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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 ...
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 ...
This rich collection of fully worked problems in many areas of mathematics covers all the important subjects students are likely to encounter in their courses ...
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 ...
A fun and stunningly illustrated introduction to the art of linear optimization
Linear optimization is a powerful modeling method for discovering the best solution to ...
"Equations are more important to me, because politics is for the present, but an equation is something for eternity." - Albert Einstein. In this original work ...
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 ...
Hilbert's tenth problem is one of 23 problems proposed by David Hilbert in 1900 at the International Congress of Mathematicians in Paris. These problems ...
Designed to offer a broad perspective on spectral estimations techniques and their implementation, this text provides theoretical background and review material in linear systems, Fourier ...
This original 2018 work, based on the author's many years of teaching at Harvard University, examines mathematical methods of value and importance to advanced ...
Concrete Mathematics is a blending of CONtinuous and disCRETE mathematics.
"More concretely," the authors explain, "it is the controlled manipulation of mathematical formulas, using a ...
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 ...
