the numerical FEM is emphasized as a platform for discretization of one- dimensional continua problems where the stress is uniaxial and implemented on parallel algorithm using the distributed parallel computer system. Parallel algorithm is used by Parallel Virtual Machine (PVM) software tool to capture the visualization of the overall extension and the stress distribution in a linearly tapered bar of circular section with an end load. The results obtained from the finite element approximation are presented graphically. In this book, the performance measurements of algorithm are presented in terms of speedup, efficiency, effectiveness and temporal performance.

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The parallel algorithm for the simulation of human tumor growth is a new invention at the present time. The tumor cells split too often, without any order and drop the ability to control their growths. In this book, the invention of the early detection of brain tumors growth is presented. The monitoring and visualization of tumor cells growth are based on the large scale mathematical simulation. The tools of partial different equations via multi-dimensional parabolic types are emphases as the computational engine for the future prediction of the cell growth. This study focuses on the implementation of parallel algorithm for the simulation of tumor growth using two dimensional Helmholtz''s wave equation on a distributed parallel computing system. The numerical finite-difference method is chosen as a platform for discretizating the wave equations. Parallel Virtual Machine (PVM) software is emphasized as communication platform in parallel computer system. The performance of the parallel computing is analyzed. This proposed system will reduce the painful situation of regular diagnosis to the brain tumor patients in early detection stage.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 172 pp. Englisch.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The parallel algorithm for the simulation of human tumor growth is a new invention at the present time. The tumor cells split too often, without any order and drop the ability to control their growths. In this book, the invention of the early detection of brain tumors growth is presented. The monitoring and visualization of tumor cells growth are based on the large scale mathematical simulation. The tools of partial different equations via multi-dimensional parabolic types are emphases as the computational engine for the future prediction of the cell growth. This study focuses on the implementation of parallel algorithm for the simulation of tumor growth using two dimensional Helmholtz's wave equation on a distributed parallel computing system. The numerical finite-difference method is chosen as a platform for discretizating the wave equations. Parallel Virtual Machine (PVM) software is emphasized as communication platform in parallel computer system. The performance of the parallel computing is analyzed. This proposed system will reduce the painful situation of regular diagnosis to the brain tumor patients in early detection stage.