β Scribed by Snyman, Jan A.; Wilke, Daniel N
No coin nor oath required. For personal study only.
Mathematics.;Functions of real variables.;Algorithms.;Computer software.;Numerical analysis.;Mathematical optimization.;Operations research.;Management science.;Optimization.;Operations Research, Management Science.;Numerical Analysis.;Mathematical Software.;Real Functions.;Optimisation mathΓ©matique.;Programmation (mathΓ©matiques);Optimierung.
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<P>This book presents basic optimization principles and gradient-based algorithms to a general audience, in a brief and easy-to-read form. It enables professionals to apply optimization theory to engineering, physics, chemistry, or business economics.</P>
"This book presents basic optimization principles and gradient-based algorithms to a general audience, in a brief and easy-to-read form without neglecting rigour. The work should enable the professional to apply optimization theory and algorithms to his own particular practical field of interest, be
<P>This book presents basic optimization principles and gradient-based algorithms to a general audience in a brief and easy-to-read form, without neglecting rigor. The work should enable professionals to apply optimization theory and algorithms to their own particular practical fields of interest, b
Computational intelligence-based optimization methods, also known as metaheuristic optimization algorithms, are a popular topic in mathematical programming. These methods have bridged the gap between various approaches and created a new school of thought to solve real-world optimization problems.