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Author
Publisher
John Wiley & Sons, Inc
Pub. Date
[2022]
Language
English
Description
"The first step in sequential decision problems is to understand what decisions are being made. It is surprising how often it is that people faced with complex problems, which spans scientists in a lab to people trying to solve major health problems, are not able to identify the decisions they face. We then want to find a method for making decisions. There are at least 45 words in the English language that are equivalent to "method for making a decision,"...
Author
Publisher
Apress
Pub. Date
[2022]
Language
English
Description
Employ essential tools and functions of the MATLAB and Simulink packages, which are explained and demonstrated via interactive examples and case studies. This revised edition covers features from the latest MATLAB 2022b release, as well as other features that have been released since the first edition published. This book contains dozens of simulation models and solved problems via m-files/scripts and Simulink models which will help you to learn programming...
Publisher
Elsevier
Pub. Date
[2017]
Language
English
Description
Advances in GPU Research and Practice focuses on research and practices in GPU based systems. The topics treated cover a range of issues, ranging from hardware and architectural issues, to high level issues, such as application systems, parallel programming, middleware, and power and energy issues. Divided into six parts, this edited volume provides the latest research on GPU computing. Part I: Architectural Solutions focuses on the architectural...
4) Statistics and probability with applications for engineers and scientists using Minitab, R and JMP
Author
Publisher
John Wiley & Sons, Inc
Pub. Date
2020.
Language
English
Description
"This new edition shows how real world problems can be solved using statistical concepts, now with many timely updates. The authors have included R software and removed the Excel exhibits throughout the book. The new Chapter 20 discusses data mining including topics in big data, classification, machine learning, and visualization. The new Chapter 21 covers cluster analysis methodologies including in hierarchical, nonhierarchical, and model based clustering....
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