McGraw-Hill's 500 College Linear Algebra Questions to Know by Test Day
Series: STUDY GUIDE;
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Product details:
- Publisher McGraw Hill
- Date of Publication 16 September 2012
- ISBN 9780071797993
- Binding Paperback
- No. of pages192 pages
- Size 228x154x12 mm
- Weight 263 g
- Language English 0
Categories
Long description:
500 Ways to Achieve Your Best Grades
We want you to succeed on your college linear algebra midterm and final exams. That's why we've selected these 500 questions to help you study more effectively, use your preparation time wisely, and get your best grades. These questions and answers are similar to the ones you'll findon a typical college exam, so you will know what to expect on test day. Each question includes explanations for right and wrong answers for your full understanding of the concepts. Whether you have been studying all year or are doing a last-minute review, McGraw-Hill's 500 Linear Algebra Questions will help you achieve the final grade you desire.
Sharpen your subject knowledge and build yourtest-taking confidence with:
- 500 essential college linear algebra questions
- Complete answer explanations
- Coverage of linear algebra from spatial vectors to multilinear products
500 Ways to Achieve Your Best Grades
We want you to succeed on your college linear algebra midterm and final exams. That's why we've selected these 500 questions to help you study more effectively, use your preparation time wisely, and get your best grades. These questions and answers are similar to the ones you'll findon a typical college exam, so you will know what to expect on test day. Each question includes explanations for right and wrong answers for your full understanding of the concepts. Whether you have been studying all year or are doing a last-minute review, McGraw-Hill's 500 Linear Algebra Questions will help you achieve the final grade you desire.
Sharpen your subject knowledge and build yourtest-taking confidence with:
- 500 essential college linear algebra questions
- Complete answer explanations
- Coverage of linear algebra from spatial vectors to multilinear products
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