Philosophy of Geometry
Zekâi Sen(Author)
Cambridge Scholars Publishing
1st Edition
Published on 16. September 2025
Book
Paperback/Softback
366 pages
978-1-0364-5877-5 (ISBN)
Description
This book enriches the mind of the read regarding the topics covered, provided that the given guidelines are followed systematically, by conveying a deep understanding of each topic concerning the elegance of geometry as the fundamental cornerstone for visualization. Rational deductive inferences are used to express doubt about assumed knowledge, providing a path to linguistically innovative solutions, which can be then transformed into mathematical equations, if necessary. The whole text is based on geometric visualization, deducted linguistically so that anyone interested in the numerical results of aesthetic design can broaden their scope of understanding. Each chapter in the book is a source of dynamic information for the interested reader. The chapters are not intended to be read in sequential order, because each is written quite independently from the others. Only closely related chapters are tied with each other.
More details
Language
English
ISBN-13
978-1-0364-5877-5 (9781036458775)
Schweitzer Classification
Other editions
Additional editions
Zekai Sen
Philosophy of Geometry
Book
12/2024
Cambridge Scholars Publishing
€123.29
Shipment within 15-20 days
Person
Author
Zekâi Sen obtained his BSc and MSc Degrees from the Department of Reinforced Concrete, Civil Engineering Faculty, Istanbul Technical University (ITU), Turkey (1971). His further post-graduate studies were carried out at the University of London, Imperial College of Science and Technology, UK. He was granted a Diploma of Imperial College (DIC) and a MSc in Engineering Hydrology in 1972 and a PhD in stochastic hydrology in 1974 from the University of London. His main research interests are climate change and impact on water resources; mathematical modeling fundamentals; science philosophy; mathematical statistics; stochastic processes; chaotic behaviors; fractal geometry; fuzzy logic; genetic algorithms; artificial neural network; risk management; and deep learning.