Fundamentals of Optimization Techniques with Algorithms

ISBN-13: 9780128211267 / Angielski / Miękka / 2020 / 300 str.

Sukanta Nayak

Spis treści

1. Introduction to optimization2. Linear programming3. Single-variable nonlinear optimization4. Multivariable unconstrained nonlinear optimization5. Multivariable constrained nonlinear optimization6. Geometric programming7. Dynamic programming8. Integer programming9. Multiobjective optimization10. Nature-inspired optimization

O autorze

Dr Sukanta Nayak is Assistant Professor in the Department of Mathematics, at the Amrita School of Engineering in Coimbatore, India. He previously held a postdoctoral research fellowship at the University of Johannesburg, South Africa, and received his Ph.D. in mathematics from the National Institute of Technology Rourkela, in India. His research interests include numerical analysis, linear algebra, fuzzy finite element method, fuzzy heat, neutron diffusion equations, fuzzy stochastic differential equations and wavelet analysis. He has published widely in the field, including as co-author of a book entitled Interval Finite Element Method with MATLAB, for Elsevier's Academic Press (2018).