1,721,051 research outputs found
Computer-Aided Chemical Engineering, Vol. 28 - 20th European Symposium on Computer Aided Process Engineering
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Nonlinear Systems and Optimization for the Chemical Engineer: Solving Numerical Problems
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This third book in a suite of four practical guides is an engineer's companion to using numerical methods for the solution of complex mathematical problems. The required software is provided by way of the freeware mathematical library BzzMath that is developed and maintained by the authors. The present volume focuses on optimization from experimental to large-scale processes. The book describes numerical methods, innovative techniques and strategies that are all implemented in a well-established, freeware library. Each of these handy guides enables the reader to use and implement standard numerical tools for their work, explaining the theory behind the various functions and problem solvers, and showcasing applications in diverse scientific and engineering fields. Numerous examples, sample codes, programs and applications are proposed and discussed. The book teaches engineers and scientists how to use the latest and most powerful numerical methods for their daily work
Interpolation and Regression Models for the Chemical Engineer: Solving Numerical Problems
No full textCOVER BACK: An engineer‘s companion to using numerical methods for the solution of complex mathematical problems. It explains the theory behind current numerical methods and shows in a step-by-step fashion how to use them, focusing on interpolation and regression models. The methods and examples are taken from a wide range of scientific and engineering fields, including chemical engineering, electrical engineering, physics, medicine, and environmental science. The material is based on several courses for scientists and engineers taught by the authors, and all the exercises and problems are classroomtested.
The required software is provided by way of a freely accessible
program library at the Politecnico di Milano that provides up-to-date software tools for all the methods described in the book
Reaction-deactivation kinetics of methanol oxidation over a silica-supported Fe2O3-MoO3 catalyst
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Fundamentals and Linear Algebra for the Chemical Engineer: Solving Numerical Problems
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Engineers and other applied scientists are frequently faced with models of complex systems for which no rigorous mathematical solution can be calculated. Numerical approximations are thus frequently used to predict the behavior of such systems, either based on real-life measurements or on the behavior of simpler models. This is the engineer‘s companion to using numerical methods for the solution of complex mathematical problems. It enables readers to use and implement standard numerical tools in their work, explaining the theory behind the various functions and problem-solvers, while showcasing applications in diverse scientific and engineering fields. The material is based on several tried-and-tested courses for scientists and engineers taught by the authors, and all the exercises and problems are classroom-tested. The software needed is freeware developed and maintained by the authors, included on the accompanying CD-ROM, together with an installation tutorial, all the examples and sample codes described in the book, as well as a host of additional examples. An essential tool made transparent for chemical, process and electrical engineers, as well as applied mathematicians in their daily work
A Comprehensive Investigation of Outlier Sources for Models Fitting Experimental Data
No full textThe present activity deals with a comprehensive investigation of many sources of outliers. The practical field of fitting experimental data sets with regression models is selected as discussion case and the online detection of gross errors in raw data sets of a large-scale refinery process is adopted as final example
Parallel Computing Directives and Object-Oriented Programming for Optimization Methods
No full textThis research activity is mainly aimed at showing potentialities in coupling object-oriented programming with parallel computing. Wide margins of benefits could be obtained at the same time in algorithm efficiency and robustness with a relatively small programming effort. The case of unconstrained multi-dimensional optimization in presence of multimodality, discontinuities, and narrow valley issues is proposed as quantitative example
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