2013 - Fellow of the American Mathematical Society
The Mathematical analysis research Jim M. Cushing does as part of his general Attractor study is frequently linked to other disciplines of science, such as Statistical physics, therefore creating a link between diverse domains of science. Mathematical analysis and Attractor are frequently intertwined in his study. He integrates Statistical physics with Thermodynamics in his research. He brings together Thermodynamics and Volume (thermodynamics) to produce work in his papers. His Mathematical economics study integrates concerns from other disciplines, such as Machine learning, Stability (learning theory) and Population, Demography. Jim M. Cushing performs multidisciplinary studies into Machine learning and Stability (learning theory) in his work. Much of his study explores Population relationship to Population model. Jim M. Cushing regularly links together related areas like Population model in his Demography studies. Jim M. Cushing is researching Predation as part of the investigation of Predator and Cannibalism.
Among his Ecology studies, you can observe a synthesis of other disciplines of science such as Competition (biology) and Predation. Jim M. Cushing carries out multidisciplinary research, doing studies in Predation and Ecology. His study on Population is mostly dedicated to connecting different topics, such as Population model. Population model and Population are commonly linked in his work. In his research, he performs multidisciplinary study on Demography and Statistics. Jim M. Cushing connects Statistics with Demography in his study. In his works, he undertakes multidisciplinary study on Applied mathematics and Mathematical analysis. He incorporates Mathematical analysis and Applied mathematics in his studies. In his work, he performs multidisciplinary research in Quantum mechanics and Statistical physics.
His research investigates the connection between Chromatography and topics such as Matrix (chemical analysis) that intersect with issues in Composite material. As part of his studies on Composite material, Jim M. Cushing often connects relevant areas like Matrix (chemical analysis). Cannibalism and Population cycle are the subject areas of his Predation study. His research on Population cycle often connects related topics like Population. His Population study frequently intersects with other fields, such as Leslie matrix. Jim M. Cushing undertakes multidisciplinary investigations into Leslie matrix and Density dependence in his work. He integrates Density dependence and Population growth in his studies. Jim M. Cushing connects Demography with Population growth in his research. Many of his studies on Mathematical economics apply to Evolutionarily stable strategy as well.
His Population study frequently draws connections to other fields, such as Basic reproduction number. His work often combines Demography and Leslie matrix studies. Jim M. Cushing connects Leslie matrix with Demography in his research. Jim M. Cushing performs multidisciplinary studies into Quantum mechanics and Statistical physics in his work. In his research, he performs multidisciplinary study on Statistical physics and Quantum mechanics. His studies link Population with Allee effect. In his work, he performs multidisciplinary research in Stability (learning theory) and Machine learning. Jim M. Cushing carries out multidisciplinary research, doing studies in Machine learning and Stability (learning theory). Bifurcation is closely attributed to Nonlinear system in his study.
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Integrodifferential Equations and Delay Models in Population Dynamics
Jim M. Cushing.
Determining important parameters in the spread of malaria through the sensitivity analysis of a mathematical model.
Nakul Chitnis;Nakul Chitnis;Nakul Chitnis;James M. Hyman;James M. Hyman;Jim M. Cushing.
Bulletin of Mathematical Biology (2008)
An introduction to structured population dynamics
J. M. Cushing.
Chaotic Dynamics in an Insect Population
Bifurcation Analysis of a Mathematical Model for Malaria Transmission
Nakul Chitnis;J. M. Cushing;James Mac Hyman.
Siam Journal on Applied Mathematics (2006)
Periodic Time-Dependent Predator-Prey Systems
J. M. Cushing.
Siam Journal on Applied Mathematics (1977)
Can noise induce chaos
Brian Dennis;Robert A. Desharnais;J. M. Cushing;Shandelle M. Henson.
Chaos in Ecology: Experimental Nonlinear Dynamics
NONLINEAR DEMOGRAPHIC DYNAMICS: MATHEMATICAL MODELS, STATISTICAL METHODS, AND BIOLOGICAL EXPERIMENTS'
Ecological Monographs (1995)
Experimentally induced transitions in the dynamic behaviour of insect populations
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