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This book is the very first one in the English language dedicated to the Lambert W function, its generalizations, and its applications. One goal is to promote future research on the topic. The book contains all the information one needs when trying to find a result. The most important formulas and results are framed
This book is the very first one in the English language dedicated to the Lambert W function, its generalizations, and its applications. One goal is to promote future research on the topic. The book contains all the information one needs when trying to find a result. The most important formulas and results are framed
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István Mezo is Research Professor, Nanjing University of Information Science & Technology, Nanjing, P.R. China. He holds a Ph.D. from University of Debrecen, Institute of Mathematics, Debrecen, Hungary. He has 72 published articles with 600 citations. He is also the author of Combinatorics and Number Theory of Counting Sequences, published by CRC Press and recognized by CHOICE magazine as a recommended title among 2020 publications.
Inhaltsangabe
Part I: The classical Lambert W function
1.Basic Properties of W 2.The Branch Structure of the Lambert W Function 3.Unwinding Number and Branch Differences 4.Numerical Approximations
Part II: Generalized Lambert functions
5.Generalizations of the Lambert function 6.The r-Lambert Function
Part III: Applications
7.Physical applications 8.Biology, Ecology, Probability 9.Mathematical applications
Part I: The classical Lambert W function 1.Basic Properties of W 2.The Branch Structure of the Lambert W Function 3.Unwinding Number and Branch Differences 4.Numerical Approximations Part II: Generalized Lambert functions 5.Generalizations of the Lambert function 6.The r-Lambert Function Part III: Applications 7.Physical applications 8.Biology, Ecology, Probability 9.Mathematical applications
1.Basic Properties of W 2.The Branch Structure of the Lambert W Function 3.Unwinding Number and Branch Differences 4.Numerical Approximations
Part II: Generalized Lambert functions
5.Generalizations of the Lambert function 6.The r-Lambert Function
Part III: Applications
7.Physical applications 8.Biology, Ecology, Probability 9.Mathematical applications
Part I: The classical Lambert W function 1.Basic Properties of W 2.The Branch Structure of the Lambert W Function 3.Unwinding Number and Branch Differences 4.Numerical Approximations Part II: Generalized Lambert functions 5.Generalizations of the Lambert function 6.The r-Lambert Function Part III: Applications 7.Physical applications 8.Biology, Ecology, Probability 9.Mathematical applications
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