00000nam a22000008i 4500 UP-8028149493838922144 Buklod 20260414172728.0 a r |||| u| ta 260414s2025 flu r b|||| u|eng d 2024006530 9781032288246 (pbk) 9781032288253 (hbk) 23576331 UL-0024 CD Books, Inc. 9,747.00 Rommel Real (Requesting faculty) BSAM-CSM; BSDS-CSM DLC eng rda DLC DLC eng QH323.5 .A445 2025 QH 323.5 A445 2025 Alvey, Christina author. Mathematical biology discrete and differential equations Christina Alvey and Daniel Alvey. First edition. 2408 Boca Raton, FL CRC Press 2025. xii, 366 p. text txt rdacontent unmediated rdamedia volume nc rdacarrier Includes bibliographical references and index. Modeling with discrete equations -- Introduction to difference equations -- Exponential, linear difference, and logistic models -- Fishery models. "This text serves as an exploration of the beautiful topic of mathematical biology through the lens of discrete and differential equations. Intended for students who have completed differential and integral calculus, this book allows students to explore topics such as bifurcation diagrams, nullclines, discrete dynamics, and SIR models for disease spread, which are often reserved for more advanced undergraduate or graduate courses. These exciting topics are sprinkled throughout the text alongside the more typical first and second order linear differential equations and systems of linear differential equations. This class-tested text is written in a conversational, welcoming voice which should help invite students along as they discover the magic of mathematical biology and both discrete and differential equations. A focus is placed on examples with solutions written out step by step, including computational steps, with the goal of being as easy as possible for students to independently follow along. Rich in applications, this text can be used for a semester-long course in either differential equations or mathematical biology. Alternatively, it can serve as a companion text for a two-semester sequence beginning with discrete time systems, extending through a wide array of topics in differential equations, and culminating in systems, SIR models, and other applications"-- Provided by publisher. Biomathematics. Statistical Methods and Experimental Design AMAT131 College of Science and Mathematics, UP Mindanao. Machine Learning I (Supervised) DS171 College of Science and Mathematics, UP Mindanao. Machine Learning 2 (Unsupervised) DS172 College of Science and Mathematics, UP Mindanao. Alvey, Daniel author. FO UPMIN UPMIN-MAIN QH 323.5 A445 2025 Book