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William E. Schiesser
Dr. William E. Schiesser is Emeritus McCann Professor of Chemical and Biomolecular Engineering, and Professor of Mathematics at Lehigh University. He holds a PhD from Princeton Uni...voir plusDr. William E. Schiesser is Emeritus McCann Professor of Chemical and Biomolecular Engineering, and Professor of Mathematics at Lehigh University. He holds a PhD from Princeton University and a ScD (hon) from the University of Mons, Belgium. His research is directed toward numerical methods and associated software for ordinary, differential-algebraic and partial differential equations (ODE/DAE/PDEs), and the development of mathematical models based on ODE/DAE/PDEs. He is the author or coauthor of more than 16 books, and his ODE/DAE/PDE computer routines have been accessed by some 5,000 colleges and universities, corporations and government agencies.voir moins
Livres par William E. Schiesser
Differential Equation Analysis in Biomedical Science and Engineering: Ordinary Differential Equation Applications with R Dynamic Modeling of Transport Process Systems Évaluation : 0 sur 5 étoiles0 évaluationThe Numerical Method of Lines: Integration of Partial Differential Equations Évaluation : 0 sur 5 étoiles0 évaluationODE/PDE Analysis of Antibiotic/Antimicrobial Resistance: Programming in R Évaluation : 0 sur 5 étoiles0 évaluationODE/PDE α-synuclein Models for Parkinson’s Disease Évaluation : 0 sur 5 étoiles0 évaluationSpline Collocation Methods for Partial Differential Equations: With Applications in R Évaluation : 0 sur 5 étoiles0 évaluationNumerical PDE Analysis of Retinal Neovascularization: Mathematical Model Computer Implementation in R Évaluation : 0 sur 5 étoiles0 évaluationMethod of Lines PDE Analysis in Biomedical Science and Engineering Évaluation : 0 sur 5 étoiles0 évaluationDifferential Equation Analysis in Biomedical Science and Engineering: Partial Differential Equation Applications with R Évaluation : 0 sur 5 étoiles0 évaluationModeling of Post-Myocardial Infarction: ODE/PDE Analysis with R Évaluation : 0 sur 5 étoiles0 évaluationSpatiotemporal Modeling of Stem Cell Differentiation: Partial Differentiation Equation Analysis in R Évaluation : 0 sur 5 étoiles0 évaluation