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Boekhandel Douwes Den Haag

AK Peters/CRC Recreational Mathematics Series

LOVE! VALOUR! EQUATIONS!

Mathematics of the Couple

Laurent Pujo-Menjouet

LOVE! VALOUR! EQUATIONS!

AK Peters/CRC Recreational Mathematics Series

LOVE! VALOUR! EQUATIONS!

Mathematics of the Couple

AK Peters/CRC Recreational Mathematics Series: LOVE! VALOUR! EQUATIONS!

Verschijnt binnenkort

 

What if the solution to our romantic troubles lay in the very subject most of us once dreaded in school? If x and y could save your relationship, would you dare to step into the mind of a mathematician to solve matters of the heart?

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Beschrijving AK Peters/CRC Recreational Mathematics Series: LOVE! VALOUR! EQUATIONS!

What if the solution to our romantic troubles lay in the very subject most of us once dreaded in school? If x and y could save your relationship, would you dare to step into the mind of a mathematician to solve matters of the heart?

ISBN
9781041281696
Pagina's
146
Verschijnt
Serie
AK Peters/CRC Recreational Mathematics Series
Rubriek
Wiskunde algemeen
Druk
1
Uitvoering
Hardback
Taal
Engels
Uitgever
Taylor & Francis Ltd

Computer-Aided Kinematics and Dynamics of Mechanical Systems

This open access book presents a new approach to kinematics and dynamics of a broad spectrum of mechanical systems that is based on modern analytical (differential geometry) and computational (differential equation) solution methods that enable treatment of challenging applications that conventional methods are unable to reliably simulate.

Convergence in Measure and in Category

Here, convergence in a category is *-convergence with respect to convergence except on a set of first category, just as convergence in measure is *-convergence with respect to convergence almost everywhere.

Nonparametric Inference

Provides a comprehensive and balanced treatment of both classical and modern methods in nonparametric inference. It begins with foundational topics such as order statistics, ranks, and confidence intervals for medians and percentiles, before progressing to distribution-free tests, robust estimators, regression quantiles, and U-statistics.

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