Discusses mainly some nonlinear boundary value problems for elliptic equations & systems, various boundary value problems for degenerate and higher order elliptic equations and systems,...
In recent years, there has been a great deal of interest and activity in the general area of nonparametric smoothing in statistics. This monograph concentrates...
Proven Material for a Course on the Introduction to the Theory and/or on the Applications of Classical Nonparametric MethodsSince its first publication in 1971, Nonparametric...
Of considerable importance to numerical analysts, this text contains the proceedings of the 18th Dundee Biennial Conference on Numerical Analysis, featuring eminent analysts and current...
Parallel Programming with CoArrays describes the basic techniques used to design parallel algorithms for highperformance, scientific computing. It is intended for upperlevel undergraduate students and...
Parallel Programming with CoArrays describes the basic techniques used to design parallel algorithms for highperformance, scientific computing. It is intended for upperlevel undergraduate students and...
The author's research has been directed towards inference involving observables rather than parameters. In this book, he brings together his views on predictive or observable...
Probability and Stochastic Modeling not only covers all the topics found in a traditional introductory probability course, but also emphasizes stochastic modeling, including Markov chains,...
This book illuminates the complex process of problem solving, including formulating the problem, collecting and analyzing data, and presenting the conclusions.
"Ask not what your compiler can do for you, ask what you can do for your compiler."John Levesque, Director of Crays Supercomputing Centers of ExcellenceThe...
Until recently, acquiring a background in the basic methodological principles that apply to most types of investigations meant struggling to obtain results through laborious calculations....
An introduction to radar systems should ideally be selfcontained and handson, a combination lacking in most radar texts. The first edition of Radar Systems Analysis...
An introduction to radar systems should ideally be selfcontained and handson, a combination lacking in most radar texts. The first edition of Radar Systems Analysis...
Modern computerintensive statistical methods play a key role in solving many problems across a wide range of scientific disciplines. This new edition of the bestselling...
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Discusses mainly some nonlinear boundary value problems for elliptic equations & systems, various boundary value problems for degenerate and higher order elliptic equations and systems,...
In recent years, there has been a great deal of interest and activity in the general area of nonparametric smoothing in statistics. This monograph concentrates...
Proven Material for a Course on the Introduction to the Theory and/or on the Applications of Classical Nonparametric MethodsSince its first publication in 1971, Nonparametric...
Of considerable importance to numerical analysts, this text contains the proceedings of the 18th Dundee Biennial Conference on Numerical Analysis, featuring eminent analysts and current...
Parallel Programming with CoArrays describes the basic techniques used to design parallel algorithms for highperformance, scientific computing. It is intended for upperlevel undergraduate students and...
Parallel Programming with CoArrays describes the basic techniques used to design parallel algorithms for highperformance, scientific computing. It is intended for upperlevel undergraduate students and...
The author's research has been directed towards inference involving observables rather than parameters. In this book, he brings together his views on predictive or observable...
Probability and Stochastic Modeling not only covers all the topics found in a traditional introductory probability course, but also emphasizes stochastic modeling, including Markov chains,...
This book illuminates the complex process of problem solving, including formulating the problem, collecting and analyzing data, and presenting the conclusions.
"Ask not what your compiler can do for you, ask what you can do for your compiler."John Levesque, Director of Crays Supercomputing Centers of ExcellenceThe...
Until recently, acquiring a background in the basic methodological principles that apply to most types of investigations meant struggling to obtain results through laborious calculations....
An introduction to radar systems should ideally be selfcontained and handson, a combination lacking in most radar texts. The first edition of Radar Systems Analysis...
An introduction to radar systems should ideally be selfcontained and handson, a combination lacking in most radar texts. The first edition of Radar Systems Analysis...
Modern computerintensive statistical methods play a key role in solving many problems across a wide range of scientific disciplines. This new edition of the bestselling...
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