Smith C A First Course in Diff Equations, Modeling, and Simulation 2012 Rep | 3.49 MB
N/A | 344 Pages

Title: A First Course in Differential Equations, Modeling, and Simulation
Author: Smith, Carlos A., Campbell, Scott W.
Year: N/A

Essential Ordinary Differential Equations
English | 2023 | ISBN: 3031115309 | 294 Pages | PDF EPUB (True) | 12 MB
This textbook offers an engaging account of the theory of ordinary differential equations intended for advanced undergraduate students of mathematics. Informed by the author's extensive teaching experience, the book presents a series of carefully selected topics that, taken together, cover an essential body of knowledge in the field. Each topic is treated rigorously and in depth.

Boyd J Solving Transcendental Equations 2014 | 4.77 MB
N/A | 446 Pages

Title: Front Matter
Author: N/A
Year: N/A

Argyros I Numerical Methods for Equations and its Applications 2012 | 2.09 MB
N/A | 476 Pages

Title: Numerical Methods for Equations and Its Applications
Author: Ioannis K. Argyros
Year: N/A

Magnus R Essential Ordinary Differential Equations 2023 | 2.71 MB
English | 290 Pages

Title: Ordinary Differential Equations (Dover Books on Mathematics)
Author: Morris Tenenbaum
Year: 2022

Published 11/2022
Created by Ravi Mishra
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 43 Lectures ( 7h 34m ) | Size: 7.93 GB

Barbara D. Maccluer, Paul S. Bourdon, Thomas L. Kriete, "Differential Equations: Techniques, Theory, and Applications"
English | 2019 | ISBN: 1470447975 | PDF | pages: 890 | 8.2 mb
Differential Equations: Techniques, Theory, and Applications is designed for a modern first course in differential equations either one or two semesters in length. The organization of the book interweaves the three components in the subtitle, with each building on and supporting the others. Techniques include not just computational methods for producing solutions to differential equations, but also qualitative methods for extracting conceptual information about differential equations and the systems modeled by them. Theory is developed as a means of organizing, understanding, and codifying general principles. Applications show the usefulness of the subject as a whole and heighten interest in both solution techniques and theory. Formal proofs are included in cases where they enhance core understanding; otherwise, they are replaced by informal justifications containing key ideas of a proof in a more conversational format. Applications are drawn from a wide variety of fields: those in physical science and engineering are prominent, of course, but models from biology, medicine, ecology, economics, and sports are also featured. The 1,400+ exercises are especially compelling. They range from routine calculations to large-scale projects. The more difficult problems, both theoretical and applied, are typically presented in manageable steps. The hundreds of meticulously detailed modeling problems were deliberately designed along pedagogical principles found especially effective in the MAA study Characteristics of Successful Calculus Programs, namely, that asking students to work problems that require them to grapple with concepts (or even proofs) and do modeling activities is key to successful student experiences and retention in STEM programs. The exposition itself is exceptionally readable, rigorous yet conversational. Students will find it inviting and approachable. The text supports many different styles of pedagogy from traditional lecture to a flipped classroom model. The availability of a computer algebra system is not assumed, but there are many opportunities to incorporate the use of one.

English | 2023 | ISBN: 978-8770227636 | 292 pages | True PDF | 7.04 MB
Many scientific and real-world problems that occur in science, engineering, and medicine can be represented in differential equations. There is a vital role for differential equations in studying the behavior of different types of real-world problems. Thus, it becomes crucial to know the existence uniqueness properties of differential equations and various methods of finding differential equation solutions in explicit form. It is also essential to know different kinds of differential equations in terms of eigenvalues, termed eigenvalue problems, and some special functions used in finding the solution to differential equations. The study of nonlinear problems also plays a significant role in different real-world situations. There is a necessity to know the behavior of solutions of nonlinear differential equations. Still, there are very few forms of differential equations whose solution can be found in explicit form. For the differential equations whose solutions cannot be found in explicit form, one has to study the properties of solutions of the given differential equation to guess an approximate solution of it. This book aims to introduce all the necessary topics of differential equations in one book so that laymen can easily understand the subject and apply it in their research areas. The novel approach used in this book is that I have introduced different analytical methods for finding the solution of differential equations with sufficient theorems, corollaries, and examples, and the geometrical interpretations in each topic.
This textbook is intended to study the theory and methods of finding the explicit solutions to differential equations, wherever possible, and in the absence of finding explicit solutions. It is intended to study the properties of solutions to the given differential equations. This book is based on syllabi of the theory of differential equations prescribed for postgraduate students of mathematics and applied mathematics in different institutions and universities of India and abroad. This book will be helpful for competitive examinations as well.

English | 2022 | ISBN: 978-1032259482 | 379 pages | True PDF | 8.5 MB
Exploring Modeling with Data and Differential Equations Using R provides a unique introduction to differential equations with applications to the biological and other natural sciences. Additionally, model parameterization and simulation of stochastic differential equations are explored, providing additional tools for model analysis and evaluation. This unified framework sits "at the intersection" of different mathematical subject areas, data science, statistics, and the natural sciences. The text throughout emphasizes data science workflows using the R statistical software program and the tidyverse constellation of packages. Only knowledge of calculus is needed; the text's integrated framework is a stepping stone for further advanced study in mathematics or as a comprehensive introduction to modeling for quantitative natural scientists.
The text will introduce you to:

Chao W, Dynamic Equations Periodic Fuzzy Functions on Time Scales 2022 | 2.33 MB
N/A | 195 Pages

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