Format: Hardback, 286 pages, height x width: 235x155 mm, 55 Illustrations, color; 22 Illustrations, black and white; XVII, 286 p. 77 illus., 55 illus. in color.
Series: Applied Mathematical Sciences 215
Pub. Date: 25-Mar-2023
ISBN-13: 9783031238239
Goodreads reviews
The once esoteric idea of embedding scientific computing into a probabilistic framework, mostly along the lines of the Bayesian paradigm, has recently enjoyed wide popularity and found its way into numerous applications. This book provides an insider's view of how to combine two mature fields, scientific computing and Bayesian inference, into a powerful language leveraging the capabilities of both components for computational efficiency, high resolution power and uncertainty quantification ability. The impact of Bayesian scientific computing has been particularly significant in the area of computational inverse problems where the data are often scarce or of low quality, but some characteristics of the unknown solution may be available a priori. The ability to combine the flexibility of the Bayesian probabilistic framework with efficient numerical methods has contributed to the popularity of Bayesian inversion, with the prior distribution being the counterpart of classical regularization. However, the interplay between Bayesian inference and numerical analysis is much richer than providing an alternative way to regularize inverse problems, as demonstrated by the discussion of time dependent problems, iterative methods, and sparsity promoting priors in this book. The quantification of uncertainty in computed solutions and model predictions is another area where Bayesian scientific computing plays a critical role. This book demonstrates that Bayesian inference and scientific computing have much more in common than what one may expect, and gradually builds a natural interface between these two areas.
Inverse problems and subjective computing.- Linear algebra.- Continuous and discrete multivariate distributions.- Introduction to sampling.- The praise of ignorance: randomness as lack of certainty.- Enter subject: Construction of priors.- Posterior densities, ill-conditioning, and classical regularization.- Conditional Gaussian densities.- Iterative linear solvers and priorconditioners.- Hierarchical models and Bayesian sparsity.- Sampling: the real thing.- Dynamic methods and learning from the past.- Bayesian filtering and Gaussian densities.-
Format: Hardback, 360 pages, height x width: 235x155 mm, 66 Illustrations, color; 41 Illustrations, black and white; XIII, 360 p. 107 illus., 66 illus. in color.
Series: Springer Proceedings in Mathematics & Statistics 404
Pub. Date: 21-Mar-2023
ISBN-13: 9789811964053
This book collects papers presented at the Virtual International Conference on Soft Computing, Optimization Theory and Applications (SCOTA 2021), held at the Birla Institute of Technology, Mesra, Ranchi, India, from 26?27 March 2021. Topics discussed in the book are on fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations, and their application in areas such as intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction and optimization of complex problems.
The book highlights research on: (a) hybrid intelligent systems based on soft computing, new concepts and algorithms based on fuzzy logic and their applications, (b) theory and practice of meta-heuristics in different areas of application, (c) applications of fuzzy logic, (d) neural networks and hybrid intelligent systems in medical applications, (e) neural networks and optimization and evolutionary algorithms and their different applications and (f) applications of fuzzy logic, neural networks and meta-heuristics in pattern recognition problems. Some papers contain applications background like approximate solution of fractional differential equations via fixed-point algorithms and applications to equilibrium problems and image deburring problems. The book will be of great use to students, researchers and scientists in computer science, optimization and engineering, and those interested on computational intelligence and soft computing and their applications.
R. Kumari, A. Nigam and S. Pushkar, Classification of MRI images for detecting Alzheimer Disease using Convolutional Neural Network.- S. D. Godwal and S. S. Kanojia, Optimum over Current Relays Coordination for Radial Distribution Networks Using Soft-Computing Techniques.- Priyavada and B. Kumar, A Review of Modified Particle Swarm Optimization Method.- D. Patel and S. Sharma Automated Detection of Elephant Using AI Techniques.- P. Rajak and P. Roy, Determination of Probability of Failure of Structures Using DBSCAN and Support Vector Machine.- Md. Nayer and S. C. Pandey, The Ensemble of Ant Colony Optimization and Gradient Descent Technique for Efficient Feature Selection and Data Classification.- A. K. Prasad and S. S. Thakur, s-Regularity Via Soft Ideal.- K. A. Pattani and S. Gautam, A Comprehensive Study on Mobile Malwares: Mobile Covert Channels - Threats and Security.- F. Nikbakhtsarvestani, Overview of Incorporating Nonlinear Functions into Recurrent Neural Network Models.- Sangita A. Jaju, Sudhir B. Jagtap, and R. Shinde, A Soft Computing Approach for Predicting and Categorising Learner's Performance using Fuzzy Model.- T. Kaur Bhatia, A. Kumar, M.K. Sharma, and S.S. Appadoo, A Fuzzy Logic based Approach to Solve Interval Multiobjective Nonlinear Transportation Problem: Suggested Modifications.- O. Castillo and P. Melin, Interval Type-3 Fuzzy Decision Making in Material Surface Quality Control.- F. A. Khan, J. Ali, Fatimah N. Albishi, and F. Gursoy, A Generalized Nonlinear Quasi-Variational-Like Inclusion Problem Involving Fuzzy Mappings.- B. Kohli, Approximate Optimality Conditions via Convexifactors for Multiobjective Programming Problems.- F. Mirdamadi, H. Monfared, Mehdi Asadi, and H. Soleimani, A Remark on Discontinuity of Fixed Point on Partial Metric Spaces.- A. Priya, A. Kumari and M. Singh, Implementation of Fuzzy Logic in Home Appliances.- S. Banerjee, B. Guha, A. Ghosh, and G. Bandyopadhyay, Portfolio Structure of Debt Mutual Funds in Indian Market.- R. Om Gayathri and R. Hemavathy, Fixed Point Theorems for Digital Images using Path Length Metric.- R. P. Verma, N. Kumar, S. Kumar, and Sruthi S., Emergency Help for Road Accidents.- E. Arul, S. Akash Kumar, R. Ragul, and Yuvaanesh V.B., Music Classification Based on Lyrics and Audio by using Machine Learning.- S. Khalil and U. M. Modibbo, Multiobjective Optimization for Hospital Nurse Scheduling Problem.- Z. Ghouli, On the Performance of a Flow Energy Harvester using Time Delay.- A. Badran, Identification of Some Spatial Coefficients in Some Engineering Topics.- U. Bhagirathi and R. Ajoodha, Automatic Venue Allocation for Varying Class Sizes using Scoring and Heuristic Hill-climbing.- N. K. Sharma, S. Kumar, A. Rajpal, and N. Kumar, DWT and Quantization based Digital Watermarking Scheme using Kernel OS-ELM.- P. Muralikrishna, P. Hemavathi, and K. Palanivel, Stress Level Analysis Using Bipolar Picture Fuzzy Set.- Y. Kimura and K. Shindo, Asymptotic Behavior of Resolvents on Complete Geodesic Spaces with General Perturbation Functions.
Format: Hardback, 251 pages, height x width: 235x155 mm, 63 Illustrations, color; 6 Illustrations, black and white; X, 251 p. 69 illus., 63 illus. in color.
Series: Springer Proceedings in Mathematics & Statistics 411
Pub. Date: 25-Mar-2023
ISBN-13: 9783031207877
This book provides the current status of research on the application of OR methods to solve emerging and relevant operations management problems. Each chapter is a selected contribution of the IO2021 - XXI Congress of APDIO, the Portuguese Association of Operational Research, held in Figueira da Foz from 7 to 8 November 2021. Under the theme of analytics for a better world, the book presents interesting results and applications of OR cutting-edge methods and techniques to various real-world problems. Of particular importance are works applying nonlinear, multi-objective optimization, hybrid heuristics, multicriteria decision analysis, data envelopment analysis, simulation, clustering techniques and decision support systems, in different areas such as supply chain management, production planning and scheduling, logistics, energy, telecommunications, finance and health. All chapters were carefully reviewed by the members of the scientific program committee.
A. R. Aguiar, T. Ramos, M. Isabel Gomes,
Chapter 1 - A Biased Random-Key Genetic Algorithm for the Home Care Routing and Scheduling Problem: exploring the algorithm's configuration process.- B. F. Azevedo, F. Alvelos, Ana Maria A. C. Rocha, T. Brito, Jose Lima, Ana I. Pereira,
Chapter 2 - An Integer Programming Approach for Sensor Location in a Forest Fire Monitoring System.- C. Bessa, R. Duque, A. Jesus, C. Silva, L. Eberle, S. Moniz,
Chapter 3 - Capacity allocation incorporating market equity concerns: a Pharmaceutical Supply Chain case study.- I. S. Costa, R. Figueiredo, C. Requejo,
Chapter 4 - The Shortest Path in Signed Graphs.- M. Dias, N. Lourenco, C. Silva, S. Moniz,
Chapter 5 - The Break Point: A Machine Learning Approach to Web Breaks in Paper Mills.- M. M. Lima, F. Soares de Sousa, E. G. OEzturk, P. F. Rocha, A. M. Rodrigues, J. S. Ferreira, A. C. Nunes, I. C. Lopes, C. Teles Oliveira,
Chapter 6 - A resectorization of fire brigades in the north of Portugal.- L. Magalhaes, J. S. Guedes, J. Freire de Sousa,
Chapter 7 - A Holistic Framework for Increasing Agility in a Production Process.- P. Nascimento, C. Silva, S. Mueller, S. Moniz,
Chapter 8 - Nesting and scheduling for additive manufacturing: an approach considering order due dates.- E. Goeksu OEzturk, Filipe Soares de Sousa, M. M. Lima, P. F. Rocha, A. M. Rodrigues, J. S. Ferreira, A. C. Nunes, I. C. Lopes, C. Teles Oliveira,
Chapter 9 - Developing a System for Sectorization: An Overview.- M. Pascoal, M. T. Godinho, A. Moghanni,
Chapter 10 - New models for finding K short and dissimilar paths.- M. T. Pereira, M. Oliveira, F. A. Ferreira, A. Barreiras, L. Carneiro,
Chapter 11 - Time Windows Vehicle Routing Problem to on-time transportation of biological products on healthcare centres.- H. S. Rodrigues, Artur M. C. Brito da Cruz,
Chapter 12 - The role of communication on the spread of dengue: an optimal control simulation.- A. Torrado, A. Paula Barbosa-Povoa,
Chapter 13 - Towards an Optimized and Socio-Economic Blood Supply Chain Network.- Clara B. Vaz, Angela P. Ferreira,
Chapter 14 - A DEA Approach to Evaluate the Performance of the Electric Mobility Deployment in European Countries.- D. B. Viana, B. B. Oliveira,
Chapter 15 - The art of the deal: Machine learning based trade promotion evaluation.
Format: Hardback, 428 pages, height x width: 235x155 mm, 20 Tables, color;
55 Illustrations, color; 18 Illustrations, black and white; X, 428 p. 73 illus., 55 illus. in color
Series: Springer Proceedings in Mathematics & Statistics 412
Pub. Date: 10-Apr-2023
ISBN-13: 9783031214837
This book convenes peer-reviewed, selected papers presented at the Ninth International Conference New Trends in the Applications of Differential Equations in Sciences (NTADES) held in Sozopol, Bulgaria, June 17-20, 2022. The works are devoted to many applications of differential equations in different fields of science. A number of phenomena in nature (physics, chemistry, biology) and in society (economics) result in problems leading to the study of linear and nonlinear differential equations, stochastic equations, statistics, analysis, numerical analysis, optimization, and more. The main topics are presented in the five parts of the book - applications in mathematical physics, mathematical biology, financial mathematics, neuroscience, and fractional analysis. In this volume, the reader will find a wide range of problems concerning recent achievements in both theoretical and applied mathematics. The main goal is to promote the exchange of new ideas and research between scientists, who develop and study differential equations, and researchers, who apply them for solving real-life problems. The book promotes basic research in mathematics leading to new methods and techniques useful for applications of differential equations. The NTADES 2022 conference was organized in cooperation with the Society of Industrial and Applied Mathematics (SIAM), the major international organization for Industrial and Applied Mathematics and for the promotion of interdisciplinary collaboration between applied mathematics and science, engineering, finance, and neuroscience
Part
1. Applications in Mathematical Physics.-
1. Sigma-Porous media flow and Yamabe flow(Li Ma).-
2. Simple Equations Method (SEsM): Areas of Possible Applications (N. Vitanov).-3. An Example for Application of the Simple Equations Method for the Case of Use of a Single Simple Equation(Z.Dimitrova).-
4. Angela Slavova, Boundary Value Problems for the Polyharmonic Operators(P. Popivanov).-
5. Search of complex transcendental roots of combination of a nonlinear equation and a polynomial(Y. Mochimaru).-
6. Null non-controllability for singular and degenerate heat equation with double singular potential(N. Kutev, T. Rangelov,).-
7. Special Functions and Polynomials connected to the Simple Equations Method(N. Vitanov).-
8. Global Behavior of the Solutions to Nonlinear Wave Equation with Sign- changing Nonlinearity(N. Kutev, M. Dimova, N. Kolkovska,).-
9. An Example for Application of the Simple Equations Method for the Case of Use of a Two Simple Equations(Z. Dimitrova).-10. A note on the steady Poiseuille flow of Carreau-Yasuda fluid(N. Kutev, S. Tabakova,).-11. Green's function and wave scattering for inhomogeneous anti-plane PEM half-plane(T. Rangelov, P. Dineva).-
12. On the Well- Posedness of the Complex Ginzburg-Landau Equation on the Product Manifold R^dxT(M. Tarulli, E. Nikolova, G. Venkov).-
13. Exact Traveling Wave Solutions of the Generalized Rosenau-Kawahara-RLW Equation Arising in Fluid Mechanics(E. Nikolova, M. Lubomirova,).-
14. Several Properties of the Solutions of Linear and Semilinear Harmonic and Polyharmonic Equations(Petar Popivanov, A. Slavova).-
15. Global existence result of solutions for a riser equation with logarithmic source term and damping term(N.Irkil, E. Piskin).-
16. Parabolic Equations with Causal Operators(T. Donchev, D. Kolev, M. Kolev, A. Lazu).-
17. Well posedness of solutions for a degenerate viscoelastic equation for Kirchhoff-type with logarithmic nonlinearity(N. Irkil, E. Piskin).-
18. An Application of Simplest Equation Method to Nonlinear Equations of Schroedinger Kind(I. Jordanov).-
19. On the square of Laplacian with inverse square potential(V. Georgiev, M. Rastrelli).- Part
2. Applications in Mathematical Biology.-
20. Parameter Recovery Study of Honeybee Colony Failure due to Nutritional Issues(A. Atanasov, S. Georgiev).-
21. Dynamical Modeling of Competition between Three Basic Power Plants Types(E. Nikolova).-
22. Stability Analysis of a Mathematical Model of Hepatitis B Virus with Control on Immune System(I. Volinsky).-
23. Oncolytic virus vs cancer: Modeling and Simulation of Virotherapy with Differential Equations(I. Panayotova, M. Brucal-Hallare).-
24. Numerical Analysis of Honey Bee Colonies in Winter by Sign-changing Chemotactic Coefficient Model(A. Atanasov, M. Koleva, L. Vulkov).-
25. On Jansen - Rit system modeling epilepsy phenomena(A. Coletti).- Part
3. Applications in Financial Mathematics.-
27. Forex Time Series Forecasting using Hybrid Convolutional Neural Network/Long Short-Term Memory Network Model(M. Markova).-
28. Diversification and Optimization of the Financial Portfolio in Times of Uncertainty(I. Georgiev, V. Deninska, V. Mihova, V. Pavlov).-
29. Simulating Stochastic Differential Equations in Option Pricing(T. Klimenko, V. Pavlov).-
30. Comparison of the Growth Between the Number and the Payments of IBNR Claims with Chain Ladder Method(E. Raeva, V. Pavlov).-
31. Comparative Analysis of ARIMA and Modified Differential Equation Approaches in Stock Price Prediction and Portfolio Formation(V. Mihova, V. Centeno, I. Georgiev, V. Pavlov).-
32. Models for Measuring and Forecasting the Inferred Rate of Default(V. Boutchaktchiev).- Part
4. Applications in Neuroscience.-
33. Application of the Wavelet Data Transformation for the Time Series Forecasting by the Artificial Neural Network(A. Butorova, E. Baglaeva, I. Subbotina, M. Sergeeva, A. Sergeev, A. Shichkin, A. Buevich, P. Petrov,).-
34. Discrete neural networks with maximum and non-instantaneous impulses with computer simulation(S. Hristova, K. Stefanova).-
35. Prediction of the time series by the various types of artificial neural networks by the example of different time intervals of the content of methane in the atmosphere(A. Butorova, A. Buevich, A. Shichkin, A. Sergeev, E. Baglaeva, M. Sergeeva, I. Subbotina, J. Vasilev).-
36. Highly accurate scrambled stochastic approaches for multidimensional sensitivity analysis in air pollution modelling(V. Todorov, S. Georgiev,).-
37. Advanced biased stochastic approaches based on modified Sobol sequences for Fredholm integral equations(V. Todorov, I. Dimov, R. Georgieva,).- Part
5. Applications in Fractional Analysis.-
38. Conditional boundedness of generalized proportional Caputo fractional differential equations(S. Hristova, KIvanova).-
39. Practical stability of generalized proportional Caputo fractional differential equations by Lyapunov functions(T. Donchev, S. Hristova).-
40. Nonlinear evolution inclusions with causal operators(T. Donchev, N. Kitanov, A. Lazu, S. Stefanov).-
41. Non-positivity of Operators Gs,n+( T. Zapryanova).-
42. Some notes on Arcsine Exponentiated-X Family(M. Vasileva, N. Kyurkchiev).-
43. On a Piecewise Smooth Gompertz Growth Function. Applications(V. Kyurkchiev, A. Iliev, A. Rahnev, N. Kyurkchiev).
Format: Hardback, 220 pages, height x width: 235x155 mm, 65 Illustrations, color; 21 Illustrations, black and white; XVI, 220 p. 86 illus., 65 illus. in color
Series: Springer Proceedings in Mathematics & Statistics 413
Pub. Date: 08-Apr-2023
ISBN-13: 9789811981937
This book contains select papers presented at the International Conference on Applied Mathematics and Computational Intelligence (ICAMCI-2020), held at the National Institute of Technology Agartala, Tripura, India, from 19-20 March 2020. It discusses the most recent breakthroughs in intelligent techniques such as fuzzy logic, neural networks, optimization algorithms, and their application in the development of intelligent information systems by using applied mathematics. The book also explains how these systems will be used in domains such as intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction, and complicated problems in optimization. The book publishes new developments and advances in various areas of type-3 fuzzy, intuitionistic fuzzy, computational mathematics, block chain, creak analysis, supply chain, soft computing, fuzzy systems, hybrid intelligent systems, thermos-elasticity, etc. The book is targeted to researchers, scientists, professors, and students of mathematics, computer science, applied science and engineering, interested in the theory and applications of intelligent systems in real-world applications. It provides young researchers and students with new directions for their future study by exchanging fresh thoughts and finding new problems.
A. Bajpai and P. Kumar Sharma, Free Vibration Analysis of Generalized Thermoelastic Homogeneous Isotropic plate with Two Temperatures.- Premkumar P.S., Nadaraja Pillai S., Arunvinthan S., and S. Teja, Analysis of Heat Transfer Coefficients and Pressure Drops in Surface Condenser with Different Baffle Spacing.- U.M. Pirzada, S. Rama Mohan, Fuzzy Form of Euler Method to Solve Fuzzy Differential Equations and its Application.- K. Bhattacharya and S. Kumar De, Intuitionistic Fuzzy Metrics and its Application.- H Singh, Complex Structure of Number in Language Processing.- A. George, S. Rukhande, and D. Pillai, Digital Newspaper using Augmented Reality.- Dimplekumar N. Chalishajar and R. Ramesh, Nonlocal Fuzzy Solutions for Abstract Second-Order Differential Equations.- J. Grover and S. Singhal, Performance Assessment of Routing Protocols in Cognitive Radio Vehicular ad-hoc Networks.- T. Jalal and I. A. Malik, Infinite System of Second-Order Differential Equations in Banach Space c0.- B. HemaSundar Raju, Fourth-Order Computations of Mixed Convection Heat Transfer Past a Flat Plate for Liquid Metals in Elliptical Cylindrical Coordinates.- D. Dey and R. Borah, Steady and Unsteady Solutions of Free Convective Micropolar Fluid Flow Near the Lower Stagnation Point of a Solid Sphere.- I. Agrawal, T. Sharma and N. K. Verma, Low-Light Image Restoration using Dehazing based Inverted Illumination Map Enhancement.- A. Venkatesh and R. Gomathi Bhavani, Mathematical Modelling of Probability and Profit of Single Zero Roulette to Enhance Understanding of Bets.- M. Mohan and L. Pattabiraman, Application of Blockchain in Food Safety.- T. Sen, Non-linear Computational Crack Analysis of Flexural Deficit Carbon and Glass FRP Wrapped Beams.- R. Mitra, S. Gope, A. Goswami, P. K. Tiwari, Economic Benefit Analysis by Integration of Different Comparative Methods for FACTS Devices.- A. K. Mondal, S. Pareek, A. Bera and B. Sarkar, Optimal Pricing with Servicing Effort in Two Remanufacturing Scenarios of a Closed-Loop Supply Chain.- F. Valdez, O. Castillo, and P. Melin, A Review on Type-2 Fuzzy Systems in Robotics and Prospects for Type-3 Fuzzy.- O. Castillo, P. Melin and Juan R. Castro, A Proposal for Interval Type-3 Fuzzy Sets Mathematical Definitions.- Z. Jankova, P. Dostal, D. K. Jana, S. Roy, S. Bhattacharjee and B. Bej, Optimization of Solubilization of Palm Oil Mill Effluent (POME) by using Interval Imprecise Data Set.