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Text Mining with MATLAB provides a comprehensive introduction to text mining using MATLAB. It’s designed to help text mining practitioners, as well as those with little-to-no experience with text mining in general, familiarize themselves with MATLAB and its complex applications.
Generic programming is about making programs more adaptable by making them more general.
Fundamentals of Matrix-Analytic Methods targets advanced-level students in mathematics, engineering and computer science. It focuses on the fundamental parts of... Læs mere
The theory of algorithmic randomness uses tools from computability theory and algorithmic information theory to address questions such as these. It will be of... Læs mere
Walter Gautschi has written extensively on topics ranging from special functions, quadrature and orthogonal polynomials to difference and differential equations, software implementations, and the history of mathematics.
These include random matrix theory, nonparametric statistics, empirical process theory, statistical learning theory, concentration of measure phenomena,... Læs mere
The book of Sturmfels is both an easy-to-read textbook for invariant theory and a challenging research monograph that introduces a new approach to the algorithmic side of invariant theory.
The two-volume set LNCS 8297 and LNCS 8298 constitutes the proceedings of... Læs mere
This book provides readers with modern computational techniques for solving variety of problems from electrical, mechanical, civil and chemical engineering.
This book offers an introduction to key topics in quantum information science and quantum coherent phenomena, covering quantum retrodiction, ultracold quantum gases in optical lattices, optomechanics, quantum algorithms, quantum key distribution and much more.
This book constitutes the refereed proceedings of the 12th International Symposium on Functional and Logic Programming, FLOPS 2014, held in Kanazawa, Japan, in June 2014. They deal with declarative programming, including functional programming and logic programming.