Mathematical Methods in Interdisciplinary Sciences Mathematical Methods in Interdisciplinary Sciences

Mathematical Methods in Interdisciplinary Sciences

    • ‏104٫99 US$
    • ‏104٫99 US$

وصف الناشر

Brings mathematics to bear on your real-world, scientific problems

Mathematical Methods in Interdisciplinary Sciences provides a practical and usable framework for bringing a mathematical approach to modelling real-life scientific and technological problems. The collection of chapters Dr. Snehashish Chakraverty has provided describe in detail how to bring mathematics, statistics, and computational methods to the fore to solve even the most stubborn problems involving the intersection of multiple fields of study. Graduate students, postgraduate students, researchers, and professors will all benefit significantly from the author's clear approach to applied mathematics.

The book covers a wide range of interdisciplinary topics in which mathematics can be brought to bear on challenging problems requiring creative solutions. Subjects include:
Structural static and vibration problems Heat conduction and diffusion problems Fluid dynamics problems
The book also covers topics as diverse as soft computing and machine intelligence. It concludes with examinations of various fields of application, like infectious diseases, autonomous car and monotone inclusion problems.

النوع
علم وطبيعة
تاريخ النشر
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١٥ يونيو
اللغة
EN
الإنجليزية
عدد الصفحات
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الناشر
Wiley
البائع
John Wiley & Sons, Inc.
الحجم
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‫م.ب.‬
Next Generation Data Technologies for Collective Computational Intelligence Next Generation Data Technologies for Collective Computational Intelligence
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E-Expertise: Modern Collective Intelligence E-Expertise: Modern Collective Intelligence
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Models and Algorithms for Global Optimization Models and Algorithms for Global Optimization
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From Nano to Space From Nano to Space
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Robust Data Mining Robust Data Mining
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Robust Optimization-Directed Design Robust Optimization-Directed Design
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Dimensionality Reduction in Machine Learning Dimensionality Reduction in Machine Learning
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Computation and Modeling for Fractional Order Systems Computation and Modeling for Fractional Order Systems
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Learning with Fractional Orthogonal Kernel Classifiers in Support Vector Machines Learning with Fractional Orthogonal Kernel Classifiers in Support Vector Machines
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Computational Fractional Dynamical Systems Computational Fractional Dynamical Systems
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APPLIED ARTIFICIAL NEURAL NETWORK METHODS ENGINEERS & SCIENT APPLIED ARTIFICIAL NEURAL NETWORK METHODS ENGINEERS & SCIENT
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WAVE DYNAMICS WAVE DYNAMICS
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