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Bemærk: Kan ikke leveres før jul.
R can be used consistently in the college mathematics classroom. We no longer have to limit ourselves to ``nice'' functions in calculus classes. We can require... Læs mere
Bemærk: Kan ikke leveres før jul.
Helps you learn how to do big math on small machines with fast and accurate library functions, numerical integration to any order and z-transform formulas.
Bemærk: Kan ikke leveres før jul.
This book addresses and introduces new developments in the field of Quantum Information and Computing (QIC) for a primary audience of undergraduate students. Developments over the past few decades have spurred the need for QIC courseware at major research institutions.
Bemærk: Kan leveres før jul.
Why are some problems easy to solve, while others seem nearly impossible? What can we compute with a given amount of time or memory, and what cannot be computed at all? How... Læs mere
Bemærk: Kan ikke leveres før jul.
Bemærk: Kan ikke leveres før jul.
In this popular text for an Numerical Analysis course, the authors introduce several major methods of solving various partial differential... Læs mere
Bemærk: Kan leveres før jul.
From the reviews: “This outstanding book cannot be substituted with any other book on the present textbook market. a hell of a good book.” MAA Reviews “A highlight of the book is what is... Læs mere
Bemærk: Kan leveres før jul.
Bemærk: Kan ikke leveres før jul.
It starts by introducing the basic mathematics required for quantum mechanics, and then goes on to present, in detail, the notions of quantum mechanics,... Læs mere
Bemærk: Kan ikke leveres før jul.
Bemærk: Kan ikke leveres før jul.
Filling the gap between introductory and encyclopedic treatments, this book provides rich and appealing material for a second course in combinatorial optimization. This book is suitable for graduate students as well as a reference for established researchers.
Bemærk: Kan ikke leveres før jul.
The 9 Pitfalls of Data Science is loaded with entertaining tales of both successful and misguided approaches to interpreting data, both grand successes and epic failures.