Introductory Differential Equations, Fifth Edition provides accessible explanations and new, robust sample problems. This valuable resource is appropriate for a first semester course in introductory ordinary differential equations (including Laplace transforms), but is also ideal for a second course in Fourier series and boundary value problems, and for students with no background on the subject. The book provides the foundations to assist students in learning not only how to read and understand differential equations, but also how to read technical material in more advanced texts as they progress through their studies.
Gives students a complete foundation on the subject, providing a strong basis for learning how to read technical material in more advanced texts
Includes new, comprehensive exercise sets throughout, ranging from straightforward to challenging
Offers applications and extended projects relevant to the real-world through the use of examples in a broad range of contexts
Undergraduate students from a variety of majors, taking courses typically titled (Introductory) Differential Equations, (Introductory) Partial Differential Equations, Applied Mathematics, Fourier Series and Boundary Value Problems
1. Introduction to Differential Equations
2. First-Order Equations
3. Applications of First-Order Differential Equations
4. Higher Order Equations
5. Applications of Higher Order Differential Equations
6. Systems of Differential Equations
7. Applications of Systems of Ordinary Differential Equations
8. Introduction to the Laplace Transform
No. of pages: 520
Language: English
Copyright: c Academic Press 2019
Published: 18th April 2018
Imprint: Academic Press
Paperback ISBN: 9780128149485
Handbook of Statistics, Volume 38
Computational Analysis and Understanding of Natural Languages: Principles, Methods and Applications, Volume 38, the latest release in this monograph that provides a cohesive and integrated exposition of these advances and associated applications, includes new chapters on Linguistics: Core Concepts and Principles, Grammars, Open-Source Libraries, Application Frameworks, Workflow Systems, Mathematical Essentials, Probability, Inference and Prediction Methods, Random Processes, Bayesian Methods, Machine Learning, Artificial Neural Networks for Natural Language Processing, Information Retrieval, Language Core Tasks, Language Understanding Applications, and more.
The synergistic confluence of linguistics, statistics, big data, and high-performance computing is the underlying force for the recent and dramatic advances in analyzing and understanding natural languages, hence making this series all the more important.
Provides a thorough treatment of open-source libraries, application frameworks and workflow systems for natural language analysis and understanding
Presents new chapters on Linguistics: Core Concepts and Principles, Grammars, Open-Source Libraries, Application Frameworks, Workflow Systems, Mathematical Essentials, Probability, and more
Industry practitioners, educators, students and researchers. Suitable for teaching classes at both graduate and undergraduate levels
1. Linguistics: Core Concepts and Principles
Venkat Gudivada
2. Grammars
Venkat Gudivada
3. Open-Source Libraries, Application Frameworks, Workflow Systems, and Other Resources
Kamyar Arbabifard and Venkat Gudivada
4. Mathematical Essentials
Vadlamudi China Venkaiah
5. Probability
Paul Vos and Qiang Wu
6. Inference and Prediction Methods
Paul Vos and Qiang Wu
7. Random Processes
Qiang Wu and Paul Vos
8. Bayesian Methods
Indranil Ghosh
9. Machine Learning
G. Shobha and Shanta Rangaswamy
10. Artificial Neural Networks for Natural Language Processing
Ehsan Fathi and Babak Maleki Shoja
11. Information Retrieval
Jay Bhuyan and Sanjeev Singh
12. Language Core Tasks 1
Venkat Gudivada
13. Language Core Tasks 2
Venkat Gudivada
14. Language Understanding Applications 1
Venkat Gudivada
15. Language Understanding Applications 2
Venkat Gudivada
16. Deep Learning for Natural Language Processing
Ying Xie and Vijay V. Raghavan
17. Text Mining for Modeling Cyberattacks
Steven Noel
18. World Languages and Crosslinguistics
Venkat Gudivada
19. Linguistic Elegance of the Languages of South India
Deepamala N
20. Current Trends and Open Problems
Venkat Gudivada
No. of pages: 420
Language: English
Copyright: c North Holland 2018
Published: 1st September 2018
Imprint: North Holland
Hardcover ISBN: 9780444640420
Handbook of Statistics Volume 39
Integrated Population Biology and Modeling: Part A offers very complex and precise realities of quantifying modern and traditional methods of understanding populations and population dynamics. Chapters cover emerging topics of note, including Longevity dynamics, Modeling human-environment interactions, Survival Probabilities from 5-Year Cumulative Life Table Survival Ratios (Tx+5/Tx): Some Innovative Methodological Investigations, Cell migration Models, Evolutionary Dynamics of Cancer Cells, an Integrated approach for modeling of coastal lagoons: A case for Chilka Lake, India, Population and metapopulation dynamics, Mortality analysis: measures and models, Stationary Population Models, Are there biological and social limits to human longevity?, Probability models in biology, Stochastic Models in Population Biology, and more.
Covers emerging topics of note in the subject matter
Presents chapters on Longevity dynamics, Modeling human-environment interactions, Survival Probabilities from 5-Year Cumulative Life Table Survival Ratios (Tx+5/Tx), and more
Graduate students to senior researchers in statistics and applied mathematicians who wish to refer to a very rich and authentic collection of population models and their analytical solutions to their real-world applications. Research scientists and quantitative biologists would find this information fascinatingly replicative
1. Longevity dynamics
James Carey
2. Modeling human-environment interactions
Tamer Oraby
3. Survival Probabilities from 5-Year Cumulative Life Table Survival Ratios (Tx+5/Tx): Some Innovative Methodological Investigations
Prof. Subrata Lahiri
4. Cell migration Models
Christian Adam Yates
5. Evolutionary Dynamics of Cancer Cells
Dominik Wodarz
6. Integrated approach for modeling of coastal lagoons: A case for Chilka Lake, India"
P.D.N. Srinivasu
7. Population and metapopulation dynamics
Amitabh Joshi
8. Mortality analysis: measures and models
Vladimir Canudas-Romo
9. Stationary Population Models
Arni S.R. Srinivasa Rao
10. Are there biological and social limits to human longevity?
David Swanson
11. Probability models in biology
Carlos Escudero
12. Stochastic Models in Population Biology
John Fricks
13. Methods of measuring human well being and human development
Udoy Saikia
14. Stochastic Models in Demography R.C. Yadava
No. of pages: 420
Language: English
Copyright: c North Holland 2018
Published: 1st October 2018
Imprint: North Holland
Hardcover ISBN: 9780444640727
Handbook of Numerical Analysis, Volume 19
Processing, Analyzing and Learning of Images, Shapes, and Forms: Volume 19, Part One provides a comprehensive survey of the contemporary developments related to the analysis and learning of images, shapes and forms. It covers mathematical models as well as fast computational techniques, and includes new chapters on Alternating diffusion: a geometric approach for sensor fusion, Shape Correspondence and Functional Maps, Geometric models for perception-based image processing, Decomposition schemes for nonconvex composite minimization: theory and applications, Low rank matrix recovery: algorithms and theory, Geometry and learning for deformation shape correspondence, and Factoring scene layout from monocular images in presence of occlusion.
Presents a contemporary view on the topic, comprehensively covering the newest developments and content
Provides a comprehensive survey of the contemporary developments related to the analysis and learning of images, shapes and forms
Research scientists and graduate students specialising in mathematics, as well as engineers with a basic knowledge in partial differential equations and their numerical approximations.
1. Alternating diffusion: a geometric approach for sensor fusion
Ronen Talmon
2. Shape Correspondence and Functional Maps
Max Ovsjanikov
3. Geometric models for perception-based image processing
Marcelo Bertalmio
4. Decomposition schemes for nonconvex composite minimization: theory and applications
Mark Teboulle
5. Low rank matrix recovery: algorithms and theory
Jianfeng Cai
6. Geometry and learning for deformation shape correspondence
Alex Bronstein
7. Factoring scene layout from monocular images in presence of occlusion
Niloy J. Mitra
No. of pages: 525
Language: English
Copyright: c North Holland 2018
Published: 1st November 2018
Imprint: North Holland
Hardcover ISBN: 9780444642059