Mathematical Methods for Life Sciences / (Record no. 93042)

MARC details
000 -LEADER
fixed length control field 04278nam a22002177a 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250610110050.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781032380582
040 ## - CATALOGING SOURCE
Language of cataloging LCC
Transcribing agency HS LRC
050 ## - LIBRARY OF CONGRESS CALL NUMBER
Classification number QH 323.5
Item number .B622 2024
245 ## - TITLE STATEMENT
Title Mathematical Methods for Life Sciences /
Statement of responsibility, etc. Bisi, Cinzia --
250 ## - EDITION STATEMENT
Edition statement 1st edition.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc. Boca Raton, Florida, USA :
Name of publisher, distributor, etc. CRC PRESS,
Date of publication, distribution, etc. (c) 2024.
300 ## - PHYSICAL DESCRIPTION
Extent xiii, 231p. ;
Other physical details illustrations :
Dimensions 23cm.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliography.
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note 1. Functions in applied sciences. 1.1. The concept of function. 1.2. Linear functions. 1.3. Polynomial functions. 1.4. Rational functions and algebraic functions. 1.5. The exponential and logarithmic functions. 1.6. Malthusian Law. 1.7. Elementary trigonometric functions. 1.8. Exercises with solutions. 1.9. Suggested Exercises. 2. Limits and Derivatives. 2.1. Limits. 2.2. Properties of limits and standard limits. 2.3. Indeterminate forms. 2.4. Continuity. 2.5. Derivative of a function. 2.6. Derivability and Continuity. 2.7. De L’Hopital’s Rule. 2.8. Derivative of the Inverse Function. 2.9. Exercises with solutions. 2.10. Suggested Exercises. 2.11. Appendix: Derivation rules. 2.12. Appendix: Derivatives. 2.13. Appendix: Theorems on limits. 3. Applications of the derivative. 3.1. The linear approximation. 3.2. The derivative as rate of change. 3.3. Local Maxima and Minima. 3.4. Graph sketching. 3.5. Optimization. 3.6. Exercises with SolutionsSuggested Exercises. 3.7. Appendix: Theorems of differential calculus. 4. Integrals. 4.1. The Definite Integral. 4.2. Properties of the definite integral. 4.3. The Fundamental Theorem of Calculus. 4.4. Integration by substitution. 4.5. Integration by parts. 4.6. Integration of rational functions. 4.7. Integration of trigonometric functions. 4.8. Applications. 4.9. Exercises with solutions. 4.10. Suggested Exercises. 4.11. Appendix: Indefinite integrals. 4.12. Appendix: Theorems on integral calculus. 5. First order differential equations. 5.1. First order equations. 5.2. The Cauchy problem. 5.3. Direction field. 5.4. Separable Equations. 5.5. Newton’s law of cooling. 5.6. Linear equations. 5.7. Mixing problems. 5.8. Malthusian laws and population dynamics. 5.9. Homogeneous equations. 5.10. Autonomous differential equations. 5.11. The Logistics Model. 5.12. Solution of the logistic equation. 5.13. Exercises with solutions. 5.14. Suggested exercises. 6. Second order differential equations. 6.1. Cauchy’s Theorem. 6.2. The Wronskian. 6.3. Homogeneous linear equations. 6.4. Linear equations. 6.5. Linear equations with constant coefficients. 6.6. Equations with constant coefficients: the general case. 6.7. Simple harmonic motion. 6.8. Harmonic motion with external force. 6.9. Damped harmonic motion. 6.10. Exercises with Solutions. 6.11. Suggested Exercises. 6.12. Appendix: Linear Systems. 7. Elementary Statistics. 7.1. Populations and Variables. 7.2. Absolute Frequencies and Percentages. 7.3. Graphical representation of data. 7.4. Mode, Average, and Median. 7.5. Variance and standard deviation. 7.6. Quartiles and Interquartile Range. 7.7. Normal Distribution. 7.8. Exercises with solutions. 7.9. Suggested Exercises. A. Solutions of some exercises.
520 ## - SUMMARY, ETC.
Summary, etc. Mathematical Methods for Life Sciences introduces calculus, and other key mathematical methods, to students from applied sciences (biology, biotechnology, chemistry, pharmacology, material science, etc). Special attention is paid to real-world applications, and for every concept, many concrete examples are provided. The book does not aim to enable students to prove theorems and construct elaborate proofs, but rather to leave students with a clear understanding of the practical mathematics behind the power of optimization, dynamical systems, and all the predictive tools these theories give rise to.<br/><br/>Features<br/><br/>No prerequisites beyond high school algebra and geometry<br/>Could serve as the primary text for a first-year course in mathematical methods for biology, biotechnology, or other life sciences<br/>Easy to read: the students may skip all the proofs and go directly to key examples and applications
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Source of heading or term Biological systems -- Mathematical models.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Shelving location Date acquired Source of acquisition Inventory number Total Checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
    Library of Congress Classification     Circulation DLSU-D HS Learning Resource Center DLSU-D HS Learning Resource Center Circulation 09/11/2024 HSLRC SY2023-2024 001501   QH 323.5 .B622 2024 3HS00000001501 06/10/2025 001501 06/10/2025 Books