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The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are ...
A lush volume filled with the gorgeous illustrations of renowned artist Rafael Araujo, and is the seminal golden ratio keepsake. From the pyramids of Giza ...
The moment problem in mathematics focuses on a measure within a sequence over a temporal period. Issues associated with the moment problem involve probability theory ...
This survey of the most important properties of the Chebyshev polynomials encompasses several areas of mathematical analysis: interpolation theory, orthogonal polynomials, approximation theory, numerical integration ...
This original work discusses mathematical methods needed by undergraduates in the United States and Canada preparing for competitions at the level of the International Mathematical ...
"An elegant piece of work, suitable as a text for the beginning student as well as pleasant and informative reading for the mature mathematician." - Scripta ...
An outstanding introduction to tensor analysis for physics and engineering students, this text admirably covers the expected topics in a careful step-by-step manor. In addition ...
Requiring only an elementary knowledge of ordinary differential equations, this concise text is dedicated to helping engineering students solve problems in their field involving partial ...
This enthusiastically reviewed text, which assumes one year of high school algebra and one of plane geometry, provides a unified treatment of algebra, analytic geometry ...
This highly regarded text is directed toward advanced undergraduates and graduate students in mathematics who are interested in developing a firm foundation in the theory ...
This brief modern introduction to the subject of ordinary differential equations emphasizes stability theory. Concisely and lucidly expressed, it is intended as a supplementary text ...
This introductory treatment of theory, proof techniques, and related concepts is designed for undergraduate courses. Topics include propositional logic, quantifiers, sets, functions, relations, mathematical induction ...
This concise text introduces numerical analysis as a practical, problem-solving discipline. The three-part presentation begins with the fundamentals of functional analysis and approximation theory. Part ...
