Mathematics books

An accurate and easy-to-read resource for students in medical dosage calculation classes Medical Dosage Calculations...  Read More >>

Neural networks and neural dynamics are powerful approaches for the online solution of mathematical problems arising...  Read More >>

Thermoforming Modeling and Simulation: A Multiphysics Approach concentrates on the modeling and optimization of...  Read More >>

Das Lehrbuch bietet einen breiten Einblick in analytische und numerische Berechnungsmöglichkeiten von Ableitungen...  Read More >>

Proceedings capturing leading research from virtual conferences at Columbia University, spanning integrable systems,...  Read More >>

Selected papers from a virtual AMS Special Session in memory of a revered scholar explore inverse problems across...  Read More >>

Inverse problems are those where, from """"external"""" observations of a hidden """"black box"""" system (a patient's...  Read More >>

Deep learning uses multi-layer neural networks to model complex data patterns. Large models-with millions or even...  Read More >>

Offers a systematic methodology for solving nonlinear ordinary differential equations (ODEs) using power series,...  Read More >>

Delves into the interplay between complex analysis and quantum probability theory, this text bridges classical concepts...  Read More >>

Explores the captivating mechanics behind transforming Earth's surface into an accurate flat representation. Unravels...  Read More >>

Research presented in Grenoble, France illuminates fractal geometry’s role in pure and applied mathematics. Advances...  Read More >>

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Features a concept-based approach, multiple presentation methods, and interesting and relevant applications that...  Read More >>

Provides students with a glimpse into the nature of mathematics, and how it is used to understand our world. This...  Read More >>

Nonlinear models are indispensable in modern finance, yet their reliance on numerical root-finding methods introduces...  Read More >>

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Inverse problems are those where, from """"external"""" observations of a hidden """"black box"""" system (a patient's...  Read More >>

Deep learning uses multi-layer neural networks to model complex data patterns. Large models-with millions or even...  Read More >>

By taking advantage of the development of Hilbert space methods in partial differential equations, this textbook...  Read More >>

Nuclei will play a prominent role in searches for physics beyond the standard model as the active material in experiments,...  Read More >>

This book introduces a unified framework that integrates various data-driven information dynamics approaches to...  Read More >>

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This book is unique in the current scenario because it provides a complete treatment of modern Brouwer and of Leray-Schauder...  Read More >>