This book introduces the mathematics that supports advanced computer programming and the analysis of algorithms. The primary aim of its well-known authors is to provide a solid and relevant base...
A discussion of fundamental mathematical principles from algebra to elementary calculus designed to promote constructive mathematical reasoning.
Presents more than eight hundred entries, six essays, a chronology of notable events in mathematics, a list of associations, and a bibliography that contains Web resources.
Easy-to-use features include: * complete coverage of fractions, decimals, percents, algebra, linear equations, graphs, probability, geometry, and trigonometry * step-by-step solutions to every problem *multiple choice tests to help you ...
Chi - Square Karl Pearson ( 1857–1936 ) Scientists often obtain experimental results that do not agree with those anticipated according to the rules of probability . For example , when tossing a die , if the deviation from expectation ...
This book is for non-believers of all ages.
There is a clear gap between what research has shown to work in teaching math and what happens in schools and at home. This book bridges that gap by turning research findings into practical activities and advice.
[619] Stuart J. Russell and Peter Norvig. Artificial intelligence: A modern approach. Pearson Education, London, second edition, 2003. [319] Sheldon M. Ross. Introduction to probability models. Elsevier/Academic Press, Amsterdam, ...
This groundbreaking text has been augmented with new material and fully updated to prepare students for the new-style MLC exam.
This textbook has been in constant use since 1980, and this edition represents the first major revision of this text since the second edition.