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Springer Undergraduate Texts in Mathematics and Technology
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Título : Algorithms and Programming : Problems and Solutions Tipo de documento: documento electrónico Autores: Shen, Alexander ; SpringerLink (Online service) Editorial: New York, NY : Springer New York Fecha de publicación: 2010 Otro editor: Imprint: Springer Colección: Springer Undergraduate Texts in Mathematics and Technology, ISSN 1867-5506 Número de páginas: XII, 272 p Il.: online resource ISBN/ISSN/DL: 978-1-4419-1748-5 Idioma : Inglés (eng) Palabras clave: Mathematics Computer programming Algorithms mathematics Numerical analysis Analysis Programming Techniques Computational and Algorithm Problem Complexity Clasificación: 51 Matemáticas Resumen: "Algorithms and Programming" is primarily intended for a first year undergraduate course in programming. Structured in a problem-solution format, the text motivates the student to think through the programming process, thus developing a firm understanding of the underlying theory. Although a moderate familiarity with programming is assumed, the book is easily utilized by students new to computer science. The more advanced chapters make the book useful for a graduate course in the analysis of algorithms and/or compiler construction. New to the second edition are added chapters on suffix trees, games and strategies, and Huffman coding as well as an appendix illustrating the ease of conversion from Pascal to C. The material covers such topics as combinatorics, sorting, searching, queues, grammar and parsing, selected well-known algorithms, and much more. Reviews of the 1st Edition: "The book is addressed both to ambitious students and instructors looking for interesting problems [and] fulfills this task perfectly, especially if the reader has a good mathematical background." — Zentralblatt MATH "This book is intended for students, engineers, and other people who want to improve their computer skills.... The chapters can be read independently. Throughout the book, useful exercises give readers a feeling for how to apply the theory." — Computing Reviews "Overall...the book is well done. I recommend it to teachers and those wishing to sharpen their data structure and compiler skills." — SIGACT News Nota de contenido: Variables, expressions, assignments -- Generation of combinatorial objects -- Tree traversal (backtracking) -- Sorting -- Finite-state algorithms in text processing -- Data types -- Recursion -- Recursive and non-recursive programs -- Graph algorithms -- Pattern matching -- Games analysis -- Optimal coding -- Set representation. Hashing -- Sets, trees, and balanced trees -- Context-free grammars -- Left-to-right parsing (LR) En línea: http://dx.doi.org/10.1007/978-1-4419-1748-5 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33609 Algorithms and Programming : Problems and Solutions [documento electrónico] / Shen, Alexander ; SpringerLink (Online service) . - New York, NY : Springer New York : Imprint: Springer, 2010 . - XII, 272 p : online resource. - (Springer Undergraduate Texts in Mathematics and Technology, ISSN 1867-5506) .
ISBN : 978-1-4419-1748-5
Idioma : Inglés (eng)
Palabras clave: Mathematics Computer programming Algorithms mathematics Numerical analysis Analysis Programming Techniques Computational and Algorithm Problem Complexity Clasificación: 51 Matemáticas Resumen: "Algorithms and Programming" is primarily intended for a first year undergraduate course in programming. Structured in a problem-solution format, the text motivates the student to think through the programming process, thus developing a firm understanding of the underlying theory. Although a moderate familiarity with programming is assumed, the book is easily utilized by students new to computer science. The more advanced chapters make the book useful for a graduate course in the analysis of algorithms and/or compiler construction. New to the second edition are added chapters on suffix trees, games and strategies, and Huffman coding as well as an appendix illustrating the ease of conversion from Pascal to C. The material covers such topics as combinatorics, sorting, searching, queues, grammar and parsing, selected well-known algorithms, and much more. Reviews of the 1st Edition: "The book is addressed both to ambitious students and instructors looking for interesting problems [and] fulfills this task perfectly, especially if the reader has a good mathematical background." — Zentralblatt MATH "This book is intended for students, engineers, and other people who want to improve their computer skills.... The chapters can be read independently. Throughout the book, useful exercises give readers a feeling for how to apply the theory." — Computing Reviews "Overall...the book is well done. I recommend it to teachers and those wishing to sharpen their data structure and compiler skills." — SIGACT News Nota de contenido: Variables, expressions, assignments -- Generation of combinatorial objects -- Tree traversal (backtracking) -- Sorting -- Finite-state algorithms in text processing -- Data types -- Recursion -- Recursive and non-recursive programs -- Graph algorithms -- Pattern matching -- Games analysis -- Optimal coding -- Set representation. Hashing -- Sets, trees, and balanced trees -- Context-free grammars -- Left-to-right parsing (LR) En línea: http://dx.doi.org/10.1007/978-1-4419-1748-5 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33609 Ejemplares
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Título : An Introduction to Modern Mathematical Computing : With Maple™ Tipo de documento: documento electrónico Autores: Jonathan M. Borwein ; SpringerLink (Online service) ; Matthew P. Skerritt Editorial: New York, NY : Springer New York Fecha de publicación: 2011 Colección: Springer Undergraduate Texts in Mathematics and Technology, ISSN 1867-5506 Número de páginas: XVI, 216 p. 86 illus., 81 illus. in color Il.: online resource ISBN/ISSN/DL: 978-1-4614-0122-3 Idioma : Inglés (eng) Palabras clave: Mathematics Computer science simulation mathematics software Computational and Numerical Analysis Mathematical Software Simulation Modeling Math Applications in Science Clasificación: 51 Matemáticas Resumen: Thirty years ago, mathematical computation was difficult to perform and thus used sparingly. However, mathematical computation has become far more accessible due to the emergence of the personal computer, the discovery of fiber-optics and the consequent development of the modern internet, and the creation of Maple™, Mathematica®, and Matlab®. An Introduction to Modern Mathematical Computing: With Maple™ looks beyond teaching the syntax and semantics of Maple and similar programs, and focuses on why they are necessary tools for anyone who engages in mathematics. It is an essential read for mathematicians, mathematics educators, computer scientists, engineers, scientists, and anyone who wishes to expand their knowledge of mathematics. This volume will also explain how to become an “experimental mathematician,” and will supply useful information about how to create better proofs. The text covers material in elementary number theory, calculus, multivariable calculus, introductory linear algebra, and visualization and interactive geometric computation. It is intended for upper-undergraduate students, and as a reference guide for anyone who wishes to learn to use the Maple program En línea: http://dx.doi.org/10.1007/978-1-4614-0122-3 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33214 An Introduction to Modern Mathematical Computing : With Maple™ [documento electrónico] / Jonathan M. Borwein ; SpringerLink (Online service) ; Matthew P. Skerritt . - New York, NY : Springer New York, 2011 . - XVI, 216 p. 86 illus., 81 illus. in color : online resource. - (Springer Undergraduate Texts in Mathematics and Technology, ISSN 1867-5506) .
ISBN : 978-1-4614-0122-3
Idioma : Inglés (eng)
Palabras clave: Mathematics Computer science simulation mathematics software Computational and Numerical Analysis Mathematical Software Simulation Modeling Math Applications in Science Clasificación: 51 Matemáticas Resumen: Thirty years ago, mathematical computation was difficult to perform and thus used sparingly. However, mathematical computation has become far more accessible due to the emergence of the personal computer, the discovery of fiber-optics and the consequent development of the modern internet, and the creation of Maple™, Mathematica®, and Matlab®. An Introduction to Modern Mathematical Computing: With Maple™ looks beyond teaching the syntax and semantics of Maple and similar programs, and focuses on why they are necessary tools for anyone who engages in mathematics. It is an essential read for mathematicians, mathematics educators, computer scientists, engineers, scientists, and anyone who wishes to expand their knowledge of mathematics. This volume will also explain how to become an “experimental mathematician,” and will supply useful information about how to create better proofs. The text covers material in elementary number theory, calculus, multivariable calculus, introductory linear algebra, and visualization and interactive geometric computation. It is intended for upper-undergraduate students, and as a reference guide for anyone who wishes to learn to use the Maple program En línea: http://dx.doi.org/10.1007/978-1-4614-0122-3 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33214 Ejemplares
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Título : An Introduction to Modern Mathematical Computing : With Mathematica® Tipo de documento: documento electrónico Autores: Jonathan M. Borwein ; SpringerLink (Online service) ; Matthew P. Skerritt Editorial: New York, NY : Springer New York Fecha de publicación: 2012 Otro editor: Imprint: Springer Colección: Springer Undergraduate Texts in Mathematics and Technology, ISSN 1867-5506 Número de páginas: XVI, 224 p. 95 illus., 91 illus. in color Il.: online resource ISBN/ISSN/DL: 978-1-4614-4253-0 Idioma : Inglés (eng) Palabras clave: Mathematics Computer science simulation mathematics software Computational and Numerical Analysis Mathematical Software Simulation Modeling Math Applications in Science Clasificación: 51 Matemáticas Resumen: Thirty years ago, mathematical computation was difficult to perform and thus used sparingly. However, mathematical computation has become far more accessible due to the emergence of the personal computer, the discovery of fiber-optics and the consequent development of the modern internet, and the creation of Maple™, Mathematica®, and Matlab®. An Introduction to Modern Mathematical Computing: With Mathematica® looks beyond teaching the syntax and semantics of Mathematica and similar programs, and focuses on why they are necessary tools for anyone who engages in mathematics. It is an essential read for mathematicians, mathematics educators, computer scientists, engineers, scientists, and anyone who wishes to expand their knowledge of mathematics. This volume will also explain how to become an “experimental mathematician,” and will supply useful information about how to create better proofs. The text covers material in elementary number theory, calculus, multivariable calculus, introductory linear algebra, and visualization and interactive geometric computation. It is intended for upper-undergraduate students, and as a reference guide for anyone who wishes to learn to use the Mathematica program. Also by J.M. Borwein and M.B. Skerritt: An Introduction to Modern Mathematical Computing: With Maple™, © 2011, ISBN: 978-1-4614-0121-6, 216 p. and 81 color illustrations Nota de contenido: Preface -- Conventions and Notation -- 1. Number Theory -- 2. Calculus -- 3. Linear Algebra -- 4. Visualisation and Geometry: a Postscript -- Sample Quizzes -- Index -- References.- En línea: http://dx.doi.org/10.1007/978-1-4614-4253-0 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32841 An Introduction to Modern Mathematical Computing : With Mathematica® [documento electrónico] / Jonathan M. Borwein ; SpringerLink (Online service) ; Matthew P. Skerritt . - New York, NY : Springer New York : Imprint: Springer, 2012 . - XVI, 224 p. 95 illus., 91 illus. in color : online resource. - (Springer Undergraduate Texts in Mathematics and Technology, ISSN 1867-5506) .
ISBN : 978-1-4614-4253-0
Idioma : Inglés (eng)
Palabras clave: Mathematics Computer science simulation mathematics software Computational and Numerical Analysis Mathematical Software Simulation Modeling Math Applications in Science Clasificación: 51 Matemáticas Resumen: Thirty years ago, mathematical computation was difficult to perform and thus used sparingly. However, mathematical computation has become far more accessible due to the emergence of the personal computer, the discovery of fiber-optics and the consequent development of the modern internet, and the creation of Maple™, Mathematica®, and Matlab®. An Introduction to Modern Mathematical Computing: With Mathematica® looks beyond teaching the syntax and semantics of Mathematica and similar programs, and focuses on why they are necessary tools for anyone who engages in mathematics. It is an essential read for mathematicians, mathematics educators, computer scientists, engineers, scientists, and anyone who wishes to expand their knowledge of mathematics. This volume will also explain how to become an “experimental mathematician,” and will supply useful information about how to create better proofs. The text covers material in elementary number theory, calculus, multivariable calculus, introductory linear algebra, and visualization and interactive geometric computation. It is intended for upper-undergraduate students, and as a reference guide for anyone who wishes to learn to use the Mathematica program. Also by J.M. Borwein and M.B. Skerritt: An Introduction to Modern Mathematical Computing: With Maple™, © 2011, ISBN: 978-1-4614-0121-6, 216 p. and 81 color illustrations Nota de contenido: Preface -- Conventions and Notation -- 1. Number Theory -- 2. Calculus -- 3. Linear Algebra -- 4. Visualisation and Geometry: a Postscript -- Sample Quizzes -- Index -- References.- En línea: http://dx.doi.org/10.1007/978-1-4614-4253-0 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32841 Ejemplares
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Título : Basic Probability Theory with Applications Tipo de documento: documento electrónico Autores: Mario Lefebvre ; SpringerLink (Online service) Editorial: New York, NY : Springer New York Fecha de publicación: 2009 Colección: Springer Undergraduate Texts in Mathematics and Technology, ISSN 1867-5506 Número de páginas: XVI, 340 p. 50 illus Il.: online resource ISBN/ISSN/DL: 978-0-387-74995-2 Idioma : Inglés (eng) Palabras clave: Mathematics Mathematical statistics Probabilities Applied mathematics Engineering Economic theory Probability Theory and Stochastic Processes Appl.Mathematics/Computational Methods of Statistics in Computer Science Theory/Quantitative Economics/Mathematical Clasificación: 51 Matemáticas Resumen: This book presents elementary probability theory with interesting and well-chosen applications that illustrate the theory. An introductory chapter reviews the basic elements of differential calculus which are used in the material to follow. The theory is presented systematically, beginning with the main results in elementary probability theory. This is followed by material on random variables. Random vectors, including the all important central limit theorem, are treated next. The last three chapters concentrate on applications of this theory in the areas of reliability theory, basic queuing models, and time series. Examples are elegantly woven into the text and over 400 exercises reinforce the material and provide students with ample practice. This textbook can be used by undergraduate students in pure and applied sciences such as mathematics, engineering, computer science, finance and economics. A separate solutions manual is available to instructors who adopt the text for their course Nota de contenido: Preface -- Review of Differential Calculus -- Elementary Probability -- Random Variables -- Random Vectors -- Reliability -- Queueing -- Time Series -- Appendix A: List of Symbols and Abbreviations -- Appendix B: Statistical Tables -- Appendix C: Solutions to 'Solved Exercises' -- Appendix D: Answers to Even-Numbered Exercises -- Appendix E: Answers to Multiple-Choice Questions -- References -- Index En línea: http://dx.doi.org/10.1007/978-0-387-74995-2 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33856 Basic Probability Theory with Applications [documento electrónico] / Mario Lefebvre ; SpringerLink (Online service) . - New York, NY : Springer New York, 2009 . - XVI, 340 p. 50 illus : online resource. - (Springer Undergraduate Texts in Mathematics and Technology, ISSN 1867-5506) .
ISBN : 978-0-387-74995-2
Idioma : Inglés (eng)
Palabras clave: Mathematics Mathematical statistics Probabilities Applied mathematics Engineering Economic theory Probability Theory and Stochastic Processes Appl.Mathematics/Computational Methods of Statistics in Computer Science Theory/Quantitative Economics/Mathematical Clasificación: 51 Matemáticas Resumen: This book presents elementary probability theory with interesting and well-chosen applications that illustrate the theory. An introductory chapter reviews the basic elements of differential calculus which are used in the material to follow. The theory is presented systematically, beginning with the main results in elementary probability theory. This is followed by material on random variables. Random vectors, including the all important central limit theorem, are treated next. The last three chapters concentrate on applications of this theory in the areas of reliability theory, basic queuing models, and time series. Examples are elegantly woven into the text and over 400 exercises reinforce the material and provide students with ample practice. This textbook can be used by undergraduate students in pure and applied sciences such as mathematics, engineering, computer science, finance and economics. A separate solutions manual is available to instructors who adopt the text for their course Nota de contenido: Preface -- Review of Differential Calculus -- Elementary Probability -- Random Variables -- Random Vectors -- Reliability -- Queueing -- Time Series -- Appendix A: List of Symbols and Abbreviations -- Appendix B: Statistical Tables -- Appendix C: Solutions to 'Solved Exercises' -- Appendix D: Answers to Even-Numbered Exercises -- Appendix E: Answers to Multiple-Choice Questions -- References -- Index En línea: http://dx.doi.org/10.1007/978-0-387-74995-2 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33856 Ejemplares
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Título : Differential Equations : A Primer for Scientists and Engineers Tipo de documento: documento electrónico Autores: Christian Constanda ; SpringerLink (Online service) Editorial: New York, NY : Springer New York Fecha de publicación: 2013 Otro editor: Imprint: Springer Colección: Springer Undergraduate Texts in Mathematics and Technology, ISSN 1867-5506 Número de páginas: XV, 263 p. 30 illus Il.: online resource ISBN/ISSN/DL: 978-1-4614-7297-1 Idioma : Inglés (eng) Palabras clave: Mathematics Difference equations Functional and Equations Clasificación: 51 Matemáticas Resumen: Differential Equations: A Primer for Scientists and Engineers is a textbook designed with the needs of today’s student in mind. It is the ideal textbook for a first course in elementary differential equations for future engineers and scientists, including mathematicians. This book is accessible to anyone who has a basic knowledge of precalculus algebra and differential and integral calculus. Its carefully crafted text adopts a concise, simple, no-frills approach to differential equations, which helps students acquire a solid experience in many classical solution techniques. With a lighter accent on the physical interpretation of the results, a more manageable page count than comparable texts, a highly readable style, and over 800 exercises designed to be solved without a calculating device, this book emphasizes the understanding and practice of essential topics in a succinct yet fully rigorous fashion. The book formally splits the "pure" and "applied" parts of the contents by placing the discussion of selected mathematical models in separate chapters. At the end of most of the 230 worked examples, the author provides the Mathematica® commands for verifying the results. The book can be used independently by the average student to learn the fundamentals of the subject, while those interested in pursuing more advanced material can regard it as an easily taken first step on the way to the next level. Additionally, practitioners who encounter differential equations in their professional work will find this text to be a convenient source of reference. Other Springer publications by Christian Constanda: Dude, Can you Count? ISBN: 978-1-84882-538-3; Stationary Oscillations of Elastic Plates, ISBN: 978-0-8176-8340-8. Christian Constanda, MS, PhD, DSc, is the holder of the Charles W. Oliphant Endowed Chair in Mathematical Sciences at the University of Tulsa, USA. He is also the Chairman of the International Consortium on Integral Methods in Science and Engineering (IMSE). Nota de contenido: 1. Introduction -- 2. First Order Equations -- 3. Mathematical Models with First-Order Equations -- 4. Linear Second-Order Equations -- 4. Higher-Order Equations -- 5. Mathematical Models with Second-Order Equations -- 6. Higher-Order Linear Equations -- 7. Systems of Differential Equations -- 8. The Laplace Transformation -- 9. Series Solutions -- A. Algebra Techniques -- B. Calculus Techniques -- C. Table of Laplace Transforms -- D. The Greek Alphabet En línea: http://dx.doi.org/10.1007/978-1-4614-7297-1 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32347 Differential Equations : A Primer for Scientists and Engineers [documento electrónico] / Christian Constanda ; SpringerLink (Online service) . - New York, NY : Springer New York : Imprint: Springer, 2013 . - XV, 263 p. 30 illus : online resource. - (Springer Undergraduate Texts in Mathematics and Technology, ISSN 1867-5506) .
ISBN : 978-1-4614-7297-1
Idioma : Inglés (eng)
Palabras clave: Mathematics Difference equations Functional and Equations Clasificación: 51 Matemáticas Resumen: Differential Equations: A Primer for Scientists and Engineers is a textbook designed with the needs of today’s student in mind. It is the ideal textbook for a first course in elementary differential equations for future engineers and scientists, including mathematicians. This book is accessible to anyone who has a basic knowledge of precalculus algebra and differential and integral calculus. Its carefully crafted text adopts a concise, simple, no-frills approach to differential equations, which helps students acquire a solid experience in many classical solution techniques. With a lighter accent on the physical interpretation of the results, a more manageable page count than comparable texts, a highly readable style, and over 800 exercises designed to be solved without a calculating device, this book emphasizes the understanding and practice of essential topics in a succinct yet fully rigorous fashion. The book formally splits the "pure" and "applied" parts of the contents by placing the discussion of selected mathematical models in separate chapters. At the end of most of the 230 worked examples, the author provides the Mathematica® commands for verifying the results. The book can be used independently by the average student to learn the fundamentals of the subject, while those interested in pursuing more advanced material can regard it as an easily taken first step on the way to the next level. Additionally, practitioners who encounter differential equations in their professional work will find this text to be a convenient source of reference. Other Springer publications by Christian Constanda: Dude, Can you Count? ISBN: 978-1-84882-538-3; Stationary Oscillations of Elastic Plates, ISBN: 978-0-8176-8340-8. Christian Constanda, MS, PhD, DSc, is the holder of the Charles W. Oliphant Endowed Chair in Mathematical Sciences at the University of Tulsa, USA. He is also the Chairman of the International Consortium on Integral Methods in Science and Engineering (IMSE). Nota de contenido: 1. Introduction -- 2. First Order Equations -- 3. Mathematical Models with First-Order Equations -- 4. Linear Second-Order Equations -- 4. Higher-Order Equations -- 5. Mathematical Models with Second-Order Equations -- 6. Higher-Order Linear Equations -- 7. Systems of Differential Equations -- 8. The Laplace Transformation -- 9. Series Solutions -- A. Algebra Techniques -- B. Calculus Techniques -- C. Table of Laplace Transforms -- D. The Greek Alphabet En línea: http://dx.doi.org/10.1007/978-1-4614-7297-1 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32347 Ejemplares
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