The Bulletin of the American Mathematical Society acclaimed this text as "a welcome addition" to the literature of nonstandard analysis, …
Focusing on discrete models across a variety of biological subdisciplines, this introductory textbook includes linear and non-linear models of populations, …
Mathematical Models in Biology is an introductory book for readers interested in biological applications of mathematics and modeling in biology. …
This book tells what we knew about the mathematics of epidemics up until 1990. The differential equations (beginning with Bernoulli …
Nice book, in great condition and it got in the right place at the right time.
Mathematical Foundations for Signal Processing, Communications, and Networking describes mathematical concepts and results important in the design, analysis, and optimization …
A research mathematician/puzzle maven shares some 100 of the brain-teasers relevant to different areas of the field that he has …
Over a period of 25 years as author of the Mathematical Games column for Scientific American, Martin Gardner devoted a …
The noted expert selects 70 of his favorite "short" puzzles, including such mind-bogglers as The Returning Explorer, The Mutilated Chessboard, …
Knowing that the most exciting math is not taught in school, Professor Ian Stewart has spent years filling his cabinet …
John Allen Paulos cleverly scrutinizes the mathematical structures of jokes, puns, paradoxes, spoonerisms, riddles, and other forms of humor, drawing …
This radical, profoundly scholarly book explores the purposes and nature of proof in a range of historical settings. It overturns …
Eighty years ago, L. S. Vygotsky complained that psychology was misled in studying thought independent of emotion. This situation has …
This book compiles and synthesizes existing research on teachers’ use of mathematics curriculum materials and the impact of curriculum materials …
This book surveys and examines different approaches and practices that contribute to the changes in mathematics instruction, including (1) innovative …
This is a textbook for pre-service elementary school teachers and for current teachers who are taking professional development courses. By …
Continuing the author’s previous work on modeling, this book presents the most recent advances in high-order predictive modeling. The author …
Intends to bring out some of the most important concepts associates with the theoretical aspects. This book can help the …
The relation between teaching and research has been a perennial theme inacademia as well as the Oersted Lectures, with no …
Math for Deep Learning provides the essential math you need to understand deep learning discussions, explore more complex implementations, and …
A comprehensive guide to getting well-versed with the mathematical techniques for building modern deep learning architectures Key Features Understand linear …
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