Mathematical Modelling and Optimization of Engineering Problems, Jose? Anto?nio Tenreiro Machado
Автор: Strang Gilbert Название: Linear Algebra and Learning from Data ISBN: 0692196382 ISBN-13(EAN): 9780692196380 Издательство: Cambridge Academ Рейтинг: Цена: 9978.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Linear algebra and the foundations of deep learning, together at last! From Professor Gilbert Strang, acclaimed author of Introduction to Linear Algebra, comes Linear Algebra and Learning from Data, the first textbook that teaches linear algebra together with deep learning and neural nets. This readable yet rigorous textbook contains a complete course in the linear algebra and related mathematics that students need to know to get to grips with learning from data. Included are: the four fundamental subspaces, singular value decompositions, special matrices, large matrix computation techniques, compressed sensing, probability and statistics, optimization, the architecture of neural nets, stochastic gradient descent and backpropagation.
Автор: Helms, Volkhard Название: Principles of Computational Cell Biology ISBN: 3527333584 ISBN-13(EAN): 9783527333585 Издательство: Wiley Рейтинг: Цена: 11880.00 р. Наличие на складе: Поставка под заказ.
Описание: This successful text, now in its 2nd ed. , provides an ideal introduction into the possibilities of modeling on a cell biology level. It extends the strengths of the first edition even further while keeping faithful to the trusted hands-on concept and keeping math to the minimum.
Автор: Anthony, M, , Biggs N. Название: Mathematics for economics and finance: methods and modelling ISBN: 0521559138 ISBN-13(EAN): 9780521559133 Издательство: Cambridge Academ Рейтинг: Цена: 7126.00 р. Наличие на складе: Поставка под заказ.
Описание: An introduction to mathematical modelling in economics and finance for students of both economics and mathematics. Throughout, the stress is firmly on how the mathematics relates to economics, illustrated with copious examples and exercises that will foster depth of understanding.
Автор: Dingyu Xue Название: Solving Optimization Problems with MATLAB ISBN: 3110663643 ISBN-13(EAN): 9783110663648 Издательство: Walter de Gruyter Цена: 11148.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This book focuses on solving optimization problems with MATLAB. Descriptions and solutions of nonlinear equations of any form are studied first. Focuses are made on the solutions of various types of optimization problems, including unconstrained and constrained optimizations, mixed integer, multiobjective and dynamic programming problems. Comparative studies and conclusions on intelligent global solvers are also provided.
Автор: Powers, Joseph M. (University of Notre Dame, Indiana) Sen, Mihir (University of Notre Dame, Indiana) Название: Mathematical Methods in Engineering ISBN: 1107037042 ISBN-13(EAN): 9781107037045 Издательство: Cambridge Academ Рейтинг: Цена: 10138.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is designed for engineering graduate students. It connects mathematics to a variety of methods used for engineering problems by walking the reader stepwise through examples that have been worked in detail, followed by numerous homework problems to reinforce learning and connect the subject matter to engineering applications.
Описание: Reports the Linear Parameter Varying (LPV) system identification. This book contains twelve chapters, focusing on the LPV identification methods for both discrete-time and continuous-time models, using different approaches such as optimization methods for input/output LPV models Identification, set membership methods, and more.
oadly speaking, there are two general approaches to teaching mathematical modeling: 1) the case study approach, and 2) the method based approach (that teaches mathematical techniques with applications to relevant mathematical models). This text emphasizes instead the scientific issues for modeling different phenomena. For the natural or harvested growth of a fish population, we may be interested in the evolution of the population, whether it reaches a steady state (equilibrium or cycle), stable or unstable with respect to a small perturbation from equilibrium, or whether a small change in the environment would cause a catastrophic change, etc. Each scientific issue requires an appropriate model and a different set of mathematical tools to extract information from the model. Models examined are chosen to help explain or justify empirical observations such as cocktail drug treatments are more effective and regenerations after injuries or illness are fast-tracked (compared to original developments).
Volume I of this three-volume set limits its scope to phenomena and scientific issues that are modeled by ordinary differential equations (ODE). Scientific issues such as signal and wave propagation, diffusion, and shock formation involving spatial dynamics to be modeled by partial differential equations (PDE) will be treated in Vol. II. Scientific issues involving randomness and uncertainty are examined in Vol. III.
oadly speaking, there are two general approaches to teaching mathematical modeling: 1) the case study approach, and 2) the method based approach (that teaches mathematical techniques with applications to relevant mathematical models). This text emphasizes instead the scientific issues for modeling different phenomena. For the natural or harvested growth of a fish population, we may be interested in the evolution of the population, whether it reaches a steady state (equilibrium or cycle), stable or unstable with respect to a small perturbation from equilibrium, or whether a small change in the environment would cause a catastrophic change, etc. Each scientific issue requires an appropriate model and a different set of mathematical tools to extract information from the model. Models examined are chosen to help explain or justify empirical observations such as cocktail drug treatments are more effective and regenerations after injuries or illness are fast-tracked (compared to original developments).
Volume I of this three-volume set limits its scope to phenomena and scientific issues that are modeled by ordinary differential equations (ODE). Scientific issues such as signal and wave propagation, diffusion, and shock formation involving spatial dynamics to be modeled by partial differential equations (PDE) will be treated in Vol. II. Scientific issues involving randomness and uncertainty are examined in Vol. III.
Considerable research on the advances in Dye Sensitized Solar Cells has been carried out in recent years, this is the first reference to put those advances in perspective and show how the solar cell industry can benefit. Dye Sensitized Solar Cell Mathematical Modelling, Optimization and Design is an edited volume from leaders in the field, covering advances in DSSC design and fabrication, mathematical modelling and optimization. It provides a comprehensive coverage of various DSSC advances with modelling including different system scales from electronic to the macroscopic level, consolidating results along with the fundamentals, and presents them in a systematic way.
The book is useful for graduate students and researchers as a monograph and as a reference for state-of-the-art techniques in modelling, optimization and design of DSSCs.
Includes chapter contributions by Worldwide leaders in the field
Offers first-principles of modelling solar cells with different system scales from electronic to the macroscopic level
Refers to state-of-the-art techniques in modelling, optimization and design of DSSC all in one text
Автор: Federico Milano, Alvaro Ortega Manjavacas Название: Inverter-based Energy Storage Systems ISBN: 1108421067 ISBN-13(EAN): 9781108421065 Издательство: Cambridge Academ Рейтинг: Цена: 16790.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Providing comprehensive and in-depth coverage of the modelling, dynamic behaviour, control, and stability analysis of converter-interfaced energy storage systems, this is the perfect text for graduate students, researchers, and industry professionals working in power system dynamics, renewable energy integration, and smart grid development.
Описание: Engineering systems operate through actuators, most of which will exhibit phenomena such as saturation or zones of no operation, commonly known as dead zones. These are examples of piecewise-affine characteristics, and they can have a considerable impact on the stability and performance of engineering systems. This book targets controller design for piecewise affine systems, fulfilling both stability and performance requirements.The authors present a unified computational methodology for the analysis and synthesis of piecewise affine controllers, taking an approach that is capable of handling sliding modes, sampled-data, and networked systems. They introduce algorithms that will be applicable to nonlinear systems approximated by piecewise affine systems, and they feature several examples from areas such as switching electronic circuits, autonomous vehicles, neural networks, and aerospace applications.Piecewise Affine Control: Continuous-Time, Sampled-Data, and Networked Systems is intended for graduate students, advanced senior undergraduate students, and researchers in academia and industry. It is also appropriate for engineers working on applications where switched linear and affine models are important.
Автор: Nikolay V. Banichuk, Svetlana Yu. Ivanova Название: Optimal Structural Design: Contact Problems and High-Speed Penetration ISBN: 3110530805 ISBN-13(EAN): 9783110530803 Издательство: Walter de Gruyter Цена: 18586.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This monograph studies optimization problems for rigid punches in elastic media and for high-speed penetration of rigid strikers into deformed elastoplastic, concrete, and composite media using variational calculations, tools from functional analysis, and stochastic and min-max (guaranteed) optimization approaches with incomplete data. The book presents analytical and numerical results developed by the authors during the last ten years.
Contents Part I: Quasi-statics of contact interaction Optimal contact pressure and optimal punch shape Influence of forces applied outside contact region Shape optimization of punch moving with friction Optimization in contact problems under incomplete data Application of probabilistic data Minimization of material wear Multiobjective optimization of contact pressure, wear of material, and energy dissipation
Part II: High-speed penetration into deformable medium Optimization of impactor shape Strikers of nonaxisymmetric optimal shape Multiobjective optimization of rigid shell Optimization of truncated rotating strikers Penetration into solid medium under strength constraints Some problems of global multipurpose structural optimization Analytical and numerical estimations of optimal parameters of layered slab Striker shape optimization using condition of minimal ballistic limit velocity for layered slabs
Part III: Appendices Nonadditive functionals and extremum conditions Multivariant estimation of functionals and their sensitivity Basic ideas of multicriteria optimization Evolutionary algorithm of global optimization
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