Matrix, Numerical, and Optimization Methods in Science and Engineering
Title | Matrix, Numerical, and Optimization Methods in Science and Engineering PDF eBook |
Author | Kevin W. Cassel |
Publisher | Cambridge University Press |
Pages | 727 |
Release | 2021-03-04 |
Genre | Mathematics |
ISBN | 110847909X |
Vector and matrix algebra -- Algebraic eigenproblems and their applications -- Differential eigenproblems and their applications -- Vector and matrix calculus -- Analysis of discrete dynamical systems -- Computational linear algebra -- Numerical methods for differential equations -- Finite-difference methods for boundary-value problems -- Finite-difference methods for initial-value problems -- Least-squares methods -- Data analysis : curve fitting and interpolation -- Optimization and root finding of algebraic systems -- Data-driven methods and reduced-order modeling.
Matrix, Numerical, and Optimization Methods in Science and Engineering
Title | Matrix, Numerical, and Optimization Methods in Science and Engineering PDF eBook |
Author | Kevin W. Cassel |
Publisher | Cambridge University Press |
Pages | 728 |
Release | 2021-03-04 |
Genre | Technology & Engineering |
ISBN | 1108787622 |
Address vector and matrix methods necessary in numerical methods and optimization of linear systems in engineering with this unified text. Treats the mathematical models that describe and predict the evolution of our processes and systems, and the numerical methods required to obtain approximate solutions. Explores the dynamical systems theory used to describe and characterize system behaviour, alongside the techniques used to optimize their performance. Integrates and unifies matrix and eigenfunction methods with their applications in numerical and optimization methods. Consolidating, generalizing, and unifying these topics into a single coherent subject, this practical resource is suitable for advanced undergraduate students and graduate students in engineering, physical sciences, and applied mathematics.
Numerical Methods and Optimization
Title | Numerical Methods and Optimization PDF eBook |
Author | Jean-Pierre Corriou |
Publisher | Springer Nature |
Pages | 730 |
Release | 2022-01-04 |
Genre | Mathematics |
ISBN | 3030893669 |
This text, covering a very large span of numerical methods and optimization, is primarily aimed at advanced undergraduate and graduate students. A background in calculus and linear algebra are the only mathematical requirements. The abundance of advanced methods and practical applications will be attractive to scientists and researchers working in different branches of engineering. The reader is progressively introduced to general numerical methods and optimization algorithms in each chapter. Examples accompany the various methods and guide the students to a better understanding of the applications. The user is often provided with the opportunity to verify their results with complex programming code. Each chapter ends with graduated exercises which furnish the student with new cases to study as well as ideas for exam/homework problems for the instructor. A set of programs made in MatlabTM is available on the author’s personal website and presents both numerical and optimization methods.
Numerical Optimization in Engineering and Sciences
Title | Numerical Optimization in Engineering and Sciences PDF eBook |
Author | Debashis Dutta |
Publisher | Springer Nature |
Pages | 569 |
Release | 2020-04-07 |
Genre | Technology & Engineering |
ISBN | 981153215X |
This book presents select peer-reviewed papers presented at the International Conference on Numerical Optimization in Engineering and Sciences (NOIEAS) 2019. The book covers a wide variety of numerical optimization techniques across all major engineering disciplines like mechanical, manufacturing, civil, electrical, chemical, computer, and electronics engineering. The major focus is on innovative ideas, current methods and latest results involving advanced optimization techniques. The contents provide a good balance between numerical models and analytical results obtained for different engineering problems and challenges. This book will be useful for students, researchers, and professionals interested in engineering optimization techniques.
Numerical Methods and Optimization
Title | Numerical Methods and Optimization PDF eBook |
Author | Éric Walter |
Publisher | Springer |
Pages | 485 |
Release | 2014-07-22 |
Genre | Technology & Engineering |
ISBN | 331907671X |
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 – 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 – 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 mathematics.
Numerical Engineering Optimization
Title | Numerical Engineering Optimization PDF eBook |
Author | Andreas Öchsner |
Publisher | Springer Nature |
Pages | 232 |
Release | 2020-04-08 |
Genre | Science |
ISBN | 3030433889 |
This study aid on numerical optimization techniques is intended for university undergraduate and postgraduate mechanical engineering students. Optimization procedures are becoming more and more important for lightweight design, where weight reduction can, for example in the case of automotive or aerospace industry, lead to lower fuel consumption and a corresponding reduction in operational costs as well as beneficial effects on the environment. Based on the free computer algebra system Maxima, the authors present procedures for numerically solving problems in engineering mathematics as well as applications taken from traditional courses on the strength of materials. The mechanical theories focus on the typical one-dimensional structural elements, i.e., springs, bars, and Euler–Bernoulli beams, in order to reduce the complexity of the numerical framework and limit the resulting design to a low number of variables. The use of a computer algebra system and the incorporated functions, e.g., for derivatives or equation solving, allows a greater focus on the methodology of the optimization methods and not on standard procedures. The book also provides numerous examples, including some that can be solved using a graphical approach to help readers gain a better understanding of the computer implementation.
Variational Methods with Applications in Science and Engineering
Title | Variational Methods with Applications in Science and Engineering PDF eBook |
Author | Kevin W. Cassel |
Publisher | Cambridge University Press |
Pages | 433 |
Release | 2013-07-22 |
Genre | Mathematics |
ISBN | 1107022584 |
This book reflects the strong connection between calculus of variations and the applications for which variational methods form the foundation.