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Boekhandel Douwes Den Haag

SpringerBriefs in Optimization

Mathematical Foundations of Nature-Inspired Algorithms

Xin-She Yang & Xing-Shi He

Mathematical Foundations of Nature-Inspired Algorithms

SpringerBriefs in Optimization

Mathematical Foundations of Nature-Inspired Algorithms

SpringerBriefs in Optimization: Mathematical Foundations of Nature-Inspired Algorithms

 

This book presents a systematic approach to analyze nature-inspired algorithms. Beginning with an introduction to optimization methods and algorithms, this book moves on to provide a unified framework of mathematical analysis for convergence and stability.

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Beschrijving SpringerBriefs in Optimization: Mathematical Foundations of Nature-Inspired Algorithms

Specific nature-inspired algorithms include: swarm intelligence, ant colony optimization, particle swarm optimization, bee-inspired algorithms, bat algorithm, firefly algorithm, and cuckoo search.

ISBN
9783030169350
Pagina's
107
Verschenen
Serie
SpringerBriefs in Optimization
Rubriek
Exacte wetenschappen/natuurwetenschappen
Druk
1
Uitvoering
Paperback
Taal
Engels
Uitgever
Springer Nature Switzerland AG

Synthetic Sequences in Organic Chemistry

This book contains essential details from literature relevant to the synthesis of compounds on a milligram to kilogram scale. A number of the compounds that have eluded efficient preparation in the past are now presented, and material which will improve any chemist's existing synthetic methodology can be found here.

Synthetic Sequences in Organic Chemistry

This book contains essential details from literature relevant to the synthesis of compounds on a milligram to kilogram scale. A number of the compounds that have eluded efficient preparation in the past are now presented, and material which will improve any chemist's existing synthetic methodology can be found here.

Computational Problems for Physics

Fully revised, this second edition offers a large number of worked examples and problems with fully guided solutions in Python (as well as Mathematica, Java, C, Fortran, and Maple on the Web). A crucial resource for students beginning their study of computational physics with in-depth and engaging problems and exercises.

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