Integral Evaluations Using the Gamma and Beta Functions and Elliptic Integrals in Engineering
Author: Constantin C. Maican
Publisher:
Published: 2005
Total Pages: 314
ISBN-13:
DOWNLOAD EBOOKRead and Download eBook Full
Author: Constantin C. Maican
Publisher:
Published: 2005
Total Pages: 314
ISBN-13:
DOWNLOAD EBOOKAuthor: Constantin C. Maican
Publisher:
Published: 2005
Total Pages: 314
ISBN-13: 9781571461582
DOWNLOAD EBOOKFor the evaluation of many integrals, the Euler's gamma and beta functions and the complete elliptic integrals are among the useful functions in engineering, physics and probability. This book illustrates how the properties of these functions may be used for integral evaluation.
Author: C. C. (Constantin C.) Maican
Publisher:
Published: 1993
Total Pages: 270
ISBN-13: 9780969685500
DOWNLOAD EBOOKAuthor: C. C. (Constantin C.) Maican
Publisher: Mississauga, Ont. : C.C. Maican
Published: 1999-01-01
Total Pages: 318
ISBN-13: 9780969685517
DOWNLOAD EBOOKAuthor: Constantin C. Maican
Publisher:
Published: 2013
Total Pages: 318
ISBN-13: 9781571462626
DOWNLOAD EBOOKAuthor: Khristo N Boyadzhiev
Publisher: World Scientific
Published: 2021-12-10
Total Pages: 401
ISBN-13: 9811235775
DOWNLOAD EBOOKThis volume contains techniques of integration which are not found in standard calculus and advanced calculus books. It can be considered as a map to explore many classical approaches to evaluate integrals. It is intended for students and professionals who need to solve integrals or like to solve integrals and yearn to learn more about the various methods they could apply. Undergraduate and graduate students whose studies include mathematical analysis or mathematical physics will strongly benefit from this material. Mathematicians involved in research and teaching in areas related to calculus, advanced calculus and real analysis will find it invaluable.The volume contains numerous solved examples and problems for the reader. These examples can be used in classwork or for home assignments, as well as a supplement to student projects and student research.
Author: Daniele Ritelli
Publisher: CRC Press
Published: 2020-04-13
Total Pages: 252
ISBN-13: 1351245090
DOWNLOAD EBOOKIntroductory Mathematical Analysis for Quantitative Finance is a textbook designed to enable students with little knowledge of mathematical analysis to fully engage with modern quantitative finance. A basic understanding of dimensional Calculus and Linear Algebra is assumed. The exposition of the topics is as concise as possible, since the chapters are intended to represent a preliminary contact with the mathematical concepts used in Quantitative Finance. The aim is that this book can be used as a basis for an intensive one-semester course. Features: Written with applications in mind, and maintaining mathematical rigor. Suitable for undergraduate or master's level students with an Economics or Management background. Complemented with various solved examples and exercises, to support the understanding of the subject.
Author: Pamela E. Harris
Publisher: Springer Nature
Published: 2020-04-17
Total Pages: 334
ISBN-13: 3030378535
DOWNLOAD EBOOKThis volume provides accessible and self-contained research problems designed for undergraduate student projects, and simultaneously promotes the development of sustainable undergraduate research programs. The chapters in this work span a variety of topical areas of pure and applied mathematics and mathematics education. Each chapter gives a self-contained introduction on a research topic with an emphasis on the specific tools and knowledge needed to create and maintain fruitful research programs for undergraduates. Some of the topics discussed include:• Disease modeling• Tropical curves and surfaces• Numerical semigroups• Mathematics EducationThis volume will primarily appeal to undergraduate students interested in pursuing research projects and faculty members seeking to mentor them. It may also aid students and faculty participating in independent studies and capstone projects.
Author: Y. L. Tong
Publisher: Academic Press
Published: 2014-07-10
Total Pages: 256
ISBN-13: 1483269213
DOWNLOAD EBOOKProbability Inequalities in Multivariate Distributions is a comprehensive treatment of probability inequalities in multivariate distributions, balancing the treatment between theory and applications. The book is concerned only with those inequalities that are of types T1-T5. The conditions for such inequalities range from very specific to very general. Comprised of eight chapters, this volume begins by presenting a classification of probability inequalities, followed by a discussion on inequalities for multivariate normal distribution as well as their dependence on correlation coefficients. The reader is then introduced to inequalities for other well-known distributions, including the multivariate distributions of t, chi-square, and F; inequalities for a class of symmetric unimodal distributions and for a certain class of random variables that are positively dependent by association or by mixture; and inequalities obtainable through the mathematical tool of majorization and weak majorization. The book also describes some distribution-free inequalities before concluding with an overview of their applications in simultaneous confidence regions, hypothesis testing, multiple decision problems, and reliability and life testing. This monograph is intended for mathematicians, statisticians, students, and those who are primarily interested in inequalities.