@article{839058,
      recid = {839058},
      author = {French, Mark,},
      title = {Fundamentals of Optimization : Methods, Minimum  Principles, and Applications for Making Things Better /},
      pages = {1 online resource (xiv, 249 pages) :},
      abstract = {This textbook is for readers new or returning to the  practice of optimization whose interest in the subject may  relate to a wide range of products and processes. Rooted in  the idea of "minimum principles," the book introduces the  reader to the analytical tools needed to apply optimization  practices to an array of single- and multi-variable  problems. While comprehensive and rigorous, the treatment  requires no more than a basic understanding of technical  math and how to display mathematical results visually. It  presents a group of simple, robust methods and illustrates  their use in clearly-defined examples. Distinct from the  majority of optimization books on the market intended for a  mathematically sophisticated audience who might want to  develop their own new methods of optimization or do  research in the field, this volume fills the void in  instructional material for those who need to understand the  basic ideas. The text emerged from a set of  applications-driven lecture notes used in optimization  courses the author has taught for over 25 years. The book  is class-tested and refined based on student feedback,  devoid of unnecessary abstraction, and ideal for students  and practitioners from across the spectrum of engineering  disciplines. It provides context through practical examples  and sections describing commercial application of  optimization ideas, such as how containerized freight and  changing sea routes have been used to continually reduce  the cost of moving freight across oceans. It also features  2D and 3D plots and an appendix illustrating the most  widely used MATLAB optimization functions. Facilitates a  solid grasp of the core concepts in optimization for  students with no more than a background in basic technical  math (derivatives); Maximizes reader understanding by  focusing on a select group of simple, robust methods;  Reinforces concepts with many numerical examples done in  MathCAD clearly showing the intermediate calculations along  with final results; Provides context through practical  examples, including discussions of how optimization is used  in commercial applications; Illustrates results  graphically.},
      url = {http://library.usi.edu/record/839058},
      doi = {https://doi.org/10.1007/978-3-319-76192-3},
}