Mathematical Modelling in Real Life Problems: Case Studies from Ecmi-Modelling Weeks, Lindner Ewald, Micheletti Alessandra, Nunes Clбudia

Автор: Strang Gilbert
Название: Linear Algebra and Learning from Data
ISBN: 0692196382 ISBN-13(EAN): 9780692196380
Издательство: Cambridge Academ
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Цена: 66520.00 T
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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
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Цена: 79200.00 T
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: 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: 123910.00 T
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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.

Автор: Dingyu Xue
Название: Solving Optimization Problems with MATLAB
ISBN: 3110663643 ISBN-13(EAN): 9783110663648
Издательство: Walter de Gruyter
Цена: 74320.00 T
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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: Greg Conradi Smith
Название: Cellular Biophysics and Modeling: A Primer on the Computational Biology of Excitable Cells
ISBN: 1107005361 ISBN-13(EAN): 9781107005365
Издательство: Cambridge Academ
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Цена: 100310.00 T
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Описание: What every neuroscientist should know about the mathematical modeling of excitable cells. Combining empirical physiology and nonlinear dynamics, this text provides an introduction to the simulation and modeling of dynamic phenomena in cell biology and neuroscience. It introduces mathematical modeling techniques alongside cellular electrophysiology. Topics include membrane transport and diffusion, the biophysics of excitable membranes, the gating of voltage and ligand-gated ion channels, intracellular calcium signalling, and electrical bursting in neurons and other excitable cell types. It introduces mathematical modeling techniques such as ordinary differential equations, phase plane, and bifurcation analysis of single-compartment neuron models. With analytical and computational problem sets, this book is suitable for life sciences majors, in biology to neuroscience, with one year of calculus, as well as graduate students looking for a primer on membrane excitability and calcium signalling.

Название: Mathematical modeling of real world problems: interdisciplinary studies in applied mathematics
ISBN: 1536162671 ISBN-13(EAN): 9781536162677
Издательство: Nova Science
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Цена: 215410.00 T
Наличие на складе: Невозможна поставка.
Описание: Data mining provides avenues for proper understanding of real world problems. For researchers interested in data mining and new applications, this book is a multidisciplinary handbook in data processes, engineering and medical applications. The authors from the different parts of the world discuss major issues of importance for integrated mathematical implementation and developing experiences. From the general spectrum, the individual spectra can be allowing for separate detection and monitoring of the problem by decomposing the space and time series into signal and noise components. It provides an up-front review of mathematical modeling of real world problems and interdisciplinary studies in applied mathematics that are not only for scientists, engineers, planners or, social scientists but because also everyone can read and understand the real world problems from environment to medicine and their interaction to mathematical implementation. Mathematical studies of the book are aimed to analyze and visualize real world problems in engineering and environmental studies like drought survey, precipitation and erosivity, cloud clarification, estimation of convection scheme and non-linear time series of air pollution, water management, water quality and river pollution and also in medical sciences like, ECG analyses, neurosurgery, computational neuroscience, brain disasters, Parkinson diseases, support vector machine, logic and mathematics. Authors recommend it to researchers with an interest in interaction of social, environmental, agricultural and medical scientists, engineers and planners who are applying wavelets and applied mathematics in their research. The book was edited by Prof. Dr. Zafer ASLAN Istanbul Aydın University, Assoc. Prof. Dr. Funda DOKMEN Kocaeli University, Prof. Dr. Abul Hasan SIDDIQI Sharda University and Prof. Dr. Enrico FEOLI University of Trieste.

Автор: Johnathan M. Bardsley
Название: Computational Uncertainty Quantification for Inverse Problems
ISBN: 1611975379 ISBN-13(EAN): 9781611975376
Издательство: Mare Nostrum (Eurospan)
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Цена: 53090.00 T
Наличие на складе: Невозможна поставка.
Описание: This book is an introduction to both computational inverse problems and uncertainty quantification (UQ) for inverse problems. The book also presents more advanced material on Bayesian methods and UQ, including Markov chain Monte Carlo sampling methods for UQ in inverse problems. Each chapter contains MATLAB® code that implements the algorithms and generates the figures, as well as a large number of exercises accessible to both graduate students and researchers. Computational Uncertainty Quantification for Inverse Problems is intended for graduate students, researchers, and applied scientists. It is appropriate for courses on computational inverse problems, Bayesian methods for inverse problems, and UQ methods for inverse problems.

Автор: Sahrling, Mikael,
Название: Fast techniques for integrated circuit design /
ISBN: 1108498450 ISBN-13(EAN): 9781108498456
Издательство: Cambridge Academ
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Цена: 102430.00 T
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Описание: Learn how to use estimation techniques to solve integrated circuit (IC) design problems, accelerate the design process, and enhance understanding of complex systems with this step-by-step guide. Using numerous real-world application examples, it is ideal for both early-career and established professionals and researchers, and graduate students, working in IC design.

Автор: Peregrina Quintela; Patricia Barral; Dolores G?mez
Название: Progress in Industrial Mathematics at ECMI 2016
ISBN: 3030096858 ISBN-13(EAN): 9783030096854
Издательство: Springer
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Цена: 186330.00 T
Наличие на складе: Поставка под заказ.

Автор: Faragу Istvбn, Izsбk Ferenc, Simon Pйter L.
Название: Progress in Industrial Mathematics at Ecmi 2018
ISBN: 3030275523 ISBN-13(EAN): 9783030275525
Издательство: Springer
Цена: 121110.00 T
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Описание: PART I: Modeling of industrial processes.- PART II: Biological and medical models and applications.- PART III: Novel numerical methods for industrial mathematics.- PART IV: Optimization and control of industrial problems.- PART V: Processing and using measurements data in industrial problems.- Author index.

Автор: Peregrina Quintela; Patricia Barral; Dolores G?mez
Название: Progress in Industrial Mathematics at ECMI 2016
ISBN: 3319630814 ISBN-13(EAN): 9783319630816
Издательство: Springer
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Цена: 214280.00 T
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Описание: Preface.- Part I: Plenary Lectures.- Part II. Hansjцrg Wacker Memorial Prize.- Part III: Minisymposia.- Part IV: Contributed Talks.

Автор: Selcuk S. Bayin
Название: Essentials of Mathematical Methods in Science and Engineering
ISBN: 1119580242 ISBN-13(EAN): 9781119580249
Издательство: Wiley
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Цена: 138280.00 T
Наличие на складе: Поставка под заказ.
Описание: A comprehensive introduction to the multidisciplinary applications of mathematical methods, revised and updated The second edition of Essentials of Mathematical Methods in Science and Engineering offers an introduction to the key mathematical concepts of advanced calculus, differential equations, complex analysis, and introductory mathematical physics for students in engineering and physics research. The book's approachable style is designed in a modular format with each chapter covering a subject thoroughly and thus can be read independently. This updated second edition includes two new and extensive chapters that cover practical linear algebra and applications of linear algebra as well as a computer file that includes Matlab codes.

To enhance understanding of the material presented, the text contains a collection of exercises at the end of each chapter. The author offers a coherent treatment of the topics with a style that makes the essential mathematical skills easily accessible to a multidisciplinary audience. This important text: - Includes derivations with sufficient detail so that the reader can follow them without searching for results in other parts of the book - Puts the emphasis on the analytic techniques - Contains two new chapters that explore linear algebra and its applications - Includes Matlab codes that the readers can use to practice with the methods introduced in the book Written for students in science and engineering, this new edition of Essentials of Mathematical Methods in Science and Engineering maintains all the successful features of the first edition and includes new information.