Number Training Your Brain: Teach Yourself

Is this the right book for me?

Train your brain to be quicker, sharper and more acute by challenging yourself with these puzzles and games.
This book does much more than give you the skills to tackle maths with confidence - instead it shows you how, by learning to solve practical problems and perfecting your mental arithmetic, you can strengthen all your key thinking skills and astonish your friends and family. This is the ultimate mental workout - and the only one to show you how these fun and diverting number games will actually make you smarter, quicker and more acute than any of your peers.


Number Training Your Brain includes:

Part 1 - Thinking about numbers
Chapter 1: Mathematical minds: the story so far
Chapter 2: Adding skill, subtracting stress
Chapter 3: Multiply your mind power: divide and conquer
Chapter 4: Bits and pieces

Part two - Thinking about everything
Chapter 5: Shape up your thinking
Chapter 6: Measurable improvements
Chapter 7: Chances to shine
Chapter 8: The formula for success
Chapter 9: Think like a mathematician
Chapter 10: Big maths, big challenges


Learn effortlessly with a new easy-to-read page design and interactive features:

Not got much time?
One, five and ten-minute introductions to key principles to get you started.

Author insights
Lots of instant help with common problems and quick tips for success, based on the author's many years of experience.

Test yourself
Tests in the book and online to keep track of your progress.

Extend your knowledge
Extra online articles to give you a richer understanding of the subject.

Five things to remember
Quick refreshers to help you remember the key facts.

Try this
Innovative exercises illustrate what you've learnt and how to use it.

Jonathan Hancock is a teacher and broadcaster. In 1994 he became the World Memory Champion; he is also a learning skills consultant and has written numerous books

Jon Chapman is Professor of Mathematics at Oxford University. He specialises in Applied Mathematics and mathematical modelling, has held visiting positions at a number of leading institutions and has received several prizes for his scholarship