SIAM (Society for Industrial and Applied Mathematics)

A Hybrid Analytical-Numerical Technique for Elliptic PDEs
Colbrook, M., Fokas, T., Hashemzadeh, P.

SIAM J. Sci. Comput. 41, A1066 (2019)

Efficient Quadrature Rules for Computing the Stiffness Matrices of Mass-Lumped Tetrahedral Elements for Linear Wave Problems
Geevers, S., Mulder, W., van der Vegt, J.

SIAM J. Sci. Comput. 41, A1041 (2019)

A Discontinuous Galerkin Finite Element Method fOR Uniformly Elliptic Two Dimensional Oblique Boundary-Value Problems
Kawecki, E.

SIAM J. Numer. Anal. 57, 751 (2019)

Analysis of a Time-Stepping Scheme for Time Fractional Diffusion Problems with Nonsmooth Data
Li, B., Luo, H., Xie, X.

SIAM J. Numer. Anal. 57, 779 (2019)

Asymptotic of Steady Vortex Pair in the Lake Equation
Dekeyser, J.

SIAM J. Math. Anal. 51, 1209 (2019)

Linear Instability and Uniqueness of the Peaked Periodic Wave in the Reduced Ostrovsky Equation
Geyer, A., Pelinovsky, D.

SIAM J. Math. Anal. 51, 1188 (2019)

A Regularized Dean--Kawasaki Model: Derivation and Analysis
Cornalba, F., Shardlow, T., Zimmer, J.

SIAM J. Math. Anal. 51, 1137 (2019)

A Local Approach to the Erdös--Sós Conjecture
Rozhoň, V.

SIAM J. Discrete Math. 33, 643 (2019)

Optimal Control of the Two-Dimensional Stationary Navier--Stokes Equations with Measure Valued Controls
Casas, E., Kunisch, K.

SIAM J. Control Optim. 57, 1328 (2019)

Induced Universal Hypergraphs
Alon, N., Sherman, N.

SIAM J. Discrete Math. 33, 629 (2019)

Sinkhorn Algorithm for Lifted Assignment Problems
Kushinsky, Y., Maron, H., Dym, N., Lipman, Y.

SIAM J. Imaging Sci. 12, 716 (2019)

Data-Driven Identification of Parametric Partial Differential Equations
Rudy, S., Alla, A., Brunton, S., Kutz, J.

SIAM J. Appl. Dyn. Syst. 18, 643 (2019)

Application of Topological Degree Theory to the Equilibrium Point in Irregular Gravitational Field
Sun, H., Li, J.

SIAM J. Appl. Dyn. Syst. 18, 629 (2019)

An Open-System Approach to Complex Biological Networks
Rebolledo, R., Navarrete, S., Kéfi, S., Rojas, S., Marquet, P.

SIAM J. Appl. Math. 79, 619 (2019)

Reversible Doi and Smoluchowski Kinetics for High-Order Reactions
Cavallo, J., Flegg, M.

SIAM J. Appl. Math. 79, 594 (2019)

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Computational Mathematics with SageMath

SageMath, or Sage for short, is an open-source mathematical software system based on the Python language that provides the most recent algorithms and tools. Developed by an international community of teachers and researchers whose aim is to provide an alternative to commercial products, Sage is freely available and is supported by all modern operating systems. Computational Mathematics with SageMath focuses on the underlying mathematics necessary to use Sage efficiently and is illustrated with concrete examples. It is accessible to high school and undergraduate students as well as graduate students, teachers, and researchers.

Nonlocal Modeling, Analysis, and Computation

Author(s): Qiang Du
Published: 2019
Pages: 174
ISBN: 978-1-61197-561-1
eISBN: 978-1-61197-562-8

Bits and Bugs

Author(s): Thomas Huckle and Tobias Neckel
Published: 2019
Pages: 259
ISBN: 978-1-61197-555-0
eISBN: 978-1-61197-556-7

Finite Element Exterior Calculus

Author(s): Douglas N. Arnold
Published: 2018
Pages: 126
ISBN: 978-1-61197-553-6
eISBN: 978-1-61197-554-3

Computational Mathematics with SageMath

Author(s): Paul Zimmermann , Alexandre Casamayou , Nathann Cohen , Guillaume Connan , Thierry Dumont , Laurent Fousse , François Maltey , Matthias Meulien , Marc Mezzarobba , Clément Pernet , Nicolas M. Thiéry , Erik Bray , John Cremona , Marcelo Forets , Alexandru Ghitza and Hugh Thomas
Published: 2018
Pages: 459
ISBN: 978-1-61197-545-1
eISBN: 978-1-61197-546-8

Solitons in Two-Dimensional Shallow Water

Author(s): Yuji Kodama
Published: 2018
Pages: 260
ISBN: 978-1-61197-551-2
eISBN: 978-1-61197-552-9

Introduction to the Scenario Approach

Author(s): Marco C. Campi and Simone Garatti
Published: 2018
Pages: 122
ISBN: 978-1-61197-543-7
eISBN: 978-1-61197-544-4

Scientific Computing

Author(s): Michael T. Heath
Published: 2018
Pages: 587
ISBN: 978-1-61197-557-4
eISBN: 978-1-61197-558-1

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