Comparison Methods and Stability Theory
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A Model for the Growth of the Subpopulation of Lawyers
A01=Xinzhi Liu
advanced stability methods for nonlinear systems
Asymptotic Stability
Author_Xinzhi Liu
Banach Space
boundary value problems
Category=PBKJ
Category=PBW
Comparison methods
Comparison of Even-Order Elliptic Equations
Dense
Dynamical Phase Diagram
Dynamical systems
ecological dynamics
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
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Free Boundary Problem
functional differential equations
Geometric Methods in Population Dynamics
Hopf Bifurcations
Impulsive Differential Equations
Impulsive Stabilization
Infinite Delay
IVP
Lyapunov Functions
mathematical modeling
Maximal Solution
Maximum Principle
Minimal Surface Equation
Monotone iterative techniques
neural network stability
Nonautonomous Systems
Nonisothermal Semiconductor Systems
nonlinear analysis
Omega Limit Set
Order Elliptic Operator
Ordinary Differential Equations
Periodic Orbit
Positive Solution
Reaction Diffusion Systems
Semiconductor equations
Stability theory
Trivial Solution
UAS
US
Vector Lyapunov Functions
Product details
- ISBN 9780824792701
- Weight: 680g
- Dimensions: 178 x 254mm
- Publication Date: 28 Jul 1994
- Publisher: Taylor & Francis Inc
- Publication City/Country: US
- Product Form: Paperback
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This work is based on the International Symposium on Comparison Methods and Stability Theory held in Waterloo, Ontario, Canada. It presents advances in comparison methods and stability theory in a wide range of nonlinear problems, covering a variety of topics such as ordinary, functional, impulsive, integro-, partial, and uncertain differential equations.
Xinzhi Liu is Associate Professor of Applied Mathematicsnat the Univerity of Waterloo, Ontario, Canada. The author or coauthor of over 60 professional papers and one monograph, Dr. Liu is a a member of the American Mathematical Soceity and thr Canadian Applied Mathematical Society. He received the B.Sc. degree (1982) in mathematics from Shandong Normal University, the People's Republic of China, and the M.sc.(1987) and Ph.D (1988) degrees in mathematical science from the University of Texas at Arlington. David Siegel is Associate Professor of Applied mathematics at the University of Waterloo, Ontario, Canada. The author or coauthor of over 20 professional papers, Dr. Siegel is a member of the American Mathematical Society and the Canadian Applied Mathematics Society. He received the B.A. degree(1973) in mathematics from the University of California, Los Angeles, and the M.S.(1976) and the Ph.D. (1978) degrees in mathematics from Stanford University, California.
