Springer: Springer eBook Collection

分野 タイトル 出版社 ISBN
007 情報学・情報科学 Symbolic and Quantitative Approaches to Reasoning with Uncertainty (Lecture Notes in Computer Science, 6717) Springer 978-3-642-22151-4
41 数学 Symbolic Integration I (Algorithms and Computation in Mathematics, 1) Springer 978-3-540-21493-9
41 数学 Symbolic-Numeric Computation (Trends in Mathematics) Springer 978-3-7643-7983-4
41 数学 Symmetric Functionals on Random Matrices and Random Matchings Problems (The IMA Volumes in Mathematics and its Applications, 147) Springer 978-0-387-75145-0
41 数学 Symmetric Spaces and the Kashiwara-Vergne Method (Lecture Notes in Mathematics, 2115) Springer 978-3-319-09772-5
41 数学 Symmetries and Overdetermined Systems of Partial Differential Equations (The IMA Volumes in Mathematics and its Applications, 144) Springer 978-0-387-73830-7
41 数学 Symmetries of Compact Riemann Surfaces (Lecture Notes in Mathematics, 2007) Springer 978-3-642-14827-9
41 数学 Symmetries, Integrable Systems and Representations (Springer Proceedings in Mathematics & Statistics, 40) Springer 978-1-4471-4862-3
41 数学 Symmetry Springer 978-3-7643-7554-6
41 数学 Symmetry Springer 978-1-4614-0298-5
41 数学 Symmetry and Pattern in Projective Geometry Springer 978-1-4471-4630-8
41 数学 Symmetry and Spaces (Progress in Mathematics, 278) Springer 978-0-8176-4874-9
41 数学 Symmetry, Representations, and Invariants (Graduate Texts in Mathematics, 255) Springer 978-0-387-79851-6
41 数学 Symplectic 4-Manifolds and Algebraic Surfaces (Lecture Notes in Mathematics, 1938) Springer 978-3-540-78278-0
41 数学 Symplectic Geometric Algorithms for Hamiltonian Systems Springer 978-3-642-01776-6
41 数学 Symplectic Geometry and Quantum Mechanics (Operator Theory: Advances and Applications, 166) Springer 978-3-7643-7574-4
41 数学 Symplectic Invariants and Hamiltonian Dynamics (Modern Birkhäuser Classics) Springer 978-3-0348-0103-4
41 数学 Symplectic Methods in Harmonic Analysis and in Mathematical Physics (Pseudo-Differential Operators, 7) Springer 978-3-7643-9991-7
007 情報学・情報科学 SynDEVS Co-Design Flow Springer 978-3-658-00396-8
41 数学 Synthetic Datasets for Statistical Disclosure Control (Lecture Notes in Statistics, 201) Springer 978-1-4614-0325-8