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SIAM J. Numer. Anal. 58, 3332 (2020)
Optimal Periodic Replenishment Policies for Spectrally Positive Lévy Demand Processes
Pérez, José-Luis, Yamazaki, Kazutoshi, Bensoussan, Alain
Pérez, José-Luis, Yamazaki, Kazutoshi, Bensoussan, Alain
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SIAM J. Control Optim. 58, 3428 (2020)
A Gauss--Seidel Type Method for Dynamic Nonlinear Complementarity Problems
Wu, Shu-Lin, Zhou, Tao, Chen, Xiaojun
Wu, Shu-Lin, Zhou, Tao, Chen, Xiaojun
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SIAM J. Control Optim. 58, 3389 (2020)
On the Solution Structure of Infinite-Dimensional Linear Problems Stemming from Singular Stochastic Control Problems
Vieten, Martin G., Stockbridge, Richard H.
Vieten, Martin G., Stockbridge, Richard H.
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SIAM J. Control Optim. 58, 3363 (2020)
New Classes of Finite Dimensional Filters with Nonmaximal Rank Estimation Algebra on State Dimension $n$ and Linear Rank $n-2$
Jiao, Xiao-pei, Yau, Stephen S.-T.
Jiao, Xiao-pei, Yau, Stephen S.-T.
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SIAM J. Control Optim. 58, 3413 (2020)
A Nonlinear Hyperbolic Model for Radiative Transfer Equation in Slab Geometry
Fan, Yuwei, Li, Ruo, Zheng, Lingchao
Fan, Yuwei, Li, Ruo, Zheng, Lingchao
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SIAM J. Appl. Math. 80, 2388 (2020)
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SIAM J. Matrix Anal. Appl. 41, 1771 (2020)
Structured Random Sketching for PDE Inverse Problems
Chen, Ke, Li, Qin, Newton, Kit, Wright, Stephen J.
Chen, Ke, Li, Qin, Newton, Kit, Wright, Stephen J.
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SIAM J. Matrix Anal. Appl. 41, 1742 (2020)
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SIAM J. Matrix Anal. Appl. 41, 1726 (2020)
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SIAM J. Control Optim. 58, 3293 (2020)
Analysis of Optimal Control Problems for Hybrid Systems with One State Variable
Reddy, Puduru Viswanadha, Schumacher, Johannes M., Engwerda, Jacob C.
Reddy, Puduru Viswanadha, Schumacher, Johannes M., Engwerda, Jacob C.
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SIAM J. Control Optim. 58, 3262 (2020)
Practical Fixed-Time Bipartite Consensus of Nonlinear Incommensurate Fractional-Order Multiagent Systems in Directed Signed Networks
Gong, Ping, Han, Qing-Long
Gong, Ping, Han, Qing-Long
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SIAM J. Control Optim. 58, 3322 (2020)
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SIAM J. Control Optim. 58, 3342 (2020)
Anomalous Diffusions in Option Prices: Connecting Trade Duration and the Volatility Term Structure
Jacquier, Antoine, Torricelli, Lorenzo
Jacquier, Antoine, Torricelli, Lorenzo
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SIAM J. Finan. Math. 11, 1137 (2020)
Constructive Polynomial Partitioning for Algebraic Curves in $\mathbb{R}^3$ with Applications
Aronov, Boris, Ezra, Esther, Zahl, Joshua
Aronov, Boris, Ezra, Esther, Zahl, Joshua
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SIAM J. Comput. 49, 1109 (2020)
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 indispensable to researchers, faculty, and students around the world. The collection includes more than 450 searchable titles for institutions to offer to their users electronically.
Featured Books
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Algorithms from THE BOOK
This textbook is aimed at first-year graduate and advanced undergraduate students. It will also serve as a convenient reference for professionals throughout the mathematical sciences, physical sciences, engineering, and the quantitative sectors of the biological and social sciences.
Numerical Analysis: Theory and Experiments
Numerical Analysis: Theory and Experiments is designed to be the primary text for a junior- or senior-level undergraduate course in numerical analysis for mathematics majors. Scientists and engineers interested in numerical methods, particularly those seeking an accessible introduction to Chebyshev methods, will also be interested in this book.
Solving Problems in Multiply Connected Domains
This book is aimed at applied and pure mathematicians, engineers, physicists, and other natural scientists. It provides a rich source of project material for a range of undergraduate and graduate courses in the applied sciences and could serve as a complement to standard texts on advanced calculus, potential theory, partial differential equations and complex analysis, and as a supplement to texts on applied mathematical methods in engineering and science.
Practical Methods for Optimal Control Using Nonlinear Programming, Third Edition
This book will be valuable for academic and industrial research and development in optimal control theory and applications. It is appropriate as a primary or supplementary text for advanced undergraduate and graduate students.
Riemann Problems and Jupyter Solutions
Graduate students and researchers working in the analysis and/or numerical solution of hyperbolic PDEs will find this book of interest. This includes mathematicians, as well as scientists and engineers, working with applications like fluid dynamics, water waves, traffic modeling, or electromagnetism. Educators interested in developing instructional materials using Jupyter notebooks will also find this book useful. The book is appropriate for courses in Numerical Methods for Hyperbolic PDEs and Analysis of Hyperbolic PDEs, and it can be a great supplement for courses in computational fluid dynamics, acoustics, and gas dynamics.
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