Mathematical Models, Methods and Applications Mathematical Models, Methods and Applications
Industrial and Applied Mathematics

Mathematical Models, Methods and Applications

    • 59,99 €
    • 59,99 €

Description de l’éditeur

The present volume contains invited talks of 11th biennial conference on “Emerging Mathematical Methods, Models and Algorithms for Science and Technology”. The main message of the book is that mathematics has a great potential to analyse and understand the challenging problems of nanotechnology, biotechnology, medical science, oil industry and financial technology. The book highlights all the features and main theme discussed in the conference. All contributing authors are eminent academicians, scientists, researchers and scholars in their respective fields, hailing from around the world.

GENRE
Science et nature
SORTIE
2015
14 décembre
LANGUE
EN
Anglais
LONGUEUR
317
Pages
ÉDITIONS
Springer Nature Singapore
TAILLE
8,4
Mo

Plus de livres par Abul Hasan Siddiqi, Pammy Manchanda & Rashmi Bhardwaj

Functional Analysis with Current Applications in Science, Technology and Industry Functional Analysis with Current Applications in Science, Technology and Industry
2021
Mathematical Modelling, Optimization, Analytic and Numerical Solutions Mathematical Modelling, Optimization, Analytic and Numerical Solutions
2020
Calculus for Scientists and Engineers Calculus for Scientists and Engineers
2019
Modern Engineering Mathematics Modern Engineering Mathematics
2017
Functional Analysis and Applications Functional Analysis and Applications
2018
Industrial Mathematics and Complex Systems Industrial Mathematics and Complex Systems
2017

Autres livres de cette série

Advances in Functional Analysis and Fixed-Point Theory Advances in Functional Analysis and Fixed-Point Theory
2024
An Introduction to Fractional Differential Equations An Introduction to Fractional Differential Equations
2023
Advances in Topology and Their Interdisciplinary Applications Advances in Topology and Their Interdisciplinary Applications
2023
Advances in Reliability, Failure and Risk Analysis Advances in Reliability, Failure and Risk Analysis
2023
Learning with Fractional Orthogonal Kernel Classifiers in Support Vector Machines Learning with Fractional Orthogonal Kernel Classifiers in Support Vector Machines
2023
Approximation Theory, Sequence Spaces and Applications Approximation Theory, Sequence Spaces and Applications
2022