Spin, Speed and Strategy: A Mathematical Guide to Table Tennis (Hardcover) (ISBN-13: 9783032255174)

Vendor: Xiu Ji
Product type: Books
Format: Hardcover
$159.99
$159.99
$159.99
Subtotal: $159.99
WR Book House

Spin, Speed and Strategy: A Mathematical Guide to Table Tennis

$159.99

Spin, Speed and Strategy: A Mathematical Guide to Table Tennis

$159.99
Format: Hardcover
Description
Description
x
This book presents a cohesive exploration of table tennis through the Table Tennis Notation System (TTNS), a physics-grounded framework that encodes strokes, serves, tactics and entire rallies using binary codes and symbolic notation. It shows how complex ball-bat interactions, governed by mechanics, spin and energy transfer, can be captured with precision, enabling meaningful comparison of playing styles and revealing the underlying logic of the sport.

The text moves from the engineering of blades, rubbers and ball behaviour to the dynamics of rhythm, spin, speed and tactical interaction, before extending these ideas into coded representations of play. It then develops practical applications in coaching, training, performance analysis and artificial intelligence.

The result is an integrated framework that links mechanical execution to strategic intent, offering players, coaches, analysts and researchers a clear and systematic understanding of the game 's blend of power, touch, control, creativity and strategy.



Author: Xiu Ji
ISBN-10: 3032255171
ISBN-13: 9783032255174
Publisher: Springer
Language: English
Published: 07/30/2026
Pages: 166
Format: Hardcover
By Xiu Ji
By Xiu Ji
x

Dr. Xiu Ji holds a BEng in Mechanical Engineering, an MEng in Cybernetics, and a Ph.D. in Artificial Intelligence. She is a senior lecturer in Engineering at Manchester Metropolitan University, where she teaches across Physics, Mathematics, Control Engineering Systems, the Internet of Things, and advanced topics in Industry 4.0, including PROFIBUS and PROFINET automation systems.

Dr. Ji is a senior fellow of the Higher Education Academy (SFHEA), a Chartered Engineer (CEng) with the UK Engineering Council, and a Member of the Institution of Engineering and Technology (MIET). Her academic career combines engineering practice with innovative teaching and research, and she has led modules ranging from engineering mathematics to large-scale group design projects. Her expertise spans the integration of artificial intelligence with engineering education

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