"Applied Mathematics: A Computational Approach aims to provide a basic and self-contained introduction to Applied Mathematics within a computational environment. The book is aimed at practitioners and researchers interested in modelling real world applications and verifying the results - guiding readers from the mathematical principles involved through to the completion of the practical, computational task"--
Applied Mathematics: A Computational Approach aims to provide a basic and self-contained introduction to Applied Mathematics within a computational environment. The book is aimed at practitioners and researchers interested in modeling real-world applications and verifying the results guiding readers from the mathematical principles involved through to the completion of the practical, computational task.
Features
- Provides a step-by-step guide to the basics of Applied Mathematics with complementary computational tools
- Suitable for applied researchers from a wide range of STEM fields
- Minimal pre-requisites beyond a strong grasp of calculus.
This book aims to provide a basic and self-contained introduction to Applied Mathematics within a computational environment. The book is aimed at practitioners and researchers interested in modelling real world applications and verifying the results.
Recenzijos
Impressively well written, organized and presented for both the student and the professional, "Applied Mathematics: A Computational Approach" is an ideal and unreservedly recommended addition to personal, professional, and college/university library Applied Mathematics collections and as a text book for Applied Mathematics curriculum studies lists.
Midwest Book Review
1. First Notes on Real Functions. 1.1. Introduction. 1.2. A Function of
Real Numbers. 1.3. The Cost Function. 1.4. Function Representation in Table
and Graphic. 1.5. Proofs and Mathematical Reasoning. 1.6. The Inverse
Rationale. 1.7. Discussion of Results. 1.8. Concluding Remarks.
2. Sequences
of Real Numbers. 2.1. Introduction. 2.2. Preliminary Notions. 2.3. Limit and
Convergence of a Sequence. 2.4. Theorems About Sequences. 2.5. Study of
Important Sequences. 2.6. Notes on Numbers Computation. 2.7. Concluding
Remarks.
3. Limit of a Function. 3.1. Introduction. 3.2. Notions About
Function Limits. 3.3. Lateral Limits at a Point the Extended Cost Function.
3.4. Properties of Function Limits. 3.5. Remarkable Limits. 3.6. Concluding
Remarks.
4. Continuity. 4.1. Introduction. 4.2. Continuity at a Point. 4.3.
Continuity on a Range. 4.4. Properties of Continuous Functions. 4.5. Theorems
about Continuous Functions. 4.6. Roots of Non-linear Equations. 4.7.
Concluding Remarks.
5. Derivative of a Function. 5.1. Introduction. 5.2.
Derivatives and Geometric Interpretation. 5.3. Derivation Rules. 5.4.
Derivation of Important Functions. 5.5. Derivative of Inverse Function. 5.6.
Derivatives of Different Orders. 5.7. Concluding Remarks.
6. Sketching
Functions and Important Theorems. 6.1. Introduction. 6.2. Important Theorems
on Differentiable Functions. 6.3. Maxima and Minima. 6.4. Asymptotes. 6.5.
Sketching the Extended Cost Function. 6.6. Other Important Applications. 6.7.
Concluding Remarks.
7. First Steps on Integral Sums. 7.1. Introduction. 7.2.
Integral Sum and Geometric Interpretation. 7.3. Calculation of Areas. 7.4.
Integral Sums. 7.5. Concluding Remarks.
8. Indefinite Integral. 8.1.
Introduction. 8.2. Indefinite Integral. 8.3. Properties of Indefinite
Integral. 8.4. General Methods of Integration. 8.5. Specific Methods of
Integration. 8.6. Concluding Remarks.
9. Definite Integral. 9.1.
Introduction. 9.2. Properties and Theorems. 9.3. The Fundamental Theorems of
Calculus. 9.4. Applications to the Cost Function. 9.5. Area Calculations.
9.6. Improper Integrals. 9.7. Concluding Remarks.
10. Series. 10.1.
Introduction. 10.2. Basic Notions about Series. 10.3. Theorems and
Applications. 10.4. Convergence Criteria for Non-Negative Series. 10.5.
Non-Positive and Alternating Series. 10.6. Function Series. 10.7. Power
Series. 10.8. Taylor Series. 10.9. Concluding Remarks.
Joćo Luķs de Miranda is currently a Professor at ESTG-Escola Superior de Tecnologia e Gestćo (IPPortalegre) and a Researcher in Optimization methods and Process Systems Engineering (PSE) at CERENA-Centro de Recursos Naturais e Ambiente (IST/ULisboa). He has been teaching for more than 25 years in the field of Mathematics (e.g., Calculus, Operations Research-OR, Management Science-MS, Numerical Methods, Quantitative Methods, Statistics) and has authored/edited several publications in Optimization, PSE, and education subjects in engineering and OR/MS contexts. Joćo Luķs de Miranda is addressing the research subjects through international cooperation in multidisciplinary frameworks, and is currently serving on several boards/committees at national and European level.
