Advances in Mathematical Modeling and Scientific Computing
Title | Advances in Mathematical Modeling and Scientific Computing PDF eBook |
Author | Firuz Kamalov |
Publisher | Springer Nature |
Pages | 933 |
Release | 2023 |
Genre | Computer science |
ISBN | 3031414209 |
This volume collects the proceedings of the International Conference on Recent Developments in Mathematics (ICRDM), held at Canadian University Dubai, UAE, in August 2022. This is the second of two volumes, with this volume focusing on more applied topics, particularly mathematical modeling and scientific computing, and the first covering recent advances in algebra and analysis. Each chapter identifies existing research problems, the techniques needed to solve them, and a thorough analysis of the obtained results. Advances in Mathematical Modeling and Scientific Computing will appeal to a range of postgraduate students, researchers, and industry professionals interested in exploring recent advancements in applied mathematics.
Mathematical Modeling and Computation of Real-Time Problems
Title | Mathematical Modeling and Computation of Real-Time Problems PDF eBook |
Author | Rakhee Kulshrestha |
Publisher | CRC Press |
Pages | 172 |
Release | 2021-01-04 |
Genre | Mathematics |
ISBN | 1000288676 |
This book covers an interdisciplinary approach for understanding mathematical modeling by offering a collection of models, solved problems related to the models, the methodologies employed, and the results using projects and case studies with insight into the operation of substantial real-time systems. The book covers a broad scope in the areas of statistical science, probability, stochastic processes, fluid dynamics, supply chain, optimization, and applications. It discusses advanced topics and the latest research findings, uses an interdisciplinary approach for real-time systems, offers a platform for integrated research, and identifies the gaps in the field for further research. The book is for researchers, students, and teachers that share a goal of learning advanced topics and the latest research in mathematical modeling.
Scientific Computing with Case Studies
Title | Scientific Computing with Case Studies PDF eBook |
Author | Dianne P. O'Leary |
Publisher | SIAM |
Pages | 376 |
Release | 2009-03-19 |
Genre | Mathematics |
ISBN | 0898716667 |
This book is a practical guide to the numerical solution of linear and nonlinear equations, differential equations, optimization problems, and eigenvalue problems. It treats standard problems and introduces important variants such as sparse systems, differential-algebraic equations, constrained optimization, Monte Carlo simulations, and parametric studies. Stability and error analysis are emphasized, and the Matlab algorithms are grounded in sound principles of software design and understanding of machine arithmetic and memory management. Nineteen case studies provide experience in mathematical modeling and algorithm design, motivated by problems in physics, engineering, epidemiology, chemistry, and biology. The topics included go well beyond the standard first-course syllabus, introducing important problems such as differential-algebraic equations and conic optimization problems, and important solution techniques such as continuation methods. The case studies cover a wide variety of fascinating applications, from modeling the spread of an epidemic to determining truss configurations.
An Introduction to Mathematical Modeling
Title | An Introduction to Mathematical Modeling PDF eBook |
Author | Edward A. Bender |
Publisher | Courier Corporation |
Pages | 274 |
Release | 2000-03-06 |
Genre | Mathematics |
ISBN | 9780486411804 |
Accessible text features over 100 reality-based examples pulled from the science, engineering and operations research fields. Prerequisites: ordinary differential equations, continuous probability. Numerous references. Includes 27 black-and-white figures. 1978 edition.
Introduction to Mathematical Modeling and Computer Simulations
Title | Introduction to Mathematical Modeling and Computer Simulations PDF eBook |
Author | Vladimir Mityushev |
Publisher | CRC Press |
Pages | 202 |
Release | 2018-02-19 |
Genre | Mathematics |
ISBN | 1351998757 |
Introduction to Mathematical Modeling and Computer Simulations is written as a textbook for readers who want to understand the main principles of Modeling and Simulations in settings that are important for the applications, without using the profound mathematical tools required by most advanced texts. It can be particularly useful for applied mathematicians and engineers who are just beginning their careers. The goal of this book is to outline Mathematical Modeling using simple mathematical descriptions, making it accessible for first- and second-year students.
Data-Driven Modeling & Scientific Computation
Title | Data-Driven Modeling & Scientific Computation PDF eBook |
Author | Jose Nathan Kutz |
Publisher | |
Pages | 657 |
Release | 2013-08-08 |
Genre | Computers |
ISBN | 0199660336 |
Combining scientific computing methods and algorithms with modern data analysis techniques, including basic applications of compressive sensing and machine learning, this book develops techniques that allow for the integration of the dynamics of complex systems and big data. MATLAB is used throughout for mathematical solution strategies.
Data-Driven Science and Engineering
Title | Data-Driven Science and Engineering PDF eBook |
Author | Steven L. Brunton |
Publisher | Cambridge University Press |
Pages | 615 |
Release | 2022-05-05 |
Genre | Computers |
ISBN | 1009098489 |
A textbook covering data-science and machine learning methods for modelling and control in engineering and science, with Python and MATLAB®.