Ordinary Differential Equations Covers The Fundamentals Of The Theory Of Ordinary Differential Equations (Odes), Including An Extensive Discussion Of The Integration Of Differential Inequalities, On...
This volume consists of two comprehensive survey papers on parallel algorithms for solving problems arising in the major areas of numerical linear algebra direct solution...
In the past decade, primaldual algorithms have emerged as the most important and useful algorithms from the interiorpoint class. This book presents the major primaldual...
Principles of Computerized Tomographic Imaging provides a comprehensive, tutorialstyle introduction to the algorithms for reconstructing crosssectional images from projection data and contains a complete overview...
Tremendous Progress Has Taken Place In The Related Areas Of Uniform Pseudorandom Number Generation And Quasimonte Carlo Methods In The Last Five Years. This Volume...
Here is a brief, wellorganized, and easytofollow introduction and overview of robust statistics. Huber focuses primarily on the important and clearly understood case of distribution...
Simulating, Analyzing, and Animating Dynamical Systems: A Guide to XPPAUT for Researchers and Students provides sophisticated numerical methods for the fast and accurate solution of...
Here is an elementary development of the SincGalerkin method with the focal point being ordinary and partial differential equations. This is the first book to...
An accessible text for the study of numerical methods for solving least squares problems remains an essential part of a scientific software foundation. This book...
This book delves into the rapidly changing area of combustion, in which asymptotic methods and bifurcation theory have made a significant impact as have the...
Vortex methods have emerged as a new class of powerful numerical techniques to analyze and compute vortex motion. This book addresses the theoretical, numerical, computational,...
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Ordinary Differential Equations Covers The Fundamentals Of The Theory Of Ordinary Differential Equations (Odes), Including An Extensive Discussion Of The Integration Of Differential Inequalities, On...
This volume consists of two comprehensive survey papers on parallel algorithms for solving problems arising in the major areas of numerical linear algebra direct solution...
In the past decade, primaldual algorithms have emerged as the most important and useful algorithms from the interiorpoint class. This book presents the major primaldual...
Principles of Computerized Tomographic Imaging provides a comprehensive, tutorialstyle introduction to the algorithms for reconstructing crosssectional images from projection data and contains a complete overview...
Tremendous Progress Has Taken Place In The Related Areas Of Uniform Pseudorandom Number Generation And Quasimonte Carlo Methods In The Last Five Years. This Volume...
Here is a brief, wellorganized, and easytofollow introduction and overview of robust statistics. Huber focuses primarily on the important and clearly understood case of distribution...
Simulating, Analyzing, and Animating Dynamical Systems: A Guide to XPPAUT for Researchers and Students provides sophisticated numerical methods for the fast and accurate solution of...
Here is an elementary development of the SincGalerkin method with the focal point being ordinary and partial differential equations. This is the first book to...
An accessible text for the study of numerical methods for solving least squares problems remains an essential part of a scientific software foundation. This book...
This book delves into the rapidly changing area of combustion, in which asymptotic methods and bifurcation theory have made a significant impact as have the...
Vortex methods have emerged as a new class of powerful numerical techniques to analyze and compute vortex motion. This book addresses the theoretical, numerical, computational,...
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