This edition features the exact same content as the traditional text in a convenient, three-hole- punched, loose-leaf version. Books à la Carte also offer a great value–this format costs significantly less than a new textbook. Haeussler, Paul, and Wood establish a strong algebraic foundation that sets this text apart from other applied mathematics texts, paving the way for readers to solve real-world problems that use calculus. Emphasis on developing algebraic skills is extended to the exercises–including both drill problems and applications. The authors work through examples and explanations with a blend of rigor and accessibility. In addition, they have refined the flow, transitions, organization, and portioning of the content over many editions to optimize learning for readers. The table of contents covers a wide range of topics efficiently, enabling readers to gain a diverse understanding.
This classic book continues to provide a foundation for mathematical literacy in business, economics, and the life and social sciences.
For courses in Mathematics for Business and Mathematical Methods in Business. This classic text continues to provide a mathematical foundation for students in business, economics, and the life and social sciences.
Calculus for Business, Economics, and the Social and Life Sciences introduces calculus in real-world contexts and provides a sound, intuitive understanding of the basic concepts students need as they pursue...
Qualitative Research Methods - collection, organization, and analysis strategies This text shows novice researchers how to design, collect, and analyze qualitative data and then present their results to the scientific...
So his gift to us is not just a new understanding of how the world works but a new way of apprehending it. A brilliant work on both scores.
The second edition of Physics for the Life Sciences brings the beauty of physics to life.
This accessible text is organized into two parts: (1) A Library of Elementary Functions (Chapters 1-2) and (2) Calculus (Chapters 3-9).
Text as Data shows how to combine new sources of data, machine learning tools, and social science research design to develop and evaluate new insights.
An obvious choice, as long as the added constraint introduces a slack variable, is this slack variable along with the basic variables from the final tableau of the original problem. Here then we can use as basic variables x4, x2, ...
The 2015 International Congress on Economics, Social Sciences and Information Management (ICESSIM 2015), held 28-29 March 2015 in Bali, Indonesia, aimed to provide a platform for the sharing of valuable knowledge and experience in the ...