The goal of this book is to gather in a single work the most relevant concepts related in optimization methods, showing how such theories and methods can be addressed using the open source, multi-platform R tool. Modern optimization methods, also known as metaheuristics, are particularly useful for
Modern Optimization with R
β Scribed by Paulo Cortez (auth.)
- Publisher
- Springer
- Year
- 2014
- Tongue
- English
- Leaves
- 188
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Subjects
Discrete Optimization
π SIMILAR VOLUMES
<div>The goal of this book is to gather in a single work the most relevant concepts related in optimization methods, showing how such theories and methods can be addressed using the open source, multi-platform R tool. Modern optimization methods, also known as metaheuristics, are particularly useful
Experimental design is often overlooked in the literature of applied and mathematical statistics: statistics is taught and understood as merely a collection of methods for analyzing data. Consequently, experimenters seldom think about optimal design, including prerequisites such as the necessary sam