TY - BOOK ID - 700811 TI - Numerical Methods and Optimization : A Consumer Guide PY - 2014 SN - 331907671X 3319076701 PB - Cham : Springer International Publishing : Imprint: Springer, DB - UniCat KW - Mathematical optimization. KW - Optimization (Mathematics) KW - Optimization techniques KW - Optimization theory KW - Systems optimization KW - Mathematical analysis KW - Maxima and minima KW - Operations research KW - Simulation methods KW - System analysis KW - Engineering mathematics. KW - Computer science. KW - Numerical analysis. KW - Mathematical and Computational Engineering. KW - Math Applications in Computer Science. KW - Calculus of Variations and Optimal Control; Optimization. KW - Numerical Analysis. KW - Informatics KW - Science KW - Engineering KW - Engineering analysis KW - Mathematics KW - Applied mathematics. KW - Computer science—Mathematics. KW - Calculus of variations. KW - Isoperimetrical problems KW - Variations, Calculus of UR - https://www.unicat.be/uniCat?func=search&query=sysid:700811 AB - Initial training in pure and applied sciences tends to present problem-solving as the process of elaborating explicit closed-form solutions from basic principles, and then using these solutions in numerical applications. This approach is only applicable to very limited classes of problems that are simple enough for such closed-form solutions to exist. Unfortunately, most real-life problems are too complex to be amenable to this type of treatment. Numerical Methods and Optimization – A Consumer Guide presents methods for dealing with them. Shifting the paradigm from formal calculus to numerical computation, the text makes it possible for the reader to · discover how to escape the dictatorship of those particular cases that are simple enough to receive a closed-form solution, and thus gain the ability to solve complex, real-life problems; · understand the principles behind recognized algorithms used in state-of-the-art numerical software; <· learn the advantages and limitations of these algorithms, to facilitate the choice of which pre-existing bricks to assemble for solving a given problem; and · acquire methods that allow a critical assessment of numerical results. Numerical Methods and Optimization – A Consumer Guide will be of interest to engineers and researchers who solve problems numerically with computers or supervise people doing so, and to students of both engineering and applied math ematics. . ER -