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Author: Dongming Wang Publisher: Springer Science & Business Media ISBN: 3764374292 Category : Mathematics Languages : en Pages : 374
Book Description
This book presents the state-of-the-art in tackling differential equations using advanced methods and software tools of symbolic computation. It focuses on the symbolic-computational aspects of three kinds of fundamental problems in differential equations: transforming the equations, solving the equations, and studying the structure and properties of their solutions.
Author: Dongming Wang Publisher: Springer Science & Business Media ISBN: 3764374292 Category : Mathematics Languages : en Pages : 374
Book Description
This book presents the state-of-the-art in tackling differential equations using advanced methods and software tools of symbolic computation. It focuses on the symbolic-computational aspects of three kinds of fundamental problems in differential equations: transforming the equations, solving the equations, and studying the structure and properties of their solutions.
Author: Robert M. Corless Publisher: Springer Nature ISBN: 3030816982 Category : Computers Languages : en Pages : 474
Book Description
This book constitutes refereed proceedings of the 4th Maple Conference, MC 2020, held in Waterloo, Ontario, Canada, in November 2020. The 25 revised full papers and 3 short papers were carefully reviewed and selected out of 75 submissions, one invited paper is also presented in the volume. The papers included in this book cover topics in education, algorithms, and applciations of the mathematical software Maple.
Author: Pieter Eykhoff Publisher: Elsevier ISBN: 1483148661 Category : Mathematics Languages : en Pages : 419
Book Description
Trends and Progress in System Identification is a three-part book that focuses on model considerations, identification methods, and experimental conditions involved in system identification. Organized into 10 chapters, this book begins with a discussion of model method in system identification, citing four examples differing on the nature of the models involved, the nature of the fields, and their goals. Subsequent chapters describe the most important aspects of model theory; the ""classical"" methods and time series estimation; application of least squares and related techniques for the estimation of dynamic system parameters; the maximum likelihood and error prediction methods; and the modern development of statistical methods. Non-parametric approaches, identification of nonlinear systems by piecewise approximation, and the minimax identification are then explained. Other chapters explore the Bayesian approach to system identification; choice of input signals; and choice and effect of different feedback configurations in system identification. This book will be useful for control engineers, system scientists, biologists, and members of other disciplines dealing withdynamical relations.
Author: Dongming Wang
Author: Dongming Wang
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Author: Robert M. Corless
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Author: Pieter Eykhoff
Author: V. Capasso (Ed)
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Author: Simo Särkkä