國立虎尾科技大學 |

Applied calculus with R

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Applied calculus with R/ by Thomas J. Pfaff.
作者:	Pfaff, Thomas J.
出版者:	Cham :Springer International Publishing : : 2023.,
面頁冊數:	xiv, 532 p. :ill., digital ; : 24 cm.;
Contained By:	Springer Nature eBook
標題:	Stochastic Calculus. -
電子資源:	https://doi.org/10.1007/978-3-031-28571-4
ISBN:	9783031285714

Applied calculus with R
Pfaff, Thomas J.

Applied calculus with R[electronic resource] /by Thomas J. Pfaff. - Cham :Springer International Publishing :2023. - xiv, 532 p. :ill., digital ;24 cm.

A Brief Introduction to R -- Describing a Graph -- The Function Gallery -- I: Change and the Derivative -- How Fast is CO2 Increasing? -- The Idea of the Derivative -- Formulas Quantifying Change -- The Microscope Equation -- Successive Approximations to Estimate Derivatives -- The Derivative Graphically -- The Formal Derivative as a Limit -- Basic Derivative Rules -- Produce Rule -- Quotient Rule -- Chain Rule -- Derivatives with R -- End Behavior of a Function - L'Hospital's Rule -- II: Applications of the Derivative -- How Do We Know the Shape of a Function? -- Finding Extremes -- Optimization -- Derivatives of Functions of Two Variables -- Related Rates -- Surge Function -- Differential Equations - Preliminaries -- Differential Equations - Population Growth Models -- Differential Equations - Predator Prey -- Differential equations - SIR Model -- Project: The Gini Coefficient - Prelude to Section III -- III: Accumulation and the Integral -- Area Under Curves -- The Accumulation Function -- The Fundamental Theorem of Calculus -- Techniques of Integration - The u Substitution -- Techniques of Integration - Integration by Parts -- IV: Appendices - Algebra Review -- Algebra Review - Functions and Graphs -- Algebra Review - Adding and Multiplying Fractions -- Algebra Review - Exponents -- Algebra Review - Lines -- Algebra Review - Expanding, Factoring, and Roots -- Algebra Review - Function Composition -- Glossary -- Answers to Odd Problems -- R Code for Figures.

This textbook integrates scientific programming with the use of R and uses it both as a tool for applied problems and to aid in learning calculus ideas. Adding R, which is free and used widely outside academia, introduces students to programming and expands the types of problems students can engage. There are no expectations that a student has any coding experience to use this text. While this is an applied calculus text including real world data sets, a student that decides to go on in mathematics should develop sufficient algebraic skills so that they can be successful in a more traditional second semester calculus course. Hopefully, the applications provide some motivation to learn techniques and theory and to take additional math courses. The book contains chapters in the appendix for algebra review as algebra skills can always be improved. Exercise sets and projects are included throughout with numerous exercises based on graphs.

ISBN: 9783031285714

Standard No.: 10.1007/978-3-031-28571-4doiSubjects--Topical Terms:

1388595
Stochastic Calculus.

LC Class. No.: QA303.5.D37 / P43 2023

Dewey Class. No.: 515.0285

Applied calculus with R
LDR:03394nam a2200325 a 4500 001 1105997
003 DE-He213
005 20230603223343.0
006 m d
007 cr nn 008maaau
008 231013s2023 sz s 0 eng d
020 $a 9783031285714 $q (electronic bk.)
020 $a 9783031285707 $q (paper)
024 7 $a 10.1007/978-3-031-28571-4 $2 doi
035 $a 978-3-031-28571-4
040 $a GP $c GP
041 0 $a eng
050 4 $a QA303.5.D37 $b P43 2023
072 7 $a PBT $2 bicssc
072 7 $a MAT029000 $2 bisacsh
072 7 $a PBT $2 thema
082 0 4 $a 515.0285 $2 23
090 $a QA303.5.D37 $b P523 2023
100 1 $a Pfaff, Thomas J. $3 1415361
245 1 0 $a Applied calculus with R $h [electronic resource] / $c by Thomas J. Pfaff.
260 $a Cham : $c 2023. $b Springer International Publishing : $b Imprint: Springer,
300 $a xiv, 532 p. : $b ill., digital ; $c 24 cm.
505 0 $a A Brief Introduction to R -- Describing a Graph -- The Function Gallery -- I: Change and the Derivative -- How Fast is CO2 Increasing? -- The Idea of the Derivative -- Formulas Quantifying Change -- The Microscope Equation -- Successive Approximations to Estimate Derivatives -- The Derivative Graphically -- The Formal Derivative as a Limit -- Basic Derivative Rules -- Produce Rule -- Quotient Rule -- Chain Rule -- Derivatives with R -- End Behavior of a Function - L'Hospital's Rule -- II: Applications of the Derivative -- How Do We Know the Shape of a Function? -- Finding Extremes -- Optimization -- Derivatives of Functions of Two Variables -- Related Rates -- Surge Function -- Differential Equations - Preliminaries -- Differential Equations - Population Growth Models -- Differential Equations - Predator Prey -- Differential equations - SIR Model -- Project: The Gini Coefficient - Prelude to Section III -- III: Accumulation and the Integral -- Area Under Curves -- The Accumulation Function -- The Fundamental Theorem of Calculus -- Techniques of Integration - The u Substitution -- Techniques of Integration - Integration by Parts -- IV: Appendices - Algebra Review -- Algebra Review - Functions and Graphs -- Algebra Review - Adding and Multiplying Fractions -- Algebra Review - Exponents -- Algebra Review - Lines -- Algebra Review - Expanding, Factoring, and Roots -- Algebra Review - Function Composition -- Glossary -- Answers to Odd Problems -- R Code for Figures.
520 $a This textbook integrates scientific programming with the use of R and uses it both as a tool for applied problems and to aid in learning calculus ideas. Adding R, which is free and used widely outside academia, introduces students to programming and expands the types of problems students can engage. There are no expectations that a student has any coding experience to use this text. While this is an applied calculus text including real world data sets, a student that decides to go on in mathematics should develop sufficient algebraic skills so that they can be successful in a more traditional second semester calculus course. Hopefully, the applications provide some motivation to learn techniques and theory and to take additional math courses. The book contains chapters in the appendix for algebra review as algebra skills can always be improved. Exercise sets and projects are included throughout with numerous exercises based on graphs.
650 2 4 $a Stochastic Calculus. $3 1388595
650 2 4 $a Mathematical Applications in Computer Science. $3 815331
650 1 4 $a Mathematical Statistics. $3 1366363
650 0 $a R (Computer program language) $3 679069
650 0 $a Calculus $x Data processing. $3 907550
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-031-28571-4
950 $a Mathematics and Statistics (SpringerNature-11649)