David Hyde and Alex Pothen introduce the Special Issue on Quantum Computing and survey some exciting technical developments.
Quantum algorithms can be understood through linear algebra and offer different tradeoffs than classical algorithms.
The fusion of machine learning and quantum computing has created an unprecedented avenue for innovation.
Quantum computing promises enormous computing power at low costs, marking a new chapter for financial mathematics.
It is quite difficult to fully harness the potential of quantum computers and outperform classical computers.
The High School Mathematical Contest in Modeling tasked students with two open-ended, real-world problems.
The Hackathon encouraged participants to tackle questions about worldwide energy data availability and solar resource potential.
Mark Levi draws connections between the conformal equivalence and electrical resistance of annular regions.
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2018 / viii + 60 pages / ebook / eISBN 978-1-611975-22-2 / List Price $24.00 / SIAM Member Price $16.80 / Order Code: SE28
Keywords: orthogonal polynomials; Matlab software; classical weight functions; quasi-classical weight functions; nonclassical weight functions
Contents Preface Index
This is the first book that provides graphs and references to online datasets that enable the generation of a large number of orthogonal polynomials with classical, quasi-classical, and nonclassical weight functions. Useful numerical tables are also included.
Audience The book will be of interest to scientists, engineers, applied mathematicians, and statisticians.
About the Author Walter Gautschi has held postdoctoral positions at the Istituto per le Applicazioni del Calcolo “Mauro Picone” in Rome and at Harvard University. He was Research Mathematician at the National Bureau of Standards in Washington, D.C. for four years and at Oak Ridge National Laboratory for three years before taking on a full professorship at Purdue University, where he remained until his retirement in 2000. Elected Corresponding Member of the Bavarian Academy of Sciences and Foreign Member of the Turin Academy of Sciences, Gautschi has served on the editorial committees of several journals and was chairman of the Mathematics of Computation editorial board. He has published extensively in the areas of computational mathematics, orthogonal polynomials, and history, including two books.
eISBN 9781611975222