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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. .
Mathematical optimization. --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- Engineering mathematics. --- Computer science. --- Numerical analysis. --- Mathematical and Computational Engineering. --- Math Applications in Computer Science. --- Calculus of Variations and Optimal Control; Optimization. --- Numerical Analysis. --- Informatics --- Science --- Engineering --- Engineering analysis --- Mathematics --- Applied mathematics. --- Computer science—Mathematics. --- Calculus of variations. --- Isoperimetrical problems --- Variations, Calculus of
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Transformations (Mathematics) --- Mathematical models --- System identification --- Transformations (Mathématiques) --- Modèles mathématiques --- Systèmes, Identification des --- Biomathematics. --- Inverse problems (Differential equations) --- State-space methods. --- System identification. --- Inverse problems (Differential equations). --- Transformations (Mathématiques) --- Modèles mathématiques --- Systèmes, Identification des
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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. .
Numerical methods of optimisation --- Operational research. Game theory --- Numerical analysis --- Mathematics --- Applied physical engineering --- Engineering sciences. Technology --- Computer science --- Computer. Automation --- analyse (wiskunde) --- computers --- economie --- informatica --- wiskunde --- ingenieurswetenschappen --- kansrekening --- computerkunde --- numerieke analyse --- optimalisatie
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Volkskunde --- Volksliteratuur --- 087.2 = 393
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Volkskunde --- Volksliteratuur --- 087.2 = 4
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