Format: Hardback, 525 pages, height x width: 235x155 mm, 20 Illustrations, color;
40 Illustrations, black and white; X, 525 p. 60 illus., 20 illus. in color.,
Series: Springer Optimization and Its Applications 208
Pub. Date: 19-May-2025
ISBN-13: 9783031850950
This book delves into the intricate world of interval programming, offering a comprehensive exploration of mathematical programming problems characterized by interval data. Interval data, often arising from uncertainties like measurement errors or estimations, are also pivotal in analyzing stability, sensitivity, and managing numerical issues. At the heart of this book is the principle of interval analysis, ensuring that all possible realizations of interval data are accounted for.
Readers will uncover a wealth of knowledge as the author meticulously examines how variations in input coefficients affect optimal solutions and values in linear programming. The chapters are organized into three parts: foundational concepts of interval analysis, linear programming with interval data, and advanced extensions into multiobjective and nonlinear problems. This book invites readers to explore critical questions about stability, duality, and practical applications across diverse fields. With contributions from eminent scholars, it provides a unique blend of theoretical insights and practical case studies.
Designed for both researchers and students with a basic understanding of mathematics, this book serves as an essential resource for anyone interested in mathematical programming. Whether used as a monograph or a lecture textbook, it offers clear explanations and comprehensive proofs to make complex concepts accessible. Scholars in operations research, applied mathematics, and related disciplines will find this volume invaluable for advancing their understanding of interval programming.
Preface.- Preliminaries.- Part I. Interval Computation.- Introduction.-
Interval Systems of Linear Equations.- General Interval Linear Systems.- Part
II. Interval Linear Programming.- Introduction to Interval Linear
Programming.- Optimal Value Range.- Basis Stability.- Optimal Solution Set.-
Other Issues.- Special Interval Cases.- Special LP Cases.- Applications.-
Part III. Extensions.- Interval Multiobjective Linear Programming.- Nonlinear
Programming Problems with Interval Data.- AE Interval Linear Programming.-
General Parameter and Enclosing Sets.- References.- Index.
Format: Hardback, 443 pages, height x width: 235x155 mm, 28 Illustrations, color;
5 Illustrations, black and white; X, 443 p. 33 illus., 28 illus. in color.,
Series: Springer Optimization and Its Applications 224
Pub. Date: 31-May-2025
ISBN-13: 9783031857423
This contributed volume is dedicated to Academician Gradimir V. Milovanovic on his 75th birthday and contains recent results in the fields of approximation theory, numerical analysis, mathematical analysis, optimization theory, and various applications of an interdisciplinary character.
Most of these results were presented in person during an International Conference gAnalysis, Approximations and Applications" (AAA2023), organized by the Faculty of Science, University of Kragujevac in Vrnjacka Banja, Serbia (June 21-24, 2023).
This book is intended for researchers and students of mathematics and other computational and applied sciences.
This book provides surveys of state of the art results in the fields of Extremal Problems, Optimization and Calculus of Variations; Orthogonal Systems and Quadrature Formulas; Differential and Integral Equations, Integral Transforms and Operation Calculus; Analytic Number Theory and Special Functions; Real and Complex Functions, Sequences, Series, Approximations and Expansions; Functional Analysis, Operator Theory, Fixed Point Theory and Iterative Processes, as well as in Miscellaneous Applications.
Part I Introduction.
Chapter 1 The Life Path and Scientific Career of Academician Professor Gradimir V. Milovanovic.-
Part II Contributed Chapters.
Chapter 2 Shift-Invariant Subspaces of Sobolev Spaces and Shift-Preserving Operators.-
Chapter 3 Multicriteria Model with a Dominant Criterion in Satisfaction and Non-Satisfaction.
Chapter 4 Enhanced Averaged Quadrature Rules with Application to Error Estimation.
Chapter 5 A Curious Hypergeometric Identity and Perfectness of MeixnerSorokin System of Weights.
Chapter 6 On Reverse Triangle Inequality and some its Applications.
Chapter 7 Classical Karamata Theory of Regular Variability and the Index Function Operator.
Chapter 8 A note on Laguerre Truncated Polynomials and Quadrature Formula.
Chapter 9 An Optimal Quadrature Formula with Derivative in the Hilbert Space.
Chapter 10 Dynamics of Operators on the Space of Radon Measures.
Chapter 11 Error Estimates of Gaussian-type Quadratures A Survey.
Chapter 12 Partitions and Automorphisms of Finite Kurepa Trees.-
Chapter 13 Karamatas Theory, Asymptotic Relations and the Generalized Inverse.
Chapter 14 Optimal Solutions of System of ( ?? ,??)-Hilfer FDEs via Best Proximity Point using MNC.
Chapter 15 Iterative Methods for the Inclusion of the Inverse Matrix.
Chapter 16 The Optimal Quadrature Formula for the Approximate Calculation of Fourier Coefficients in the Space f??2 (2,1) of Periodic Functions.
Chapter 17 On Almost Deferred Sequence Spaces Defined by Infinite Matrix.
Chapter 18 Certain Classes of Combinatorial Polynomials Involving (Inverse) Binomial Coefficients with their Applications.
Chapter 19 The Finite Difference Method for Solution of Parabolic Problem with Time-Dependent Coefficients.
Chapter 20 Quadrature Rules for Trigonometric Polynomials.
Chapter 21 A Boubaker Collocation Method to Solve the Single Degree of Freedom System.
Chapter 22 New Multiplicative Method of Multicriteria Analysis.
Format: Hardback, 400 pages, height x width: 235x155 mm, 184 Illustrations, color;
32 Illustrations, black and white; X, 400 p. 216 illus., 184 illus. in color.,
Series: Springer Proceedings in Mathematics & Statistics 442
Pub. Date: 31-May-2025
ISBN-13: 9783031513411
In the dynamic landscape of technology, machine learning and big data analytics have emerged as transformative forces, reshaping industries and empowering innovation. Machine learning, a subset of artificial intelligence, equips systems to learn and adapt from data, revolutionizing decision-making, automation, and predictive capabilities. Meanwhile, Big Data Analytics processes and extracts insights from vast and complex datasets, unveiling hidden patterns and trends. Together, these fields enable us to harness the immense power of data for smarter business strategies, improved healthcare, enhanced user experiences, and countless other applications. This edited volume on machine learning and big data analytics (Proceedings of ICMLBDA 2023, which was held on May 29-30, 2023 by NERIST and NIT Arunachal Pradesh India) introduces an exciting journey into the intersection of machine learning and Big Data Analytics, where data becomes a catalyst for progress and transformation.
Preface.- Optimized Neural Networks Archetype for Prediction of
Socio-Economic Class of Women in India.- Improvement Of UPFC Performance In
Power Systems Using Artificial Intelligence.- Classification of Parkinsons
Disease Using Machine Learning Techniques.- A Survey on Skin Cancer Detection
Using Artificial Intelligence.- A Review of Ranking Approach to Rank
Interval-valued Trapezoidal Intuitionistic Fuzzy Sets.- An Empirical
Evaluation of ResNet-SE-16 for Accurate Classification of Lung Cancer using
Histopathological Images.- Design of EV Battery System Using Grid-Interfaced
Solar PV Power with Novel Adaptive Digital Control Algorithm.- A
Decentralized and Intelligent Approach for Suspicious Event Detection in
Surveillance Range.- Image Selection for Graphical Password
Authentification.- Soft Computing for Visual Recognition through audio for
Visually Impaired.- Diet Meal Plan Chatbot.- MRI Images Based Brain Tumor
Classification Using Convolution Neural Networks.- Segmenting MRI Images
Using Federated Learning for Brain Tumor Detection.- Comparative Analysis of
Fuzzy Regular Graph Properties.- Effective Cloud Data Management by Using AES
Encryption and Decryption.- Prediction of Angina Pectoris.- A Novel Web
Attack Recognition System for IOT via Ensemble Classification.- Automatic
Identification of Medical Plant Species Using VGG-19 Model.- Identification
of Fake Job Recruitment Using Several Machine Learning (ML) Models.-
SDS:Secure Image Transmission Using Advanced Encryption Standard With
Salting, Steganography and Data Shredding Techniques.- Multi Crop Multi
Disease Detection.- Avian Soundscape Analysis Using Machine Learning.- Smart
Security and Surveillance System.- Cyber Money Laundering Detection Using
Machine Learning Methods.- Accessible chatbot Interface for Price Negotiation
System.- Recognizing and Logging Vehicles by Scanning License Plates and
Drivers Face.- Machine learning based classification of X-ray images using
convolutional neural networks.- A Comparative Study of Inception Models for
Bone X-rays Classification and Pathology Detection.- Dietary Assessment
Report Generation using RCNN.- A Blockchain based Networking Approach for
Advanced HealthCare Services.- Fine-grained Sentiment Analysis on Covid-19
Tweets using Deep Learning Techniques.- Index.
Format: Hardback, 275 pages, height x width: 235x155 mm, X, 275 p.,
Series: Springer Proceedings in Mathematics & Statistics 489
Pub. Date: 19-May-2025
ISBN-13: 9783031838637
This proceedings volume compiles selected, revised papers presented at the 54th Southeastern International Conference on Combinatorics, Graph Theory, and Computing (SEICCGTC 2023), which took place at Florida Atlantic University in Boca Raton, USA, from March 6th to 10th, 2023.
The SEICCGTC is widely regarded as a trendsetter for other conferences worldwide. Many ideas and themes initially discussed here have subsequently been explored in other conferences and symposia.
Since 1970, the conference has been held annually in Baton Rouge, Louisiana, and Boca Raton, Florida. Over the years, it has grown to become the primary annual conference in its fields, playing a crucial role in disseminating results and fostering collaborative work.
This volume is tailored for the community of pure and applied mathematicians in academia, industry, and government, who work in combinatorics and graph theory, as well as related areas of computer science and the intersections among these fields.
1 Constraint Programming Generation of Optimal Balanced Incomplete Block
Design.- 2 Some Remarks on Fibonacci-type Recursive Polynomials.- 3 Survival
Probabilities of Counting-Out Games on a Line.- 4 Intersection of Longest
Cycle and Largest Bond in 3-Connected Graphs.- 5 Characterizing Minimally
3-Connected Graphs.- 6 Properties of Pancentral and Related Graphs.- 7 The
Gathering Number of a Graph and Vertex Degrees.- 8 Complete Multipartite
Graphs are Pansophical.- 9 Superuser Pansophy.- 10 The Conclusion to the
Edge-Balance Index Set Problem for Complete Bipartite Graphs.- 11 On Tight
6-Cycle Decompositions of Complete 3-Uniform Multi-Hypergraphs.- 12 An
Extension of Seymour's Second Neighborhood Conjecture.- 13 k-Domination in
Cartesian Product of Complete Graphs.- 14 On Irregular Domination in Graphs.-
15 Cop Numbers of Periodic Graphs.- 16 Euler's Formula for General Graph
Embeddings.- 17 Ramsey Theory in Mathematical Olympiad and Nesting
Parallelepipeds.- 18 Geometric Parameters of Bipartite Suspensions.
Format: Hardback, 440 pages, height x width: 235x155 mm, 222 Illustrations, color;
59 Illustrations, black and white; X, 440 p. 281 illus., 222 illus. in color.,
Series: Springer Proceedings in Mathematics & Statistics 493
Pub. Date: 26-May-2025
ISBN-13: 9783031845123
This volume encapsulates the collective knowledge shared and innovations presented at the 9th International Conference on Computers, Management & Mathematical Sciences (ICCM) 2023 held on the 24th and 25th of August, 2023 at the North Eastern Regional Institute of Science and Technology (NERIST), India. The ICCM 2023 was a hybrid conference, featuring both in-person and virtual attendance and explores the transformative role of computational intelligence in solving complex problems across management and mathematics. Computational intelligence encompasses techniques inspired by the human brain and naturesuch as fuzzy systems, neural networks, and evolutionary computationthat excel in stochastic environments where reasoning is essential to derive meaningful solutions.
The proceedings offer a comprehensive overview of how these powerful algorithms and principles are applied to a diverse array of research challenges, with a particular emphasis on computational aspects in the business domain. Scholars, researchers, and students will find invaluable insights into the development and implementation of innovative methods tailored to real-world scenarios.
Application of fuzzy logic to decision-making in uncertain environments. Advances in neural networks for predictive analysis and optimization. Evolutionary computation techniques for addressing complex, multi-variable problems. Insights into computational methods that bridge management theory and mathematical models.
This volume serves as a critical resource for anyone seeking to harness computational intelligence to push the boundaries of research in management and mathematics. Whether you're a student embarking on your academic journey or a seasoned scholar, this book provides the tools and knowledge needed to navigate this dynamic field.