EACM is a comprehensive reference work covering the vast field of applied and computational mathematics. Applied mathematics itself accounts for at least 60 per cent of mathematics, and the emphasis on computation reflects the current and constantly growing importance of computational methods in all areas of applications. EACM emphasizes the strong links of applied mathematics with major areas of science, such as physics, chemistry, biology, and computer science, as well as specific fields like atmospheric ocean science. In addition, the mathematical input to modern engineering and technology form another core component of EACM.
EACM is a comprehensive reference work covering the vast field of applied and computational mathematics. Applied mathematics itself accounts for at least 60 per cent of mathematics, and the emphasis on computation reflects the current and constantly growing importance of computational methods in all areas of applications. EACM emphasizes the strong links of applied mathematics with major areas of science, such as physics, chemistry, biology, and computer science, as well as specific fields like atmospheric ocean science. In addition, the mathematical input to modern engineering and technology form another core component of EACM.
Leads the field of applied mathematics with comprehensive coverage
Emphasizes the strong links of applied mathematics with major areas of science
Provides a working tool for all types of mathematicians, scientists and engineers
Björn Engquist
Climate, Atmosphere and Ocean Science Computational Mechanics Computational partial differential equations Computer science, discrete mathematics Inverse problems Math. & computational methods in bioscience & medicine Numerical analysis Numerical ordinary differential equations Scientific computing applied mathematics computational biology computational chemistry computational mathematics computational physics computational science and engineering
“Encyclopedia of applied and computational mathematics (EACM) is a comprehensive reference work covering the vast field of applied and computational mathematics. … this is a fantastic book and a great boon to researchers in mathematics and those who want to apply the principles to other cross-sectional areas.” (Naga Narayanaswamy, Computing Reviews, November, 2017)
“This is a very comprehensive textbook on applied & computational mathematics. … There is no doubt this book will serve students, research fellows, professors, and advanced mathematicians very well. It is a good reference also for researchers interested in bioinformatics, health informatics, and neuroinformatics. Neural network and coding principles are detailed and helpful for reference and consulting purposes.” (Joseph J. Grenier, Amazon.com, March, 2016)