Math SAT 800: How to Master the Toughest Problems contains 425 math SAT problems suited for students who are at an advanced level. The chapters in this book will provide ample opportunity to practice only the most difficult problems found on the SAT. The goal of this book is to maximize your score by zeroing in on the most difficult problems that appear on the math section of the SAT. This book differs from other SAT books in that it doesn’t spend time on material that high achieving math students are already familiar with. Therefore, this book provides the most efficient way for advanced students to study for the math SAT. Our web address is www.satmath800.com where the authors can be contacted.

About the Author

Daniel Eiblum, M.S.Ed. holds a BA in Geophysical Sciences from the University of Chicago and earned an Masters in Education from Johns Hopkins University. He has tutored math SAT for 15 years. Mike Forman, M.S. has both a Bachelor of Science degree and a Master of Science degree in Physics and Applied Math from the University of Massachusetts. He was a professional mathematician and physicist at NASA for 40 years and has published in several scientific journals. He bagan tutoring math and physics in 2005 including pre-algebra through calculus and Math SAT preparation. Nargess Memarsadeghi has a Ph.D. in Computer Science from the University of Maryland at College Park. She tutored for the Math Learning Center of Montgomery College in Germantown MD. Matthew Konicki, M.A. has a Masters of arts in Mathematics from the University of Maryland at College Park. He has been a mathematics instructor at the University of Maryland since 2004, teaching various math courses including statistics and calculus. He as also been a mathematics instructor at Georgetown University, The University of Delaware, American University, and Catholic University. He is a member of the Mathematical Association of America. Elnatan Reisner has a BS in Computer Science and Mathematics from Brandeis University and is currently pursuing a Ph.D. in Computer Science at the University of Maryland. He worked as an applied research mathematician at the Department of Defense and a researcher at the Center for Computing Sciences in Bowie, MD. He earned a Computer Science Prize for Outstanding Achievement in 2005 at Brandeis University.

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