Among numerical methods applied in acoustics, the Finite Element Method (FEM) is normally favored for interior problems whereas the Boundary Element Method (BEM) is quite popular for exterior ones.
"e;Number Theory in Science and Communication"e; is a well-known introduction for non-mathematicians to this fascinating and useful branch of applied mathematics .
This book has come into being as a result ofthe author's lectures on mathematical modelling rendered to the students, BS and MS degree holders specializing in applied mathematics and computer science and to post-graduate students in exact sciences of the Nizhny Novgorod State University after N.
The monograph text is based on lectures delivered by author during many years for students of Applied Iechanics Department of Bauman Ioscow State Technical University.
Computational mechanics, as a science employed for the numerical model- ing of processes in nature and engineering, has over the last few decades developed two strands.
New ideas on the mathematical foundations of quantum mechanics, related to the theory of quantum measurement, as well as the emergence of quantum optics, quantum electronics and optical communications have shown that the statistical structure of quantum mechanics deserves special investigation.
The idea of soft computing emerged in the early 1990s from the fuzzy systems c- munity, and refers to an understanding that the uncertainty, imprecision and ig- rance present in a problem should be explicitly represented and possibly even - ploited rather than either eliminated or ignored in computations.
Ideal for college students in intermediate finance courses, this book uniquely applies mathematical formulas to teach the underpinnings of financial and lending decisions, covering common applications in real estate, capital budgeting, and commercial loans.
COMMENDED: Business Book Awards 2018 - Thought Leader CategoryToday, businesses of all sizes generate a great deal of creative graphic media and content, including websites, presentations, videos and social media posts.
Assuming no prior mathematical knowledge, this approachable and straightforward text covers the essential mathematical skills needed by business and management students at undergraduate and MBA level.
An introduction to decision making under uncertainty from a computational perspective, covering both theory and applications ranging from speech recognition to airborne collision avoidance.
Most of the interesting and difficult problems in statistical mechanics arise when the constituent particles of the system interact with each other with pair or multi particle energies.
Petri Nets were introduced and still successfully used to analyze and model discrete event systems especially in engineering and computer sciences such as in automatic control.
Dealing with all aspects of risk management that have undergone significant innovation in recent years, this book aims at being a reference work in its field.
Ideal for college students in intermediate finance courses, this book uniquely applies mathematical formulas to teach the underpinnings of financial and lending decisions, covering common applications in real estate, capital budgeting, and commercial loans.
Assuming no prior mathematical knowledge, this approachable and straightforward text covers the essential mathematical skills needed by business and management students at undergraduate and MBA level.
From the author of The Music of the Primes and Finding Moonshine comes a short, lively book on five mathematical problems that just refuse be solved - and on how many everyday problems can be solved by maths.
An introduction to decision making under uncertainty from a computational perspective, covering both theory and applications ranging from speech recognition to airborne collision avoidance.
COMMENDED: Business Book Awards 2018 - Thought Leader CategoryToday, businesses of all sizes generate a great deal of creative graphic media and content, including websites, presentations, videos and social media posts.
Quantitative Biology provides quantitative and data-driven approaches for analyzing biological and bio-inspired systems, covering the foundations of mathematical modeling, analysis, and computation.