applied mathematics springer

Time-Domain Finite Element Methods for Maxwell's Equations in Metamaterials - (Springer Computational Mathematics) by Jichun Li & Yunqing Huang

Linear Algebra with Python - (Springer Undergraduate Texts in Mathematics and Technology) (Hardcover)

Computability of Julia Sets - (Algorithms and Computation in Mathematics) by Mark Braverman & Michael Yampolsky (Hardcover)

Physics and Mathematics in Musical Composition - by Kinko Tsuji & Stefan C Müller (Hardcover)

The Art of the What-If? - by Paul J Nahin (Paperback)

Diskrete Algebraische Methoden - (De Gruyter Studium) by Volker Diekert & Manfred Kufleitner & Gerhard Rosenberger (Hardcover)

Algebra - (Universitext) by Falko Lorenz (Paperback)

Machine Learning-Augmented Spectroscopies for Intelligent Materials Design - (Springer Theses) by Nina Andrejevic (Hardcover)

Finite Element Analysis for Composite Structures - (Solid Mechanics and Its Applications) by L T Tenek & John Argyris (Hardcover)

Loss Data Analysis - (De Gruyter Stem) 2nd Edition by Henryk Gzyl & Silvia Mayoral & Erika Gomes-Gonçalves (Paperback)

An Introduction to Sequential Monte Carlo - (Springer Statistics) by Nicolas Chopin & Omiros Papaspiliopoulos (Hardcover)

Advanced Reactor Modeling with MATLAB - (De Gruyter Stem) by Riccardo Tesser & Vincenzo Russo (Paperback)

Pi Und Die Primzahlen - by Edmund Weitz (Hardcover)

Fourier Transform: Algorithms and Applied Principles - by May Hooper (Hardcover)

Fixed Point Theory in Generalized Metric Spaces - (Synthesis Lectures on Mathematics & Statistics) by Erdal Karapinar & Ravi P Agarwal (Hardcover)

The Graduate Student's Guide to Numerical Analysis '98 - (Springer Computational Mathematics) by Mark Ainsworth & Jeremy Levesley & Marco Marletta

The Analysis of Linear Partial Differential Operators III - (Classics in Mathematics) by Lars Hörmander (Paperback)

Introduction to Partial Differential Equations - (Undergraduate Texts in Mathematics) by Peter J Olver (Hardcover)

Mathematical Foundations for Data Analysis - (Springer the Data Sciences) by Jeff M Phillips (Hardcover)

Computational Mathematics: Concepts and Applied Principles - by Lawrence Grattan (Hardcover)

Krylov Subspace Methods for Linear Systems - (Springer Computational Mathematics) by Tomohiro Sogabe (Paperback)

Numerical Methods of Mathematics Implemented in FORTRAN - (Forum for Interdisciplinary Mathematics) by Sujit Kumar Bose (Hardcover)