Society for Industrial and Applied Mathematics

Linear and Nonlinear Inverse Problems with Practical Applications

Jennifer L. Mueller

Fair

Jan Modersitzki

Linear and Nonlinear Optimization

Igor. Griva

Linear and Nonlinear Functional Analysis with Applications

Philippe G. Ciarlet

Scientific Computing

Michael T. Heath

Numerical Linear Algebra and Optimization

Philip E. Gill

Methods in Computational Science

Johan Hoffman

First Course in Options Pricing Theory

Simone Calogero

Hessenberg and Tridiagonal Matrices

Gérard A. Meurant

The Jackknife, the Bootstrap and Other Resampling Plans

Bradley Efron

Industrial Mathematics

Avner Friedman

Initial-Boundary Value Problems and the Navier-Stokes Equations

Heinz-Otto Kreiss

First-Order Methods in Optimization

Amir Beck

PETSc for Partial Differential Equations

Edward L. Bueler

Numerical Linear Algebra

Lloyd N. Trefethen

Dynamics and Bifurcation in Networks

Martin Golubitsky

Matrix Analysis and Applied Linear Algebra

Ramble Through Probability

Algorithmic Mathematics in Machine Learning

Bastian Bohn

First Course in Linear Optimization

Amir Beck

Large Deviations and Applications

S.R.S. Varadhan

Numerical Linear Algebra for High-Performance Computers

Jack J. Dongarra

Algebraic Theory of Automata Networks

Pál Dömösi

Matlab Guide

Desmond J. Higham

Symmetry in Chaos

Michael Field

Modeling, Simulation, and Optimization of Supply Chains

Ciro D'apice

Numerical Methods for Large Eigenvalue Problems

Yousef Saad

From Vector Spaces to Functional Analysis

Yutaka Yamamoto