For more than 50 years, SIAM books have been a leading source of knowledge for the world’s
applied mathematics and computational science communities. SIAM’s line-up of stellar, prize-winning authors and titles that address
both timely and fundamental topics have made SIAM books indispensible to researchers, faculty, and students around the world. Now,
for the first time, almost 400 books are available for institutions to offer to their users electronically.
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Generalized Concavity: Classics in Applied Mathematics
Originally published in 1988, this enduring text remains the most comprehensive book on generalized convexity and concavity.
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ℒ1 Adaptive Control Theory: Guaranteed Robustness with Fast Adaptation
This book presents a comprehensive overview of the recently developed ℒ1 adaptive control theory, including detailed proofs of the main results.
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The Linear Sampling Method in Inverse Electromagnetic Scattering
The linear sampling method is the oldest and most developed of the qualitative methods in inverse scattering theory.
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Nonlinear Programming: Concepts, Algorithms, and Applications to Chemical Processes
This book addresses modern nonlinear programming (NLP) concepts and algorithms, especially as they apply to challenging applications...
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Nonlinear Waves in Integrable and Nonintegrable Systems
Nonlinear Waves in Integrable and Nonintegrable Systems presents cutting-edge developments in the theory and experiments of nonlinear waves.
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Normal Approximation and Asymptotic Expansions
Although Normal Approximation and Asymptotic Expansions was first published in 1976, it has gained new significance and renewed interest among statisticians...
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Partial Differential Equations
Partial differential equations (PDEs) are essential for modeling many physical phenomena. This undergraduate textbook introduces students to the topic with a unique approach...
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Shapes and Geometries: Metrics, Analysis, Differential Calculus, and Optimization, 2nd Edition
This considerably enriched new edition provides a self-contained presentation of the mathematical foundations
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