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In this book, we study theoretical and practical aspects of computing methods for mathematical modelling of nonlinear systems. A number;
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Adaptive Learning Methods for Nonlinear System Modeling presents some of the recent advances on adaptive algorithms and machine learning;
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Computational Methods for Nonlinear Dynamical Systems: Theory and Applications in Aerospace Engineering proposes novel ideas and;
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neural networks, this innovative volume provides a framework for control and modeling of uncertain nonlinear systems with applications to;
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breakthroughs, the chapters in the book focus on theoretical, experimental and computational aspects of recent advances in nonlinear science intertwined;
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computational techniques for modeling dynamic systems. Written to be both rigorous and engaging, the book shows how sound understanding of the;
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Computational modeling is emerging as a powerful new approach to study and manipulate biological systems. Multiple methods have been;
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This book presents the theoretical details and computational performances of algorithms used for solving continuous nonlinear optimization;
Vergelijkbare producten zoals Continuous Nonlinear Optimization for Engineering Applications in GAMS Technolog
This book presents the theoretical details and computational performances of algorithms used for solving continuous nonlinear optimization;
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Explains the relationship of electrophysiology, nonlinear dynamics, and the computational properties of neurons, with each concept;
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describes basic control concepts and the use of nonlinear control theory. After exploring stabilization strategies for nonlinear systems, the author;
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describes basic control concepts and the use of nonlinear control theory. After exploring stabilization strategies for nonlinear systems, the author;
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diseases, with a focus on providing readers a roadmap for integrating advanced mathematical and computational techniques with traditional;
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engineering systems have become more complex, classic linear methods of modeling and analysis have proved inadequate, creating a need for nonlinear;
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; frameworks for model verification, validation, analysis, and simulation of biological systems; high-performance computational systems biology and;
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submissions. Topics of interest include formalisms for modeling biological processes; models and their biological applications; frameworks for model;
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vehicle systems. Railroad Vehicle Dynamics: A Computational Approach is a valuable reference for researchers and practicing engineers who;
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by introducing the basic mathematical, statistical, and data mining principles of computational systems biology, and then presents;
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databases; multi-scale modeling and analysis methods; and computational approaches for synthetic biology.;
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by, and for, those working in the interdisciplinary fields that comprise nanotechnology-including engineering, physics, chemistry, biology;
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by, and for, those working in the interdisciplinary fields that comprise nanotechnology-including engineering, physics, chemistry, biology;
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revival of interest in nonlinear dynamics. Applied Nonlinear Dynamics provides a coherent and unified treatment of analytical, computational, and;
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Linear and Nonlinear modeling of Fuel Cell Dynamics. Typical approaches of Linear and Nonlinear Modeling and Control Design methods for Fuel;
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Linear and Nonlinear modeling of Fuel Cell Dynamics. Typical approaches of Linear and Nonlinear Modeling and Control Design methods for Fuel;
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Due to the increase in computational power and new discoveries in propagation phenomena for linear and nonlinear waves, the area;
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Due to the increase in computational power and new discoveries in propagation phenomena for linear and nonlinear waves, the area;
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application to mechanical systems, and its computational implementation. Harmonic Balance is an approximation method for the computation of periodic;
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